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Konstantinos Stefanidis

Professor
Data science
Faculty of Information Technology and Communication Sciences
Tampere University
+358504174121
konstantinos.stefanidis@tuni.fi

About me

My name is Kostas Stefanidis and I am a Professor on Data Science at the Faculty of Information Technology and Communication Sciences (ITC) of the Tampere University in Finland, where I also lead the Data Science Subunit and the Group on Recommender Systems. I have more that 10 years of experience in different roles at ICS-FORTH in Greece, NTNU in Norway and CUHK in Hong Kong. I got my PhD in personalized data management from the Univ. of Ioannina in Greece. My research interests are in the broader area of big data. My work focuses on personalization and recommender systems, entity resolution, data exploration and data analytics, with a special focus recently on socio-technical aspects in data management like fairness and transparency, and published in more than 100 papers in top-tier conferences and journals. I have been involved in several international and national research projects and I am also actively serving the scientific community. Currently, I am the General co-Chair of EDBT/ICDT 2026, ADBIS 2025, TPDL 2025, and ICWE 2024.

Research topics

Recommender Systems / Fairness / Entity Resolution / Data-Driven Software Evolution Analysis / Question Answering over Knowledge Bases

Moncef Gabbouj

Professor
Information Technology
Faculty of Information Technology and Communication Sciences
Tampere University
+358400736613
moncef.gabbouj@tuni.fi

https://orcid.org/0000-0002-9788-2323

More information

About me

Dr. MONCEF GABBOUJ received his BS degree in electrical engineering in 1985 from Oklahoma State University, Stillwater, and his MS and PhD degrees in electrical engineering from Purdue University, West Lafayette, Indiana, in 1986 and 1989, respectively.

Dr. Gabbouj is a Professor of Signal Processing at the Department of Computing Sciences, Tampere University, Tampere, Finland. He was Academy of Finland Professor during 2011-2015. He was a visiting professor at the Departments of Electronic and Computer Engineering and Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong. Dr. Gabbouj was on sabbatical leave as a visiting scholar at the Viterbi School of Engineering, University of Southern California, Los Angeles, California, during spring 2012, a visiting professor at the School of Electrical and Computer Engineering of Purdue University, West Lafayette, Indiana during fall 2011, and a visiting professor at the American University of Sharjah, UAE in 2007-2008. He was Head of the Department during 2002-2007. Dr. Gabbouj was Senior Research Fellow of the Academy of Finland during 2007-2008 and 1997-1998. He is the co-founder and past CEO of SuviSoft Oy Ltd. From 1995 to 1998 he was a Professor with the Department of Information Technology of Pori School of Technology and Economics. From 1994 to 1995 he was an Associate Professor with the Signal Processing Laboratory of Tampere University of Technology, Tampere, Finland. From 1990 to 1993 he was a senior research scientist with the Research Institute for Information Technology, Tampere, Finland. Dr. Gabbouj is currently the Finland Site Director of the NSF IUCRC funded Center for Visual and Decision Informatics and a former member of the Science Council of Tampere University of Technology. His research interests include Big Data analytics, multimedia content-based analysis, indexing and retrieval, artificial intelligence, machine learning, pattern recognition, nonlinear signal and image processing and analysis, voice conversion, and video processing and coding.

Dr. Gabbouj is an IEEE Fellow. He is a member of the IEEE Fourier Award Committee. He is member of the Academia Europaea and the Finnish Academy of Science and Letters. He served as Distinguished Lecturer for the IEEE Circuits and Systems Society in 2004-2005, and Past-Chairman of the IEEE-EURASIP NSIP (Nonlinear Signal and Image Processing) Board. He was chairman of the Algorithm Group of the EC COST 211quat. He served as associate editor of the IEEE Transactions on Image Processing, and was guest editor of Multimedia Tools and Applications, the European journal Applied Signal Processing. He is the past chairman of the IEEE Finland Section, the IEEE Circuits and Systems Society, Technical Committee on Digital Signal Processing, and the IEEE SP/CAS Finland Chapter. Dr. Gabbouj was the General Co-Chair of ICIP 2024 and 2020. He was also Chairman of EUVIP 2014, CBMI 2005, WIAMIS 2001 and the TPC Chair of ISCCSP 2006 and 2004, CBMI 2003, EUSIPCO 2000, NORSIG 1996 and the DSP track chair of the 1996, 2012, 2013 and 2014 IEEE ISCAS. He is also member of EURASIP Advisory Board and past member of AdCom. He also served as Publication Chair and Publicity Chair of IEEE ICIP 2005 and IEEE ICASSP 2006, respectively. Dr. Gabbouj was Honorary Guest Professor of Jilin University, China (2005-2010).

Dr. Gabbouj was the Director of the International University Programs in Information Technology (1991-2007) and vice member of the Council of the Department of Information Technology at Tampere University of Technology. He is also the Vice-Director of the Academy of Finland Center of Excellence SPAG, Secretary of the International Advisory Board of Tampere International Center of Signal Processing, TICSP, and member of the Board of the Digital Media Institute. He served as Tutoring Professor for Nokia Mobile Phones Leading Science Program (2005-2007 and 1998-2001). He is a member of IEEE SP and CAS societies.

Dr. Gabbouj was the recipient of the 2017 Finnish Cultural Foundation for Art and Science Award, the 2015 TUT Foundation Grand Award, the 2012 Nokia Foundation Visiting Professor Award, the 2005 Nokia Foundation Recognition Award. He is the co-recipient of the Myril B. Reed Best Paper Award from the 32nd Midwest Symposium on Circuits and Systems and the NORSIG Best Paper Award from the 1994 Nordic Signal Processing Symposium. He was also the supervisor of the main author receiving the Best Student Paper Award from IEEE International Symposium on Multimedia, ISM 2011, the IBM Best Paper Award at ICPR 2014 and IPTA 2016. He published two books and over 800 journal and conference papers and supervised 64 doctoral and 72 Master theses.

Dr. Gabbouj is the Finland Site Director of the NSF IUCRC funded Center for Big Learning and NSF IUCRC Center for Visual and Decision Informatics (CVDI) and leads the Artificial Intelligence Research Task Force of the Ministry of Economic Affairs and Employment funded Research Alliance on Autonomous Systems (RAAS). Dr. Gabbouj has been involved in several past and current EU Research and education projects and programs, including Horizon, ESPRIT, HCM, IST, COST, Tempus and Erasmus. He also served as Evaluator of IST proposals, and Auditor of a number of ACTS and IST projects on multimedia security, augmented and virtual reality, image and video signal processing.

Responsibilities

Current position

1.9.1998 – Professor, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland (prior to 1.1.2019, Tampere University of Technology)

2015 – Director, National Science Foundation IUCRC CVDI Finland Site

Previous work experience

2011 – 2015: Academy of Finland professor, Academy of Finland, Tampere University of Technology, Finland

2012 – 2013: Visiting Professor, Department of Electronics and Computer Engineering and the Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong

2011 – 2012: Visiting Professor, School of EE, Purdue University, West Lafayette, IN (Aug. – Dec. 2011), & Viterbi School of Engineering, University of Southern California, Los Angeles, CA, (Jan. – June 2012) USA

2007 - 2008: Senior Research Fellow, Academy of Finland, TUT, Tampere, Finland and Visiting Professor, Department of Electrical Engineering, American Univ. of Sharjah, UAE (August 2007– May 2008)

2002 - 2007: Head, Department of Signal Processing, Tampere University of Technology, Tampere, Finland

1998 – 2007: Tutoring Professor, Nokia Leading Science Program, Nokia Mobile Phones Leading Science Programs 1-4 (1998-2002); and Leading Science 8 and 9 (2005-2007)

1997 - 1998: Senior Research Fellow, Academy of Finland, TUT, Tampere, Finland.

1.11.1995 – 31.8.2000: Professor, Department of Information Technology, Pori, TUT, Pori, Finland (moved to main Campus on 1.9.1998 as a full professor)

1.4.1994 – 31.10.1995: Associate Professor (apulaisprofessori), Signal Processing Laboratory, Tampere University of Technology

1993 – 1994: Acting Associate Professor, Signal Processing Laboratory, Tampere University of Technology

1990 – 1993: Lecturer (tuntiopettaja), Signal Processing Laboratory, TUT, Tampere, Finland

Field of expertise

Dr. Gabbouj’s research interests include applied artificial intelligence, machine learning, Big Data analytics, multimedia communications, pattern recognition, nonlinear signal and image processing, voice conversion, and video processing and coding. He published three books and over 800 journal and conference papers and supervised 50 doctoral and 72 Master theses.

Research unit

Director of the Signal Analysis and Machine Intelligence (SAMI) research group.

Research career

2011 – 2015: Academy of Finland professor, Academy of Finland;
2012 – 2013: Visiting Professor, Hong Kong University of Science and Technology, Hong Kong;
2011: Visiting Professor, Purdue University, USA;
2012: Visiting Professor, University of Southern California, USA;
2002 - 2007: Head of Department of Signal Processing, Tampere University of Technology

Top achievements

Main positions of trust

IEEE John Choma Education Award Committee, 2021.
IEEE Fourier Award for Signal Processing Committee, 2013-2014;
IEEE Signal Processing Society Big Data Interest Group (BIG-SIG), 2014;
EURASIP Advisory Committee, since 2012;
General co-Chair of IEEE International Symposium on Circuits and Systems, 2019;
General co-Chair of IEEE International Conference on Image Processing, 2020;
Director, NSF Center for Visual and Decision Informatics, Finland Site;
Distinguished Lecturer, IEEE DLP of the CAS society, 2004-2005;
Chairman, IEEE Finland Section, 2002-2003; Executive Committee member, 2004-2005;
Chairman, Technical Committee on DSP, IEEE Circuits and Systems Society, 1994- 1995, Chairman-Elect, 1993-1994, and Secretary, 1991-1992;
Chairman, IEEE Signal Processing and Circuits and Systems, Finland Chapter, 2002-2004;
Member, Editorial Board of Signal, Image and Video Processing, Springer;
Associate Editor, IEEE Transactions on Image Processing, 1994-1998;
Member, Editorial Board of EURASIP Book Series on Signal Processing and Communications;
Guest Editor, Springer Journal of Multimedia Tools and Applications, 2006;
Guest Editor, the European Journal Applied Signal Processing, 2002;
Guest Editor, the European journal Signal Processing, August 1994.

Selected publications

Journal Publications and Patents

A. PEER REVIEWED SCIENTIFIC JOURNAL ARTICLES

1. E. J. Coyle, J.-H. Lin, and M. Gabbouj, "Optimal Stack Filtering and the Estimation and Structural Approaches to Image Processing," (Invited paper) IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. 37, no. 12, pp. 2037-2066, December 1989.

2. M. Gabbouj and E. J. Coyle, "Minimum Mean Absolute Error Stack Filtering With Structural Constraints," IEEE Transactions Acoustics, Speech, Signal Processing, Vol. ASSP-38, pp. 955-968, June 1990.

3. B. Zeng, M. Gabbouj, and Y. Neuvo, "A Unified Design Method for Rank Order, Stack and Generalized Stack Filters Based on Classical Bayes Decision," IEEE Transactions on Circuits and Systems, Vol. 38, No. 9, pp. 1003-1020, September 1991.

4. M. Gabbouj and E.J. Coyle, "On the LP Which Finds a MMAE Stack Filter," IEEE Transactions on Signal Processing, Vol. 39, No. 11, pp. 2419-2424, November 1991.

5. P. Haavisto, M. Gabbouj, and Y. Neuvo, "Median Based Idempotent Filters," Journal of Circuits, Systems and Computers, Vol. 1, No. 2, pp. 125-148, 1991.

6. M. Gabbouj, P.-T. Yu and E.J. Coyle, "Convergence Behavior and Root Signal Sets of Stack Filters," Circuits, Systems, and Signal Processing, Special issue on Median and Morphological Filtering, Vol. 11, No. 1, pp. 171-193, 1992.

7. M. Gabbouj, E.J. Coyle and N.C. Gallagher, Jr., "An Overview of Median and Stack Filtering," Circuits, Systems, and Signal Processing, Special issue on Median and Morphological Filtering, Vol. 11, No. 1, pp. 7-45, 1992.

8. Q. Wang, M. Gabbouj, and Y. Neuvo, "Root Signal Sets of Morphological Filters and Their Use in Variable-Length BTC Image Coding," Journal of Mathematical Imaging and Vision, Vol. 2, pp. 155-171, 1992.

9. Q. Wang, M. Gabbouj, and Y. Neuvo, "Root Properties of Morphological Filters," Signal Processing, Vol. 34, No. 2, pp. 131-148, November 1993.

10. Jacek Niewȩgłowski, Moncef Gabbouj and Yrjö Neuvo, "Weighted medians — positive Boolean functions conversion algorithms," Signal Processing, 1993, vol. 34, no. 2, pp. 149 -161.

11. T. Sun, M. Gabbouj and Y. Neuvo, "Center Weighted Median Filters: Some Properties and Application in Image Processing,” Signal Processing, Vol. 35, No. 3, pp. 213-229, February 1994.

12. T. Sun, M. Gabbouj and Y. Neuvo, "Adaptive L-Filters with Applications in Signal and Image Processing," Signal Processing, Special Issue on Nonlinear Digital Signal Processing, Vol. 38, No. 3, pp. 331-344, 1994.

13. R. Yang, M. Gabbouj, and P.-T. Yu, "Parametric Analysis of Weighted Order Statistic Filters," IEEE Signal Processing Letters, Vol. 1, No. 6, pp. 95-98, June 1994.

14. A.G. Bors and M. Gabbouj, "Minimal Topology for a Radial Basis Functions Neural Network for Pattern Classification," Digital Signal Processing, Academic Press, Vol. 4, No. 3, pp. 173-188, July 1994.

15. R. Yang, L. Yin, M. Gabbouj, J. Astola, and Y. Neuvo, "Optimal Weighted Median Filtering under Structural Constraints," IEEE Transactions on Signal Processing, Vol. 43, No. 3, pp. 591-604, March 1995.

16. T. Sun, M. Gabbouj, and Y. Neuvo, "Analysis of Two-Dimensional Center Weighted Median Filters," Multidimensional Systems and Signal Processing, Vol. 6, No. 2, pp. 159-172, April 1995.

17. R. Yang, M. Gabbouj and Y. Neuvo, "Fast Algorithms for Analyzing and Designing Weighted Median Filters," Signal Processing, Vol. 41, pp. 135-152, 1995.

18. H. Chen, R. Yang, M. Gabbouj, "On Root Structures and Convergence Properties of Weighted Median Filters," Journal of Circuits, Systems, and Computers, Vol. 14, No. 6, pp. 735-747, 1995.

19. L. Yin, R. Yang, M. Gabbouj, and Y. Neuvo, "Weighted Median Filters: A Tutorial," IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 43, No. 3, pp. 157-192, March 1996.

20. I. Tabus, D. Petrescu and M. Gabbouj, "A Training Framework for Stack and Boolean Filtering--Fast Optimal Design Procedures and Robustness Case Study," IEEE Transactions on Image Processing, Special Issue on Nonlinear Image Processing, Vol. 5, No. 6, pp. 809-826, June 1996.

21. I. Pitas, C. Kotropoulos, N. Nikolaidis, R. Yang, and M. Gabbouj, "Order Statistics Learning Vector Quantizer," IEEE Transactions on Image Processing, Special Issue on Nonlinear Image Processing, Vol. 5, No. 6, pp. 1048-1053, June 1996.

22. A. Moga and M. Gabbouj, "Parallel Image Component Labeling with Watershed Transformation," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 19, No. 5, May 1997, pp. 441-450.

23. M. Karczewicz and M. Gabbouj, "ECG Data Compression by Spline Approximation," Signal Processing, Vol. 59, No. 1, pp. 43-59, 1997.

24. L. Khriji and M. Gabbouj, "Median-Rational Hybrid Filters for Image Restoration", Electronic Letters, vol.34 No.10 pp. 977-979, May 1998.

25. A. Moga and M. Gabbouj, "Parallel Marker-Based Image Segmentation with Watershed Transformation," Journal of Parallel and Distributed Computing, JPDC-51 (1): 27-45, May 1998.

26. M. Karczewicz and M. Gabbouj, "Robust B-Spline Image Modeling with Application to Image Processing," IEEE Transactions on Image Processing, Vol. 7, No. 6, June 1998, pp. 912-917.

27. A. Moga, B. Cramariuc and M. Gabbouj, "Parallel Watershed Transformation Algorithms for Image Segmentation," Parallel Computing, (24) 14 (Nov. 1998) pp. 1981-2001.

28. H. Jaakkola, M. Gabbouj and Y. Neuvo, “Fundamentals of Technology Diffusion and Mobile Phone Case Study,” Circuits Systems and Signal Processing, Vol. 17, No. 3, 1998, pp. 421-448.

29. R. Hamila, J. Astola, F. A. Cheikh, M. Gabbouj and M. Renfors, “Teager Energy and the Ambiguity Function,” IEEE Transactions on Signal Processing, vol. 47, no. 1, pp. 260–262, January 1999.

30. L. Khriji and M. Gabbouj, "A Class of Multichannel Image Processing Filters", IEE Electronic Letters, vol. 35, no. 4, pp. 285-287, February 1999.

31. D. Petrescu, I. Tabus and M. Gabbouj, "Prediction Capabilities of Boolean and Stack Filters for Lossless Image Compression,” Multidimensional Systems and Signal Processing, Volume 10, April 1999, pp. 161-187.

32. L. Khriji, F. Alaya Cheikh and M. Gabbouj, "High-Resolution digital Resampling Using Vector Rational," Optical Engineering, 38 (5) pp.893-901, May 1999.

33. L. Khriji and M. Gabbouj, "Vector Median-Rational Hybrid Filters for Multichannel Image Processing," IEEE Signal Processing Letters, vol.6, no. 7, pp. 186-190, July 1999.

34. Doina Petrescu, Ioan Tabus and Moncef Gabbouj, "L-M-S Filters for Image Restoration Applications," IEEE Transactions on Image Processing, vol. 8, no. 9, September 1999, pp. 1299-1305.

35. Lazhar Khriji and Moncef Gabbouj, “A New Class of Multichannel Image Processing Filters: Vector Median-Rational Hybrid Filters,” IEICE Transactions on Information and Systems, vol. E82-D, No. 12, pp. 1589-1596, December 1999.

36. Lazhar Khriji, G. Bernacchia, M. Gabbouj and G.L. Sicuranza, “Programmable Hardware System for a Class of Nonlinear Order Statistics Rational Hybrid Filters,” IEE Electronics Letters, Vol. 36, No. 10, pp. 922-923, May 2000.

37. Lazhar Khriji and Moncef Gabbouj, “Adaptive Order Statistics Rational Hybrid Filters for Multichannel Image Processing,” IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E84-A, no. 2, February 2001, pp. 422-431.

38. Ilya Shmulevich, Moncef Gabbouj and Jaakko Astola, “Complexity of the consistency problem for certain post classes,” IEEE Transactions on Systems, Man, and Cybernetics—PART B: Cybernetics, Vol. 31, No. 2, April 2001, pp. 251-253.

39. Azhar Quddus and Moncef Gabbouj, “Wavelet-based corner detection technique using optimal scale,” Pattern Recognition Letters, 23, issue 1-3 (2002) 215-220.

40. Faouzi Alaya-Cheikh, Bogdan Cramariuc, Mari Partio, Pasi Reijonen and Moncef Gabbouj, “Ordinal Measure Based Shape Correspondence,” Journal of Applied Signal Processing, Special issue on Image Analysis for Multimedia Interactive Services – Part I, Vol. 2002, No. 4, pp. 362-371, April 2002.

41. Lazhar Khriji and Moncef Gabbouj, “Adaptive Fuzzy Order Statistics-Rational Hybrid Filters for Colour Image Processing,” International Journal on Fuzzy Sets and Systems, vol. 128, No. 1, pp. 35-46, May 2002.

42. Miska M. Hannuksela, Ye-Kui Wang, and Moncef Gabbouj, “Isolated Regions in Video Coding,” IEEE Transactions on Multimedia, vol. 6, no. 2, April 2004, pp. 259-267.

43. Lazhar Khriji, Mahmoud Meribout, Moncef Gabbouj, A. Al-Naamany, “Fuzzy-Based Filtering of Multichannel Images (Invited Paper),” International Journal of Computational Cognition, Volume 2, Number 4, Pages 115–139, December 2004.

44. S. Tsekeridou, F. Alaya Cheikh, M. Gabbouj, I. Pitas, “Vector Rational Interpolation Schemes for Erroneous Motion Field Estimation Applied to MPEG-2 Error Concealment,” IEEE Transactions on Multimedia, Vol. 6, No. 6, December 2004, pp. 876-885.

45. Lazhar Khriji, M. Meribout and Moncef Gabbouj, “Detection and removal of video defects using rational-based techniques,” Elsevier Science, Advances in Engineering Software, vol. 36, issue 7 (2005) 487–495.

46. Serkan Kiranyaz and Moncef Gabbouj, "Novel Multimedia Retrieval Technique: Progressive Query (Why wait?)", in IEE Proc. Vision, Image & Signal Processing, vol. 152, no. 3, May 2005, pp. 356-366.

47. Serkan Kiranyaz, Ahmad F. Qureshi, and Moncef Gabbouj, "A Generic Audio Classification and Segmentation Approach for Multimedia Indexing and Retrieval," IEEE Transactions on Audio, Speech and Language Processing, vol. 13, no. 3, May 2006, pp. 1062-1081.

48. Serkan Kiranyaz and Moncef Gabbouj, "A Generic Content-Based Audio Indexing and Retrieval Framework", in IEE Proceedings Vision, Image and Signal Processing, vol. 153, no. 3, June 2006, pp. 285-297.

49. Chabane Djeraba, Moncef Gabbouj and Patrick Bouthemy, “Multimedia indexing and retrieval: ever great challenges,” Editorial, Multimedia Tools and Applications, special issue, Part I Video and Audio; vol. 30, no. 3, September 2006, pp. 221-228.

50. Serkan Kiranyaz, Miguel Ferreira, Moncef Gabbouj, "Automatic Object Extraction over Multi-Scale Edge Field for Multimedia Retrieval", in IEEE Transactions on Image Processing, vol. 15, no. 12, pp. 3759-3772, December 2006.

51. Serkan Kiranyaz, Moncef Gabbouj, "Hierarchical Cellular Tree: An Efficient Indexing Scheme for Content-based Retrieval on Multimedia Databases", IEEE Transactions on Multimedia, vol. 9, no. 1, January 2007, pp. 102-119.

52. Mari Partio, Bogdan Cramariuc, and Moncef Gabbouj, “An Ordinal Co-occurrence Matrix Framework for Texture Retrieval,” EURASIP Journal on Image and Video Processing, vol. 2007, Article ID 17358, 15 pages, 2007.

53. Mehdi Rezaei, Miska Hannuksela and Moncef Gabbouj, “Tune-in Time Reduction in Video Streaming over DVB-H,” in IEEE Transactions on Broadcasting, Special Issue on Mobile Multimedia Broadcasting, vol. 53, no. 1, Part 2, March 2007, pp. 320-328.

54. Serkan Kiranyaz, Miguel Ferreira and Moncef Gabbouj, “A generic shape/texture descriptor over multiscale edge field: 2-D walking ant histogram,” IEEE Transactions on Image Processing, Volume 17, Issue 3, March 2008, pp. 377 - 391.

55. Mehdi Rezaei, Miska Hannuksela and Moncef Gabbouj, “Fuzzy rate controller for variable bit rate video,” IEEE Transactions on Circuits and Systems for Video Technology, Volume 18, Issue 5, May 2008, pp. 633 - 645.

56. Esin Guldogan and Moncef Gabbouj, “Feature Selection for Content-based Image Retrieval”, Signal, Image and Video Processing, Vol. 2, No. 3, September 2008, pp. 241-250.

57. Mehdi Rezaei, Imed Bouazizi and Moncef Gabbouj, “Joint Video Coding and Statistical Multiplexing for Broadcasting over DVB-H Channels,” IEEE Transactions on Multimedia, vol. 10, no. 8, December 2008, pp. 1455-1464.

58. Jin Li, Moncef Gabbouj and Jarmo Takala, “Hybrid Modeling of Intra-DCT Coefficients for Real-Time Video Encoding,” EURASIP Journal on Image and Video Processing, Volume 2008 (2008), Article ID 749172, 13 pages, doi:10.1155/2008/7491722009.

59. Mehdi Rezaei, Imed Bouazizi and Moncef Gabbouj, “Statistical Time-Frequency Multiplexing of HD Video Traffic in DVB-T2,” International Journal of Digital Multimedia Broadcasting, vol. 2009, Article ID 186960, 2009.

60. Ying Chen, Ye-Kui Wang, Kemal Ugur, Miska Hannuksela, Jani Lainema and Moncef Gabbouj, “The Emerging MVC Standard for 3D Video Services,” Eurasip Journal on Advances in Signal Processing, vol. 2009, Article ID 786015, accepted 5 March 2008, published 2009.

61. Kemal Ugur, Dmytro Rusanovskyy, Antti Hallapuro, Jani Lainema, Moncef Gabbouj, "Efficient implementation of adaptive interpolation filters for low complexity video coding," IEEE Transactions on Consumer Electronics, Volume 55, Issue 1, February 2009, pp. 257 - 263.

62. Dmytro Rusanovskyy, Kemal Ugur, Antti Hallapuro, Jani Lainema, Moncef Gabbouj, ”Video Coding with Low Complexity Directional Adaptive Interpolation Filters,” IEEE Transactions on Circuits and Systems for Video Technology, Volume 19, Issue 8, Aug. 2009, pp. 1239 - 1243.

63. Mehdi Rezaei, Imed Bouazizi and Moncef Gabbouj, “Implementing Statistical Multiplexing in DVB-H,” International Journal of Digital Multimedia Broadcasting, vol. 2009, Article ID 261231, 2009.

64. Turker Ince, Serkan Kiranyaz and Moncef Gabbouj, “A Generic and Robust System for Automated Patient-Specific Classification of Electrocardiogram Signals,” IEEE Transactions on Biomedical Engineering, Volume 56, Issue 5, May 2009, pp. 1415 - 1426.

65. Yi Guo, Ying Chen, Ye-Kui Wang, Houqiang Li, Miska Hannuksela, Moncef Gabbouj, “Error Resilient Coding and Error Concealment in Scalable Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, Volume 19, Number 6, June 2009, pp. 781-795.

66. Serkan Kiranyaz, Turker Ince, Alper Yildirim and Moncef Gabbouj, “Evolutionary Artificial Neural Networks by Multi-Dimensional Particle Swarm Optimization”, Neural Networks, doi:10.1016/j.neunet.2009.05.013, vol. 22, no. 10, pp. 1448-1462, December 2009.

67. Mehdi Rezaei, Imed Bouazizi, and Moncef Gabbouj, “Fuzzy joint encoding and statistical multiplexing of multiple video sources with independent quality of services for streaming over DVB-H,” International Journal of Innovative Computing, Information and Control, vol. 5, no. 7, July 2009, pp. 1837-1850.

68. Esin Guldogan and Moncef Gabbouj, “System Profiles in Content-Based Image Indexing and Retrieval”, Journal of Signal Image and Video Processing, DOI 10.1007/s11760-009-0137-0, 2009.

69. Serkan Kiranyaz, Stefan Uhlmann, Turker Ince and Moncef Gabbouj, "Perceptual Dominant Color Extraction by Multi-Dimensional Particle Swarm Optimization," EURASIP Journal on Advances in Signal Processing, vol. 2009 (2009), Article 451638, 13 pages, doi:10.1155/2009/451638.

70. Serkan Kiranyaz, Murat Birinci and Moncef Gabbouj, "Perceptual Color Descriptor Based on Spatial Distribution: a Top-Down Approach," Image and Vision Computing (2010), doi: 10.1016/j.imavis.2010.01.012.

71. Elina Helander, Tuomas Virtanen, Jani Nurminen, and Moncef Gabbouj, “Voice Conversion Using Partial Least Squares Regression,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 10, no. 5, 2010, pp. 912-921.

72. Junyong You, Ulrich Reiter, Miska Hannuksela, Moncef Gabbouj and Andrew Perkis, “Perceptual-based Quality Assessment for Audio-visual Services: A Survey," Journal of Signal Processing: Image Communication, vol 25, no. 7, 2010, doi:10.1016/j.image.2010.02.002, March 2010, pp. 482-501.

73. Serkan Kiranyaz, Turker Ince, Alper Yildirim and Moncef Gabbouj, “Fractional Particle Swarm Optimization in Multi-Dimensional Search Space,” IEEE Transactions on Systems, Man, and Cybernetics: Part B, vol. 40, no. 2, April 2010, pp. 298-319, DOI: 10.1109/TSMCB.2009.2015054.

74. Turker Ince, Serkan Kiranyaz, Jenni Pulkkinen, and Moncef Gabbouj, “Evaluation of global and local training techniques over feed-forward neural network architecture spaces for computer-aided medical diagnosis,” Expert Systems with Applications, Article ID 4730, doi:10.1016/j.eswa.2010.05.033, 2010.

75. Lukasz Kondrad, Vinod Kumar Malamal Vadakital, Imed Bouazizi, Miika Tupala and Moncef Gabbouj, "Cross Layer Optimization of DVB-T2 System for Mobile Services," International Journal of Digital Multimedia Broadcasting, Special Issue on IP and Broadcasting Systems Convergence, Volume 2010 (2010), Article ID 435405, doi:10.1155/2010/435405.

76. Serkan Kiranyaz, Turker Ince, and Moncef Gabbouj, “Stochastic Approximation Driven Particle Swarm Optimization with Simultaneous Perturbation (Who will guide the guide?)”, Applied Soft Computing Journal 11 (2011), pp. 2334-2347, DOI: 10.1016/j.asoc.2010.07.022.

77. Iftikhar Ahmad and Moncef Gabbouj, “A Generic Content-Based Image Retrieval Framework for Mobile Devices,” Multimedia Tools and Applications, Volume 55, Issue 3 (2011), pp. 423-442, DOI 10.1007/s11042-010-0556-5.

78. Serkan Kiranyaz, Jenni Pulkkinen, and Moncef Gabbouj, “Multi-dimensional Particle Swarm Optimization in Dynamic Environments,” Expert Systems with Applications, 10.1016/j.eswa.2010.08.009, vol. 38, pp. 2212–2223, 2011.

79. Serkan Kiranyaz, Turker Ince, Jenni Pulkkinen and Moncef Gabbouj, "Personalized long-term ECG classification: A systematic approach," Expert Systems with Applications, vol. 38, 2011, pp. 3220–3226, doi:10.1016/j.eswa.2010.09.010.

80. Cixun Zhang, Kemal Ugur, Jani Lainema, Antti Hallapuro and Moncef Gabbouj, “Video Coding Using Spatially Varying Transform,” IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, Issue. 2, pp. 127-140, Feb 2011.

81. Vinod Kumar Malamal Vadakital and Moncef Gabbouj, “Prediction and transmission optimization of video guaranteeing a bounded zapping-delay in DVB-H,” IEEE Trans. Broadcasting, vol. 57, no. 2, pp. 231–245, 2011.

82. Victor Popa, Jani Nurminen and Moncef Gabbouj, “A Study of Bilinear Models in Voice Conversion,” Journal of Signal and Information Processing, Vol.2, No.2, 2011, pp. 125-139.

83. Serkan Kiranyaz, Turker Ince, Jenni Pulkkinen, Moncef Gabbouj, J. Arje, Salme Karkkainen, Ville Tirronen, Martti Juhola, T. Turpeinen and Kristian Meissner, "Classification and retrieval on macroinvertebrate image databases," Computers in Biology and Medicine, vol. 41, no. 7, pp. 463-472, 2011.

84. Elina Helander, Hanna Silén, Tuomas Virtanen, and Moncef Gabbouj, "Voice Conversion Using Dynamic Kernel Partial Least Squares Regression," IEEE Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/TASL.2011.2165944, Vol. 20, No. 3, March 2012, pp. 806-817.

85. Lukasz Kondrad, Imed Bouazizi and Moncef Gabbouj, "LDPC FEC code extension for unequal error protection in DVB-T2 system: design and evaluation," International Journal of Digital Multimedia Broadcasting, vol. 2012, Article ID 834924, 11 pages, 2012. doi:10.1155/2012/834924.

86. Jin Li, Moncef Gabbouj, and Jarmo Takala, “Zero-Quantized Inter DCT Coefficient Prediction for Real-Time Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, Volume: 22, Issue: 2, Digital Object Identifier: 10.1109/TCSVT.2011.2160749, 2012, Page(s): 249 – 259.

87. Turker Ince, Serkan Kiranyaz, and Moncef Gabbouj, “Evolutionary RBF Classifier for Polarimetric SAR Images,” Expert Systems with Applications, Vol. 39, pp. 4710 – 4717, April 2012.

88. Chenghao Liu, Imed Bouazizi, Miska M. Hannuksela, and Moncef Gabbouj, "Rate adaptation for dynamic adaptive streaming over HTTP in content distribution network," Signal Processing: Image Communications, vol. 27, no. 4, April 2012, DOI:10.1016/j.image.2011.10.001, pp. 288-311.

89. Francesco Cricri, Kostadin Dabov, Mikko Roininen, Sujeet Mate, Igor Curcio and Moncef Gabbouj, "Multimodal Semantics Extraction from User Generated Videos," Advances in Multimedia, vol. 2012, Article ID 292064, 17 pages, 2012, doi:10.1155/2012/292064.

90. Francesco Cricri, Kostadin Dabov, Igor Curcio, Sujeet Mate and Moncef Gabbouj, "Multimodal Extraction of Events and Information about the Recording Activity in User Generated Mobile Videos," Multimedia Tools and Applications, 2012, 10.1007/s11042-012-1085-1.

91. Serkan Kiranyaz, Toni Mäkinen and Moncef Gabbouj, "Dynamic and Scalable Audio Classification by Collective Network of Binary Classifiers Framework: An Evolutionary Approach," Neural Networks, 34 (2012), doi:10.1016/j.neunet.2012.07.003, pp. 80-95.

92. Serkan Kiranyaz, Turker Ince, Stefan Uhlmann and Moncef Gabbouj, "Collective Network of Binary Classifier Framework for Polarimetric SAR Image Classification: An Evolutionary Approach," IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, Vol. 42, No. 4, August 2012, pp. 1169-1186.

93. Toni Mäkinen, Serkan Kiranyaz, Jenni Raitoharju, and Moncef Gabbouj, "An evolutionary feature synthesis approach for content-based audio retrieval," EURASIP Journal on Audio, Speech, and Music Processing, Springer, 2012, 2012:23, DOI: 10.1186/1687-4722-2012-23.

94. Yan Zhao, Hexin Chen, Shigang Wang, Moncef Gabbouj, "An improved method of detecting edge direction for spatial error concealment," Journal of Multimedia, vol. 7, no. 3, 2012, pp. 262-268.

95. Xiaoni Li, Hexin Chen, Mian Shu Chen, Moncef Gabbouj, "Audio-video synchronous coding based on motion estimation in H.264," Jilin Daxue Xuebao, 2012, vol. 42, no. 5, pp. 1321-1326.

96. Payman Aflaki, Miska M. Hannuksela, Dmytro Rusanovskyy and Moncef Gabbouj, "Nonlinear Depth Map Resampling for Depth-Enhanced 3D Video Coding," IEEE Signal Processing Letters, vol. 20, no. 1, pp. 87-90, January 2013.

97. Esin Guldogan, Thomas Olsson, Else Lagerstam and Moncef Gabbouj, "Instance Based Personalized Multi-form Image Browsing and Retrieval," Multimedia Tools and Applications, DOI 10.1007/s11042-012-1249-z, Springer 2012.

98. Chenghao Liu, Miska M. Hannuksela, and Moncef Gabbouj, “Client-driven joint cache management and rate adaptation for dynamic adaptive streaming over HTTP,” International Journal of Digital Multimedia Broadcasting, vol. 2013, Article ID 471683, 16 pages, 2013. DOI:10.1155/2013/471683.

99. Payman Aflaki, Miska M. Hannuksela, and Moncef Gabbouj, "Subjective quality assessment of asymmetric stereoscopic 3D video," Springer Journal of Signal, Image and Video Processing, DOI 10/1007/s11760-013-0439-0, 2013.

100. Je-Wong Kang, Moncef Gabbouj and C.-C. Jay Kuo, "Sparse/DCT (S/DCT) two-layered representation of prediction residuals for video coding," IEEE Transactions on Image Processing, vol. 22, no. 7, July 2013, pp. 2711-2722.

101. Miska M. Hannuksela, Dmytro Rusanovskyy, Wenyi Su, Lulu Chen, Ri Li, Payman Aflaki, Deyan Lan, Michal Joachimiak, Houqiang Li and Moncef Gabbouj, "Multiview-video-plus-depth coding based on the advanced video coding standard," IEEE Transactions on Image Processing, vol. 22, no. 9, September 2013.

102. Evgeny Belyaev, Karen Egiazarian and Moncef Gabbouj, "A low-complexity bit-plane entropy coding and rate control for 3-D DWT based video coding," IEEE Transactions on Multimedia, vol. 15, no. 8, pp. 1786-1799, 2013.

103. Evgeny Belyaev, Andrey Turlikov, Karen Egiazarian and Moncef Gabbouj, "An efficient adaptive binary arithmetic coder with low memory requirement," IEEE Journal of Selected Topics in Signal Processing, DOI 10.1109/JSTSP.2013.2269272, vol.7, no.6, pp. 1053-1061, 2013.

104. E. Belyaev, K. Egiazarian, M. Gabbouj and K. Liu, “A Low-Complexity joint source-channel video coding for 3-D DWT codec,” Journal of Communications, vol. 8, no. 12, December 2013.

105. Tiecheng Song, Fanman Meng, Qingbo Wu, Bing Luo, Bing Zeng and Moncef Gabbouj, "Noise-Robust Texture Description Using Local Contrast Patterns via Global Measures," IEEE Signal Processing Letters, 2013, vol. 21, no. 1, January 2014, pp. 93-96.

106. Francesco Cricri, Mikko Roininen, J. Leppänen, Sujeet Mate, Igor D.D. Curcio, Moncef Gabbouj, “Sport Type Classification of Mobile Videos,” IEEE Transactions on Multimedia, vol. 16, no. 4, June 2014, pp. 917-932.

107. Henry Joutsijoki, Kristian Meissner, Moncef Gabbouj, Serkan Kiranyaz, Jenni Raitoharju, Johanna Arje, Salme Karkkainen, Ville Tirronen, Tuomas Turpeinen, and Martti Juhola, “Evaluating the performance of artificial neural networks for the classification of freshwater benthic macroinveertebrates,” Ecological Informatics, no. 20, 2014, pp. 1-12.

108. Bing Zeng, Siu-Kei Au Yeung, Shuyuan Zhu and Moncef Gabbouj, "Perceptual Encryption of H.264 Videos: Embedding Sign-Flips into the Integer-based Transforms," IEEE Transactions on Information Forensics & Security, vol. 9, no. 2, February 2014, pp. 309-320.

109. Payman Aflaki, Miska M Hannuksela, Hamed Sarbolandi, Moncef Gabbouj, "Simultaneous 2D and 3D perception for stereoscopic displays based on polarized or active shutter glasses," Journal of Visual Communication and Image Representation, vol. 25, no. 4, May 2014, pp. 622-631.

110. Stefan Uhlmann, Serkan Kiranyaz and Moncef Gabbouj, "Semi-supervised Learning for Ill-posed Polarimetric SAR Classification," Remote Sensing, vol. 6, no. 6, 2014, pp. 4801-4830, DOI:10.3390/rs6064801.

111. Alireza Aminlou, Jani Lainema, Kemal Ugur, Miska M. Hannuksela and Moncef Gabbouj, “Differential Coding Using Enhanced Inter-Layer Reference Picture for the Scalable Extension of H.265/HEVC Video Codec,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 11, November 2014, pp. 1945-1955.

112. T. Efimushkina, M. Gabbouj, K. Samuylov, “Analytical model in discrete time for cross-layer video communication over LTE,” Automatic Control and Computer Sciences, vol. 48, no. 6, 2015, pp. 345-357.

113. Evgeny Belyaev, Alexey Vinel, Adam Surak, and Moncef Gabbouj, Magnus Jonsson and Karen Egiazarian, “Robust vehicle-to-infrastructure video transmission for road surveillance applications,” IEEE Transactions on Vehicular Technology, vol. 64, no. 7, July 2015, pp. 2991 - 3003, DOI: 10.1109/TVT.2014.2354376.

114. Kaveh Samiee, Peter Kovacs and Moncef Gabbouj, “Epileptic Seizure Classification of EEG time-series using Rational Discrete Short Time Fourier Transform,” IEEE Transaction on Biomedical Engineering, vol. 62, no. 2, February 2015, pp. 541-552.

115. Evgeny Belyaev, Kai Liu, Moncef Gabbouj and YunSong Li, "An efficient adaptive binary range coder and its VLSI architecture," IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 8, 2015, pp. 1435 - 1446, DOI: 10.1109/TCSVT.2014.2372291.

116. Alexandros Iosifidis and Moncef Gabbouj, “On the kernel Extreme Learning Machine speedup,” Pattern Recognition Letters, vol.68, no. P1, pp.205-210, December 2015, DOI 10.1016/j.patrec.2015.09.015.

117. F. Meng, H. Li, S. Zhu, B. Luo, C. Huang, B. Zeng, and M. Gabbouj, “Constrained Directed Graph Clustering and Segmentation Propagation for Multiple Foregrounds Co-segmentation,” IEEE Transactions on Circuits and Systems for Video Technology, 2015, DOI: 10.1109/TCSVT.2015.2402891.

118. R.M. Garimella, M. Gabbouj, and I. Ahmad, “Image Retrieval: Information and Rough Set Theories,” Procedia Computer Science. 54, p. 631-637, 2015.

119. Morteza Zabihi, Serkan Kiranyaz, Ali Rad Bahrami, Aggelos K. Katsaggelos, Moncef Gabbouj and Turker Ince, “Analysis of high-dimensional phase space via Poincaré section for patient-specific seizure detection,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 24, no. 3, Nov. 2016, pp. 386-398.

120. Jimin Xiao, M.M. Hannuksela, T. Tillo, M. Gabbouj, Ce Zhu; Yao Zhao, “Scalable Bit Allocation Between Texture and Depth Views for 3-D Video Streaming Over Heterogeneous Networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 1, pp. 139 - 152, DOI: 10.1109/TCSVT.2014.2334011, 2015.

121. K. Samiee, S. Kiranyaz, M. Gabbouj, and T. Saramäki, “Long-term epileptic EEG classification via 2D mapping and textural features,” Expert Systems with Applications, vol. 42, no. 20, 2015, p. 7175-7185, DOI 10.1016/j.eswa.2015.05.002.

122. Jenni Raitoharju, Serkan Kiranyaz and Moncef Gabbouj, “Training Radial Basis Function Neural Networks for Classiﬁcation via Class-speciﬁc Clustering," IEEE Transactions on Neural Networks and Learning Systems, vol 27, no. 12, pp. 2458 – 2471, 2016.

123. Michal Joachimiak, Miska M. Hannuksela, Moncef Gabbouj, “View upsampling optimization for mixed resolution 3D video coding,” Multidimensional Systems and Signal Processing, DOI 10.1007/s11045-015-0332-9, vol. 27, no. 3, July 2016, pp. 763-783. https://rdcu.be/6oJj

124. A. Aminlou, M. Hashemi, M. Gabbouj, B. Zeng, O. Fatemi, “A New R-D Optimization Criterion for Fast Mode Decision Algorithms in Video Coding and Transrating,” IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2015.2412811, vol. 26, no. 4, April 2016, pp. 696-710.

125. Alexandros Iosifidis and Moncef Gabbouj, “Nyström-based approximate kernel subspace learning,” Pattern Recognition, vol. 57, no. C, September 2016, pp. 190-197.

126. Serkan Kiranyaz, Turker Ince, and Moncef Gabbouj, “Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks,” IEEE Transactions on Biomedical Engineering, DOI: 10.1109/TBME.2015.2468589, vol. 63, no. 3, pp. 664 – 675, 2016.

127. Mikko Roininen, J. Leppanen, A. Eronen, Igor Curcio and Moncef Gabbouj, “Modeling the Timing of Cuts in Automatic Editing of Concert Videos,” Multimedia Tools and Applications, DOI 10.1007/s11042-016-3304-7, pp. 1-25, 20 February 2016.

128. Ezgi Ozan Can, Serkan Kiranyaz and Moncef Gabbouj, “K-Subspaces Quantization for Approximate Nearest Neighbor Search," IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 7, 1 July 2016, pp. 1722 - 1733.

129. Alexandros Iosifidis and Moncef Gabbouj, “Multi-class Support Vector Machine Classifiers using Intrinsic and Penalty Graphs," Pattern Recognition, vol. 55, July 2016, pp. 231-246.

130. Caglar Aytekin, Serkan Kiranyaz, Alexandros Iosifidis and Moncef Gabbouj, “Recent Advances in Salient Object Detection - Towards Object Recognition in Big Media Data,” Futura -- Big Data, vol. 35, no. 2, pp. 80-92, 2016.

131. Caglar Aytekin, Serkan Kiranyaz and Moncef Gabbouj, “Learning to rank salient segments extracted by multispectral Quantum Cuts,” Pattern Recognition Letters, vol. 72, March 2016, pp. 91-99.

132. Xiaoni Li, Mianshu Chen, Zhowei Qu, Jimin Xiao and Moncef Gabbouj, “An effective CU size decision method for quality scalability in SHVC,” Multimedia Tools and Applications, DOI 10.1007/s11042-016-3460-9, 2016.

133. Serkan Kiranyaz, Turker Ince, Levent Eren, Murat Askar and Moncef Gabbouj, “Real-Time Motor Fault Detection by 1D Convolutional Neural Networks,” IEEE Transaction on Industrial Electronics, vol. 63, no. 11, 2016, pp. 7067 – 7075, DOI: 10.1109/TIE.2016.2582729.

134. Alexandros Iosifidis and Moncef Gabbouj, “Scaling up Class-Specific Kernel Discriminant Analysis for large-scale Face Verification,” IEEE Transactions on Information Forensics & Security, vol. 11, no. 11, pp. 2453 – 2465, 2016.

135. Ezgi Can Ozan, Serkan Kiranyaz, Moncef Gabbouj, “Competitive Quantization for Approximate Nearest Neighbor Search,” IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 11, 2016, pp. pp. 2884 – 2894.

136. Ronald K. Pearson, Yrjö Neuvo, Jaakko Astola and Moncef Gabbouj, “Generalized Hampel Filters,” Eurasip Journal on Advances in Signal Processing, 2016, DOI: 10.1186/s13634-016-0383-6, 1 Dec. 2016.

137. Zhu, S., Zeng, B., Zeng, L. and Moncef Gabbouj, “Image interpolation based on non-local geometric similarities and directional gradients,” IEEE Transactions on Multimedia, vol. 18, no. 9, 1 Sep 2016, p. 1707-1719.

138. Heng Guo, Shuaicheng Liu, Tong He, Shuyuan Zhu, Bing Zeng and Moncef Gabbouj, “Joint Video Stitching and Stabilization from Moving Cameras," IEEE Transactions on Image Processing, DOI: 10.1109/TIP.2016.2607419, vol. 25, no. 11, pp. 5491 - 5503, 2016.

139. Honglei Zhang, Jenni Raitoharju, Serkan Kiranyaz and Moncef Gabbouj, “Limited random walk algorithm for big graph data clustering,” Journal of Big Data, DOI: 10.1186/s40537-016-0060-5, 1 December 2016. http://rdcu.be/z66u.

140. Honglei Zhang, Serkan Kiranyaz and Moncef Gabbouj, “Outlier edge detection using random graph generation models and applications,” Journal of Big Data, vol. 4, no. 11, Dec. 2017, doi.org/10.1186/s40537-017-0073-8

141. Caglar Aytekin, Ezgi Ozan Can, Serkan Kiranyaz and Moncef Gabbouj, “Extended Quantum Cuts for Unsupervised Salient Object Extraction," Multimedia Tools and Applications, vol. 76, no. 8, April 2017, pp 10443–10463, DOI: 10.1007/s11042-016-3431-1.

142. Alexandros Iosifidis and Moncef Gabbouj, “Class-Specific Kernel Discriminant Analysis revisited: further analysis and extensions,” IEEE Transactions on Cybernetics, vol. 47, no. 12, December 2017, DOI 10.1109/TCYB.2016.2612479, pp. 4485-4496.

143. Osama Abdeljaber, Onur Avci, Serkan Kiranyaz, Moncef Gabbouj, Daniel J. Inman, Real-Time Vibration-Based Structural Damage Detection Using One-Dimensional Convolutional Neural Networks," Journal of Sound and Vibration, vol. 388, pp. 154-170, Feb 3 2017, DOI 10.1016/j.jsv.2016.10.043.

144. Caglar Aytekin, Alexandros Iosifidis, Serkan Kiranyaz and Moncef Gabbouj, “Learning Graph Affinities for Spectral-based Salient Object Detection,” Pattern Recognition, vol. 64, April 2017, pp. 159–167.

145. Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis and Moncef Gabbouj, “Progressive Operational Perceptrons,” Neurocomputing, Volume 224, 8 February 2017, Pages 142–154. https://www.sciencedirect.com/science/article/pii/S0925231216312851?via%3Dihub

146. Shuaicheng Liu, Binhan Xu, Chuang Den, Shuyuan Zhu, Bing Zeng and Moncef Gabbouj, “A Hybrid Approach for Near-Range Video Stabilization,” IEEE Transaction on Circuits and Systems for Video Technology, vol. 27, no. 9, pp. 1922 – 1933, 2017.

147. Johanna Ärje, Salme Kärkkäinen, Kristian Meissner, Alexandros Iosifidis, Türker Ince, Moncef Gabbouj and Serkan Kiranyaz, “The eﬀect of automated taxa identiﬁcation errors on biological indices,” Expert Systems With Applications, vol. 72, 2017, pp. 108-120, DOI:10.1016/j.eswa.2016.12.015 (https://doi.org/10.1016/j.eswa.2016.12.015)

148. Jenni Raitoharju, Kaveh Samiee, Serkan Kiranyaz and Moncef Gabbouj, “Particle swarm clustering fitness evaluation with computational centroids,” Swarm and Evolutionary Computation, http://doi.org/10.1016/j.swevo.2017.01.003, February 2017.

149. Pouria Babahajiani, Lixin Fan, Joni-Kristian Kamarainen, and Moncef Gabbouj,” Urban 3D Segmentation and Modelling from Street View Images and LiDAR Point Clouds,” Machine Vision and Applications, DOI 10.1007/s00138-017-0845-3, 2017. [PDF]

150. Maryam Homayouni, Payman Aflaki, Miska M. Hannuksela, Moncef Gabbouj, “Row-Interleaved Sampling for Depth Enhanced 3D Video Coding for Polarized Displays,” ACM Transactions on Applied Perception, vol. 14, no. 3, March 2017, DOI 10.1145/3047409.

151. Chen Chen, Shuyuan Zhu, Bing Zeng and Moncef Gabbouj, “A New Block-Based Method for HEVC Intra Coding,” IEEE Transaction on Circuits and Systems for Video Technology, vol. 27, no. 8, 2017, pp. 1727 – 1736.

152. Kaveh Samiee, Alexandros Iosifidis and Moncef Gabbouj, “On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks,” Expert Systems With Applications, online: 28 April 2017, DOI: 10.1016/j.eswa.2017.04.025.

153. Guanqun Cao, Alexandros Iosifidis and Moncef Gabbouj, “Multi-view Nonparametric Discriminant Analysis for Image Retrieval and Recognition,” Signal Processing Letters, vol. 24, no. 10, pp. 1537 – 1541, 2017.

154. Serkan Kiranyaz, Turker Ince and Moncef Gabbouj, “Personalized Monitoring and Advance Warning System for Cardiac Arrhythmias,” Scientific Reports, vol. 7, no. 9270, 24 August 2017, DOI 10.1038/s41598-017-09544-z (SREP-16-52549-T) (rdcu.be/vfYE).

155. Muhammad Adeel Waris, Alexandros Iosifidis, and Moncef Gabbouj, "CNN-based Edge Filtering for Object Proposals," Neurocomputing, vol. 266, 2017, pp. 631-640, DOI: 10.1016/j.neucom.2017.05.071

156. Dat Thanh Tran; Moncef Gabbouj, Alexandros Iosifidis, “Multilinear Class-Specific Discriminant Analysis Pattern Recognition Letters, v. 100, n. C, pp. 131-136, December 2017.

157. Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, “Neural class-specific regression for face verification,” IET Biometrics, IET Biometrics, September 2017, DOI: 10.1049/iet-bmt.2017.0081.

158. Guanqun Cao, Alexandros Iosifidis, Ken Chen, and Moncef Gabbouj “Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval,” IEEE Transactions on Cybernetics, vol. 48, no. 9, 2018, pp. 2542-2555, DOI: 10.1109/TCYB.2017.2742705.

159. Caglar Aytekin, Horst Possegger, Thomas Mauthner, Serkan Kiranyaz, Horst Bischof, and Moncef Gabbouj, “Spatiotemporal Saliency Estimation by Spectral Foreground Detection,” IEEE Transactions on Multimedia, vol. 20, no. 1, pp. 82-95, DOI 10.1109/TMM.2017.2713982, Jan 2018.

160. Osama Abdeljaber, Sadok Sassi, Onur Avci, Serkan Kiranyaz, Abdelrahman Ibrahim and Moncef Gabbouj, “Fault detection and severity identification of ball bearings by online condition monitoring,” IEEE Transactions on Industrial Electronics 66 (10), 8136-8147, 2018.

161. Caglar Aytekin, Jarno Nikkanen and Moncef Gabbouj, “A Dataset for Camera Independent Color Constancy," IEEE Transactions on Image Processing, vol. 27, no. 2, pp. 530-544, February 2018, DOI 10.1109/TIP.2017.2764264.

162. Serkan Kiranyaz, Adel Gastli, Lazhar Ben Brahim, Nasser Ahmed Al-Emadi and Moncef Gabbouj, “Real-Time Fault Detection and Identification for MMC using 1D Convolutional Neural Networks,” IEEE Transactions on Industrial Electronics, vol 66, no. 11, 2019, pp. 8760-8771.

163. Jenni Raitoharju, Ekaterina Riabchenkoa, Iftikhar Ahmad, Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, Ville Tirronen, Johanna Ärje, Salme Kaärkkäinen, and Kristian Meissner, ”Benchmark Database for Fine-Grained Image Classification of Benthic Macroinvertebrates,” Image and Vision Computing, vol. 78, October 2018, pp. 73-83, https://doi.org/10.1016/j.imavis.2018.06.005

164. Adamantios Ntakaris, Martin Magris, Juho Kanniainen, Moncef Gabbouj, and Alexandros Iosifidis, ”Benchmark dataset for mid‐price forecasting of limit order book data with machine learning methods,” Journal of Forecasting, 22 August 2018, pp. 1-15, https://doi.org/10.1002/for.2543.

165. Jenni Raitoharju, Serkan Kiranyaz, Moncef Gabbouj, “Feature synthesis for image classification and retrieval via one-against-all perceptrons,” Neural Computing and Applications, (2018) 29: 943. https://doi.org/10.1007/s00521-016-2504-4.

166. Ramin Ghaznavi-Youvalari, Alireza Zare, Alireza Aminlou, Miska Hannuksela and Moncef Gabbouj, “Shared Coded Picture Technique for Tile-based Viewport-adaptive Streaming of Omnidirectional Video,” IEEE Transaction on Circuits and Systems for Video Technology, Oct. 2019, Vol. 29, Issue 10, pp. 3106-3120, DOI: 10.1109/TCSVT.2018.2874179.

167. Caglar Aytekin, Alexandros Iosifidis, and Moncef Gabbouj, “Probabilistic saliency estimation,” Pattern Recognition, vol. 74, no. C, February 2018, 359-372. DOI: https://doi.org/10.1016/j.patcog.2017.09.023

168. Dat Tran, Alexandros Iosifidis & Moncef Gabbouj, “Improving efficiency in convolutional neural networks with multilinear filters,” Neural Networks. 2018, 105, p. 328-339.

169. Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, and Moncef Gabbouj, “Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis," IEEE Transactions on Neural Networks and Learning Systems, DOI 10.1109/TETCI.2018.2872598, 2018.

170. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen and Moncef Gabbouj, “Temporal Bag-of-Features Learning for Predicting Mid Price Movements using High Frequency Limit Order Book Data,” IEEE Transactions on Emerging Topics in Computational Intelligence, 9 October 2018.

171. Kang Liao ; Chunyu Lin ; Yao Zhao ; Moncef Gabbouj ”DR-GAN: Automatic Radial Distortion Rectification Using Conditional GAN in Real-Time,” IEEE Transactions on Circuits and Systems for Video Technology ( Early Access, 7 Feb. 2019), vol. 30, no. 3, DOI: 10.1109/TCSVT.2019.2897984, March 2020.

172. Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, and Alexandros Iosifidis, “Using Deep Learning for price prediction by exploiting stationary limit order book features,” Applied Soft Computing, no. 93, vol. 106401, Aug 2020, https://doi.org/10.1016/j.asoc.2020.106401.

173. Ymir Mäkinen, Juho Kanniainen, Moncef Gabbouj, and Alexandros Iosifidis, “Forecasting of Jump Arrivals in Stock Prices: New Attention-based Network Architecture using Limit Order Book Data,” Quantitative Finance, Quantitative Finance, Vol. 19, No. 12, 2019, p. 2033-2050.

174. Morteza Zabihi, Serkan Kiranyaz, Ville Jäntti, Tarmo Lipping, and Moncef Gabbouj, “Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines,” IEEE Journal of Biomedical and Health Informatics, March 2019, doi: 10.1109/JBHI.2019.2906400.

175. Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis, “PyGOP: A Python Library for Generalized Operational Perceptron Algorithms,” Knowledge-Based Systems, doi.org/10.1016/j.knosys.2019.06.009, October 2019.

176. Muhammad Asif Khan, Ridha Hamila, Serkan Kiranyaz and Moncef Gabbouj, “A Novel UAV-Aided Network Architecture Using Wi-Fi Direct,” IEEE Access, 10 May 2019, 10 May 2019, DOI: 10.1109/ACCESS.2019.2916041.

177. Adamantios Ntakaris, G. Mirone, Juho Kanniainen, Moncef Gabbouj, and Alexandros Iosifidis, ”Feature engineering for mid‐price prediction with deep learning,” IEEE Access, vol. 7, pp. 82390-82412, 2019.

178. Alireza Zare, Maryam Homayouni, Alireza Aminlou, Miska H. Hannuksela and Moncef Gabbouj, “6K and 8K Effective Resolution with 4K HEVC Decoding Capability for 360° Video Streaming,” ACM Transactions on Multimedia Computing, Communications, and Applications, Volume 15 Issue 2s, August 2019, doi 10.1145/3335053.

179. Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis, “Machine Learning for Forecasting Mid-Price Movement using Limit Order Book Data,” IEEE Access, DOI: 10.1109/ACCESS.2019.2916793, 2019.

180. Ymir Mäkinen, Juho Kanniainen, Moncef Gabbouj & Alexandros Iosifidis, “Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data,” Quantitative Finance, July 2019, doi.org/10.1080/14697688.2019.1634277.

181. Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj. “Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks,” Remote Sensing, vol. 11, no. 1340, DOI:10.3390/rs11111340, June 2019.

182. Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala, Deep Multi-view Learning to Rank, IEEE Trans. on Knowledge and Data Engineering, 20 Sept. 2019.

183. D.T. Tran, S. Kiranyaz, M. Gabbouj and A. Iosifidis, “Progressive Operational Perceptron with Memory,” Neurocomputing, Vol. 379, February 2020, pp. 172-181.

184. S. Kiranyaz, T. Ince, A. Iosifidis and M. Gabbouj, “Operational Neural Networks”, Neural Computing and Applications, Mar. 2020. DOI: https://doi.org/10.1007/s00521-020-04780-3, pp. 1-24.

185. Muhammad Asif Khan, Ridha Hamila, Nasser Ahmed Al-Emadi, Serkan Kiranyaz, and Moncef Gabbouj, “Real-time Throughput Prediction for Cognitive Wi-Fi Networks,” Journal of Network and Computer Applications, vol. 150, 15 January 2020, https://doi.org/10.1016/j.jnca.2019.102499.

186. Kang Liao ; Chunyu Lin ; Yao Zhao ; Moncef Gabbouj “Distortion Rectification from Static to Dynamic: A Distortion Sequence Construction Perspective,” IEEE Transactions on Circuits and Systems for Video Technology, December 2019, DOI: 10.1109/TCSVT.2019.2958199.

187. Kang Liao, Chunyu Lin, Yao Zhao, Moncef Gabbouj, & Yang Zheng, “OIDC-Net: Omnidirectional Image Distortion Correction via Coarse-to-fine Region Attention,” IEEE Journal of Selected Topics in Signal Processing. Paper: J-STSP-PDVP-00096-2019.R1, 22 Nov 2019.

188. Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis and Moncef Gabbouj, “Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity,” Neural Computing and Applications, 13, 2021, pp. 7997–8015.

189. Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, & Anastasios Tefas, “Variance-preserving Deep Metric Learning for Content-based Image Retrieval,” Pattern Recognition Letters, Dec 2019.

190. Dat Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis, “Heterogeneous Multilayer Generalized Operational Perceptron," IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 3, March 2020, DOI: 10.1109/TNNLS.2019.2914082, pp. 710-724.

191. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis, “Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data,” Pattern Recognition Letters, DOI 10.1016/j.patrec.2020.06.006, June 2020.

192. Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, and Moncef Gabbouj, “Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits,” Pattern Recognition, September 2020, DOI: 10.1016/j.patcog.2020.107346.

193. Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas, “Recurrent bag-of-features for visual information analysis,” Pattern Recognition, no. 106, vol. 107380, Oct 2020, https://doi.org/10.1016/j.patcog.2020.107380.

194. Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, and Alexandros Iosifidis, “Multilinear compressive learning,” IEEE Transactions on Neural Networks and Learning Systems, Volume: 32, Issue: 4, April 2021, pp. 1512 – 1524, DOI: 10.1109/TNNLS.2020.2984831.

195. Serkan Kiranyaz, Morteza Zabihi, Ali Bahrami Rad, Turker Ince, Ridha Hamila, Moncef Gabbouj, “Real-time Phonocardiogram Anomaly Detection by Adaptive 1D Convolutional Neural Networks,” Neurocomputing, 19 May 2020, https://doi.org/10.1016/j.neucom.2020.05.063.

196. Serkan Kiranyaz; Onur Avci; Osama Abdeljaber; Turker Ince; Moncef Gabbouj; Daniel Inman, ”1D Convolutional Neural Networks and Applications - A Survey,” Mechanical Systems and Signal Processing, Volume 151, April 2021, 107398, https://doi.org/10.1016/j.ymssp.2020.107398.

197. Johanna Ärje, Jenni Raitoharju, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Serkan Kiranyaz, Salme Kärkkäinen, “Human experts vs. machines in taxa recognition,” Signal Processing: Image Communication, Volume 87, September 2020, 115917, https://doi.org/10.1016/j.image.2020.115917.

198. Adamantios Ntakaris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis, ” Mid-price Prediction Based on Machine Learning Methods with Technical and Quantitative Indicators,” Plos One, June 2020, https://doi.org/10.1371/journal.pone.0234107.

199. Johanna Ärje, Claus Melvad, Mads Rosenhøj Jeppesen, Sigurd Madsen, Jenni Raitoharju, Maria Strandgård Rasmussen, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Toke Thomas Høye, “Automatic image-based identification and biomass estimation of invertebrates,” Methods in Ecology and Evolution, July 2020, https://doi.org/10.1111/2041-210X.13428.

200. Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, and Moncef Gabbouj,” Bag of Color Features For Color Constancy,” IEEE Transactions on Image Processing, Vol. 29, 2020, pp. 7722-7734, DOI: 10.1109/TIP.2020.30049212020.

201. Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, and Moncef Gabbouj, ” Ellipsoidal Subspace Support Vector Data Description,” IEEE Access, Volume 8, DOI: 10.1109/ACCESS.2020.3007123, July 2020, pp. 122013-122025.

202. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj & Alexandros Iosifidis, “Variance-preserving Deep Metric Learning for Content-based Image Retrieval,” IEEE Transactions on Neural Networks and Learning Systems, Sept 2020, Volume: 31, Issue: 9, Page(s): 3760-3765, DOI: 10.1109/TNNLS.2019.2944933.

203. Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj, “Speed-up and Multi-view Extensions to Subclass Discriminant Analysis,” Pattern Recognition, Volume 111, March 2021, 107660, doi: https://doi.org/10.1016/j.patcog.2020.107660.

204. Mehmet Yamac, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bulent Sankur, and Moncef Gabbouj, “Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 1014-1028, 2021.

205. Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, and Moncef Gabbouj, “Multimodal Subspace Support Vector Data Description,” Pattern Recognition, Volume 110, February 2021, 107648 https://doi.org/10.1016/j.patcog.2020.107648.

206. Jorge Peña Queralta, Jussi Taipalmaa, Bilge Can Pullinen, Victor Kathan Sarker, Tuan Nguyen Gia, Hannu Tenhunen, Moncef Gabbouj, Jenni Raitoharju, and Tomi Westerlund, “Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception and Active Vision,” IEEE Access, pp. 191617 – 191643, October 2020.

207. Yupeng Ma, Xiaoyue Jiang, Zhaoqiang Xia, Moncef Gabbouj and Xiaoyi Feng, “CasQNet: Intrinsic Image Decomposition Based on Cascaded Quotient Network,” IEEE Transactions on Circuits and Systems for Video Technology, September 2020, DOI: 10.1109/TCSVT.2020.3024687.

208. Mete Ahishali, Serkan Kiranyaz, Turker Ince, Moncef Gabbouj, “Classification of Polarimetric SAR Images Using Compact Convolutional Neural Networks,” GIScience Remote Sensing, December 2020, https://doi.org/10.1080/15481603.2020.1853948.

209. Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Mohammed Hussein, Moncef Gabbouj, Daniel J. Inman, “A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications, Mechanical Systems and Signal Processing, volume 147, Jan 2021, 107077.

210. Serkan Kiranyaz, Aysen Degerli, Tahir Hamid, Rashid Mazhar, Rayyan El Fadil Ahmed, Rayyan Abouhasera, Morteza Zabihi, Junaid Malik, Ridha Hamila, and Moncef Gabbouj, “Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection,” IEEE Access, November 2020, vol. 8, 210301 – 210317, DOI: 10.1109/ACCESS.2020.3038743.

211. Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj and Alexandros Iosifidis, “Attention-based Neural Bag-of-Features Learning for Sequence Data,” IEEE Access, accepted April 2022.

212. Anton Muravev, Jenni Raitoharju and Moncef Gabbouj, “Neural Architecture Search by Estimation of Network Structure Distributions,” IEEE Access, vol. 9, pp. 15304-15319, 2021, doi: 10.1109/ACCESS.2021.3052996.

213. Junaid Malik, Serkan Kiranyaz, and Moncef Gabbouj, “Self-Organized Operational Neural Networks for Severe Image Restoration Problems,” Neural Networks, Volume 135, March 2021, Pages 201-211.

214. Mehmet Yamac, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Mohamad Chowdhury, Moncef Gabbouj, ”Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images,” IEEE Transactions on Neural Network and Learning Systems, Vol. 32, No. 5, May 2021, pp. 1810-1820, DOI.10.1109/TNNLS.2021.3070467.

215. Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, and Moncef Gabbouj, "INTEL-TAU: A Color Constancy Dataset," IEEE Access, vol. 9, 2021, pp. 39560-39567, DOI: 10.1109/ACCESS.2021.3064382.

216. Aysen Degerli, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad E. H. Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, and Moncef Gabbouj, “Infection Map Generation and Pneumonia Detection from Chest X-Ray Images,” Health Information Science and Systems, Vol. 9, No. 15, 2021, DOI: https://doi.org/10.1007/s13755-021-00146-8.

217. Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis and Moncef Gabbouj, “Self-Organized Operational Neural Networks with Generative Neurons,” Neural Networks, Volume 140, August 2021, Pages 294-308, https://doi.org/10.1016/j.neunet.2021.02.028

218. Lei Xu, Jenni Raitoharju, Alexandros Iosifidis and Moncef Gabbouj, “Saliency-based Multi-label Linear Discriminant Analysis,” IEEE Transactions on Cybernetics, Vol. 52, Issue 10, October 2022, pp. 10200 – 10213 DOI 10.1109/TCYB.2021.3069338.

219. Tuomas Jalonen, Firas Laakom, Moncef Gabbouj, and Tuomas Puoskari, “Visual Product Tracking System Using Siamese Neural Networks,” IEEE Access, vol. 9, pp. 76796-76805, 2021, doi: 10.1109/ACCESS.2021.3082934.

220. A. Degerli, M. Zabihi, S. Kiranyaz, T. Hamid, R. Mazhar, R. Hamila, and M. Gabbouj, "Early Detection of Myocardial Infarction in Low-Quality Echocardiography," in IEEE Access, vol. 9, pp. 34442-34453, 2021, doi: 10.1109/ACCESS.2021.3059595.

221. Dat Thanh Tran, Moncef Gabbouj and Alexandros Iosifidis, “Remote Multilinear Compressive Learning with Adaptive Compression,” IEEE Internet of Things Journal, Volume: 9, Issue: 9, 01 May 2022, DOI 10.1109/JIOT.2021.3114743.

222. K. Chumachenko, A. Iosifidis, and M. Gabbouj. “Feedforward neural networks initialization based on discriminant learning”. In: Neural Networks. Vol. 146. Elsevier, 2022, pp. 220–229.

223. Mohammad Al-Sad, Boualem Boashash, and Moncef Gabbouj, ”Design of an Optimal Piece-Wise Spline Wigner-Ville Distribution for TFD Performance Evaluation and Comparison,” IEEE Transactions on Signal Processing, June 2021, DOI: 10.1109/TSP.2021.3089291.

224. Junaid Malik, Ozer Devecioglu, Serkan Kiranyaz, Turker Ince, and Moncef Gabbouj, “Real-Time Patient-Specific ECG Classification by 1D Self-Operational Neural Networks,” IEEE Transactions on Biomedical Engineering (TBME), vol. 69, no. 5, May 2022.

225. Turker Ince, Junaid Malik, Ozer Can Devecioglu, Serkan Kiranyaz, Onur Avci, Levent Eren, Moncef Gabbouj, “Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks," in IEEE Access, vol. 9, pp. 139260-139270, 2021, doi: 10.1109/ACCESS.2021.3117603.

226. Mete Ahisahli, Aysen Degerli, Mehmet Yamac, Serkan Kiranyaz, Muhammad Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar and Moncef Gabbouj, ”Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images,” IEEE Access, 18 March 2021, DOI 10.1109/ACCESS.2021.3064927.

227. M. U. Zahid, S. Kiranyaz, T. Ince, O. Devecioglu, M. E. H. Chowdhury, A. Khandakar, A. Tahir, M. Gabbouj, “Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network,” IEEE Transactions on Biomedical Engineering, vol. 69, no. 1, pp. 119-128, Jan. 2022, doi: 10.1109/TBME.2021.3088218.

228. Mehmet Yamac, Mete Ahisahli, Serkan Kiranyaz, and Moncef Gabbouj, ’’Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing,” IEEE Transactions on Neural Networks and Learning Systems, July 2021, DOI: 10.1109/TNNLS.2021.3093818.

229. Ozer Can Devecioglu, Junaid Malik, Turker Ince, Serkan Kiranyaz, Eray Atalay, Moncef Gabbouj, “Real-Time Glaucoma Detection from Digital Fundus Images using Self-ONNs,” IEEE Access, vol. 9, 2021, Digital Object Identifier 10.1109/ACCESS.2021.3118102.

230. Cheng Yang, Minping Jia, Zhinong Li, & Moncef Gabbouj, ”Enhanced hierarchical symbolic dynamic entropy and maximum mean and covariance discrepancy-based transfer joint matching with Welsh loss for intelligent cross-domain bearing health monitoring,” Mechanical Systems and Signal Processing, 165, 108343, 2022.

231. Cheng Yang, Minping Jia, Zhinong Li, & Moncef Gabbouj, “Hierarchical Symbol Transition Entropy: A Novel Feature Extractor for Machinery Health Monitoring,” IEEE Transactions on Industrial Informatics, Volume: 18, Issue: 9, September 2022, pp. 6131 – 6141, DOI: 10.1109/TII.2021.3136579.

232. Junaid Malik, Serkan Kiranyaz, Riyadh Al-Raoush, Olivier Monga, Patricia Garnier, Sebti Foufou, Abdelaziz Bouras, Alexandros Iosifidis, Moncef Gabbouj, Philippe Baveye, "3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images," Elsevier Computers and Geosciences journal, Volume 159, 2022, 105017, ISSN 0098-3004, https://doi.org/10.1016/j.cageo.2021.105017.

233. Mohammad Al-Sa’d, Serkan Kiranyaz, Iftikhar Ahmad, Christian Sundell, Matti Vakkuri, Moncef Gabbouj, “A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras,” Sensors, 2022, 22, 418. https:// doi.org/10.3390/s22020418.

234. Serkan Kiranyaz; Ozer Can Devecioglu; Turker Ince; Junaid Malik; Muhammad Enamul Hoque Chowdhury; Tahir Hamid; Rashid Mazhar; Amith Khandakar; Anas Tahir; Tawsifur Rahman; Moncef Gabbouj, “Blind ECG Restoration by Operational Cycle-GANs,” IEEE Transactions on Biomedical Engineering, May 2022, DOI: 10.1109/TBME.2022.3172125.

235. Li Yu, Wenshuai Chang, Weize Quan, Jimin Xiao, Dong-Ming Yan, Moncef Gabbouj, ”Neural texture transfer assisted video coding with adaptive up-sampling,” Signal Processing: Image Communication, Volume 107, September 2022, DOI 10.1016/j.image.2022.116754.

236. M Yamac, U Akpinar, E Sahin, S Kiranyaz, M Gabbouj, “Generalized Tensor Summation Compressive Sensing Network (GTSNET): An Easy to Learn Compressive Sensing Operation,” 2023, IEEE Transactions on Image Processing. 32, p. 5637-5651. DOI 10.1109/TIP.2023.3318946

237. M Ahishali, M Yamac, S Kiranyaz, M Gabbouj, “Representation Based Regression for Object Distance Estimation,” Neural Networks, Volume 158, January 2023, Pages 15-29.

238. Moncef Gabbouj, Serkan Kiranyaz, Junaid Malik, Muhammad Uzair Zahid, Turker Ince, Muhammad Chowdhury, Amith Khandakar, and Anas Tahir, “Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks," IEEE Transactions on Neural Networks and Learning Systems, DOI 10.1109/TNNLS.2022.3158867, March 2022.

239. Feng Zhang, Xiaoyue Jiang, Zhaoqiang Xia, Moncef Gabbouj, Jinye Peng, and Xiaoyi Feng, “Non-Local Color Compensation Network for Intrinsic Image Decomposition,” IEEE Transactions on Circuits and Systems for Video Technology, 10.1109/TCSVT.2022.3199428, 17 August 2022.

240. Muhammad Asif Khan, Ridha Hamila, Aiman Erbad, and Moncef Gabbouj, “Distributed Inference in Resource-Constrained IoT for Real-Time Video Surveillance,” IEEE Systems Journal, DOI: 10.1109/JSYST.2022.3198711, August 2022.

241. Fahad Sohrab, Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju, “Graph-Embedded Subspace Support Vector Data Description,” Pattern Recognition, vol. 133, DOI 10.1016/j.patcog.2022.108999, 2022.

242. Muhammad Uzair; Zahid, Serkan Kiranyaz, Moncef Gabbouj, “Global ECG Classification by Self-Operational Neural Networks with Feature Injection,” IEEE Transactions on Biomedical Engineering, pp. 1-12, July 2022. DOI: 10.1109/TBME.2022.3187874.

243. Li Yu, J. Li, Farhad Pakdaman, M. Ling and Moncef Gabbouj, "MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene Statistics," in IEEE Signal Processing Letters, vol. 30, pp. 588-592, 2023, doi: 10.1109/LSP.2023.3276645.

244. Serkan Kiranyaz, Junaid Malik, Mehmet Yamac, Mert Duman, Ilke Adalioglu, Esin Guldogan, Turker Ince, and Moncef Gabbouj, "Super Neurons," IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8, no. 1, pp. 206-228, Feb. 2024, doi: 10.1109/TETCI.2023.3314658.

245. Aysen Degerly, Serkan Kiranyaz and Moncef Gabbouj, “Early Myocardial Infarction Detection over Multi-view Echocardiography," Biomedical Signal Processing and Control, Volume 87, Part B, January 2024, 105448.

246. Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Tahir Hamid, Rashid Mazhar, Moncef Gabbouj, “R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 Classification,” Pattern Recognition, vol. 156be, 2024.

247. Y. Xue, C. Zhang, F. Neri, M. Gabbouj, Y. Zhang, “An external attention-based feature ranker for feature selection”, Knowledge-Based Systems, Elsevier, Volume 281, 3 December 2023, 111084.

248. Alexander Ulrichsen, Paul Murray, Stephen Marshall, Moncef Gabbouj, Serkan Kiranyaz, Mehmet Yamac, Nour Aburaed, “Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-Resolution,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 1470-1484, 2024.

249. H. H. Al-Khshali, M. Ilyas, F., Sohrab, & M. Gabbouj, “Malware Detection With Subspace Learning-Based One-Class Classification,” IEEE Access. 12, p. 81017-81029, 2024.

250. Cheng Yang and Moncef Gabbouj, “Multichannel Fault Diagnosis of Planetary Gearbox Via Difference-Average Symbol Transition Entropy and Twin Support Higher-Order Tensor Machine,” IEEE Transactions on Instrumentation & Measurement, vol. 73, 2024, 10.1109/TIM.2023.3348892.

251. Serkan Kiranyaz, Ozer Can Devecioglu, Amir Alhams, Sadok Sassi, Turker Ince, Osama Abdeljaber, Onur Avci, Moncef Gabbouj, “Zero-shot motor health monitoring by blind domain transition,” Mechanical Systems and Signal Processing, Volume 210, 2024, 111147, doi.org/10.1016/j.ymssp.2024.111147.

252. Firas Laakom, Jenni Raitoharju, Alexandros. Iosifidis, and Moncef Gabbouj, “Reducing redundancy in the bottleneck representation of autoencoders,” Pattern Recognition Letters, no. 178, pp. 202-208, Feb 2024.

253. Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, & Moncef Gabbouj, “Operational Support Estimator Networks,“ IEEE Transactions on Pattern Analysis and Machine Intelligence, May 2024.

254. Jussi Taipalmaa, Jorge Pena Queralta, Tomi Westerlund, Moncef Gabbouj and Jenni Raitoharju, “On automatic person-in-water detection for marine search and rescue operations,” IEEE Access, vol. 12, 2024, 10.1109/ACCESS.2024.3386640.

255. Serkan Kiranyaz , Ozer Can Devecioglu , Amir Alhams , Sadok Sassi , Turker Ince , Onur Avci, Moncef Gabbouj, “Exploring Sound vs Vibration for Robust Fault Detection on Rotating Machinery,” IEEE Sensors Journal, 10.1109/JSEN.2024.3405889, 2024.

256. Li Yu, S. Wu, & M. Gabbouj, “Multi-Swin Transformer Based Spatio-Temporal Information Exploration for Compressed Video Quality Enhancement,” IEEE Signal Processing Letters, vol. 31, 2024, pp. 1880-1884.

257. Farhad Pakdaman, & Moncef Gabbouj, “Channel-wise Feature Decorrelation for Enhanced Learned Image Compression,” IEEE Signal Processing Letters, vol. 31, pp. 1635-1639, 2024.

258. Sanaz Nami, Farhad Pakdaman, M.R. Hashemi, S. Shirmohammadi, and Moncef Gabbouj, “Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames,” IEEE Transactions on Circuits and Systems for Video Technology, DOI 10.1109/TCSVT.2024.3389988, 2024.

259. Li Yu, W. Chang, S. Wu and Moncef Gabbouj "End-to-end Transformer for Compressed Video Quality Enhancement," IEEE Transactions on Broadcasting, vol. 70, no. 1, March 2024, pp. 197-207, DOI: 10.1109/TBC.2023.3332015.

B. Patents and invention disclosures

260. Y. Neuvo, M. Gabbouj, K. Kalliojärvi, J. Kontro, O. Vainio, “Method and apparatus for converting an analog signal to a digital floating-point number to an analog signal,” European Patent no. EP0626763B1, 1999-10-13; also “Verfahren und Vorrichtung zur Umsetzung eines analogen Signal in einer Gleitkommazahl und einer Gleitkommazahl in einem analogen Signal,” German Patent, DE69421114T2, 2000-01-20, and “Menetelmä ja laite analogiasignaalin muuntamiseksi digitaaliseksi liukuluvuksi ja digitaalisen liukuluvun muuntamiseksi analogiasignaaliksi,” Finnish Patent No. FI96810C, 1996-08-26.

261. Mehdi Rezaei, Imed Bouazizi and Moncef Gabbouj, “Time slicing and statistical multiplexing in a digital broadcast network,” US Patent No. US20080298337, 2008-12-04.

262. Imed Bouazizi, Lukasz Kondrad, Moncef Gabbouj, Heikki P. Talmola, Erro Correction Based on Replacing Padding Bits by Additional Parity Check Bits, Patent WO2011091850A1, 2011-08-04.

263. Jari Koivusaari, Moncef Gabbouj and Hexin Chen, “METHOD AND ARRANGEMENT FOR SYNCHRONIZING DIGITAL MULTIMEDIA SIGNALS,” Patent filed no. WO2010119171, 2010-10-15; also ”Menetelmä ja järjestely digitaalisten multimediasignaalien synkronoimiseksi,” Finnish Patent no. FI124520B, 2014-09-30.

264. Payman Aflaki, Miska Matias Hannuksela and Moncef Gabbouj, “Cross-asymmetric mixed-resolution stereoscopic video compression,” Nokia Invention Report, NC78287, Provisional Patent Application, filed 61/638389, 2012.

265. Martin Schrader, Joachimiak Michal Andrzej, Moncef Gabbouj, “Method and apparatus for mobile device position detection on the wireless charging pad,” Invention Report, Nokia 2013.

266. Serkan Kiranyaz, Turker Ince, and Moncef Gabbouj, “Personalized ECG Monitoring for Early Detection of Cardiac Abnormalities,” WO2018162957A1, 2018-09-13 and US Patent US2019069795A1, 2019-03-07.

267. Serkan Kiranyaz, Turker Ince, Moncef Gabbouj and Ridha Hamila, “Method and apparatus for performing feature classification on electrocardiogram data, US Patent no. US2018032689A1, 2018-02-01.

268. Serkan Kiranyaz, Turker Ince, Moncef Gabbouj and Alexandros Iosifidis, “Generalized Operational Perceptrons: New Generation Artificial Neural Networks,” Patent WO2018146514A1, 2018-08-16; also, US Patent No. US2019244093A1, 2019-08-08; and CN110300979A, 2019-10-01.

269. Mikko Roininen and Moncef Gabbouj, “Methods for modeling music related editing rules in automatic crowdsourced media editing, NC79361.

270. Serkan Kiranyaz, Junaid Malik, Turker Ince, Alexandros Iosifidis and Moncef Gabbouj, “Self-organized operational neural networks with generative neurons,” US Patent Application No. 63/133,128; filed on 31 Dec. 2020.

271. Serkan Kiranyaz, Junaid Malik, Turker Ince and Moncef Gabbouj, “Super neurons with non-localized kernel operations,” US Patent Application No. 63/133,137, filed on 31 Dec. 2020.

272. Serkan Kiranyaz, Aysen Degerli, Mete Ahishali, Mehmet Yamac, Muhammad E. H. Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, and Moncef Gabbouj, “Infection Map Generation and Pneumonia Detection from Chest X-Ray Images,” US Patent Application, filed Oct. 2020

273. Serkan Kiranyaz, Turker Ince, Levent Eren, Murat Askar and Moncef Gabbouj, Method and Apparatus for Performing Motor-Fault Detection via Convolutional Neural Networks, Chinese Patent Application No.2016800868331, June 17, 2016.

274. Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince, Junaid Malik, Muhammad Chowdhury, Amith Khandakar, Moncef Gabbouj, Electrocardiography Restoration by Operational Cycle-Generative Adversarial Networks, U.S. Non-Provisional Patent Application No. 18/119,659 filed March 9, 2023, Claiming Priority to U.S. Provisional Application No. 63/318,153 filed March 9, 2022.

275. Li Yu, Wenshuai Chang, Junfeng Wei, Mocef Gabbouj “Mobile phone-based VR image/video capturing and synthesis,” Chinese Patent, number ZL 2021 1 1269335.X, 23.05.2023.

Juho Kanniainen

Professor
Computing Sciences
Faculty of Information Technology and Communication Sciences
Tampere University
+358407074532
Computing Sciences
juho.kanniainen@tuni.fi

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Dr Juho Kanniainen is a Professor in Computing Sciences at Tampere University (TAU), Finland. He leads the research group focused on Financial Computing and Data Analytics. With a wealth of international leadership experience, Dr. Kanniainen has served as the director and coordinator of two large EU projects: HPCFinance and BigDataFinance. In his capacity as the head of multi-member international consortia, he has successfully secured a total of 7.5 million euros in EU funding for these pioneering initiatives. Additionally, Dr. Kanniainen has directed the international MSc program in Computing Sciences at TAU.

Juho's research agenda centers on machine learning, statistical computing and mathematical modeling for time-series analysis and graphs, with a emphasis on limit order book markets and information cascades. This interest spans financial market research and other contexts as well.

His papers have been published in top-tier journals, including IEEE Transactions on Neural Networks and Learning Systems (IF 14.255), Pattern Recognition (IF 8.518), and the Review of Finance (IF 5.059). He has organized several conferences and served as a co-editor for the book entitled High-Performance Computing in Finance: Problems, Methods, and Solutions, Chapman and Hall/CRC Financial Mathematics Series. He has supervised and co-supervised 10 PhD students.

Google scholar: https://scholar.google.fi/citations?user=xsOyQN4AAAAJ&hl=fi&oi=ao

Latest publications

Forecasting Mortality Associated Emergency Department Crowding with LightGBM and Time Series Data

Nevanlinna, J., Eidstø, A., Ylä-Mattila, J., Koivistoinen, T., Oksala, N., Kanniainen, J., Palomäki, A. & Roine, A., 15 tammik. 2025, julkaisussa: Journal of Medical Systems. 49, 1, 1 Sivumäärä, 9.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Forecasting emergency department occupancy with advanced machine learning models and multivariable input

Tuominen, J., Pulkkinen, E., Peltonen, J., Kanniainen, J., Oksala, N., Palomäki, A. & Roine, A., 2024, julkaisussa: INTERNATIONAL JOURNAL OF FORECASTING. 40, 4, s. 1410-1420 11 Sivumäärä

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Network analysis of aggregated money flows in stock markets

Karaila, J., Baltakys, K., Hansen, H., Goel, A. & Kanniainen, J., 2024, (E-pub ahead of print) julkaisussa: Quantitative Finance.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Valuation of option price in commodity markets described by a Markov-switching model: A case study of WTI crude oil market

Mehrdoust, F., Noorani, I. & Kanniainen, J., tammik. 2024, julkaisussa: Mathematics and Computers in Simulation. 215, s. 228-269 42 Sivumäärä

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Augmented bilinear network for incremental multi-stock time-series classification

Shabani, M., Tran, D. T., Kanniainen, J. & Iosifidis, A., syysk. 2023, julkaisussa: Pattern Recognition. 141, 109604.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Credit Card Fraud Detection with Subspace Learning-based One-Class Classification

Zaffar, Z., Sohrab, F., Kanniainen, J. & Gabbouj, M., 2023, 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, s. 407-412 6 Sivumäärä (IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Cryptocurrency Portfolio Optimization by Neural Networks: 2023 IEEE Symposium Series on Computational Intelligence (SSCI)

Nguyen, Q. M., Tran, D. T., Kanniainen, J., Iosifidis, A. & Gabbouj, M., 2023, 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, s. 25-32 8 Sivumäärä (IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Early Warning Software for Emergency Department Crowding

Tuominen, J., Koivistoinen, T., Kanniainen, J., Oksala, N., Palomäki, A. & Roine, A., toukok. 2023, julkaisussa: Journal of Medical Systems. 47, 10 Sivumäärä, 66.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Empirical deep hedging

Mikkilä, O. & Kanniainen, J., 2023, julkaisussa: Quantitative Finance. 23, 1, s. 111-122

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Investor trade allocation patterns in stock markets

Baltakys, K., Kanniainen, J., Saramäki, J. & Kivelä, M., kesäk. 2023, julkaisussa: JOURNAL OF ECONOMIC BEHAVIOR AND ORGANIZATION. 210, s. 191-209 19 Sivumäärä

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Alexandros Iosifidis

Professor
Machine learning
Faculty of Information Technology and Communication Sciences
Tampere University
+358504479074
alexandros.iosifidis@tuni.fi

Jyrki Nummenmaa

Professor
tietojenkäsittelyoppi, al. ohjelmistot, erit. hajautetut järj. tai ohj.kehitys
Faculty of Information Technology and Communication Sciences
Tampere University
+358405277999
jyrki.nummenmaa@tuni.fi

https://orcid.org/0000-0002-7476-7840

Jaakko Peltonen

Professor
tilastotiede, erityisesti data-analyysi
Faculty of Information Technology and Communication Sciences
Tampere University
+358503187116
jaakko.peltonen@tuni.fi

https://orcid.org/0000-0003-3485-8585

More information

About me

I am a professor of statistics and data analysis at Tampere University , Faculty of Information Technology and Communication Sciences. I am the leader of the Statistical Machine Learning and Exploratory Data Analysis (SMiLE) research group . I am a member of the Tampere Research Center in Information and Systems and a member of the Academy of Finland Center of Excellence in Game Culture Studies .

Please see a full description at: https://www.sis.uta.fi/~tojape/

Frank Emmert-Streib

Professor
Data Science
Faculty of Information Technology and Communication Sciences
Tampere University
+358503015353
frank.emmert-streib@tuni.fi

More information

About me

The Predictive Society and Data Analytics Lab pursues research in data
science. Data science comprises all methods from machine learning, artificial intelligence and statistics but places data in the center of focus. We are particularly interested in developing and applying high-dimensional methods that can be used for the interrogation of genomics and text data. Frequently, we are combining such methods with network science to obtain holistic interpretations of the underlying problem.

For more information please visit: www.bio-complexity.com

Latest publications

Aspects on the optimal decoupling point setting problem

Jodlbauer, H., Dehmer, M. & Emmert-Streib, F., heinäk. 2025, julkaisussa: Applied Mathematics and Computation. 496, 129343.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Deep mining the textual gold in relation extraction: Deep mining the textual gold in relation extraction: T. Sharma, F. Emmert-Streib

Sharma, T. & Emmert-Streib, F., tammik. 2025, julkaisussa: Artificial Intelligence Review. 58, 1, 34.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Gerardo Iniguez Gonzalez

Associate Professor
complex systems
Faculty of Information Technology and Communication Sciences
Tampere University
+358409344233
gerardo.iniguez@tuni.fi

https://orcid.org/0000-0001-7181-5520

More information

About me

I'm associate professor in complex systems at the Faculty of Information Technology and Communication Sciences of Tampere University, where I lead the Tampere Complexity Lab and the MSc in Data Science (CSEE) program. I'm also visiting professor at the Department of Network and Data Science of Central European University (Austria), the Department of Computer Science of Aalto University (Finland), and the Center of Complexity Science of UNAM (Mexico). On the industry side, I'm CEO & co-founder at Predify (Mexico), a data science consulting company.

Responsibilities

I'm Associate Editor at Advances in Complex Systems, Associate Editor in Complex Networks and Review Editor in Complex Physical Systems at Frontiers, and member of the European Humane AI Net project.

Field of expertise

I do research on complex systems, networks, computational social science, and data science. I also write fiction (sci-fi, fantasy, and weirder) and co-develop videogames on the side.

Research topics

Rank and hierarchy dynamics in complex systems
Dynamics on/off techno-social networks
Opinion dynamics and algorithmic bias in online platforms

Research unit

Data Science Research Centre

Research fields

Network science, computational social science, complex systems, data science.

Mission statement

Selected publications

G. Iñiguez, S. Heydari, J. Kertész, J. Saramäki, Universal patterns in egocentric communication networks. Nature Communications 14, 5217 (2023). DOI: https://doi.org/10.1038/s41467-023-40888-5
G. Iñiguez, C. Pineda, C. Gershenson, A.-L. Barabási. Dynamics of ranking. Nature Communications 13, 1646 (2022). DOI: https://doi.org/10.1038/s41467-022-29256-x. arXiv: 2104.13439
A. Asikainen, G. Iñiguez, J. Ureña-Carrión, K. Kaski, M. Kivelä. Cumulative effects of triadic closure and homophily in social networks. Science Advances 6, eaax7310 (2020). DOI: 10.1126/sciadv.aax7310. arXiv: 1809.06057
S. Unicomb, G. Iñiguez, J. P. Gleeson, M. Karsai, Dynamics of cascades on burstiness-controlled temporal networks. Nature Communications 12, 133 (2020). DOI: https://doi.org/10.1038/s41467-020-20398-4. arXiv: 2007.06223
Z. Ruan, G. Iñiguez, M. Karsai, J. Kertész. Kinetics of social contagion. Physical Review Letters 115, 218702 (2015). DOI: 10.1103/PhysRevLett.115.218702. arXiv: 1506.00251
G. Iñiguez, T. Govezensky, R. Dunbar, K. Kaski, R. A. Barrio. Effects of deception in social networks. Proceedings of the Royal Society B 281, 20141195 (2014). DOI: 10.1098/rspb.2014.1195. arXiv: 1406.0673
M. Karsai, G. Iñiguez, K. Kaski, J. Kertész. Complex contagion process in spreading of online innovation. Journal of the Royal Society Interface 11, 20140694 (2014). DOI: 10.1098/rsif.2014.0694. arXiv: 1405.6879
J. Török, G. Iñiguez, T. Yasseri, M. San Miguel, K. Kaski, J. Kertész. Opinions, conflicts, and consensus: Modeling social dynamics in a collaborative environment. Physical Review Letters 110, 088701 (2013). DOI: 10.1103/PhysRevLett.110.088701. arXiv: 1207.4914

Own links

Ari Visa

Professor
signaalinkäsittely
Faculty of Information Technology and Communication Sciences
Tampere University
+358407287969
ari.visa@tuni.fi

Aino Ahtinen

University Lecturer
Faculty of Information Technology and Communication Sciences
Tampere University
+358503015444
aino.ahtinen@tuni.fi

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