Bias in data‐driven artificial intelligence systems—An introductory survey E Ntoutsi, P Fafalios, U Gadiraju, V Iosifidis, W Nejdl, ME Vidal, S Ruggieri, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (3 …, 2020 | 690 | 2020 |
Mobility, data mining and privacy: Geographic knowledge discovery F Giannotti, D Pedreschi Springer Science & Business Media, 2008 | 403 | 2008 |
Monic: modeling and monitoring cluster transitions M Spiliopoulou, I Ntoutsi, Y Theodoridis, R Schult Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 372 | 2006 |
A survey on datasets for fairness‐aware machine learning T Le Quy, A Roy, V Iosifidis, W Zhang, E Ntoutsi Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (3 …, 2022 | 211 | 2022 |
Similarity search in trajectory databases N Pelekis, I Kopanakis, G Marketos, I Ntoutsi, G Andrienko, Y Theodoridis 14th International Symposium on Temporal Representation and Reasoning (TIME …, 2007 | 205 | 2007 |
Density-based projected clustering over high dimensional data streams I Ntoutsi, A Zimek, T Palpanas, P Kröger, HP Kriegel Proceedings of the 2012 SIAM international conference on data mining, 987-998, 2012 | 147 | 2012 |
Fast group recommendations by applying user clustering E Ntoutsi, K Stefanidis, K Nørvåg, HP Kriegel ER, 2012 | 138 | 2012 |
Building real-world trajectory warehouses G Marketos, E Frentzos, I Ntoutsi, N Pelekis, A Raffaeta, Y Theodoridis Proceedings of the seventh ACM international workshop on data engineering …, 2008 | 121 | 2008 |
Faht: an adaptive fairness-aware decision tree classifier W Zhang, E Ntoutsi arXiv preprint arXiv:1907.07237, 2019 | 104 | 2019 |
A survey on bias in visual datasets S Fabbrizzi, S Papadopoulos, E Ntoutsi, I Kompatsiaris Computer Vision and Image Understanding 223, 103552, 2022 | 91 | 2022 |
Adafair: Cumulative fairness adaptive boosting V Iosifidis, E Ntoutsi Proceedings of the 28th ACM international conference on information and …, 2019 | 91 | 2019 |
An evaluation of data stream clustering algorithms S Mansalis, E Ntoutsi, N Pelekis, Y Theodoridis Statistical Analysis and Data Mining: The ASA Data Science Journal 11 (4 …, 2018 | 85 | 2018 |
Dealing with bias via data augmentation in supervised learning scenarios V Iosifidis, E Ntoutsi Jo Bates Paul D. Clough Robert Jäschke 24 (11), 2018 | 72 | 2018 |
FAE: A fairness-aware ensemble framework V Iosifidis, B Fetahu, E Ntoutsi 2019 IEEE International Conference on Big Data (Big Data), 1375-1380, 2019 | 60 | 2019 |
A unified and flexible framework for comparing simple and complex patterns I Bartolini, P Ciaccia, I Ntoutsi, M Patella, Y Theodoridis Knowledge Discovery in Databases: PKDD 2004: 8th European Conference on …, 2004 | 58 | 2004 |
" Strength Lies in Differences" Diversifying Friends for Recommendations through Subspace Clustering E Ntoutsi, K Stefanidis, K Rausch, HP Kriegel Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 48 | 2014 |
grecs: A group recommendation system based on user clustering E Ntoutsi, K Stefanidis, K Norvag, HP Kriegel Database Systems for Advanced Applications, 299-303, 2012 | 46 | 2012 |
Trajectory data models J Macedo, C Vangenot, W Othman, N Pelekis, E Frentzos, B Kuijpers, ... Mobility, Data Mining and Privacy: Geographic Knowledge Discovery, 123-150, 2008 | 43 | 2008 |
Tweetskb: A public and large-scale rdf corpus of annotated tweets P Fafalios, V Iosifidis, E Ntoutsi, S Dietze The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete …, 2018 | 42 | 2018 |
Density based subspace clustering over dynamic data HP Kriegel, P Kröger, E Ntoutsi, A Zimek Scientific and Statistical Database Management, 387-404, 2011 | 41 | 2011 |