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Prof. Dr. Eirini Ntoutsi

Profile

Academic positionFull Professor
Research fieldsImage and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
Keywordsdata mining, data streams, high dimensional data, recommendations, opinionated streams

Current contact address

CountryGermany
CityNeubiberg
InstitutionUniversität der Bundeswehr München
InstituteInstitut für Datensicherheit

Host during sponsorship

Prof. Dr. Hans-Peter KriegelLehr- und Forschungseinheit Datenbanksysteme, Ludwig-Maximilians-Universität München (LMU), München
Start of initial sponsorship01/02/2010

Programme(s)

2008Humboldt Research Fellowship Programme for Postdocs

Publications (partial selection)

2025Hyrup, Tobias and Panagiotou, Emmanouil and Roy, Arjun and Zimek, Arthur and Ntoutsi, Eirini and Schneider-Kamp, Peter: Achieving Hilbert-Schmidt Independence Under R$\backslash$'enyi Differential Privacy for Fair and Private Data Generation. In: arXiv preprint arXiv:2508.21815, 2025,
2025Roy, Arjun and Rizou, Stavroula and Papadopoulos, Symeon and Ntoutsi, Eirini: Achieving Socio-Economic Parity through the Lens of EU AI Act. Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency. 2025. 1890--1901
2025Papanikou, Vasiliki and Karidi, Danae Pla and Pitoura, Evaggelia and Panagiotou, Emmanouil and Ntoutsi, Eirini: Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration. In: arXiv preprint arXiv:2505.00802, 2025,
2025Xu, Ziqi and Kandanaarachchi, Sevvandi and Ong, Cheng Soon and Ntoutsi, Eirini: Fairness evaluation with item response theory. Proceedings of the ACM on Web Conference 2025. 2025. 2276--2288
2025Ramanaik, Chethan Krishnamurthy and Roy, Arjun and Callies, Tobias and Ntoutsi, Eirini: GRILL: Gradient Signal Restoration in Ill-Conditioned Layers to Enhance Adversarial Attacks on Autoencoders. In: arXiv preprint arXiv:2505.03646, 2025,
2025Panagiotou, Emmanouil and Qian, Han and Marx, Steffen and Ntoutsi, Eirini: Generative AI-augmented offshore jacket design: Integrated approach for mixed tabular data generation under scarcity and imbalance. In: Automation in Construction, 177, 2025, 106287
2025Swati, Swati and Roy, Arjun and Panagiotou, Emmanouil and Ntoutsi, Eirini: MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs. In: arXiv preprint arXiv:2509.08156, 2025,
2025Panagiotou, Emmanouil and Ronval, Beno{\^\i}t and Roy, Arjun and Bothmann, Ludwig and Bischl, Bernd and Nijssen, Siegfried and Ntoutsi, Eirini: TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees. In: arXiv preprint arXiv:2509.19927, 2025,
2024Qian, Han and Panagiotou, Emmanouil and Peng, Mengyan and Ntoutsi, Eirini and Kang, Chongjie and Marx, Steffen: A novel dataset and feature selection for data-driven conceptual design of offshore jacket substructures. In: Ocean Engineering, 303, 2024, 117679
2024Ramanaik, Chethan Krishnamurthy and Roy, Arjun and Ntoutsi, Eirini: Adversarial Robustness of VAEs across Intersectional Subgroups. In: arXiv preprint arXiv:2407.03864, 2024,
2024Bifet, Albert and Daniu{\v{s}}is, Povilas and Davis, Jesse and Krilavi{\v{c}}ius, Tomas and Kull, Meelis and Ntoutsi, Eirini and Puolamäki, Kai and {\v{Z}}liobait{\.e}, Indr{\.e}: Correction to: Machine Learning and Knowledge Discovery in Databases. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2024. C1--C2
2024Gkolemis, Vasilis and Diou, Christos and Ntoutsi, Eirini and Dalamagas, Theodore and Bischl, Bernd and Herbinger, Julia and Casalicchio, Giuseppe: Effector: A Python package for regional explanations. In: arXiv preprint arXiv:2404.02629, 2024,
2024Debar, Herve and Dietrich, Sven and Laskov, Pavel and Lupu, Emil C and Ntoutsi, Eirini: Emerging security challenges of large language models. In: arXiv preprint arXiv:2412.17614, 2024,
2024Swati, Swati and Roy, Arjun and Ntoutsi, Eirini: Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb. Third European Workshop on Algorithmic Fairness (EWAF'24). 2024.
2024Roy, Arjun and Ntoutsi, Eirini and others: Exploring Fusion Techniques in Multimodal Ai-based Recruitment: Insights From Faircvdb. EWAF. 2024.
2024Roy, Arjun and Koutlis, Christos and Papadopoulos, Symeon and Ntoutsi, Eirini: FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning. 2024 International Joint Conference on Neural Networks (IJCNN). 2024. 1--8
2024Gkolemis, Vasilis and Dalamagas, Theodore and Ntoutsi, Eirini and Diou, Christos: Fast and Accurate Regional Effect Plots for Automated Tabular Data Analysis. In: Proceedings of the VLDB Endowment. ISSN, 2150, 2024, 8097
2024Huuk, Julia and Dhingra, Abheek and Ntoutsi, Eirini and Denkena, Berend: Shape error prediction in 5-axis machining using graph neural networks. In: arXiv preprint arXiv:2412.10341, 2024,
2024Fabbrizzi, Simone and Zhao, Xuan and Krasanakis, Emmanouil and Papadopoulos, Symeon and Ntoutsi, Eirini: Studying bias in visual features through the lens of optimal transport. In: Data Mining and Knowledge Discovery, 38, 2024, 281--312
2024Elobaid, Alaa and Ramoly, Nathan and Younes, Lara and Papadopoulos, Symeon and Ntoutsi, Eirini and Kompatsiaris, Ioannis: Sum of group error differences: A critical examination of bias evaluation in biometric verification and a dual-metric measure. 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG). 2024. 1--9
2024Panagiotou, Emmanouil and Roy, Arjun and Ntoutsi, Eirini: Synthetic tabular data generation for class imbalance and fairness: A comparative study. In: arXiv preprint arXiv:2409.05215, 2024,
2024Panagiotou, Emmanouil and Heurich, Manuel and Landgraf, Tim and Ntoutsi, Eirini: Tabcf: Counterfactual explanations for tabular data using a transformer-based vae. Proceedings of the 5th ACM International Conference on AI in Finance. 2024. 274--282
2024Ghodsi, Siamak and Seyedi, Seyed Amjad and Ntoutsi, Eirini: Towards cohesion-fairness harmony: Contrastive regularization in individual fair graph clustering. Pacific-Asia Conference on Knowledge Discovery and Data Mining. 2024. 284--296
2024Cai, Yi and Zimek, Arthur and Ntoutsi, Eirini and Wunder, Gerhard: Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-Based Editing. 2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA). 2024. 1--10
2024Kumar, Vivek and Rajwat, Pushpraj Singh and Medda, Giacomo and Ntoutsi, Eirini and Recupero, Diego Reforgiato: Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health and Therapeutic Counselling. Proceedings of the First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security. 2024. 238--251
2023Quy, Tai Le and Friege, Gunnar and Ntoutsi, Eirini: A review of clustering models in educational data science towards fairness-aware learning. Pe{\~n}a-Ayala, A. (eds) Educational Data Science: Essentials, Approaches, and Tendencies. Big Data Management. Springer, Singapore, 2023.
2023Iosifidis, Vasileios and Papadopoulos, Symeon and Rosenhahn, Bodo and Ntoutsi, Eirini: AdaCC: cumulative cost-sensitive boosting for imbalanced classification. In: Knowledge and Information Systems, 65, 2023, 789--826
2023Ghodsi, Siamak and Ntoutsi, Eirini: Affinity clustering framework for data debiasing using pairwise distribution discrepancy. In: arXiv preprint arXiv:2306.01699, 2023,
2023Qian, Han and Panagiotou, Emmanouil and Marx, Steffen and Ntoutsi, Eirini: Data-based conceptual design of offshore jackets using a self-developed database. ISOPE International Ocean and Polar Engineering Conference. 2023. ISOPE--I
2023Panagiotou, Emmanouil and Qian, Han and Wynants, Mareile and Kriese, Anton and Marx, Steffen and Ntoutsi, Eirini: Explainable AI-based generation of offshore substructure designs. ISOPE International Ocean and Polar Engineering Conference. 2023. ISOPE--I
2023Cai, Yi and Zimek, Arthur and Ntoutsi, Eirini and Wunder, Gerhard: Explaining text classifiers through progressive neighborhood approximation with realistic samples. In: arXiv preprint arXiv:2302.07733, 2023,
2023Roy, Arjun and Koutlis, Christos and Papadopoulos, Symeon and Ntoutsi, Eirini: FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning.. In: CoRR, 2023,
2023Ntoutsi, Eirini: Keynote Speech 2: Bias and Discrimination in AI Systems: From Single-Identity Dimensions to Multi-Discrimination. 2023 International Conference on Multimedia Computing, Networking and Applications (MCNA). 2023. 2--2
2023Panagiotou, Emmanouil and Ntoutsi, Eirini: Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2023. 350--358
2023Roy, Arjun and Horstmann, Jan and Ntoutsi, Eirini: Multi-dimensional discrimination in law and machine learning-A comparative overview. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency. 2023. 89--100
2023Le Quy, Tai and Friege, Gunnar and Ntoutsi, Eirini: Multi-fair capacitated students-topics grouping problem. Pacific-Asia Conference on Knowledge Discovery and Data Mining. 2023. 507--519
2023Gkolemis, Vasilis and Dalamagas, Theodore and Ntoutsi, Eirini and Diou, Christos: RHALE: robust and heterogeneity-aware accumulated local effects. In: arXiv preprint arXiv:2309.11193, 2023,
2023Gkolemis, Vasilis and Tzerefos, Anargiros and Dalamagas, Theodore and Ntoutsi, Eirini and Diou, Christos: Regionally Additive Models: Explainable-by-design models minimizing feature interactions. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2023. 433--447
2022Fabbrizzi, Simone and Papadopoulos, Symeon and Ntoutsi, Eirini and Kompatsiaris, Ioannis: A survey on bias in visual datasets. In: Computer Vision and Image Understanding, 223, 2022, 103552
2022Le Quy, Tai and Roy, Arjun and Iosifidis, Vasileios and Zhang, Wenbin and Ntoutsi, Eirini: A survey on datasets for fairness-aware machine learning. In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 12, 2022, e1452
2022Le Quy, Tai and Nguyen, Thi Huyen and Friege, Gunnar and Ntoutsi, Eirini: Evaluation of group fairness measures in student performance prediction problems. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2022. 119--136
2022Roy, Arjun and Ntoutsi, Eirini: Learning to teach fairness-aware deep multi-task learning. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2022. 710--726
2022Roy, Arjun and Iosifidis, Vasileios and Ntoutsi, Eirini: Multi-fairness under class-imbalance. International Conference on Discovery Science. 2022. 286--301
2022Quy, Tai Le and Friege, Gunnar and Ntoutsi, Eirini: Multiple fairness and cardinality constraints for students-topics grouping problem. In: arXiv preprint arXiv:2206.09895, 2022,
2022Iosifidis, Vasileios and Roy, Arjun and Ntoutsi, Eirini: Parity-based cumulative fairness-aware boosting. In: Knowledge and Information Systems, 64, 2022, 2737--2770
2022Cai, Yi and Zimek, Arthur and Wunder, Gerhard and Ntoutsi, Eirini: Power of explanations: Towards automatic debiasing in hate speech detection. 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA). 2022. 1--10
2021Naumann, Philip and Ntoutsi, Eirini: Consequence-aware sequential counterfactual generation. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2021. 682--698
2021Berendt, Bettina and Gandon, Fabien and Halford, Susan and Hall, Wendy and Hendler, Jim and Kinder-Kurlanda, Katharina E and Ntoutsi, Eirini and Staab, Steffen and Bernstein, Abraham and de Vreese, Claes and others: Dagstuhl Reports, Vol. 9, Issue 1 ISSN 2193-2433. 2021,
2021Quy, Tai Le and Zerr, Sergej and Ntoutsi, Eirini and Nejdl, Wolfgang: Data augmentation for dealing with low sampling rates in NILM. In: arXiv preprint arXiv:2104.02055, 2021,
2021Quy, Tai Le and Roy, Arjun and Friege, Gunnar and Ntoutsi, Eirini: Fair-capacitated clustering. In: arXiv preprint arXiv:2104.12116, 2021,
2021Turner, Kea and Yu, Yi and Zhang, Wenbin and Wang, Mengyu and Derr, Tyler and Tang, Xuejiao and Ntoutsi, Eirini: Interpretable Visual Understanding with Cognitive Attention Network. In: (No Title), 2021,
2021Tang, Xuejiao and Zhang, Wenbin and Yu, Yi and Turner, Kea and Derr, Tyler and Wang, Mengyu and Ntoutsi, Eirini: Interpretable visual understanding with cognitive attention network. International Conference on Artificial Neural Networks. 2021. 555--568
2021Calders, Toon and Ntoutsi, Eirini and Pechenizkiy, Mykola and Rosenhahn, Bodo and Ruggieri, Salvatore: Introduction to the special section on bias and fairness in AI. In: ACM SIGKDD Explorations Newsletter, 23, 2021, 1--3
2021Roy, Arjun and Iosifidis, Vasileios and Ntoutsi, Eirini: Multi-fair pareto boosting. In: arXiv preprint arXiv:2104.13312, 2021,
2021Ntoutsi, Eirini: Multi-fairness under class-imbalance. In: arXiv preprint arXiv:2104.13312, 2021,
2021Iosifidis, Vasileios and Zhang, Wenbin and Ntoutsi, Eirini: Online fairness-aware learning with imbalanced data streams. In: arXiv preprint arXiv:2108.06231, 2021,
2021Le Quy, Tai and Ntoutsi, Eirini: Towards fair, explainable and actionable clustering for learning analytics.. EDM. 2021.
2021Berendt, Bettina and Gandon, Fabien and Halford, Susan and Hall, Wendy and Hendler, James A and Kinder-Kurlanda, Katharina E and Ntoutsi, Eirini and Staab, Steffen: Web futures: inclusive, intelligent, sustainable the 2020 manifesto for web science. 2021,
2021Cai, Yi and Zimek, Arthur and Ntoutsi, Eirini: XPROAX-local explanations for text classification with progressive neighborhood approximation. 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA). 2021. 1--10
2020Iosifidis, Vasileios and Ntoutsi, Eirini: -Online Fairness-Aware Learning Under Class Imbalance. International Conference on Discovery Science. 2020. 159--174
2020Beyer, Christian and Büttner, Maik and Unnikrishnan, Vishnu and Schleicher, Miro and Ntoutsi, Eirini and Spiliopoulou, Myra: Active feature acquisition on data streams under feature drift. In: Annals of Telecommunications, 75, 2020, 597--611
2020Ntoutsi, Eirini: Bias in AI-systems: a multi-step approach. 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence. 2020. 3--4
2020Ntoutsi, Eirini and Schubert, Erich and Zimek, Arthur and Zimmermann, Albrecht: Call for Special Issue Papers: Evaluation and Experimental Design in Data Mining and Machine Learning: Deadline for Manuscript Submission: February 1, 2021. In: Big data, 8, 2020, 546--547
2020Abolfazli, Amir and Ntoutsi, Eirini: Drift-Aware Multi-Memory Model for Imbalanced Data Streams. IEEE International Conference on Big Data (Big Data). 2020. 878--885
2020Unnikrishnan, Vishnu and Beyer, Christian and Matuszyk, Pawel and Niemann, Uli and Pryss, Rüdiger and Schlee, Winfried and Ntoutsi, Eirini and Spiliopoulou, Myra: Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. In: International Journal of Data Science and Analytics, 9, 2020, 1--15
2020Hu, Tongxin and Iosifidis, Vasileios and Liao, Wentong and Zhang, Hang and Yang, Michael Ying and Ntoutsi, Eirini and Rosenhahn, Bodo: Fairnn-conjoint learning of fair representations for fair decisions. International Conference on Discovery Science. 2020. 581--595
2020Beyer, Christian and Unnikrishnan, Vishnu and Brüggemann, Robert and Toulouse, Vincent and Omar, Hafez Kader and Ntoutsi, Eirini and Spiliopoulou, Myra: Resource management for model learning at entity level. In: Annals of Telecommunications, 75, 2020, 549--561
2020Iosifidis, Vasileios and Ntoutsi, Eirini: Sentiment analysis on big sparse data streams with limited labels. In: Knowledge and Information Systems, 62, 2020, 1393--1432
2020Askari, Bahman and Le Quy, Tai and Ntoutsi, Eirini: Taxi demand prediction using an LSTM-based deep sequence model and points of interest. 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). 2020. 1719--1724
2020Fafalios, Pavlos and Iosifidis, Vasileios and Stefanidis, Kostas and Ntoutsi, Eirini: Tracking the history and evolution of entities: entity-centric temporal analysis of large social media archives. In: International Journal on Digital Libraries, 21, 2020, 5--17
2019Halford, Susan and Hendler, James A and Ntoutsi, Eirini and Staab, Steffen: 10 Years of Web Science: Closing The Loop (Dagstuhl Perspectives Workshop 18262). In: Dagstuhl Reports, 8, 2019, 173--198
2019Ntoutsi, Eirini and Schubert, Erich and Zimek, Arthur and Zimmermann, Albrecht: 1st workshop on evaluation and experimental design in data mining and machine learning (EDML 2019). EDML@ SDM. 2019.
2019Quy, Tai Le and Nejdl, Wolfgang and Spiliopoulou, Myra and Ntoutsi, Eirini: A neighborhood-augmented LSTM model for taxi-passenger demand prediction. International Workshop on Multiple-Aspect Analysis of Semantic Trajectories. 2019. 100--116
2019Shivakumaraswamy, Ranjith and Beyer, Christian and Unnikrishnan, Vishnu and Ntoutsi, Eirini and Spiliopoulou, Myra: Active feature acquisition for opinion stream classification under drift. CEUR workshop proceedings; 2444. 2019. 108--111
2019Iosifidis, Vasileios and Ntoutsi, Eirini: AdaFair: Cumulative fairness adaptive boosting. Proceedings of the 28th ACM International Conference on Information and Knowledge Management. 2019. 781--790
2019Ntoutsi, Eirini and Schubert, Erich and Zimek, Arthur and Zimmermann, Albrecht: Evaluation and experimental design in data mining and machine learning: Motivation and summary of edml 2019. 2019,
2019Beyer, Christian and Unnikrishnan, Vishnu and Niemann, Uli and Matuszyk, Pawel and Ntoutsi, Eirini and Spiliopoulou, Myra: Exploiting entity information for stream classification over a stream of reviews. Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. 2019. 564--573
2019Iosifidis, Vasileios and Fetahu, Besnik and Ntoutsi, Eirini: FAE: A fairness-aware ensemble framework. 2019 IEEE International Conference on Big Data (Big Data). 2019. 1375--1380
2019Zhang, Wenbin and Ntoutsi, Eirini: FAHT: An adaptive fairness-aware decision tree classifier. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. 2019. 1480--1486
2019Iosifidis, Vasileios and Tran, Thi Ngoc Han and Ntoutsi, Eirini: Fairness-enhancing interventions in stream classification. International conference on database and expert systems applications. 2019. 261--276
2019Mauder, M and Ntoutsi, E and Kröger, P and Mayr, C and Toncala, A and Hölzl, S and Grupe, G: Significance and limitations of stable oxygen isotope ratios in the apatite phosphate of archaeological vertebrate finds for provenance analysis in an Alpine reference region. In: Archaeometry, 61, 2019, 194--210
2018Halford, Susan and Hendler, J and Ntoutsi, Eirini and Staab, Steffen: 10 Years of Web Science: Closing The Loop. Report from Dagstuhl Perspectives Workshop. 2018.
2018Mansalis, Stratos and Ntoutsi, Eirini and Pelekis, Nikos and Theodoridis, Yannis: An evaluation of data stream clustering algorithms. In: Statistical Analysis and Data Mining: The ASA Data Science Journal, 11, 2018, 167--187
2018Iosifidis, Vasileios and Ntoutsi, Eirini: Dealing with bias via data augmentation in supervised learning scenarios. In: Jo Bates Paul D. Clough Robert Jäschke, 24, 2018,
2018Melidis, Damianos P and Campero, Alvaro Veizaga and Iosifidis, Vasileios and Ntoutsi, Eirini and Spiliopoulou, Myra: Enriching lexicons with ephemeral words for sentiment analysis in social streams. Proceedings of the 8th international conference on web intelligence, mining and semantics. 2018. 1--8
2018Melidis, Damianos P and Spiliopoulou, Myra and Ntoutsi, Eirini: Learning under feature drifts in textual streams. Proceedings of the 27th ACM International Conference on Information and Knowledge Management. 2018. 527--536
2018Beyer, Christian and Niemann, Uli and Unnikrishnan, Vishnu and Ntoutsi, Eirini and Spiliopoulou, Myra: Predicting polarities of entity-centered documents without reading their contents. Proceedings of the 33rd Annual ACM Symposium on Applied Computing. 2018. 525--528
2018Blake, Christopher and Ntoutsi, Eirini: Reinforcement learning based decision tree induction over data streams with concept drifts. 2018 IEEE International Conference on Big Knowledge (ICBK). 2018. 328--335
2018Fafalios, Pavlos and Iosifidis, Vasileios and Ntoutsi, Eirini and Dietze, Stefan: Tweetskb: A public and large-scale rdf corpus of annotated tweets. European Semantic Web Conference. 2018. 177--190
2018Berendt, Bettina and Ntoutsi, Eirini and Pitoura, Evaggelia and Staab, Steffen and Tamburrini, Guglielmo and Troullinou, Pinelopi: Working Group on Values. In: Dagstuhl Reports, 2018,
2017Amit, Amit and Ntoutsi, Eirini and Nejdl, Wolfgang and Risse, Thomas: Anomaly Detection in Data Streams. 2017,
2017Grupe, GISELA and Hölzl, STEFAN and Kocsis, BALAZS and Kröger, PEER and Mauder, MARKUS and Mayr, CHRISTOPH and NTOUTSI, EIRINI and SCHMAHL, WOLFGANG and SÖLLNER, ANITA TONCALA and WYCISK, DOMINIKA: Isotopic mapping and migration research based on bioarchaeological finds. In: ResourceCultures: Sociocultural Dynamics and the Use of Resources--Theories, Methods, and Perspectives, eds A. Scholz, M. Bartleheim, R. Hardenberg, and J. Staecker (Tübingen: University of Tübingen), 2017, 195--208
2017Iosifidis, Vasileios and Ntoutsi, Eirini: Large scale sentiment learning with limited labels. Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. 2017. 1823--1832
2017Fafalios, Pavlos and Iosifidis, Vasileios and Stefanidis, Kostas and Ntoutsi, Eirini: Multi-aspect entity-centric analysis of big social media archives. International Conference on Theory and Practice of Digital Libraries. 2017. 261--273
2017Spiliopoulou, Myra and Ntoutsi, Eirini and Zimmermann, Max: Opinion stream mining. Encyclopedia of machine learning and data mining. Springer, Boston, MA, 2017. 938--947
2017Basaran, Daniel and Ntoutsi, Eirini and Zimek, Arthur: 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. 390--398
2017Iosifidis, Vasileios and Oelschlager, Annina and Ntoutsi, Eirini: Sentiment classification over opinionated data streams through informed model adaptation. International conference on theory and practice of digital libraries. 2017. 369--381
2017Stefanidis, Kostas and Ntoutsi, Eirini and Kondylakis, Haridimos and Velegrakis, Yannis: Social-based collaborative filtering. Encyclopedia of social network analysis and mining. Springer, New York, NY, 2017. 1--9
2017Mauder, Markus and Ntoutsi, Eirini and Kröger, Peer and Kriegel, Hans-Peter: The isotopic fingerprint: New methods of data mining and similarity search. Across the Alps in prehistory: Isotopic mapping of the Brenner passage by bioarchaeology. Springer International Publishing Cham, 2017. 105--125
2016Mauder, Markus and Ntoutsi, Eirini and Kröger, Peer and Mayr, Christoph and Grupe, Gisela and Toncala, Anita and Hölzl, Stefan: Applying data mining methods for the analysis of stable isotope data in bioarchaeology. 2016 IEEE 12th International Conference on e-Science (e-Science). 2016. 233--242
2016Stefanidis, Kostas and Ntoutsi, Eirini: Cluster-based contextual recommendations. In: Advances in Database Technology-EDBT 2016-March (2016), Nr. März, 2016, 2016, 712--713
2016Zimmermann, Max and Ntoutsi, Eirini and Spiliopoulou, Myra: Extracting opinionated (sub) features from a stream of product reviews using accumulated novelty and internal re-organization. In: Information Sciences, 329, 2016, 876--899
2016Mauder, Markus and Bobkova, Yulia and Ntoutsi, Eirini: GMMbuilder--User-driven discovery of clustering structure for bioarchaeology. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2016. 8--11
2016Spiliopoulou, Myra and Ntoutsi, Eirini and Zimmermann, Max: Opinion stream mining. Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA, 2016. 1--10
2016Ntoutsi, Eirini and Stefanidis, Kostas: Recommendations beyond the ratings matrix. Proceedings of the Workshop on Data-Driven Innovation on the Web. 2016. 1--5
2016Backhoff, Omar and Ntoutsi, Eirini: Scalable online-offline stream clustering in apache spark. 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW). 2016. 37--44
2016Mauder, Markus and Ntoutsi, Eirini and Kröger, Peer and Kriegel, Hans-Peter: Towards predicting places of origin from isotopic fingerprints: A case study on the mobility of people in the central European Alps. In: Isotopic Landscapes in Bioarchaeology. Berlin, Heidelberg: Springer, 2016, 221--233
2015Wagner, Sebastian and Zimmermann, Max and Ntoutsi, Eirini and Spiliopoulou, Myra: Ageing-based multinomial naive bayes classifiers over opinionated data streams. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2015. 401--416
2015Mauder, Markus and Ntoutsi, Eirini and Kröger, Peer and Grupe, Gisela: 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. 1--6
2015Zimmermann, Max and Ntoutsi, Eirini and Spiliopoulou, Myra: Discovering and monitoring product features and the opinions on them with OPINSTREAM. In: Neurocomputing, 150, 2015, 318--330
2015Zimmermann, Max and Ntoutsi, Eirini and Spiliopoulou, Myra: Incremental active opinion learning over a stream of opinionated documents. In: arXiv preprint arXiv:1509.01288, 2015,
2015Grünewald, Martin and Grupe, Gisela and Gschwind, Markus and Hölzl, Stefan and Kocsis, Balazs and Kröger, Peer and Lang, Amei and Mauder, Markus and Mayr, Christoph and McGlynn, George C and others: Networking in bioarchaeology: the example of the DFG Research group FOR 1670 transalpine mobility and culture transfer. 2015,
2015Grupe, Gisela and Grünewald, Martin and Gschwind, Markus and Hölzl, Stefan and Kocsis, Balazs and Kröger, Peer and Lang, Amei and Mauder, Markus and Mayr, Christoph and McGlynn, George C and others: Networking in bioarchaeology: the example of the DFG research group for 1670 “transalpine mobility and culture transfer”. In: Documenta Archaeobiologiae, 12, 2015, 13--51
2015Stockerl, Michael and Ringlstetter, Christoph and Schubert, Matthias and Ntoutsi, Eirini and Kriegel, Hans-Peter: Online template matching over a stream of digitized documents. Proceedings of the 27th International Conference on Scientific and Statistical Database Management. 2015. 1--12
2015Efthymiou, Vasilis and Stefanidis, Kostas and Ntoutsi, Eirini: Top-k computations in mapreduce: A case study on recommendations. 2015 IEEE International Conference on Big Data (Big Data). 2015. 2820--2822
2014Ntoutsi, Eirini and Stefanidis, Kostas and Rausch, Katharina and Kriegel, Hans-Peter: " 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. 729--738
2014Zimmerann, Max and Ntoutsi, Eirini and Spiliopoulou, Myra: A semi-supervised self-adaptive classifier over opinionated streams. 2014 IEEE international conference on data mining workshop. 2014. 425--432
2014Zimmermann, Max and Ntoutsi, Eirini and Spiliopoulou, Myra: Adaptive semi supervised opinion classifier with forgetting mechanism. Proceedings of the 29th Annual ACM Symposium on Applied Computing. 2014. 805--812
2014Kriegel, Hans-Peter and Ntoutsi, Eirini: Clustering high dimensional data: Examining differences and commonalities between subspace clustering and text clustering-A position paper. In: ACM SIGKDD Explorations Newsletter, 15, 2014, 1--8
2014Rausch, Katharina and Ntoutsi, Eirini and Stefanidis, Kostas and Kriegel, Hans-Peter: Exploring subspace clustering for recommendations. Proceedings of the 26th International Conference on Scientific and Statistical Database Management. 2014. 1--4
2013Stefanidis, Kostas and Ntoutsi, Eirini and Petropoulos, Mihalis and N{\o}rv{\aa}g, Kjetil and Kriegel, Hans-Peter: A framework for modeling, computing and presenting time-aware recommendations. Transactions on Large-Scale Data-and Knowledge-Centered Systems X: Special Issue on Database-and Expert-Systems Applications. Springer Berlin Heidelberg Berlin, Heidelberg, 2013. 146--172
2013Zimmermann, Max and Ntoutsi, Eirini and Spiliopoulou, Myra: Extracting opinionated (sub) features from a stream of product reviews. International Conference on Discovery Science. 2013. 340--355
2013Spiliopoulou, Myra and Ntoutsi, Eirini and Theodoridis, Yannis and Schult, Rene: MONIC and followups on modeling and monitoring cluster transitions. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2013. 622--626
2012Stefanidis, Kostas and Ntoutsi, Eirini and N{\o}rv{\aa}g, Kjetil and Kriegel, Hans-Peter: A framework for time-aware recommendations. . 2012.
2012Ntoutsi, Irene and Zimek, Arthur and Palpanas, Themis and Kröger, Peer and Kriegel, Hans-Peter: Density-based projected clustering over high dimensional data streams. Proceedings of the 2012 SIAM international conference on data mining. 2012. 987--998
2012Zimmermann, Max and Ntoutsi, Eirini and Siddiqui, Zaigham Faraz and Spiliopoulou, Myra and Kriegel, Hans-Peter: Discovering global and local bursts in a stream of news. Proceedings of the 27th Annual ACM Symposium on Applied Computing. 2012. 807--812
2012Irene Ntoutsi, M. Spiliopoulou, Y. Theordoridis: FINGERPRINT - Summarizing Cluster Evolution in Dynamic Environments. In: Int. Journal of Data Warehousing and Mining (IJDWM), 2012, 27-45
2012Ntoutsi, Eirini and Spiliopoulou, Myra and Theodoridis, Yannis: Fingerprint: Summarizing cluster evolution in dynamic environments. In: International Journal of Data Warehousing and Mining (IJDWM), 8, 2012, 27--44
2012Lauschke, Claudia and Ntoutsi, Eirini: Monitoring user evolution in twitter. 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. 2012. 972--977
2012Sinelnikova, Alina and Ntoutsi, Eirini and Kriegel, Hans-Peter: Sentiment analysis in the Twitter stream. In: Bachelor thesis, LMU, Munich, 2012,
2012Ntoutsi, Eirini and Stefanidis, Kostas and Norvag, Kjetil and Kriegel, Hans-Peter: grecs: A group recommendation system based on user clustering. Database Systems for Advanced Applications. 2012. 299--303
2011Hans-Peter Kriegel, Peer Kroger, Irene Ntoutsi, Arthur Zimek Density Based Subspace Clustering Over Dynamic Data. In: Judith Bayard, James French, Shawn Bowers, SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management. 2011. 387-404
2011Kriegel, Hans-Peter and Kröger, Peer and Ntoutsi, Eirini and Zimek, Arthur: Density based subspace clustering over dynamic data. Scientific and Statistical Database Management. 2011. 387--404
2011Subramani, Kumar and Velkov, Alexander and Ntoutsi, Eirini and Kröger, Peer and Kriegel, Hans-Peter: Density-based community detection in social networks. BASNA, in conjunction with IMSAA. 2011.
2011Mitsou, Nikos and Ntoutsi, Eirini and Wollherr, Dirk and Tzafestas, Costas and Kriegel, Hans-Peter: Revealing cluster formation over huge volatile robotic data. Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on. 2011. 450--457
2011Irene Ntoutsi, Myra Spiliopoulou, Yannis Theodoridis: Summarizing Cluster Evolution in Dynamic Environments. Proc 11th International Conference on Computational Science and Its Applications (ICCSA 2011). LNCS (Springer), 2011.
2011Irene Ntoutsi, Myra Spiliopoulou, Yannis Theordoridis: Summarizing Cluster Evolution in Dynamic Environments. In: Internat Conference on Computational Science and Its Application (ICCSA 2011), 2011, 562-577
2011Ntoutsi, Eirini and Spiliopoulou, Myra and Theodoridis, Yannis: Summarizing cluster evolution in dynamic environments. In: Computational Science and Its Applications-ICCSA 2011, 2011, 562--577
2010Hans-Peter Kriegel, Peer Kröger, Eirini Ntoutsi, Arthur Zimek: Towards subspace clustering on dynamic data: an incremental version of PreDeCon. In: Margaret H. Dunham, Michael Hahsler, Myra Spiliopoulou, Proceedings of the First international Workshop on Novel Data Stream Pattern Mining Techniques (Washington, D.C., July 25 - 25, 2010). StreamKDD '10. ACM New York, NY, USA, 2010. 31-38
2010Kriegel, Hans-Peter and Kröger, Peer and Ntoutsi, Eirini and Zimek, Arthur: Towards subspace clustering on dynamic data: an incremental version of PreDeCon. Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques. 2010. 31--38
2009Bartolini, Ilaria and Ciaccia, Paolo and Ntoutsi, Irene and Patella, Marco and Theodoridis, Yannis: The Panda framework for comparing patterns. In: Data \& Knowledge Engineering, 68, 2009, 244--260
2009Ntoutsi, Irene and Spiliopoulou, Myra and Theodoridis, Yannis: Tracing cluster transitions for different cluster types. In: Control and Cybernetics, 38, 2009, 239--259
2008Marketos, Gerasimos and Frentzos, Elias and Giatrakos, N and Ntoutsi, I and Pelekis, N and Raffaeta, Alessandra and Theodoridis, Y and others: A framework for trajectory data warehousing. Proceedings of ACM SIGMOD Workshop on Data Engineering for Wireless and Mobile Access. 2008.
2008Ntoutsi, Irene and Kalousis, Alexandros and Theodoridis, Yannis: A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees. Proceedings of the 2008 SIAM international conference on data mining. 2008. 810--821
2008Marketos, Gerasimos and Frentzos, Elias and Ntoutsi, Irene and Pelekis, Nikos and Raffaeta, Alessandra and Theodoridis, Yannis: Building real-world trajectory warehouses. Proceedings of the seventh ACM international workshop on data engineering for wireless and mobile access. 2008. 8--15
2008Ntoutsi, Irene and Theodoridis, Yannis: Comparing datasets using frequent itemsets: Dependency on the mining parameters. Hellenic Conference on Artificial Intelligence. 2008. 212--225
2008Kotsifakos, Evangelos E and Ntoutsi, Irene and Vrahoritis, Yannis and Theodoridis, Yannis: Monitoring patterns through an integrated management and mining tool. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2008. 678--683
2008Kotsifakos, Evangelos E and Ntoutsi, Irene and Vrahoritis, Yannis and Theodoridis, Yannis: Pattern-miner: integrated management and mining over data mining models. Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. 2008. 1081--1084
2008Ntoutsi, Irene: Similarity Issues in Data Mining--Methodologies and Techniques. In: University of Piraeus, Piraeus, 2008, 31--32
2008Pelekis, Nikos and Raffaeta, Alessandra and Damiani, M-L and Vangenot, Christelle and Marketos, Gerasimos and Frentzos, Elias and Ntoutsi, Irene and Theodoridis, Yannis: Towards trajectory data warehouses. Mobility, data mining and privacy: geographic knowledge discovery. Springer Berlin Heidelberg Berlin, Heidelberg, 2008. 189--211
2008Ntoutsi, Irene and Mitsou, Nikos and Marketos, Gerasimos: Traffic mining in a road-network: How does the traffic flow?. In: International Journal of Business Intelligence and Data Mining, 3, 2008, 82--98
2008Macedo, J and Vangenot, Christelle and Othman, Walied and Pelekis, Nikos and Frentzos, Elias and Kuijpers, Bart and Ntoutsi, Irene and Spaccapietra, Stefano and Theodoridis, Yannis: Trajectory data models. Mobility, Data Mining and Privacy: Geographic Knowledge Discovery. Springer Berlin Heidelberg Berlin, Heidelberg, 2008. 123--150
2008Frentzos, Elias and Pelekis, Nikos and Ntoutsi, Irene and Theodoridis, Yannis: Trajectory database systems. Mobility, Data Mining and Privacy: Geographic Knowledge Discovery. Springer Berlin Heidelberg Berlin, Heidelberg, 2008. 151--187
2008Ntoutsi, Eirini: Z$\eta$$\tau$$\acute{\eta}$$\mu$$\alpha$$\tau$$\alpha$ o$\mu$o$\iota${\'o}$\tau$$\eta$$\tau$$\alpha$$\varsigma$ $\sigma$$\tau$$\eta$$\nu$ $\varepsilon$$\xi${\'o}$\rho$$\upsilon$$\xi$$\eta$ $\gamma$$\nu$$\acute{\omega}$$\sigma$$\eta$$\varsigma$: M$\varepsilon$$\theta$o$\delta$o$\lambda$o$\gamma$$\acute{\iota}$$\varepsilon$$\varsigma$ $\kappa$$\alpha$$\iota$ $\tau$$\varepsilon$$\chi$$\nu$$\iota$$\kappa$$\acute{\varepsilon}$$\varsigma$. 2008,
2007Pelekis, Nikos and Kopanakis, Ioannis and Ntoutsi, Irene and Marketos, Gerasimos and Theodoridis, Yannis: Mining trajectory databases via a suite of distance operators. 2007 IEEE 23rd International Conference on Data Engineering Workshop. 2007. 575--584
2007Ntoutsi, Irene and Pelekis, Nikos and Theodoridis, Yannis: Pattern comparison in data mining: a survey. Research and Trends in Data Mining Technologies and Applications. IGI Global, 2007. 86--120
2007Pelekis, Nikos and Kopanakis, Ioannis and Marketos, Gerasimos and Ntoutsi, Irene and Andrienko, Gennady and Theodoridis, Yannis: Similarity search in trajectory databases. 14th International Symposium on Temporal Representation and Reasoning (TIME'07). 2007. 129--140
2007Ntoutsi, I and Theodoridis, Y: The notion of patterns in data mining. In: Information Systems Lab Department of Informatics, University of Piraeus, Hellas, Technical Report Series UNIPI-ISL-TR-2007-02.(http://infolab. cs. unipi. gr/pubs/TR/UNIPI-ISL-TR-2007-02. pdf), 2007,
2007Ntoutsi, Irene and Theodoridis, Yannis: UNIPI-ISL-TR-2007-01 March 2007. 2007,
2006Damiani, ML and Vangenot, C and Frentzos, E and Marketos, G and Ntoutsi, I and Pelekis, N and Theodoridis, Y and Verykios, V and Rafaetta, A: Design of the Trajectory Warehouse Architecture. GeoPKDD Deliverable D. 1.3.. 2006,
2006Damiani, ML and Frentzos, E and Gkoulalas Divanis, A and Gougoulas, D and Kuijpers, B and Macedo, J and Marketos, G and Mazzoni, A and Ntoutsi, I and Othman, W and others: GeoPKDD Deliverable D. 1.1. Privacy-aware Trajectory Warehouse Alignment Report. 2006,
2006Spiliopoulou, Myra and Ntoutsi, Irene and Theodoridis, Yannis and Schult, Rene: The MONIC framework for cluster transition detection. Proc. of 5th Hellenic Data Management Symposium (HDMS’2006), Thessaloniki, Hellas. 2006.
2005Kotsifakos, Evangelos and Ntoutsi, Irene and Theodoridis, Yannis: Database support for data mining patterns. Panhellenic Conference on Informatics. 2005. 14--24
2005Ntoutsi, Irene and Theodoridis, Yannis: Measuring and evaluating dissimilarity in data and pattern spaces. Proceedings of VLDB’05 Phd Workshop. 2005.
2004Bartolini, Ilaria and Ciaccia, Paolo and Ntoutsi, Irene and Patella, Marco and Theodoridis, Yannis: A unified and flexible framework for comparing simple and complex patterns. European Conference on Principles of Data Mining and Knowledge Discovery. 2004. 496--499
2004Ntoutsi, Irene: The Notion of Similarity in Data and Pattern Spaces.. PaRMa. 2004.
2003Ntoutsi, Irene and Theodoridis, Yannis: Current issues in modeling data mining processes and results. PANDA Workshop. 2003. 7
2002Kalles, Dimitrios and Ntoutsi, Eirini: Interactive verification of game design and playing strategies. 14th IEEE International Conference on Tools with Artificial Intelligence, 2002.(ICTAI 2002). Proceedings.. 2002. 425--430
2000Kalles, Dimitrios and Papagelis, Athanasios and Ntoutsi, Eirini: Induction of decision trees in numeric domains using set-valued attributes. In: Intelligent Data Analysis, 4, 2000, 323--347
n.n.Berendt, Bettina and Gandon, Fabien and Halford, Susan and Hendler, Jim and Kinder-Kurlanda, Katharina and Ntoutsi, Eirini and Staab, Steffen: 10 Years of Web Science—Dagstuhl Manifesto. n.n.,
n.n.Debar, Herv{\'e} and Dietrich, Sven and Laskov, Pavel and Lupu, Emil C and Ntoutsi, Eirini: 5.2 Security of Large Language Models. In: Network Attack Detection and Defense--AI-Powered Threats and Responses, n.n., 103
n.n.Bobineau, Christophe and Claudio, Jossen and Costa, Jo{\~a}o Pedro and Dekany, Tibor and Dobre, Anca and Frentzos, Elias and Gerb{\'e}, Olivier and Goeres, Juergen and Goldstein, Jonathan and Hagemann, Stephan and others: Ahmed Alasoud, Concordia University Fabrizio Angiulli, ICAR-CNR, Italy Giacometti Arnaud, Universit{\'e} Fran{\c{c}}ois-Rabelais of Tours, France Ali Azari, Concordia University. n.n.,
n.n.UKBEL, Esra GUC and Ntoutsi, Eirini and Landgraf, Tim: Evaluating The Explanation of Black Box Decision for Text Classification. n.n.,
n.n.Ntoutsi, Eirini and Kalles, Dimitris: Game Design Verification using Reinforcement Learning. n.n.,
n.n.Panagiotou, Emmanouil and Qian, Han and Marx, Steffen and Ntoutsi, Eirini: Generative Ai Based Augmentation for Offshore Jacket Design: An Integrated Approach for Mixed Tabular Data Generation under Data Scarcity and Imbalance. In: Available at SSRN 4703856, n.n.,
n.n.Eirinaki, Magdalini and Potika, Aikaterini and Anastasiu, David and Bouros, Panagiotis and Chen, Zehua and Dalamagas, Theodore and Dhar, Subhankar and Lei, Deng and Malliaros, Fragkiskos and Marcel, Patrick and others: IEEE INTERNATIONAL WORKSHOP ON BIG DATA APPLICATIONS IN SMART CITY DEVELOPMENT Workshop Chairs. n.n.,
n.n.Stefanidis, Kostas and Ntoutsi, Eirini and Kondylakis, Haridimos: Information Hunting: The Many Faces of Recommendations for Data Exploration. n.n.,
n.n.Kailing, Peer Kröger and Ntoutsi, Eirini and Sander, Jörg and Schubert, Erich and Schubert, Matthias and Zimek, Arthur: Kapitel 8: Assoziationsregeln. n.n.,
n.n.Ntoutsi, Eirini: Machine Learning for Big Data. n.n.,
n.n.Ali, Mohammed Eunus and Al-Tameemi, Ghaith and Balestra, Chiara and Baskaran, Rushanthi and Beer, Anna and Cai, Feiyang and Cao, Lei and Chaturvedi, Animesh and Chatziantoniou, Damianos and Chen, Yi and others: Program Committee DSAA'23. n.n.,
n.n.Webster, David and Armstrong, Django and Gkoulalas-Divanis, Aris and Colombo, Pietro and Martinez, Gregorio and Lu, Shiyong and Ma, Kwan Liu and van Engelen, Robert and Lei, Deng and Garraghan, Peter and others: Program Track Committees. n.n.,
n.n.Dadiotis, Dimitris and Kalles, Dimitris and Ntoutsi, Eirini and Papagelis, Athanassios: Scalable and interoperable e-commerce infrastructures: The Instant Commerce Server paradigm. n.n.,
n.n.Saravanan, Mohan and Dandi, Roberto and Ntoutsi, Eirini and Sarkar, Avik: The Fifth International Workshop on Business Applications of Social Network Analysis (BASNA 2014). n.n.,
n.n.Ntoutsi, Eirini: Topic Sentiment Mixture: Modeling Facets and Opinions in Weblogs. n.n.,
n.n.Roski, Marvin and Hoppe, Anett and Dannemann, Sarah and Dietze, Stefan and Ewerth, Ralph and Friege, Gunnar and Marenzi, Ivana and Ntoutsi, Eirini and Schanze, Sascha and Nehring, Andreas: Unterstützung von Lehr-Lern-Prozessen durch maschinelles Lernen-ein systematisches Review. n.n.,
n.n.Ntoutsi, Eirini and Stefanidis, Kostas and N{\o}rv{\aa}g, Kjetil and Kriegel, Hans-Peter: gRecs: A collaborative filtering framework for group recommendations. n.n.,