Eirini Ntoutsi

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 102

Top Venues

Publications

Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering. PAKDD (1) (2024)
Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi
Studying bias in visual features through the lens of optimal transport. Data Min. Knowl. Discov. 38 (1) (2024)
Alaa Elobaid, Nathan Ramoly, Lara Younes, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure. FG (2024)
Alaa Elobaid, Nathan Ramoly, Lara Younes, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure. CoRR (2024)
Swati Swati, Arjun Roy, Eirini Ntoutsi
Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb. CoRR (2024)
Vasilis Gkolemis, Christos Diou, Eirini Ntoutsi, Theodore Dalamagas, Bernd Bischl, Julia Herbinger, Giuseppe Casalicchio
Effector: A Python package for regional explanations. CoRR (2024)
Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi
Correction to: Studying bias in visual features through the lens of optimal transport. Data Min. Knowl. Discov. 38 (1) (2024)
Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering. CoRR (2024)
Chethan Krishnamurthy Ramanaik, Arjun Roy, Eirini Ntoutsi
Adversarial Robustness of VAEs across Intersectional Subgroups. CoRR (2024)
Vasilis Gkolemis, Anargiros Tzerefos, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
Regionally Additive Models: Explainable-by-design models minimizing feature interactions. CoRR (2023)
Arjun Roy, Jan Horstmann, Eirini Ntoutsi
Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview. FAccT (2023)
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Multi-fair Capacitated Students-Topics Grouping Problem. PAKDD (1) (2023)
Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects. ECAI (2023)
Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
RHALE: Robust and Heterogeneity-aware Accumulated Local Effects. CoRR (2023)
Arjun Roy, Jan Horstmann, Eirini Ntoutsi
Multi-dimensional discrimination in Law and Machine Learning - A comparative overview. CoRR (2023)
Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder
Explaining text classifiers through progressive neighborhood approximation with realistic samples. CoRR (2023)
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
A review of clustering models in educational data science towards fairness-aware learning. CoRR (2023)
Eirini Ntoutsi
Keynote Speech 2: Bias and Discrimination in AI Systems: From Single-Identity Dimensions to Multi-Discrimination. MCNA (2023)
Siamak Ghodsi, Eirini Ntoutsi
Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy. EWAF (2023)
Siamak Ghodsi, Eirini Ntoutsi
Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy. CoRR (2023)
Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi
AdaCC: cumulative cost-sensitive boosting for imbalanced classification. Knowl. Inf. Syst. 65 (2) (2023)
Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning. CoRR (2023)
Emmanouil Panagiotou, Eirini Ntoutsi
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning. CoRR (2023)
Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi
Parity-based cumulative fairness-aware boosting. Knowl. Inf. Syst. 64 (10) (2022)
Arjun Roy, Eirini Ntoutsi
Learning to Teach Fairness-Aware Deep Multi-task Learning. ECML/PKDD (1) (2022)
Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
Multi-fairness Under Class-Imbalance. DS (2022)
Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi
AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification. CoRR (2022)
Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi
Evaluation of Group Fairness Measures in Student Performance Prediction Problems. PKDD/ECML Workshops (1) (2022)
Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi
Evaluation of group fairness measures in student performance prediction problems. CoRR (2022)
Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi
Parity-based Cumulative Fairness-aware Boosting. CoRR (2022)
Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
A survey on datasets for fairness-aware machine learning. WIREs Data Mining Knowl. Discov. 12 (3) (2022)
Yi Cai, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi
Power of Explanations: Towards automatic debiasing in hate speech detection. CoRR (2022)
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem. CoRR (2022)
Arjun Roy, Eirini Ntoutsi
Learning to Teach Fairness-aware Deep Multi-task Learning. CoRR (2022)
Yi Cai, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi
Power of Explanations: Towards automatic debiasing in hate speech detection. DSAA (2022)
Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang
Attention Mechanism based Cognition-level Scene Understanding. CoRR (2022)
Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
A survey on bias in visual datasets. Comput. Vis. Image Underst. 223 (2022)
Siamak Ghodsi, Harith Alani, Eirini Ntoutsi
Context matters for fairness - a case study on the effect of spatial distribution shifts. CoRR (2022)
Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
Multi-Fair Pareto Boosting. CoRR (2021)
Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
Interpretable Visual Understanding with Cognitive Attention Network. ICANN (1) (2021)
Philip Naumann, Eirini Ntoutsi
Consequence-Aware Sequential Counterfactual Generation. ECML/PKDD (2) (2021)
Bettina Berendt, Fabien Gandon, Susan Halford, Wendy Hall, Jim Hendler, Katharina E. Kinder-Kurlanda, Eirini Ntoutsi, Steffen Staab
Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science (Dagstuhl Perspectives Workshop 18262). Dagstuhl Manifestos 9 (1) (2021)
Toon Calders, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Salvatore Ruggieri
Introduction to The Special Section on Bias and Fairness in AI. SIGKDD Explor. 23 (1) (2021)
Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
Interpretable Visual Understanding with Cognitive Attention Network. CoRR (2021)
Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
Fair-Capacitated Clustering. EDM (2021)
Yi Cai, Arthur Zimek, Eirini Ntoutsi
XPROAX-Local explanations for text classification with progressive neighborhood approximation. CoRR (2021)
Yi Cai, Arthur Zimek, Eirini Ntoutsi
XPROAX-Local explanations for text classification with progressive neighborhood approximation. DSAA (2021)
Philip Naumann, Eirini Ntoutsi
Consequence-aware Sequential Counterfactual Generation. CoRR (2021)
Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
A Survey on Bias in Visual Datasets. CoRR (2021)
Tai Le Quy, Eirini Ntoutsi
Towards fair, explainable and actionable clustering for learning analytics. EDM (2021)
Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
A survey on datasets for fairness-aware machine learning. CoRR (2021)
Tai Le Quy, Sergej Zerr, Eirini Ntoutsi, Wolfgang Nejdl
Data augmentation for dealing with low sampling rates in NILM. CoRR (2021)
Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
Online Fairness-Aware Learning with Imbalanced Data Streams. CoRR (2021)
Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
Fair-Capacitated Clustering. CoRR (2021)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data 8 (5) (2020)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data 8 (6) (2020)
Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. Int. J. Data Sci. Anal. 9 (1) (2020)
Eirini Ntoutsi
Bias in AI-systems: A multi-step approach. NL4XAI@INGL (2020)
Bahman Askari, Tai Le Quy, Eirini Ntoutsi
Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest. COMPSAC (2020)
Amir Abolfazli, Eirini Ntoutsi
Drift-Aware Multi-Memory Model for Imbalanced Data Streams. CoRR (2020)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning. Big Data 8 (4) (2020)
Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, Myra Spiliopoulou
Resource management for model learning at entity level. Ann. des Télécommunications 75 (9-10) (2020)
Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, Myra Spiliopoulou
Active feature acquisition on data streams under feature drift. Ann. des Télécommunications 75 (9-10) (2020)
Vasileios Iosifidis, Eirini Ntoutsi
FABBOO - Online Fairness-Aware Learning Under Class Imbalance. DS (2020)
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
Bias in data-driven artificial intelligence systems - An introductory survey. WIREs Data Mining Knowl. Discov. 10 (3) (2020)
Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn
FairNN- Conjoint Learning of Fair Representations for Fair Decisions. CoRR (2020)
Amir Abolfazli, Eirini Ntoutsi
Drift-Aware Multi-Memory Model for Imbalanced Data Streams. IEEE BigData (2020)
Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn
FairNN - Conjoint Learning of Fair Representations for Fair Decisions. DS (2020)
Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi
Tracking the history and evolution of entities: entity-centric temporal analysis of large social media archives. Int. J. Digit. Libr. 21 (1) (2020)
Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi
FAE: A Fairness-Aware Ensemble Framework. CoRR (2020)
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
Bias in Data-driven AI Systems - An Introductory Survey. CoRR (2020)
Vasileios Iosifidis, Eirini Ntoutsi
Sentiment analysis on big sparse data streams with limited labels. Knowl. Inf. Syst. 62 (4) (2020)
Wenbin Zhang, Eirini Ntoutsi
FAHT: An Adaptive Fairness-aware Decision Tree Classifier. IJCAI (2019)
Vasileios Iosifidis, Eirini Ntoutsi
AdaFair: Cumulative Fairness Adaptive Boosting. CIKM (2019)
Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, Myra Spiliopoulou
Exploiting entity information for stream classification over a stream of reviews. SAC (2019)
Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi
Fairness-Enhancing Interventions in Stream Classification. DEXA (1) (2019)
Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi
FAE: A Fairness-Aware Ensemble Framework. IEEE BigData (2019)
Vasileios Iosifidis, Eirini Ntoutsi
AdaFair: Cumulative Fairness Adaptive Boosting. CoRR (2019)
Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi
Fairness-enhancing interventions in stream classification. CoRR (2019)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019). EDML@SDM (2019)
Wenbin Zhang, Eirini Ntoutsi
FAHT: An Adaptive Fairness-aware Decision Tree Classifier. CoRR (2019)
Tai Le Quy, Wolfgang Nejdl, Myra Spiliopoulou, Eirini Ntoutsi
A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction. MASTER@PKDD/ECML (2019)
Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi
Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives. CoRR (2018)
Pavlos Fafalios, Vasileios Iosifidis, Eirini Ntoutsi, Stefan Dietze
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets. ESWC (2018)
Stratos Mansalis, Eirini Ntoutsi, Nikos Pelekis, Yannis Theodoridis
An evaluation of data stream clustering algorithms. Stat. Anal. Data Min. 11 (4) (2018)
Christopher Blake, Eirini Ntoutsi
Reinforcement Learning Based Decision Tree Induction Over Data Streams with Concept Drifts. ICBK (2018)
Christian Beyer, Vishnu Unnikrishnan, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou
Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. DSAA (2018)
Pavlos Fafalios, Vasileios Iosifidis, Eirini Ntoutsi, Stefan Dietze
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets. CoRR (2018)
Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, Myra Spiliopoulou
Predicting polarities of entity-centered documents without reading their contents. SAC (2018)
Damianos P. Melidis, Alvaro Veizaga Campero, Vasileios Iosifidis, Eirini Ntoutsi, Myra Spiliopoulou
Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams. WIMS (2018)
Damianos P. Melidis, Myra Spiliopoulou, Eirini Ntoutsi
Learning under Feature Drifts in Textual Streams. CIKM (2018)
Susan Halford, James A. Hendler, Eirini Ntoutsi, Steffen Staab
10 Years of Web Science: Closing The Loop (Dagstuhl Perspectives Workshop 18262). Dagstuhl Reports 8 (6) (2018)
Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi
Multi-aspect Entity-Centric Analysis of Big Social Media Archives. TPDL (2017)
Vasileios Iosifidis, Annina Oelschlager, Eirini Ntoutsi
Sentiment Classification over Opinionated Data Streams Through Informed Model Adaptation. TPDL (2017)
Daniel Basaran, Eirini Ntoutsi, Arthur Zimek
Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets. SDM (2017)
Vasileios Iosifidis, Eirini Ntoutsi
Large Scale Sentiment Learning with Limited Labels. KDD (2017)
Markus Mauder, Yulia Bobkova, Eirini Ntoutsi
GMMbuilder - User-Driven Discovery of Clustering Structure for Bioarchaeology. ECML/PKDD (3) (2016)
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
Extracting opinionated (sub)features from a stream of product reviews using accumulated novelty and internal re-organization. Inf. Sci. 329 (2016)
Kostas Stefanidis, Eirini Ntoutsi
Cluster-based Contextual Recommendations. EDBT (2016)
Markus Mauder, Eirini Ntoutsi, Peer Kröger, Christoph Mayr, Gisela Grupe, Anita Toncala, Stefan Holzl
Applying data mining methods for the analysis of stable isotope data in bioarchaeology. eScience (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Eirini Ntoutsi