2021
R. Borges and K. Stefanidis. On Mitigating Popularity Bias in Recommendations via Variational Autoencoders. Proceedings of ACM SAC 2021. [Local copy]
2020
V. Christophides, V. Efthymiou, T. Palpanas, G. Papadakis and K. Stefanidis. An Overview of End-to-End Entity Resolution for Big Data. ACM Computing Surveys (Accepted, 2020). [Local copy]
V. Efthymiou, K. Stefanidis and V. Christophides. Benchmarking Blocking Algorithms for Web Entities. IEEE Transactions on Big Data 6(2): 382-395 (2020). [Local copy]
M. Stratigi, H. Kondylakis and K. Stefanidis. Multidimensional Group Recommendations in the Health Domain. Algorithms, vol. 13, no. 3, 2020. [Local copy]
Xiaozhou Li, Boyang Zhang, Zheying Zhang and Kostas Stefanidis. A Sentiment-Statistical Approach for Identifying Problematic Mobile App Updates Based on User Reviews. Information, vol. 11, no. 3, 2020. [Local copy]
S. Kumpulainen, H. Keskustalo, B. Zhang and K. Stefanidis. Historical Reasoning in Authentic Research Tasks: Mapping Cognitive and Document Spaces. Journal of the Association for Information Science and Technology (JASIST), vol. 71, no. 2, 2020. https://doi.org/10.1002/asi.24216
P. Fafalios, V. Iosifidis, K. Stefanidis and E. Ntoutsi. Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives. Springer International Journal on Digital Libraries. 21, 5–17, 2020. [Local copy]
T. Brasileiro Araújo, K. Stefanidis, C. Eduardo Santos Pires, J. Nummenmaa and T. Pereira da Nóbrega. Schema-agnostic Blocking for Streaming Data. Proceedings of ACM SAC 2020. [Local copy]
M. Stratigi, J. Nummenmaa, E. Pitoura and K. Stefanidis. Fair Sequential Group Recommendations. Proceedings of ACM SAC 2020. [Local copy]
M. Stratigi, K. Tzompanaki and K. Stefanidis. Why-Not Questions & Explanations for Collaborative Filtering. Proceedings of WISE 2020. [Local copy]
R. Borges and K. Stefanidis. On Measuring Popularity Bias in Collaborative Filtering Data. Proceedings of BigVis 2020. [Local copy]
2019
V. Efthymiou, G. Papadakis, K. Stefanidis and V. Christophides. MinoanER: Schema-Agnostic, Non-Iterative, Massively Parallel Resolution of Web Entities. Proceedings of EDBT 2019. [Local copy]
T. Brasileiro Araújo, C. Eduardo Santos Pires, D. Mestre, T. Nobrega, D. Cassimiro do Nascimento Filho and K. Stefanidis. A Noise Tolerant and Schema-agnostic Blocking Technique for Entity Resolution. Proceedings of ACM SAC 2019. [Local copy]
R. Borges and K. Stefanidis. Enhancing Long Term Fairness in Recommendations with Variational Autoencoders. Proceedings of MEDES 2019. [Local copy]
M. Stratigi, X. Li, K. Stefanidis and Z. Zhang. Ratings vs. Reviews in Recommender Systems: A Case Study on the Amazon Movies Dataset. Proceedings of ADBIS 2019. [Local copy]
L. Machado and K. Stefanidis. Fair Team Recommendations for Multidisciplinary Projects. Proceedings of Web Intelligence 2019. [Local copy]
T. Brasileiro Araújo, K. Stefanidis, C. Eduardo Santos Pires, J. Nummenmaa and T. Nobrega. Incremental Blocking for Entity Resolution over Web Streaming Data. Proceedings of Web Intelligence2019. [Local copy]
H. Kondylakis and K. Stefanidis. Towards Education and Emotion Based Semantic Group Recommendations for Health. Proceedings of SWH 2019. [Local copy]
J. Gong, Y. Ye and K. Stefanidis. A Hybrid Recommender System for Steam Games. Proceedings of ISIP 2019. [Local copy]
R. Hannula, A. Nikkila and K. Stefanidis. GameRecs: Video Games Group Recommendations. Proceedings of QAUCA 2019. [Local copy]
J. Klancar, K. Paulussen and K. Stefanidis. FIFARecs: A Recommender System for FIFA18. Proceedings of QAUCA 2019. [Local copy]
2018
G. Troullinou, H. Kondylakis, K. Stefanidis and D. Plexousakis. Exploring RDF/S KBs Using Summaries. Proceedings of ISWC 2018. [Local copy]
V. Efthymiou, G. Papadakis, K. Stefanidis and V. Christophides. Simplifying Entity Resolution on Web Data with Schema-agnostic, Non-iterative Matching. Proceedings of ICDE 2018. [Local copy]
E. Zimina, J. Nummenmaa, K. Jarvelin, J. Peltonen and K. Stefanidis. MuG-QA: Multilingual Grammatical Question Answering for RDF Data. Proceedings of PIC 2018. [Local copy]
M. Stratigi, H. Kondylakis and K. Stefanidis. FairGRecs: Fair Group Recommendations by Exploiting Personal Health Information. Proceedings of DEXA 2018. [Local copy]
X. Li, Z. Zhang and K. Stefanidis. Mobile App Evolution Analysis based on User Reviews. Proceedings of SOMET 2018. [Local copy]
X. Li, Z. Zhang and K. Stefanidis. Sentiment-aware Analysis of Mobile Apps User Reviews Regarding Particular Updates. Proceedings of ICSEA 2018. [Local copy]
M. Koskela, I. Simola and K. Stefanidis. Open Source Software Recommendations Using Github. Proceedings of TPDL 2018. [Local copy]
G. Agathangelos, G. Troullinou, H. Kondylakis, K. Stefanidis and D. Plexousakis. RDF Query Answering Using Apache Spark: Review and Assessment. Proceedings of ICDE Workshops 2018. [Local copy]
G. Agathangelos, G. Troullinou, H. Kondylakis, K. Stefanidis and D. Plexousakis. Incremental Data Partitioning of RDF Data in SPARK. Proceedings of ESWC 2018. [Local copy]
E. Zimina, J. Nummenmaa, K. Jarvelin, J. Peltonen, K. Stefanidis and Heikki Hyyro. GQA: Grammatical Question Answering for RDF Data. SQA 2018 CHALLENGE – ESWC 2018. [Local copy]
T. Araujo, C. Pires and K. Stefanidis. Noisy-aware Blocking over Heterogeneous Data. Proceedings of ISWC 2018. [Local copy]
G. Troullinou, H. Kondylakis, K. Stefanidis and D. Plexousakis. RDFDigest+: A Summary-driven System for KBs Exploration. Proceedings of ISWC 2018. (Demo Paper) [Local copy]