2024
E. Skenderi, J. Huhtamäki, S-M. Laaksonen and K. Stefanidis. INCEPT: A Framework for Duplicate Posts Classification with Combined Text Representations. ACM Transactions on the Web, Vol. 18, No. 3, 2024. [Link]
E. Zimina, K. Järvelin, J. Peltonen, A. Ranta, K. Stefanidis and J. Nummenmaa. Linguistic Summarisation of Multiple Entities in RDF Graphs. Applied Computing and Intelligence, 2024. [Local copy]
G. Troullinou, G. Agathangelos, H. Kondylakis, K. Stefanidis and D. Plexousakis. DIAERESIS: RDF Data Partitioning and Query Processing on SPARK. Semantic Web – Interoperability, Usability, Applicability an IOS Press Journal, 2023.
K. Zioutos, H. Kondylakis and K. Stefanidis. Healthy Personalized Recipe Recommendations for Weekly Meal Planning. Computers , vol. 13, 2024. [Link]
H-M. Attolou, K. Tzompanaki, K. Stefanidis and D. Kotzinos. Why-Not Explainable Graph Recommender. Proceedings of ICDE 2024. [Local copy]
G. Troullinou, K. Stefanidis, D. Plexousakis and H. Kondylakis. DIAERESIS: Knowledge Graph Partitioning for Efficient Query Answering. Proceedings of The WEB Conference 2024. [Local copy]
R. Shafiloo and K. Stefanidis. Examining the Impact of Multi-Objective Recommender Systems on Providers Bias. Proceedings of DARLI-AP 2024. [Local copy]
Md M. Hasan, S. Pervez, M. Stratigi and K. Stefanidis. SQUIRREL 2.0: Fairness & Explanations for Sequential Group Recommendations. Proceedings of DOLAP 2024. [Local copy]
H-M. Attolou, K. Tzompanaki, K. Stefanidis and D. Kotzinos. EMiGRe: Unveiling why your recommendations are not what you expect. Proceedings of ICWE 2024. [Local copy]
Z. Zhang and K Stefanidis. Data-driven Analysis for Monitoring Software Evolution. Proceedings of ADBIS 2024. [Local copy]
H. Zulfiqar, E. Lenzi and K Stefanidis. Evaluating Diversity in Sequential Group Recommendations. Proceedings of PeRS 2024. [Local copy]
M. Shahzaib Ali and K Stefanidis. Fairness in Group Recommender Systems Using Variational Autoencoders. Proceedings of IDEAS 2024. [Local copy]
Best Paper Award
U. Ahmed and K Stefanidis. Multi-Attribute Bias Mitigation in Recommender Systems. Proceedings of IDEAS 2024. [Local copy]
2023
N. Fanourakis, V. Efthymiou, V. Christophides, D. Kotzinos, E. Pitoura and K. Stefanidis. Structural Bias in Knowledge Graphs for the Entity Alignment Task. Proceedings of ESWC 2023. [Local copy]
D. Sacharidis, G. Giannopoulos, G. Papastefanatos and K. Stefanidis. Auditing for Spatial Fairness. Proceedings of EDBT/ICDT, 2023. [Local copy]
K. Katsarou, N. Douss and K. Stefanidis. REFORMIST: Hierarchical Attention Networks for Multi-Domain Sentiment Classification with Active Learning. Proceedings of ACM SAC, 2023. [Local copy]
K. Katsarou, R.M. Jeney and K. Stefanidis. MUTUAL: Multi-Domain Sentiment Classification via Uncertainty Sampling. Proceedings of ACM SAC, 2023. [Local copy]
R. Borges, O. Sahlgren, S. Koivunen, K. Stefanidis, T. Olsson and A. Laitinen. Multi-Objective Fairness in Team Assembly. Proceedings of ADBIS, 2023. [Local copy]
E. Skenderi, S-M. Laaksonen, J. Huhtamäki and K. Stefanidis. Assessing Text Representation Methods on Tag Prediction Task for StackOverflow. Proceedings of HICSS-56, 2023. [Local copy]
E. Chrysostomaki, M. Stratigi, V. Efthymiou, K. Stefanidis and D. Plexousakis. Fair Sequential Group Recommendations in SQUIRREL Movies. Proceedings of TaDA at VLDB 2023. [Local copy]
K. Zioutos, H. Kondylakis and K. Stefanidis. SHARE: A Framework for Personalized and Healthy Recipe Recommendations. Proceedings of EDBT/ICDT Workshops 2023. [Link]
W. Ullah, Z. Zhang and K. Stefanidis. Sentiment Analysis of Mobile Apps Using BERT. Proceedings of IEA/AIE 2023. [Local copy]
A. Yamac, M. Yamac and K. Stefanidis. On Supporting Game-based Learning via Recommendations. Proceedings of ECGBL 2023. [Local copy]
2022
M. Stratigi, E. Pitoura and K. Stefanidis. SQUIRREL: A Framework for Sequential Group Recommendations through Reinforcement Learning. Information Systems, 2022, Springer. [Local copy]
T. Brasileiro Araújo, K. Stefanidis, C. Eduardo Santos Pires, J. Nummenmaa and T. Pereira da Nóbrega. Incremental Entity Blocking over Heterogeneous Streaming Data. Information, vol. 13, no. 12, 2022. [Local copy]
R. Borges and K. Stefanidis. F2VAE: A Framework for Mitigating User Unfairness in Recommendation Systems. Proceedings of ACM SAC 2022. [Local copy]
2021
E. Pitoura, K. Stefanidis and G. Koutrika. Fairness in Rankings and Recommendations: An Overview. The VLDB Journal, 2021, Springer. [Local copy]
R. Borges and K. Stefanidis. Feature-Blind Fairness in Collaborative Filtering Recommender Systems. Knowledge and Information Systems Journal (KAIS), 2021, Springer. [Local copy]
M. Stratigi, E. Pitoura, J. Nummenmaa and K. Stefanidis. Sequential Group Recommendations based on Satisfaction and Disagreement Scores. Journal of Intelligent Information Systems, 2021, Springer. [Local copy]
E. Skenderi, J. Huhtamäki and K. Stefanidis. Multi-Keyword Classification: A Case Study in Finnish Social Sciences Data Archive. Information, vol. 12, no. 12, 2021. [Link]
P. Puustinen, K. Stefanidis, J. Kekalainen and M. Junkkari. Reinforcement Learning Page Prediction for Hierarchically Ordered Municipal Websites. Information, vol. 12, no. 6, 2021. [Link]
Xiaozhou Li, Zheying Zhang and Kostas Stefanidis. A Data-Driven Approach for Video Game Playability Analysis Based on Players’ Reviews. Information, vol. 12, no. 3, 2021. [Local copy]
V. Efthymiou, K. Stefanidis, E. Pitoura and V. Christophides. FairER: Entity Resolution With Fairness Constraints. Proceedings of ACM CIKM 2021. [Local copy]
R. Borges and K. Stefanidis. On Mitigating Popularity Bias in Recommendations via Variational Autoencoders. Proceedings of ACM SAC 2021. [Local copy]
I. Heiska and K. Stefanidis. Multi-Round Recommendations for Stable Groups. Proceedings of PIC 2021. [Local copy]
Best Paper Award
G. Giannopoulos, G. Papastefanatos, D. Sacharidis and K. Stefanidis. Interactivity, Fairness and Explanations in Recommendations. Proceedings of HAAPIE 2021. [Local copy]
G. Vassiliou, G. Troullinou, N. Papadakis, K. Stefanidis, E. Pitoura and H. Kondylakis. Coverage-Based Summaries for RDF KBs. Proceedings of ESWC 2021. [Local copy]
E. Pitoura, K. Stefanidis and G. Koutrika. Fairness in Rankings and Recommenders: Models, Methods and Research Directions. Proceedings of ICDE 2021. [Local copy]
E. Pitoura, K. Stefanidis and G. Koutrika. Fairness-aware Methods in Rankings and Recommenders. Proceedings of MDM 2021. [Local copy]
K. Stefanidis. FRecs – Fairness, Diversity and Transparency in Health Recommenders: Challenges & Objectives. Proceedings of SWH 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, 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]