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Eirini Ntoutsi
Eirini Ntoutsi
Professor of Open Source Intelligence at the Bundeswehr University Munich
Verified email at unibw.de - Homepage
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Cited by
Cited by
Year
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
5092020
Mobility, data mining and privacy: Geographic knowledge discovery
F Giannotti, D Pedreschi
Springer Science & Business Media, 2008
3982008
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
3662006
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
2022007
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
1472022
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
1442012
Fast group recommendations by applying user clustering
E Ntoutsi, K Stefanidis, K Nørvåg, HP Kriegel
ER, 2012
1342012
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
1212008
Faht: an adaptive fairness-aware decision tree classifier
W Zhang, E Ntoutsi
arXiv preprint arXiv:1907.07237, 2019
872019
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
732018
Adafair: Cumulative fairness adaptive boosting
V Iosifidis, E Ntoutsi
Proceedings of the 28th ACM international conference on information and …, 2019
722019
Dealing with bias via data augmentation in supervised learning scenarios
V Iosifidis, E Ntoutsi
Jo Bates Paul D. Clough Robert Jäschke 24 (11), 2018
592018
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
582004
A survey on bias in visual datasets
S Fabbrizzi, S Papadopoulos, E Ntoutsi, I Kompatsiaris
Computer Vision and Image Understanding 223, 103552, 2022
552022
FAE: A fairness-aware ensemble framework
V Iosifidis, B Fetahu, E Ntoutsi
2019 IEEE International Conference on Big Data (Big Data), 1375-1380, 2019
492019
" 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
482014
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
442012
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
422008
Large scale sentiment learning with limited labels
V Iosifidis, E Ntoutsi
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
392017
Density based subspace clustering over dynamic data
HP Kriegel, P Kröger, E Ntoutsi, A Zimek
Scientific and Statistical Database Management, 387-404, 2011
392011
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