Eirini Ntoutsi

164 papers A* 4A 7B 25Misc 3Journal 79Unranked 31
YearRankTypeTitle / Venue / Authors
2026 B conf
MIMOSA: A Tool for Fairness Exploration Through Explanations.
EDBT
Vasiliki Papanikou, Danae Pla Karidi, Evaggelia Pitoura, Emmanouil Panagiotou, Eirini Ntoutsi
2025 B conf
A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-Off Perspective.
IEEE Big Data
Siamak Ghodsi, Amjad Seyedi, Tai Le Quy, Fariba Karimi, Eirini Ntoutsi
2025 J jnl
A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective.
CoRR
Siamak Ghodsi, Seyed Amjad Seyedi, Tai Le Quy, Fariba Karimi, Eirini Ntoutsi
2025 J jnl
ALMA: Aggregated Lipschitz Maximization Attack on Auto-encoders.
CoRR
Chethan Krishnamurthy Ramanaik, Arjun Roy, Eirini Ntoutsi
2025 — conf
Achieving Socio-Economic Parity through the Lens of EU AI Act.
FAccT
Arjun Roy, Stavroula Rizou, Symeon Papadopoulos, Eirini Ntoutsi
2025 J jnl
Achieving Socio-Economic Parity through the Lens of EU AI Act.
CoRR
Arjun Roy, Stavroula Rizou, Symeon Papadopoulos, Eirini Ntoutsi
2025 J jnl
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration.
CoRR
Vasiliki Papanikou, Danae Pla Karidi, Evaggelia Pitoura, Emmanouil Panagiotou, Eirini Ntoutsi
2025 A* conf
Fairness Evaluation with Item Response Theory.
WWW
Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi
2025 A conf
MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs.
CIKM
Swati, Arjun Roy, Emmanouil Panagiotou, Eirini Ntoutsi
2025 J jnl
MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs.
CoRR
Swati Swati, Arjun Roy, Emmanouil Panagiotou, Eirini Ntoutsi
2025 B conf
Mitigating Semantic Drift: Evaluating LLMs' Efficacy in Psychotherapy through MI Dialogue Summarization Leveraging MITI Code.
IJCNN
Vivek Kumar, Pushpraj Singh Rajawat, Eirini Ntoutsi
2025 J jnl
Mitigating Semantic Drift: Evaluating LLMs' Efficacy in Psychotherapy through MI Dialogue Summarization.
CoRR
Vivek Kumar, Pushpraj Singh Rajawat, Eirini Ntoutsi
2025 J jnl
TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees.
CoRR
Emmanouil Panagiotou, Benoît Ronval, Arjun Roy, Ludwig Bothmann, Bernd Bischl, Siegfried Nijssen, Eirini Ntoutsi
2025 A* conf
TabFairGDT: A Fast Fair Tabular Data Generator Using Autoregressive Decision Trees.
ICDM
Emmanouil Panagiotou, Benoît Ronval, Arjun Roy, Ludwig Bothmann, Bernd Bischl, Siegfried Nijssen, Eirini Ntoutsi
2024 J jnl
Adversarial Robustness of VAEs across Intersectional Subgroups.
CoRR
Chethan Krishnamurthy Ramanaik, Arjun Roy, Eirini Ntoutsi
2024 J jnl
Correction to: Studying bias in visual features through the lens of optimal transport.
Data Min. Knowl. Discov.
Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi
2024 J jnl
Effector: A Python package for regional explanations.
CoRR
Vasilis Gkolemis, Christos Diou, Eirini Ntoutsi, Theodore Dalamagas, Bernd Bischl, Julia Herbinger, Giuseppe Casalicchio
2024 J jnl
Emerging Security Challenges of Large Language Models.
CoRR
Hervé Debar, Sven Dietrich, Pavel Laskov, Emil C. Lupu, Eirini Ntoutsi
2024 J jnl
Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb.
CoRR
Swati Swati, Arjun Roy, Eirini Ntoutsi
2024 — conf
Exploring Fusion Techniques in Multimodal Ai-based Recruitment: Insights From Faircvdb.
EWAF
Swati, Arjun Roy, Eirini Ntoutsi
2024 B conf
FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning.
IJCNN
Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi
2024 J jnl
Fairness Evaluation with Item Response Theory.
CoRR
Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi
2024 — conf
Fast and Accurate Regional Effect Plots for Automated Tabular Data Analysis.
VLDB Workshops
Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part I
ECML/PKDD (1)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part II
ECML/PKDD (2)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part III
ECML/PKDD (3)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part IV
ECML/PKDD (4)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V
ECML/PKDD (5)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VI
ECML/PKDD (6)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VII
ECML/PKDD (7)
Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite
2024 — ed.
Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VIII
ECML/PKDD (8)
Albert Bifet, Povilas Daniusis, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Kai Puolamäki, Indre Zliobaite
2024 J jnl
Shape error prediction in 5-axis machining using graph neural networks.
CoRR
Julia Huuk, Abheek Dhingra, Eirini Ntoutsi, Berend Denkena
2024 J jnl
Studying bias in visual features through the lens of optimal transport.
Data Min. Knowl. Discov.
Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi
2024 B conf
Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure.
FG
Alaa Elobaid, Nathan Ramoly, Lara Younes, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
2024 J jnl
Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure.
CoRR
Alaa Elobaid, Nathan Ramoly, Lara Younes, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
2024 J jnl
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study.
CoRR
Emmanouil Panagiotou, Arjun Roy, Eirini Ntoutsi
2024 — conf
TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE.
ICAIF
Emmanouil Panagiotou, Manuel Heurich, Tim Landgraf, Eirini Ntoutsi
2024 J jnl
TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE.
CoRR
Emmanouil Panagiotou, Manuel Heurich, Tim Landgraf, Eirini Ntoutsi
2024 — conf
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering.
PAKDD (1)
Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi
2024 J jnl
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering.
CoRR
Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi
2024 B conf
Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-Based Editing.
DSAA
Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder
2024 J jnl
Transparent Neighborhood Approximation for Text Classifier Explanation.
CoRR
Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder
2024 J jnl
Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health.
CoRR
Vivek Kumar, Eirini Ntoutsi, Pushpraj Singh Rajawat, Giacomo Medda, Diego Reforgiato Recupero
2023 J jnl
A review of clustering models in educational data science towards fairness-aware learning.
CoRR
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
2023 J jnl
AdaCC: cumulative cost-sensitive boosting for imbalanced classification.
Knowl. Inf. Syst.
Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi
2023 — conf
Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy.
EWAF
Siamak Ghodsi, Eirini Ntoutsi
2023 J jnl
Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy.
CoRR
Siamak Ghodsi, Eirini Ntoutsi
2023 J jnl
Explaining text classifiers through progressive neighborhood approximation with realistic samples.
CoRR
Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder
2023 J jnl
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning.
CoRR
Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi
2023 — conf
Keynote Speech 2: Bias and Discrimination in AI Systems: From Single-Identity Dimensions to Multi-Discrimination.
MCNA
Eirini Ntoutsi
2023 — conf
Learning Impartial Policies for Sequential Counterfactual Explanations Using Deep Reinforcement Learning.
PKDD/ECML Workshops (1)
Emmanouil Panagiotou, Eirini Ntoutsi
2023 J jnl
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning.
CoRR
Emmanouil Panagiotou, Eirini Ntoutsi
2023 — conf
Multi-dimensional Discrimination in Law and Machine Learning - A Comparative Overview.
FAccT
Arjun Roy, Jan Horstmann, Eirini Ntoutsi
2023 J jnl
Multi-dimensional discrimination in Law and Machine Learning - A comparative overview.
CoRR
Arjun Roy, Jan Horstmann, Eirini Ntoutsi
2023 — conf
Multi-fair Capacitated Students-Topics Grouping Problem.
PAKDD (1)
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
2023 A conf
RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects.
ECAI
Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
2023 J jnl
RHALE: Robust and Heterogeneity-aware Accumulated Local Effects.
CoRR
Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
2023 — conf
Regionally Additive Models: Explainable-by-Design Models Minimizing Feature Interactions.
PKDD/ECML Workshops (2)
Vasilis Gkolemis, Anargiros Tzerefos, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
2023 J jnl
Regionally Additive Models: Explainable-by-design models minimizing feature interactions.
CoRR
Vasilis Gkolemis, Anargiros Tzerefos, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
2022 J jnl
A survey on bias in visual datasets.
Comput. Vis. Image Underst.
Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
2022 J jnl
A survey on datasets for fairness-aware machine learning.
WIREs Data Mining Knowl. Discov.
Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
2022 J jnl
AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification.
CoRR
Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi
2022 J jnl
Attention Mechanism based Cognition-level Scene Understanding.
CoRR
Xuejiao Tang, Tai Le Quy, Eirini Ntoutsi, Kea Turner, Vasile Palade, Israat Haque, Peng Xu, Chris Brown, Wenbin Zhang
2022 J jnl
Context matters for fairness - a case study on the effect of spatial distribution shifts.
CoRR
Siamak Ghodsi, Harith Alani, Eirini Ntoutsi
2022 — conf
Evaluation of Group Fairness Measures in Student Performance Prediction Problems.
PKDD/ECML Workshops (1)
Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi
2022 J jnl
Evaluation of group fairness measures in student performance prediction problems.
CoRR
Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi
2022 — conf
Learning to Teach Fairness-Aware Deep Multi-task Learning.
ECML/PKDD (1)
Arjun Roy, Eirini Ntoutsi
2022 J jnl
Learning to Teach Fairness-aware Deep Multi-task Learning.
CoRR
Arjun Roy, Eirini Ntoutsi
2022 B conf
Multi-fairness Under Class-Imbalance.
DS
Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
2022 J jnl
Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem.
CoRR
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
2022 J jnl
Parity-based Cumulative Fairness-aware Boosting.
CoRR
Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi
2022 J jnl
Parity-based cumulative fairness-aware boosting.
Knowl. Inf. Syst.
Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi
2022 B conf
Power of Explanations: Towards automatic debiasing in hate speech detection.
DSAA
Yi Cai, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi
2022 J jnl
Power of Explanations: Towards automatic debiasing in hate speech detection.
CoRR
Yi Cai, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi
2021 J jnl
A Survey on Bias in Visual Datasets.
CoRR
Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Ioannis Kompatsiaris
2021 J jnl
A survey on datasets for fairness-aware machine learning.
CoRR
Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
2021 — conf
Consequence-Aware Sequential Counterfactual Generation.
ECML/PKDD (2)
Philip Naumann, Eirini Ntoutsi
2021 J jnl
Consequence-aware Sequential Counterfactual Generation.
CoRR
Philip Naumann, Eirini Ntoutsi
2021 J jnl
Data augmentation for dealing with low sampling rates in NILM.
CoRR
Tai Le Quy, Sergej Zerr, Eirini Ntoutsi, Wolfgang Nejdl
2021 B conf
Fair-Capacitated Clustering.
EDM
Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
2021 J jnl
Fair-Capacitated Clustering.
CoRR
Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
2021 — conf
Interpretable Visual Understanding with Cognitive Attention Network.
ICANN (1)
Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
2021 J jnl
Interpretable Visual Understanding with Cognitive Attention Network.
CoRR
Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
2021 J jnl
Introduction to The Special Section on Bias and Fairness in AI.
SIGKDD Explor.
Toon Calders, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Salvatore Ruggieri
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I
PKDD/ECML Workshops (1)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 — ed.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
PKDD/ECML Workshops (2)
Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021 J jnl
Multi-Fair Pareto Boosting.
CoRR
Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
2021 J jnl
Online Fairness-Aware Learning with Imbalanced Data Streams.
CoRR
Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
2021 B conf
Towards fair, explainable and actionable clustering for learning analytics.
EDM
Tai Le Quy, Eirini Ntoutsi
2021 J jnl
Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science (Dagstuhl Perspectives Workshop 18262).
Dagstuhl Manifestos
Bettina Berendt, Fabien Gandon, Susan Halford, Wendy Hall, Jim Hendler, Katharina E. Kinder-Kurlanda, Eirini Ntoutsi, Steffen Staab
2021 B conf
XPROAX-Local explanations for text classification with progressive neighborhood approximation.
DSAA
Yi Cai, Arthur Zimek, Eirini Ntoutsi
2021 J jnl
XPROAX-Local explanations for text classification with progressive neighborhood approximation.
CoRR
Yi Cai, Arthur Zimek, Eirini Ntoutsi
2020 J jnl
Active feature acquisition on data streams under feature drift.
Ann. des Télécommunications
Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, Myra Spiliopoulou
2020 — conf
Bias in AI-systems: A multi-step approach.
NL4XAI@INGL
Eirini Ntoutsi
2020 J jnl
Bias in Data-driven AI Systems - An Introductory Survey.
CoRR
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
2020 J jnl
Bias in data-driven artificial intelligence systems - An introductory survey.
WIREs Data Mining Knowl. Discov.
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
2020 J jnl
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning.
Big Data
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020 J jnl
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning.
Big Data
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020 J jnl
Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning.
Big Data
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2020 — conf
Drift-Aware Multi-Memory Model for Imbalanced Data Streams.
IEEE BigData
Amir Abolfazli, Eirini Ntoutsi
2020 J jnl
Drift-Aware Multi-Memory Model for Imbalanced Data Streams.
CoRR
Amir Abolfazli, Eirini Ntoutsi
2020 — ed.
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings
PKDD/ECML Workshops
Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla
2020 J jnl
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity.
Int. J. Data Sci. Anal.
Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou
2020 B conf
FABBOO - Online Fairness-Aware Learning Under Class Imbalance.
DS
Vasileios Iosifidis, Eirini Ntoutsi
2020 J jnl
FAE: A Fairness-Aware Ensemble Framework.
CoRR
Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi
2020 B conf
FairNN - Conjoint Learning of Fair Representations for Fair Decisions.
DS
Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn
2020 J jnl
FairNN- Conjoint Learning of Fair Representations for Fair Decisions.
CoRR
Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn
2020 J jnl
Resource management for model learning at entity level.
Ann. des Télécommunications
Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, Myra Spiliopoulou
2020 J jnl
Sentiment analysis on big sparse data streams with limited labels.
Knowl. Inf. Syst.
Vasileios Iosifidis, Eirini Ntoutsi
2020 B conf
Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest.
COMPSAC
Bahman Askari, Tai Le Quy, Eirini Ntoutsi
2020 J jnl
Tracking the history and evolution of entities: entity-centric temporal analysis of large social media archives.
Int. J. Digit. Libr.
Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi
2019 — conf
1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019).
EDML@SDM
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2019 — conf
A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction.
MASTER@PKDD/ECML
Tai Le Quy, Wolfgang Nejdl, Myra Spiliopoulou, Eirini Ntoutsi
2019 A conf
AdaFair: Cumulative Fairness Adaptive Boosting.
CIKM
Vasileios Iosifidis, Eirini Ntoutsi
2019 J jnl
AdaFair: Cumulative Fairness Adaptive Boosting.
CoRR
Vasileios Iosifidis, Eirini Ntoutsi
2019 Misc conf
Exploiting entity information for stream classification over a stream of reviews.
SAC
Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, Myra Spiliopoulou
2019 — conf
FAE: A Fairness-Aware Ensemble Framework.
IEEE BigData
Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi
2019 A* conf
FAHT: An Adaptive Fairness-aware Decision Tree Classifier.
IJCAI
Wenbin Zhang, Eirini Ntoutsi
2019 J jnl
FAHT: An Adaptive Fairness-aware Decision Tree Classifier.
CoRR
Wenbin Zhang, Eirini Ntoutsi
2019 — conf
Fairness-Enhancing Interventions in Stream Classification.
DEXA (1)
Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi
2019 J jnl
Fairness-enhancing interventions in stream classification.
CoRR
Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi
2019 — ed.
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), Calgary, Alberta, Canada, May 4th, 2019.
EDML@SDM
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
2018 J jnl
10 Years of Web Science: Closing The Loop (Dagstuhl Perspectives Workshop 18262).
Dagstuhl Reports
Susan Halford, James A. Hendler, Eirini Ntoutsi, Steffen Staab
2018 J jnl
An evaluation of data stream clustering algorithms.
Stat. Anal. Data Min.
Stratos Mansalis, Eirini Ntoutsi, Nikos Pelekis, Yannis Theodoridis
2018 — conf
Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams.
WIMS
Damianos P. Melidis, Alvaro Veizaga Campero, Vasileios Iosifidis, Eirini Ntoutsi, Myra Spiliopoulou
2018 B conf
Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity.
DSAA
Christian Beyer, Vishnu Unnikrishnan, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou
2018 A conf
Learning under Feature Drifts in Textual Streams.
CIKM
Damianos P. Melidis, Myra Spiliopoulou, Eirini Ntoutsi
2018 Misc conf
Predicting polarities of entity-centered documents without reading their contents.
SAC
Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, Myra Spiliopoulou
2018 — conf
Reinforcement Learning Based Decision Tree Induction Over Data Streams with Concept Drifts.
ICBK
Christopher Blake, Eirini Ntoutsi
2018 — ch.
Social-Based Collaborative Filtering.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Kostas Stefanidis, Eirini Ntoutsi, Haridimos Kondylakis, Yannis Velegrakis
2018 J jnl
Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives.
CoRR
Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi
2018 B conf
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets.
ESWC
Pavlos Fafalios, Vasileios Iosifidis, Eirini Ntoutsi, Stefan Dietze
2018 J jnl
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets.
CoRR
Pavlos Fafalios, Vasileios Iosifidis, Eirini Ntoutsi, Stefan Dietze
2017 A* conf
Large Scale Sentiment Learning with Limited Labels.
KDD
Vasileios Iosifidis, Eirini Ntoutsi
2017 B conf
Multi-aspect Entity-Centric Analysis of Big Social Media Archives.
TPDL
Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi
2017 — ch.
Opinion Stream Mining.
Encyclopedia of Machine Learning and Data Mining
Myra Spiliopoulou, Eirini Ntoutsi, Max Zimmermann
2017 A conf
Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets.
SDM
Daniel Basaran, Eirini Ntoutsi, Arthur Zimek
2017 B conf
Sentiment Classification over Opinionated Data Streams Through Informed Model Adaptation.
TPDL
Vasileios Iosifidis, Annina Oelschlager, Eirini Ntoutsi
2016 — conf
Applying data mining methods for the analysis of stable isotope data in bioarchaeology.
eScience
Markus Mauder, Eirini Ntoutsi, Peer Kröger, Christoph Mayr, Gisela Grupe, Anita Toncala, Stefan Holzl
2016 B conf
Cluster-based Contextual Recommendations.
EDBT
Kostas Stefanidis, Eirini Ntoutsi
2016 J jnl
Extracting opinionated (sub)features from a stream of product reviews using accumulated novelty and internal re-organization.
Inf. Sci.
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
2016 — conf
GMMbuilder - User-Driven Discovery of Clustering Structure for Bioarchaeology.
ECML/PKDD (3)
Markus Mauder, Yulia Bobkova, Eirini Ntoutsi
2016 — conf
Recommendations beyond the ratings matrix.
DDI@WebSci
Eirini Ntoutsi, Kostas Stefanidis
2016 — conf
Scalable Online-Offline Stream Clustering in Apache Spark.
ICDM Workshops
Omar Backhoff, Eirini Ntoutsi
2015 — conf
Ageing-Based Multinomial Naive Bayes Classifiers Over Opinionated Data Streams.
ECML/PKDD (1)
Sebastian Wagner, Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
2015 B conf
Data mining for isotopic mapping of bioarchaeological finds in a central european alpine passage.
SSDBM
Markus Mauder, Eirini Ntoutsi, Peer Kröger, Gisela Grupe
2015 J jnl
Discovering and monitoring product features and the opinions on them with OPINSTREAM.
Neurocomputing
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
2015 J jnl
Incremental Active Opinion Learning Over a Stream of Opinionated Documents.
CoRR
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
2015 B conf
Online template matching over a stream of digitized documents.
SSDBM
Michael Stockerl, Christoph Ringlstetter, Matthias Schubert, Eirini Ntoutsi, Hans-Peter Kriegel
2015 — conf
Top-k computations in MapReduce: A case study on recommendations.
IEEE BigData
Vasilis Efthymiou, Kostas Stefanidis, Eirini Ntoutsi
2014 A conf
"Strength Lies in Differences": Diversifying Friends for Recommendations through Subspace Clustering.
CIKM
Eirini Ntoutsi, Kostas Stefanidis, Katharina Rausch, Hans-Peter Kriegel
2014 — conf
A Semi-Supervised Self-Adaptive Classifier over Opinionated Streams.
ICDM Workshops
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
2014 Misc conf
Adaptive semi supervised opinion classifier with forgetting mechanism.
SAC
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
2014 B conf
Exploring subspace clustering for recommendations.
SSDBM
Katharina Rausch, Eirini Ntoutsi, Kostas Stefanidis, Hans-Peter Kriegel
2013 J jnl
A Framework for Modeling, Computing and Presenting Time-Aware Recommendations.
Trans. Large Scale Data Knowl. Centered Syst.
Kostas Stefanidis, Eirini Ntoutsi, Mihalis Petropoulos, Kjetil Nørvåg, Hans-Peter Kriegel
2013 J jnl
Clustering high dimensional data: examining differences and commonalities between subspace clustering and text clustering - a position paper.
SIGKDD Explor.
Hans-Peter Kriegel, Eirini Ntoutsi
2013 B conf
Extracting Opinionated (Sub)Features from a Stream of Product Reviews.
Discovery Science
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
2013 — conf
MONIC and Followups on Modeling and Monitoring Cluster Transitions.
ECML/PKDD (3)
Myra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis, René Schult
2012 J jnl
FINGERPRINT: Summarizing Cluster Evolution in Dynamic Environments.
Int. J. Data Warehous. Min.
Eirini Ntoutsi, Myra Spiliopoulou, Yannis Theodoridis
2012 A conf
Fast Group Recommendations by Applying User Clustering.
ER
Eirini Ntoutsi, Kostas Stefanidis, Kjetil Nørvåg, Hans-Peter Kriegel
2012 B conf
Monitoring User Evolution in Twitter.
ASONAM
Claudia Lauschke, Eirini Ntoutsi
2008 — —
Ζητήματα ομοιότητας στην εξόρυξη γνώσης: Μεθοδολογίες και τεχνικές
Eirini Ntoutsi
2002 B conf
Interactive Verification of Game Design and Playing Strategies.
ICTAI
Dimitrios Kalles, Eirini Ntoutsi
2000 J jnl
Induction of decision trees in numeric domains using set-valued attributes.
Intell. Data Anal.
Dimitrios Kalles, Athanassios Papagelis, Eirini Ntoutsi