| 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 | 911 | 2020 |
| 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 | 273 | 2022 |
| AdaFair: Cumulative Fairness Adaptive Boosting V Iosifidis, E Ntoutsi Proceedings of the 28th ACM International Conference on Information and …, 2019 | 98 | 2019 |
| Lstm based sentiment analysis for cryptocurrency prediction X Huang, W Zhang, X Tang, M Zhang, J Surbiryala, V Iosifidis, Z Liu, ... Database Systems for Advanced Applications: 26th International Conference …, 2021 | 91 | 2021 |
| Dealing with Bias via Data Augmentation in Supervised Learning Scenarios V Iosifidis, E Ntoutsi Jo Bates Paul D. Clough Robert Jäschke, 24, 2018 | 81 | 2018 |
| FAE: A Fairness-Aware Ensemble Framework V Iosifidis, B Fetahu, E Ntoutsi IEEE International Conference on Big Data, 2019 | 73 | 2019 |
| & Staab, S.(2020). Bias in data‐driven artificial intelligence systems—An introductory survey E Ntoutsi, P Fafalios, U Gadiraju, V Iosifidis, W Nejdl, ME Vidal Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (3 …, 0 | 58 | |
| 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 | 47 | 2018 |
| Large scale sentiment learning with limited labels V Iosifidis, E Ntoutsi Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 42 | 2017 |
| Fairness-enhancing interventions in stream classification V Iosifidis, TNH Tran, E Ntoutsi International Conference on Database and Expert Systems Applications, 261-276, 2019 | 40 | 2019 |
| -Online Fairness-Aware Learning Under Class Imbalance V Iosifidis, E Ntoutsi International Conference on Discovery Science, 159-174, 2020 | 36 | 2020 |
| Using machine learning to automate mammogram images analysis X Tang, L Zhang, W Zhang, X Huang, V Iosifidis, Z Liu, M Zhang, ... 2020 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2020 | 29 | 2020 |
| FairNN - Conjoint Learning of Fair Representations for Fair Decisions T Hu, V Iosifidis, W Liao, H Zhang, MY Yang, E Ntoutsi, B Rosenhahn Discovery Science: 23rd International Conference, DS 2020, Thessaloniki …, 2020 | 26 | 2020 |
| Sentiment analysis on big sparse data streams with limited labels V Iosifidis, E Ntoutsi Knowledge and Information Systems, 1-40, 2019 | 21 | 2019 |
| Bias in data-driven artificial intelligence systems–an introductory survey. WIREs Data Min Knowl Discov 10 (3): e1356 E Ntoutsi, P Fafalios, U Gadiraju, V Iosifidis, W Nejdl, ME Vidal, S Ruggieri, ... | 13 | 2020 |
| Multi-aspect entity-centric analysis of big social media archives P Fafalios, V Iosifidis, K Stefanidis, E Ntoutsi Research and Advanced Technology for Digital Libraries: 21st International …, 2017 | 12 | 2017 |
| Multi-fair pareto boosting A Roy, V Iosifidis, E Ntoutsi arXiv preprint arXiv:2104.13312, 2021 | 9 | 2021 |
| Simple-ML: Towards a framework for semantic data analytics workflows S Gottschalk, N Tempelmeier, G Kniesel, V Iosifidis, B Fetahu, ... Semantic Systems. The Power of AI and Knowledge Graphs: 15th International …, 2019 | 9 | 2019 |
| Sentiment classification over opinionated data streams through informed model adaptation V Iosifidis, A Oelschlager, E Ntoutsi Research and Advanced Technology for Digital Libraries: 21st International …, 2017 | 9 | 2017 |
| AdaCC: cumulative cost-sensitive boosting for imbalanced classification V Iosifidis, S Papadopoulos, B Rosenhahn, E Ntoutsi Knowledge and Information Systems 65 (2), 789-826, 2023 | 8 | 2023 |
Eirini NtoutsiProfessor of Open Source Intelligence at the Bundeswehr University MunichZweryfikowany adres z unibw.de
