Eirini Ntoutsi
Orcid: 0000-0001-5729-1003Affiliations:
- Bundeswehr University Munich, Germany
- Leibniz University Hannover, Germany (former)
- L3S Research Center, Hannover, Germany (former)
- LMU Munich, Institute of Informatics, Germany (former)
According to our database1,
Eirini Ntoutsi
authored at least 128 papers
between 2000 and 2024.
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Bibliography
2024
Correction to: Studying bias in visual features through the lens of optimal transport.
Data Min. Knowl. Discov., January, 2024
Data Min. Knowl. Discov., January, 2024
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study.
CoRR, 2024
Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb.
CoRR, 2024
Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the 5th ACM International Conference on AI in Finance, 2024
Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-Based Editing.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
2023
Knowl. Inf. Syst., February, 2023
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning.
CoRR, 2023
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning.
CoRR, 2023
Regionally Additive Models: Explainable-by-design models minimizing feature interactions.
CoRR, 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples.
CoRR, 2023
A review of clustering models in educational data science towards fairness-aware learning.
CoRR, 2023
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Keynote Speech 2: Bias and Discrimination in AI Systems: From Single-Identity Dimensions to Multi-Discrimination.
Proceedings of the International Conference on Multimedia Computing, 2023
Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy.
Proceedings of the 2nd European Workshop on Algorithmic Fairness, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
2022
WIREs Data Mining Knowl. Discov., 2022
Context matters for fairness - a case study on the effect of spatial distribution shifts.
CoRR, 2022
CoRR, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
2021
Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science (Dagstuhl Perspectives Workshop 18262).
Dagstuhl Manifestos, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Fair-Capacitated Clustering.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
Towards fair, explainable and actionable clustering for learning analytics.
Proceedings of the 14th International Conference on Educational Data Mining, 2021
XPROAX-Local explanations for text classification with progressive neighborhood approximation.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
2020
WIREs Data Mining Knowl. Discov., 2020
Knowl. Inf. Syst., 2020
Tracking the history and evolution of entities: entity-centric temporal analysis of large social media archives.
Int. J. Digit. Libr., 2020
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity.
Int. J. Data Sci. Anal., 2020
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning.
Big Data, 2020
Ann. des Télécommunications, 2020
Ann. des Télécommunications, 2020
Proceedings of the 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020
Proceedings of the Discovery Science - 23rd International Conference, 2020
Proceedings of the Discovery Science - 23rd International Conference, 2020
Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019).
Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), 2019
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
Proceedings of the Multiple-Aspect Analysis of Semantic Trajectories, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Database and Expert Systems Applications, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018
Dagstuhl Reports, 2018
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Reinforcement Learning Based Decision Tree Induction Over Data Streams with Concept Drifts.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
Proceedings of the Semantic Web - 15th International Conference, 2018
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Sentiment Classification over Opinionated Data Streams Through Informed Model Adaptation.
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017
Proceedings of the Research and Advanced Technology for Digital Libraries, 2017
2016
Extracting opinionated (sub)features from a stream of product reviews using accumulated novelty and internal re-organization.
Inf. Sci., 2016
Proceedings of the Workshop on Data-Driven Innovation on the Web, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the 19th International Conference on Extending Database Technology, 2016
Applying data mining methods for the analysis of stable isotope data in bioarchaeology.
Proceedings of the 12th IEEE International Conference on e-Science, 2016
2015
Discovering and monitoring product features and the opinions on them with OPINSTREAM.
Neurocomputing, 2015
CoRR, 2015
Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015
Data mining for isotopic mapping of bioarchaeological finds in a central european alpine passage.
Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
Proceedings of the Conference on Scientific and Statistical Database Management, 2014
Proceedings of the Symposium on Applied Computing, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
"Strength Lies in Differences": Diversifying Friends for Recommendations through Subspace Clustering.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
Trans. Large Scale Data Knowl. Centered Syst., 2013
Clustering high dimensional data: examining differences and commonalities between subspace clustering and text clustering - a position paper.
SIGKDD Explor., 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Discovery Science - 16th International Conference, 2013
2012
Int. J. Data Warehous. Min., 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the ACM Symposium on Applied Computing, 2012
Proceedings of the Conceptual Modeling, 2012
Proceedings of the Database and Expert Systems Applications, 2012
Proceedings of the Database Systems for Advanced Applications, 2012
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
2011
Proceedings of the Scientific and Statistical Database Management, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011
2010
Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques, 2010
2009
2008
Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008
Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008
Proceedings of the Mobility, Data Mining and Privacy - Geographic Knowledge Discovery, 2008
Int. J. Bus. Intell. Data Min., 2008
Proceedings of the Artificial Intelligence: Theories, 2008
A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees.
Proceedings of the SIAM International Conference on Data Mining, 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Seventh ACM International Workshop on Data Engineering for Wireless and Mobile Access, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
2007
Proceedings of the 14th International Symposium on Temporal Representation and Reasoning (TIME 2007), 2007
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007
2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
2005
Proceedings of the Advances in Informatics, 2005
2004
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004
Proceedings of the Intl. Workshop on Pattern Representation and Management, 2004
2002
Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002
2000
Intell. Data Anal., 2000