| 2026 | Vasiliki Papanikou and Danae Pla Karidi and
Evaggelia Pitoura and Emmanouil Panagiotou and
Eirini Ntoutsi: MIMOSA: A Tool for Fairness Exploration Through Explanations. Proceedings of the 29th International Conference on
Extending Database Technology (EDBT 2026). 2026. |
|---|
| 2025 | Ghodsi, Siamak and Seyedi, Amjad and Le Quy, Tai and Karimi, Fariba and Ntoutsi, Eirini: A deep latent factor graph clustering with fairness-utility trade-off perspective. 2025 IEEE International Conference on Big Data (BigData). 2025. 1705--1714 |
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| 2025 | Hyrup, 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, |
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| 2025 | Roy, 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 |
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| 2025 | Papanikou, 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, |
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| 2025 | Xu, 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 |
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| 2025 | Ramanaik, 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, |
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| 2025 | Panagiotou, 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 |
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| 2025 | Swati, Swati and Roy, Arjun and Panagiotou, Emmanouil and Ntoutsi, Eirini: MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs. Proceedings of the 34th ACM International Conference on Information and Knowledge Management. 2025. 6713--6717 |
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| 2025 | Kumar, Vivek and Singh Rajawat, Pushpraj and Ntoutsi, Eirini: Mitigating Semantic Drift: Evaluating LLMs’ Efficacy in Psychotherapy through MI Dialogue Summarization Leveraging MITI Code. International Joint Conference on Neural Networks (IJCNN 2025). 2025. 1-8 |
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| 2025 | Ntoutsi, Eirini: The Multifaced Nature of Bias in AI: Impact on Model Generalization, Robustness, and Fairness. Maschinen wie wir? Wie Künstliche Intelligenz Bildung, Wirtschaft und Gesellschaft herausfordert. Springer, 2025. 231--247 |
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| 2025 | Panagiotou, 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. IEEE International Conference on Data Mining (ICDM). 2025. |
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| 2024 | Han Qian and Emmanouil Panagiotou and Mengyan Peng and Eirini Ntoutsi and Chongjie Kang and Steffen Marx: A Novel Dataset and Feature Selection for Data-Driven Conceptual Design of Offshore Jacket Substructures. In: Ocean Engineering, 303, 2024, 117679 |
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| 2024 | Qian, 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 |
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| 2024 | Ramanaik, Chethan Krishnamurthy and Roy, Arjun and Ntoutsi, Eirini: Adversarial Robustness of VAEs across Intersectional Subgroups. In: arXiv preprint arXiv:2407.03864, 2024, |
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| 2024 | Chethan Krishnamurthy Ramanaik and Arjun Roy and Eirini Ntoutsi: Adversarial Robustness of VAEs across Intersectional Subgroups. Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024 Workshops). Cham: Springer, 2024. 65--80 |
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| 2024 | Ramanaik, Chethan Krishnamurthy and Roy, Arjun and Ntoutsi, Eirini: Adversarial Robustness of Variational Autoencoders Across Intersectional. Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2024, Vilnius, Lithuania, September 9--13, 2024, Revised Selected Papers, Part I. 2024. 65 |
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| 2024 | Bifet, 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 |
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| 2024 | Gkolemis, 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, |
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| 2024 | Debar, 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, |
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| 2024 | Swati, 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. |
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| 2024 | Swati Swati and Arjun Roy and Eirini Ntoutsi: Exploring Fusion Techniques in Multimodal AI-Based Recruitment: Insights from FairCVdb. 3rd European Workshop on Algorithmic Fairness. 2024. |
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| 2024 | Roy, Arjun and Ntoutsi, Eirini and others: Exploring Fusion Techniques in Multimodal Ai-based Recruitment: Insights From Faircvdb. EWAF. 2024. |
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| 2024 | Roy, 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 |
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| 2024 | Roy, 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 |
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| 2024 | Gkolemis, 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 |
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| 2024 | Julia Huuk and Berend Denkena and Abheek Dhingra and Eirini Ntoutsi: Shape Error Prediction in 5-Axis Machining Using Graph Neural Networks. 18th CIRP ICME Conference on Intelligent Computation in Manufacturing Engineering. 2024. |
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| 2024 | Huuk, 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, |
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| 2024 | Simone Fabbrizzi and Xinyu Zhao and Emmanouil Krasanakis and Symeon Papadopoulos and Eirini Ntoutsi and Ioannis Kompatsiaris: Studying Bias in Visual Features Through the Lens of Optimal Transport. In: Data Mining and Knowledge Discovery, 38, 2024, 281--312 |
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| 2024 | Fabbrizzi, 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 |
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| 2024 | Elobaid, 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 |
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| 2024 | Emmanouil Panagiotou and Arjun Roy and Eirini Ntoutsi: Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study. Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024 Workshops). Cham: Springer, 2024. 35--49 |
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| 2024 | Panagiotou, 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, |
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| 2024 | Emmanouil Panagiotou and Manuel Heurich and Tim Landgraf and Eirini Ntoutsi: TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE. Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24). Brooklyn, NY, USA: ACM, 2024. 9 pages |
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| 2024 | Panagiotou, 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 |
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| 2024 | Siamak Ghodsi and Seyed Amjad Seyedi and Eirini Ntoutsi: Towards Cohesion Fairness Harmony -- Contrastive Regularization in Individual Fair Graph Clustering. The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). 2024. |
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| 2024 | Ghodsi, 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 |
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| 2024 | Cai, 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 |
|---|
| 2024 | Cai, 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 |
|---|
| 2024 | Kumar, 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 |
|---|
| 2024 | Kumar, Vivek and
Rajawat, Pushpraj Singh and
Medda, Giacomo and
Ntoutsi, Eirini and
Recupero, Diego Reforgiato: Unlocking {LLM}s: 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. Lancaster, UK: International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security, 2024. 238--251 |
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| 2023 | Tai Le Quy and Gunnar Friege and Eirini Ntoutsi: A Review of Clustering Models in Educational Data Science Toward Fairness-Aware Learning. In: Armando Peña-Ayala, Educational Data Science: Essentials, Approaches, and Tendencies. Singapore: Springer, 2023. |
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| 2023 | Quy, 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. |
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| 2023 | Vasileios Iosifidis and Symeon Papadopoulos and Bodo Rosenhahn and Eirini Ntoutsi: AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification. In: Knowledge and Information Systems, 65, 2023, 789--826 |
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| 2023 | Siamak Ghodsi and Eirini Ntoutsi: Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy. Proceedings of the 2nd European Workshop on Algorithmic Fairness. Winterthur, Switzerland: 2023. |
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| 2023 | Ghodsi, Siamak and Ntoutsi, Eirini: Affinity clustering framework for data debiasing using pairwise distribution discrepancy. In: arXiv preprint arXiv:2306.01699, 2023, |
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| 2023 | Han Qian and Emmanouil Panagiotou and Steffen Marx and Eirini Ntoutsi: Data-Based Conceptual Design of Offshore Jackets Using a Self-Developed Database. The 33rd International Ocean and Polar Engineering Conference (ISOPE). Ottawa, Canada: 2023. |
|---|
| 2023 | Qian, 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 |
|---|
| 2023 | Emmanouil Panagiotou and Han Qian and Mareile Wynants and Anton Kriese and Steffen Marx and Eirini Ntoutsi: Explainable AI-Based Generation of Offshore Substructure Designs. The 33rd International Ocean and Polar Engineering Conference (ISOPE). Ottawa, Canada: 2023. |
|---|
| 2023 | Panagiotou, 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 |
|---|
| 2023 | Cai, 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, |
|---|
| 2023 | Roy, 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, |
|---|
| 2023 | Ntoutsi, 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 |
|---|
| 2023 | Panagiotou, Emmanouil
and Ntoutsi, Eirini: Learning Impartial Policies for Sequential Counterfactual Explanations Using Deep Reinforcement Learning. In: Meo, Rosa
and Silvestri, Fabrizio, Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Cham: Springer Nature Switzerland, 2023. 350--358 |
|---|
| 2023 | Panagiotou, 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 |
|---|
| 2023 | Roy, 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. New York, NY, USA: Association for Computing Machinery, 2023. 89–100 |
|---|
| 2023 | Roy, 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 |
|---|
| 2023 | Tai Le Quy and Gunnar Friege and Eirini Ntoutsi: Multi-fair Capacitated Students-Topics Grouping Problem. In: Hisashi Kashima and Takashi Ide and Wen-Chih Peng, Advances in Knowledge Discovery and Data Mining. Cham: Springer, 2023. |
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| 2023 | Le 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 |
|---|
| 2023 | Vasilis Gkolemis and Theodore Dalamagas and Eirini Ntoutsi and Christos Diou: RHALE: Robust and Heterogeneity-Aware Accumulated Local Effects. ECAI 2023. IOS Press, 2023. 859--866 |
|---|
| 2023 | Gkolemis, 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, |
|---|
| 2023 | Gkolemis, Vasilis
and Tzerefos, Anargiros
and Dalamagas, Theodore
and Ntoutsi, Eirini
and Diou, Christos: Regionally Additive Models: Explainable-by-Design Models Minimizing Feature Interactions. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Cham: Springer Nature Switzerland, 2023. 433--447 |
|---|
| 2023 | Gkolemis, 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 |
|---|
| 2022 | Fabbrizzi, 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 |
|---|
| 2022 | Le 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 |
|---|
| 2022 | Le Quy, Tai and Roy, Arjun and Iosifidis, Vasileios and Zhang, Wenbin and Ntoutsi, Eirini: A survey on datasets for fairness-aware machine learning. In: WIREs Data Mining and Knowledge Discovery, 12, 2022, e1452 |
|---|
| 2022 | Le 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 |
|---|
| 2022 | Arjun Roy and Eirini Ntoutsi: Learning to Teach Fairness-Aware Deep Multi-Task Learning. ECMLPKDD. Cham: Springer International Publishing, 2022. 710--726 |
|---|
| 2022 | Roy, 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 |
|---|
| 2022 | Roy, Arjun and Iosifidis, Vasileios and Ntoutsi, Eirini: Multi-fairness Under Class-Imbalance. Discovery Science: 25th International Conference, DS 2022, Montpellier, France, October 10–12, 2022, Proceedings. Berlin, Heidelberg: Springer-Verlag, 2022. 286–301 |
|---|
| 2022 | Roy, Arjun and Iosifidis, Vasileios and Ntoutsi, Eirini: Multi-fairness under class-imbalance. International Conference on Discovery Science. 2022. 286--301 |
|---|
| 2022 | Quy, 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, |
|---|
| 2022 | Vasileios Iosifidis and Arjun Roy and Eirini Ntoutsi: Parity-Based Cumulative Fairness-Aware Boosting. In: Knowledge and Information Systems (KAIS), 64, 2022, 2737--2770 |
|---|
| 2022 | Iosifidis, Vasileios and Roy, Arjun and Ntoutsi, Eirini: Parity-based cumulative fairness-aware boosting. In: Knowledge and Information Systems, 64, 2022, 2737--2770 |
|---|
| 2022 | Cai, Yi and Zimek, Arthur and Wunder, Gerhard and Ntoutsi, Eirini: Power of Explanations: Towards automatic debiasing in hate speech detection. DSAA. 2022. 1-10 |
|---|
| 2022 | Cai, 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 |
|---|
| 2021 | Naumann, Philip
and Ntoutsi, Eirini: Consequence-Aware Sequential Counterfactual Generation. ECMLPKDD. Cham: Springer International Publishing, 2021. 682--698 |
|---|
| 2021 | Naumann, Philip and Ntoutsi, Eirini: Consequence-aware sequential counterfactual generation. Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2021. 682--698 |
|---|
| 2021 | Berendt, 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, |
|---|
| 2021 | Quy, 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, |
|---|
| 2021 | Tai Le Quy and Arjun Roy and Gunnar Friege and Eirini Ntoutsi: Fair-Capacitated Clustering. Proceedings of the 14th International Conference on Educational Data Mining (EDM). 2021. 407-414 |
|---|
| 2021 | Quy, Tai Le and Roy, Arjun and Friege, Gunnar and Ntoutsi, Eirini: Fair-capacitated clustering. In: arXiv preprint arXiv:2104.12116, 2021, |
|---|
| 2021 | Turner, 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, |
|---|
| 2021 | Xuejiao Tang and Wenbin Zhang and Yi Yu and Kea Turner and Tyler Derr and Mengyu Wang and Eirini Ntoutsi: Interpretable Visual Understanding with Cognitive Attention Network. Artificial Neural Networks and Machine Learning -- ICANN 2021. Springer International Publishing, 2021. |
|---|
| 2021 | Tang, 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 |
|---|
| 2021 | Calders, 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: SIGKDD Explor. Newsl., 23, 2021, 1–3 |
|---|
| 2021 | Calders, 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 |
|---|
| 2021 | Roy, Arjun and Iosifidis, Vasileios and Ntoutsi, Eirini: Multi-fair pareto boosting. In: arXiv preprint arXiv:2104.13312, 2021, |
|---|
| 2021 | Ntoutsi, Eirini: Multi-fairness under class-imbalance. In: arXiv preprint arXiv:2104.13312, 2021, |
|---|
| 2021 | Iosifidis, Vasileios and Zhang, Wenbin and Ntoutsi, Eirini: Online fairness-aware learning with imbalanced data streams. In: arXiv preprint arXiv:2108.06231, 2021, |
|---|
| 2021 | Tai Le Quy and Eirini Ntoutsi: Towards Fair, Explainable and Actionable Clustering for Learning Analytics. Proceedings of the 14th International Conference on Educational Data Mining (EDM 2021). 2021. 847--851 |
|---|
| 2021 | Le Quy, Tai and Ntoutsi, Eirini: Towards fair, explainable and actionable clustering for learning analytics.. EDM. 2021. |
|---|
| 2021 | Bettina Berendt and Fabien Gandon and Susan Halford and Wendy Hall and Jim Hendler and Katharina Kinder-Kurlanda and Eirini Ntoutsi and Steffen Staab: Web Futures: Inclusive, Intelligent, Sustainable -- The 2020 Manifesto for Web Science. In: Dagstuhl Manifestos, 9, 2021, 1--43 |
|---|
| 2021 | Berendt, 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, |
|---|
| 2021 | Cai, 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 |
|---|
| 2021 | Yi Cai and Arthur Zimek and Eirini Ntoutsi: XPROAX: Local Explanations for Text Classification with Progressive Neighborhood Approximation. 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2021. 1--10 |
|---|
| 2020 | Beyer, 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 |
|---|
| 2020 | Ntoutsi, Eirini and Fafalios, Pavlos and Gadiraju, Ujwal and Iosifidis, Vasileios and Nejdl, Wolfgang and Vidal, Maria-Esther and Ruggieri, Salvatore and Turini, Franco and Papadopoulos, Symeon and Krasanakis, Emmanouil and others: Bias in data-driven artificial intelligence systems—An introductory survey. In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10, 2020, e1356 |
|---|
| 2020 | Ntoutsi, 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 |
|---|
| 2020 | Abolfazli, Amir and Ntoutsi, Eirini: Drift-aware multi-memory model for imbalanced data streams. 2020 IEEE international conference on big data (big data). 2020. 878--885 |
|---|
| 2020 | Unnikrishnan, 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 |
|---|
| 2020 | Iosifidis, Vasileios and Ntoutsi, Eirini: Online Fairness-Aware Learning Under Class Imbalance. International Conference on Discovery Science. 2020. 159--174 |
|---|
| 2020 | Christian Beyer and Vishnu Unnikrishnan and Robert Brüggemann and Vincent Toulouse and Hafez Kader Omar and Eirini Ntoutsi and Myra Spiliopoulou: Resource Management for Model Learning at Entity Level. In: Annals of Telecommunications, 75, 2020, 549--561 |
|---|
| 2020 | Beyer, 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 |
|---|
| 2020 | Iosifidis, Vasileios and Ntoutsi, Eirini: Sentiment analysis on big sparse data streams with limited labels. In: Knowledge and Information Systems, 62, 2020, 1393--1432 |
|---|
| 2020 | Askari, 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 |
|---|
| 2020 | Fafalios, 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 |
|---|
| 2020 | Pavlos Fafalios and Vasileios Iosifidis and Kostas Stefanidis and Eirini Ntoutsi: 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 |
|---|
| 2020 | Hu, 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 |
|---|
| 2019 | Halford, 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 |
|---|
| 2019 | Ntoutsi, 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. |
|---|
| 2019 | Quy, 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 |
|---|
| 2019 | Ranjith Shivakumaraswamy and Christian Beyer and
Vishnu Unnikrishnan and Eirini Ntoutsi and
Myra Spiliopoulou: Active Feature Acquisition for Opinion Stream Classification under Drift. Proceedings of the Workshop \& Tutorial on Interactive Adaptive Learning (IAL@ECML PKDD 2019). Aachen, Germany: RWTH Aachen, 2019. 108--111 |
|---|
| 2019 | Shivakumaraswamy, 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 |
|---|
| 2019 | Iosifidis, Vasileios and Ntoutsi, Eirini: Adafair: Cumulative fairness adaptive boosting. Proceedings of the 28th ACM international conference on information and knowledge management. 2019. 781--790 |
|---|
| 2019 | Ntoutsi, 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, |
|---|
| 2019 | Beyer, 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 |
|---|
| 2019 | Iosifidis, 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 |
|---|
| 2019 | Iosifidis, 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 |
|---|
| 2019 | Mauder, 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 |
|---|
| 2019 | Susan Halford and James A. Hendler and Eirini Ntoutsi and Steffen Staab: {10 Years of Web Science: Closing The Loop (Dagstuhl Perspectives Workshop 18262)}. In: Dagstuhl Reports, 8, 2019, 173--198 |
|---|
| 2019 | Zhang, Wenbin and Ntoutsi, Eirini: {FAHT}: an adaptive fairness-aware decision tree classifier. Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI). 2019. 1480--1486 |
|---|
| 2018 | Halford, Susan and Hendler, J and Ntoutsi, Eirini and Staab, Steffen: 10 Years of Web Science: Closing The Loop. Report from Dagstuhl Perspectives Workshop. 2018. |
|---|
| 2018 | Mansalis, 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 |
|---|
| 2018 | Iosifidis, Vasileios and Ntoutsi, Eirini: Dealing with Bias via Data Augmentation in Supervised Learning Scenarios. In: Jo Bates Paul D. Clough Robert Jäschke, 2018, 24 |
|---|
| 2018 | Iosifidis, Vasileios and Ntoutsi, Eirini: Dealing with bias via data augmentation in supervised learning scenarios. In: Jo Bates Paul D. Clough Robert Jäschke, 24, 2018, |
|---|
| 2018 | Melidis, 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 |
|---|
| 2018 | Unnikrishnan, Vishnu and Beyer, Christian and Matuszyk, Pawel and Niemann, Uli and Pryss, Ruediger 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. DSAA. 2018. |
|---|
| 2018 | Melidis, 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 |
|---|
| 2018 | Beyer, 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 |
|---|
| 2018 | Blake, 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 |
|---|
| 2018 | Stefanidis, K and Ntoutsi, E and Kondylakis, H and Velegrakis, Ioannis and others: Social-based Collaborative Filtering. Encyclopedia of Social Network Analysis and Mining. Springer, 2018. |
|---|
| 2018 | Fafalios, 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 |
|---|
| 2018 | Berendt, Bettina and Ntoutsi, Eirini and Pitoura, Evaggelia and Staab, Steffen and Tamburrini, Guglielmo and Troullinou, Pinelopi: Working Group on Values. In: Dagstuhl Reports, 2018, |
|---|
| 2017 | Amit, Amit and Ntoutsi, Eirini and Nejdl, Wolfgang and Risse, Thomas: Anomaly Detection in Data Streams. 2017, |
|---|
| 2017 | Grupe, Gisela and Hölzl, Stefan and Kocsis, Balazs and Kröger, Peer and Mauder, Markus and Mayr, Christoph and Ntoutsi, Eirini and Schmahl, Wolfgang and Söllner, Frank and Toncala, Anita and Wycisk, Dominika: Isotopic Mapping and Migration Research Based on Bioarchaeological Finds: The Interdisciplinary Project ``Transalpine Mobility and Culture Transfer''. In: Scholz, Anke K. and Bartelheim, Martin and Hardenberg, Roland and Staecker, Jörn, ResourceCultures: Sociocultural Dynamics and the Use of Resources -- Theories, Methods, Perspectives. 2017. |
|---|
| 2017 | Grupe, 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 |
|---|
| 2017 | Iosifidis, 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 |
|---|
| 2017 | Fafalios, 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 |
|---|
| 2017 | Spiliopoulou, Myra and Ntoutsi, Eirini and Zimmermann, Max: Opinion stream mining. Encyclopedia of machine learning and data mining. Springer, Boston, MA, 2017. 938--947 |
|---|
| 2017 | Basaran, 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 |
|---|
| 2017 | Iosifidis, 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 |
|---|
| 2017 | Stefanidis, 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 |
|---|
| 2017 | Mauder, 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, 2017. 105--125 |
|---|
| 2016 | Mauder, 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 |
|---|
| 2016 | Stefanidis, Kostas and Ntoutsi, Eirini: Cluster-based Contextual Recommendations. Proceedings of the 19th International Conference on Extending Database Technology (EDBT). OpenProceedings.org, 2016. 712 |
|---|
| 2016 | Zimmermann, 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 |
|---|
| 2016 | Mauder, 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 |
|---|
| 2016 | Spiliopoulou, Myra
and Ntoutsi, Eirini
and Zimmermann, Max: Opinion Stream Mining. In: Sammut, Claude
and Webb, Geoffrey I., Encyclopedia of Machine Learning and Data Mining. Boston, MA: Springer US, 2016. 1--10 |
|---|
| 2016 | Spiliopoulou, Myra and Ntoutsi, Eirini and Zimmermann, Max: Opinion stream mining. Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA, 2016. 1--10 |
|---|
| 2016 | Ntoutsi, Eirini and Stefanidis, Kostas: Recommendations beyond the ratings matrix. Proceedings of the Workshop on Data-Driven Innovation on the Web. 2016. 2 |
|---|
| 2016 | Backhoff, 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 |
|---|
| 2016 | Mauder, 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 |
|---|
| 2015 | Sebastian Wagner and
Max Zimmermann and
Eirini Ntoutsi and
Myra Spiliopoulou: Ageing-Based Multinomial Naive Bayes Classifiers over Opinionated Data Streams. ECMLPKDD. Porto, Portugal: Springer, 2015. 401--416 |
|---|
| 2015 | Wagner, 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 |
|---|
| 2015 | Markus Mauder and
Eirini Ntoutsi and
Peer Kr{\"{o}}ger and
Gisela Grupe: Data Mining for Isotopic Mapping of Bioarchaeological Finds in a Central European Alpine Passage. SSDBM. La Jolla, CA, USA: ACM, 2015. 34:1--34:6 |
|---|
| 2015 | Mauder, 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 |
|---|
| 2015 | Max Zimmermann and
Eirini Ntoutsi and
Myra Spiliopoulou: Discovering and Monitoring Product Features and the Opinions on Them with {OPINSTREAM}. In: Neurocomputing, 150, 2015, 318--330 |
|---|
| 2015 | Zimmermann, 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 |
|---|
| 2015 | Max Zimmermann and
Eirini Ntoutsi and
Myra Spiliopoulou: Incremental Active Opinion Learning over a Stream of Opinionated Documents. Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM), co-located with KDD. Sydney, Australia: 2015. |
|---|
| 2015 | Zimmermann, Max and Ntoutsi, Eirini and Spiliopoulou, Myra: Incremental active opinion learning over a stream of opinionated documents. In: arXiv preprint arXiv:1509.01288, 2015, |
|---|
| 2015 | Grünewald, 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, |
|---|
| 2015 | Grupe, 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 |
|---|
| 2015 | Michael Stockerl and
Christoph Ringlstetter and
Matthias Schubert and
Eirini Ntoutsi and
Hans{-}Peter Kriegel: Online Template Matching over a Stream of Digitized Documents. SSDBM. La Jolla, CA, USA: ACM, 2015. 9:1--9:12 |
|---|
| 2015 | Stockerl, 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 |
|---|
| 2015 | Vasilis Efthymiou and
Kostas Stefanidis and
Eirini Ntoutsi: Top-k Computations in MapReduce: A Case Study on Recommendations. BIGDATA. Santa Clara, CA, USA: IEEE, 2015. 2820--2822 |
|---|
| 2015 | Efthymiou, 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 |
|---|
| 2014 | Ntoutsi, 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 |
|---|
| 2014 | Eirini Ntoutsi and
Kostas Stefanidis and
Katharina Rausch and
Hans{-}Peter Kriegel: "Strength Lies in Differences": Diversifying Friends for Recommendations through Subspace Clustering. CIKM. Shanghai, China: ACM, 2014. 729--738 |
|---|
| 2014 | Max Zimmermann and
Eirini Ntoutsi and
Myra Spiliopoulou: A Semi-Supervised Self-Adaptive Classifier over Opinionated Streams. {SENTIRE} workshop, co-located with {ICDM}. Shenzhen, China: IEEE, 2014. 425--432 |
|---|
| 2014 | Zimmerann, 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 |
|---|
| 2014 | Max Zimmermann and
Eirini Ntoutsi and
Myra Spiliopoulou: Adaptive Semi-Supervised Opinion Classifier with Forgetting Mechanism. SAC. Gyeongju, Republic of Korea: ACM, 2014. 805--812 |
|---|
| 2014 | Zimmermann, 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 |
|---|
| 2014 | Kriegel, 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 |
|---|
| 2014 | Markus Mauder and
Eirini Ntoutsi and
Peer Kr{\"{o}}ger: Empirically Exploring the Effect of Oxygen on the Isotopic Mapping of Cremated and Uncremated Bones of a Central European Alpine Passage. International Symposium on Biomolecular Archaeology (ISBA). Basel, Switzerland: 2014. |
|---|
| 2014 | Katharina Rausch and
Eirini Ntoutsi and
Kostas Stefanidis and
Hans{-}Peter Kriegel: Exploring Subspace Clustering for Recommendations. SSDBM. Aalborg, Denmark: ACM, 2014. 42:1--42:4 |
|---|
| 2014 | Rausch, 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 |
|---|
| 2013 | Kostas Stefanidis and
Eirini Ntoutsi and
Mihalis Petropoulos and
Kjetil N{\o}rv{\aa}g and
Hans{-}Peter Kriegel: A Framework for Modeling, Computing and Presenting Time-Aware Recommendations. In: TLDKS, 8220, 2013, 146--172 |
|---|
| 2013 | Stefanidis, 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 |
|---|
| 2013 | Hans{-}Peter Kriegel and
Eirini Ntoutsi: Clustering High Dimensional Data: Examining Differences and Commonalities Between Subspace Clustering and Text Clustering -- A Position Paper. In: {SIGKDD} Explorations, 15, 2013, 1--8 |
|---|
| 2013 | Max Zimmermann and
Eirini Ntoutsi and
Myra Spiliopoulou: Extracting Opinionated (Sub)Features from a Stream of Product Reviews. DS. Singapore: Springer, 2013. 340--355 |
|---|
| 2013 | Zimmermann, 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 |
|---|
| 2013 | Spiliopoulou, 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 |
|---|
| 2013 | Myra Spiliopoulou and
Eirini Ntoutsi and
Yannis Theodoridis and
Rene Schult: {MONIC} and Followups on Modeling and Monitoring Cluster Transitions. ECMLPKDD. Prague, Czech Republic: Springer, 2013. 622--626 |
|---|
| 2012 | Kostas Stefanidis and
Eirini Ntoutsi and
Kjetil N{\o}rv{\aa}g and
Hans{-}Peter Kriegel: A Framework for Time-Aware Recommendations. DEXA. Vienna, Austria: Springer, 2012. 329--344 |
|---|
| 2012 | Stefanidis, Kostas and Ntoutsi, Eirini and N{\o}rv{\aa}g, Kjetil and Kriegel, Hans-Peter: A framework for time-aware recommendations. . 2012. |
|---|
| 2012 | Eirini Ntoutsi and
Arthur Zimek and
Themis Palpanas and
Peer Kr{\"{o}}ger and
Hans{-}Peter Kriegel: Density-based Projected Clustering over High Dimensional Data Streams. SDM. Anaheim, California, USA: {SIAM}, 2012. 987--998 |
|---|
| 2012 | Ntoutsi, 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 |
|---|
| 2012 | Max Zimmermann and
Eirini Ntoutsi and
Zaigham Faraz Siddiqui and
Myra Spiliopoulou and
Hans{-}Peter Kriegel: Discovering Global and Local Bursts in a Stream of News. SAC. Trento, Italy: ACM, 2012. 807--812 |
|---|
| 2012 | Zimmermann, 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 |
|---|
| 2012 | Irene Ntoutsi, M. Spiliopoulou, Y. Theordoridis: FINGERPRINT - Summarizing Cluster Evolution in Dynamic Environments. In: Int. Journal of Data Warehousing and Mining (IJDWM), 2012, 27-45 |
|---|
| 2012 | Eirini Ntoutsi and
Kostas Stefanidis and
Kjetil N{\o}rv{\aa}g and
Hans{-}Peter Kriegel: Fast Group Recommendations by Applying User Clustering. ER. Florence, Italy: Springer, 2012. 126--140 |
|---|
| 2012 | Ntoutsi, 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 |
|---|
| 2012 | Claudia Lauschke and
Eirini Ntoutsi: Monitoring User Evolution in {T}witter. ASONAM. Istanbul, Turkey: IEEE Computer Society, 2012. 972--977 |
|---|
| 2012 | Lauschke, 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 |
|---|
| 2012 | Alina Sinelnikova and
Eirini Ntoutsi and
Hans{-}Peter Kriegel: Sentiment Analysis in the {Twitter} Stream. Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery (GFKl). Hildesheim, Germany: 2012. |
|---|
| 2012 | Sinelnikova, Alina and Ntoutsi, Eirini and Kriegel, Hans-Peter: Sentiment analysis in the Twitter stream. In: Bachelor thesis, LMU, Munich, 2012, |
|---|
| 2012 | Eirini Ntoutsi and
Kostas Stefanidis and
Kjetil N{\o}rv{\aa}g and
Hans{-}Peter Kriegel: gRecs: A Collaborative Filtering Framework for Group Recommendations. Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery (GFKl). Hildesheim, Germany: 2012. |
|---|
| 2012 | Eirini Ntoutsi and
Kostas Stefanidis and
Kjetil N{\o}rv{\aa}g and
Hans{-}Peter Kriegel: gRecs: A Group Recommendation System Based on User Clustering. DASFAA. Busan, South Korea: 2012. |
|---|
| 2012 | Ntoutsi, 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 |
|---|
| 2012 | Eirini Ntoutsi and
Myra Spiliopoulou and
Yannis Theodoridis: {FINGERPRINT}: Summarizing Cluster Evolution in Dynamic Environments. In: IJDWM, 8, 2012, 27--45 |
|---|
| 2011 | Hans-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 |
|---|
| 2011 | Kriegel, 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 |
|---|
| 2011 | Kumar Subramani and
Alexander Velkov and
Eirini Ntoutsi and
Peer Kröger and
Hans{-}Peter Kriegel: Density-Based Community Detection in Social Networks. Workshop on Business Applications of Social Network Analysis ({BASNA}), co-located with the Internet Multimedia Systems Architecture and Application ({IMSAA}). Bangalore, India: IEEE, 2011. 1--8 |
|---|
| 2011 | Hans{-}Peter Kriegel and
Peer Kröger and
Eirini Ntoutsi and
Arthur Zimek: Density-Based Subspace Clustering over Dynamic Data. In: Judith Bayard Cushing and
James C. French and
Shawn Bowers, SSDBM. Portland, OR, USA: Springer, 2011. 387--404 |
|---|
| 2011 | Subramani, 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. |
|---|
| 2011 | Nikos Mitsou and
Eirini Ntoutsi and
Dirk Wollherr and
Costas Tzafestas and
Hans{-}Peter Kriegel: Revealing Cluster Formation over Huge Volatile Robotic Data. Workshop on Domain Driven Data Mining ({DDDM}), co-located with ICDM. Vancouver, Canada: IEEE, 2011. 450--457 |
|---|
| 2011 | Mitsou, 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 |
|---|
| 2011 | Irene 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. |
|---|
| 2011 | Irene 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 |
|---|
| 2011 | Eirini Ntoutsi and
Myra Spiliopoulou and
Yannis Theodoridis: Summarizing Cluster Evolution in Dynamic Environments. Computational Science and Its Applications {(ICCSA)}. Santander, Spain: Springer, 2011. 562--577 |
|---|
| 2011 | Ntoutsi, Eirini and Spiliopoulou, Myra and Theodoridis, Yannis: Summarizing cluster evolution in dynamic environments. In: Computational Science and Its Applications-ICCSA 2011, 2011, 562--577 |
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| 2010 | Hans{-}Peter Kriegel and
Peer Kröger and
Eirini Ntoutsi and
Arthur Zimek: Towards Subspace Clustering on Dynamic Data: An Incremental Version of {PreDeCon}. International Workshop on Novel Data Stream Pattern Mining Techniques ({StreamKDD}), co-located with KDD. Washington, DC, USA: ACM, 2010. 31--38 |
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| 2010 | Hans-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 |
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| 2010 | Kriegel, 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 |
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| 2009 | Ilaria Bartolini and
Paolo Ciaccia and
Eirini Ntoutsi and
Marco Patella and
Yannis Theodoridis: The {Panda} Framework for Comparing Patterns. In: DKE, 68, 2009, 244--260 |
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| 2009 | Eirini Ntoutsi and
Myra Spiliopoulou and
Yannis Theodoridis: Tracing Cluster Transitions for Different Cluster Types. In: Control and Cybernetics, 38, 2009, 239--259 |
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| 2009 | Ntoutsi, Irene and Spiliopoulou, Myra and Theodoridis, Yannis: Tracing cluster transitions for different cluster types. In: Control and Cybernetics, 38, 2009, 239--259 |
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| 2008 | Gerasimos Marketos and
Elias Frentzos and
Nikos Giatrakos and
Eirini Ntoutsi and
Nikos Pelekis and
Alessandra Raffaet{\`{a}} and
Yannis Theodoridis: A Framework for Trajectory Data Warehousing. HDMS. Heraklion, Crete: 2008. |
|---|
| 2008 | Eirini Ntoutsi and
Alexandros Kalousis and
Yannis Theodoridis: A General Framework for Estimating Similarity of Datasets and Decision Trees: Exploring Semantic Similarity of Decision Trees. SDM. Atlanta, Georgia, USA: SIAM, 2008. 810--821 |
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| 2008 | Marketos, 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. |
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| 2008 | Ntoutsi, 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 |
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| 2008 | Eirini Ntoutsi and Alexandros Kalousis and Yannis Theodoridis: A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees. HDMS. Heraklion, Crete: 2008. |
|---|
| 2008 | Gerasimos Marketos and
Elias Frentzos and
Eirini Ntoutsi and
Nikos Pelekis and
Alessandra Raffaet{\`a} and
Yannis Theodoridis: Building Real-World Trajectory Warehouses. ACM International Workshop on Data Engineering for Wireless and Mobile Access ({Mobide}). Vancouver, British Columbia, Canada: ACM, 2008. 8--15 |
|---|
| 2008 | Marketos, 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 |
|---|
| 2008 | Eirini Ntoutsi and
Yannis Theodoridis: Comparing Datasets Using Frequent Itemsets: Dependency on the Mining Parameters. In: John Darzentas and
George A. Vouros and
Spyros Vosinakis and
Argyris Arnellos, SETN. Syros, Greece: Springer, 2008. 212--225 |
|---|
| 2008 | Evangelos E. Kotsifakos and
Eirini Ntoutsi and
Yannis Vrahoritis and
Yannis Theodoridis: Monitoring Patterns through an Integrated Management and Mining Tool. ECMLPKDD. Antwerp, Belgium: Springer, 2008. 678--683 |
|---|
| 2008 | Kotsifakos, 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 |
|---|
| 2008 | Evangelos E. Kotsifakos and
Eirini Ntoutsi and
Yannis Vrahoritis and
Yannis Theodoridis: Pattern-Miner: Integrated Management and Mining over Data Mining Models. Proceedings of the 14th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining ({KDD} 2008). Las Vegas, Nevada, USA: ACM, 2008. 1081--1084 |
|---|
| 2008 | Kotsifakos, 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 |
|---|
| 2008 | Nikos Pelekis and
Alessandra Raffaet{\`a} and
Maria Luisa Damiani and
Christelle Vangenot and
Gerasimos Marketos and
Elias Frentzos and
Eirini Ntoutsi and
Yannis Theodoridis: Towards Trajectory Data Warehouses. In: Fosca Giannotti and Dino Pedreschi, Mobility, Data Mining and Privacy: Geographic Knowledge Discovery. Springer, 2008. 189--211 |
|---|
| 2008 | Pelekis, 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 |
|---|
| 2008 | Ntoutsi, 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 |
|---|
| 2008 | Eirini Ntoutsi and
Nikos Mitsou and
Gerasimos Marketos: Traffic mining in a road-network: How does the traffic flow?. In: {IJBIDM}, 3, 2008, 82--98 |
|---|
| 2008 | Elias Frentzos and
Nikos Pelekis and
Eirini Ntoutsi and
Yannis Theodoridis: Trajectory Database Systems. In: Fosca Giannotti and Dino Pedreschi, Mobility, Data Mining and Privacy: Geographic Knowledge Discovery. Springer, 2008. 151--187 |
|---|
| 2008 | Macedo, 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 |
|---|
| 2008 | Macedo, J and Vangenot, Christelle and Othman, Walied and Pelekis, Nikos and Frentzos, Elias and Kuijpers, Bart and Ntoutsi, Eirini and Spaccapietra, Stefano and Theodoridis, Yannis: Trajectory data models. In: Giannotti, Fosca and Pedreschi, Dino, Mobility, Data Mining and Privacy. Springer, 2008. 123--150 |
|---|
| 2008 | Frentzos, 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 |
|---|
| 2008 | Ntoutsi, 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, |
|---|
| 2007 | Pelekis, Nikos and Kopanakis, Ioannis and Ntoutsi, Eirini and Marketos, Gerasimos and Theodoridis, Yannis: Mining Trajectory Databases via a Suite of Distance Operators. Workshop on spatio-temporal data mining, co-located with ICDE, Istanbul, Turkey. {IEEE} Computer Society, 2007. 575-584 |
|---|
| 2007 | Pelekis, 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 |
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| 2007 | Ntoutsi, 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 |
|---|
| 2007 | Eirini Ntoutsi and Nikos Pelekis and Yannis Theodoridis: Pattern {C}omparison in {D}ata {M}ining: {A} {S}urvey. In: David Taniar, Research and Trends in Data Mining Technologies and Applications (Advances in Data Warehousing and Mining). Idea Group Publishing, 2007. 86 -- 120 |
|---|
| 2007 | Nikos Pelekis and
Ioannis Kopanakis and
Gerasimos Marketos and
Eirini Ntoutsi and
Gennady L. Andrienko and
Yannis Theodoridis: Similarity Search in Trajectory Databases. TIME. Alicante, Spain: IEEE Computer Society, 2007. 129--140 |
|---|
| 2007 | Ntoutsi, 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, |
|---|
| 2007 | Myra Spiliopoulou and Eirini Ntoutsi and Yannis Theodoridis: Tracing Cluster Transitions for Different Cluster Types. 3rd ADBIS Workshop on Data Mining and Knowledge Discovery (ADMKD), co-located with ADBIS, Varna, Bulgaria. 2007. |
|---|
| 2007 | Eirini Ntoutsi and
Nikos Mitsou and
Gerasimos Marketos: Traffic Mining in a Road-Network: How Does the Traffic Flow?. Proceedings of the 22nd European Conference on Operational Research ({EURO} XXII). Prague, Czech Republic: 2007. |
|---|
| 2007 | Ntoutsi, Irene and Theodoridis, Yannis: UNIPI-ISL-TR-2007-01 March 2007. 2007, |
|---|
| 2006 | Damiani, 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, |
|---|
| 2006 | Damiani, 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, |
|---|
| 2006 | Myra Spiliopoulou and Eirini Ntoutsi and Yannis Theodoridis and Rene Schult: The {MONIC} framework for Cluster Transition Detection. HDMS. Thessaloniki, Greece: 2006. |
|---|
| 2006 | Myra Spiliopoulou and
Eirini Ntoutsi and
Yannis Theodoridis and
Rene Schult: {MONIC}: Modeling and Monitoring Cluster Transitions. KDD. Philadelphia, PA, USA: ACM, 2006. 706--711 |
|---|
| 2005 | Kotsifakos, Evangelos E. and Ntoutsi, Eirini and Theodoridis, Yannis: Database Support for Data Mining Patterns. PCI. Volos, Greece: Springer, 2005. 14--24 |
|---|
| 2005 | Eirini Ntoutsi and Yannis Theodoridis: Measuring and Evaluating Dissimilarity in Data and Pattern Spaces. Proceedings of VLDB PhD Workshop, co-located with VLDB'05, Trondheim, Norway. 2005. 46--50 |
|---|
| 2005 | Ntoutsi, Irene and Theodoridis, Yannis: Measuring and evaluating dissimilarity in data and pattern spaces. Proceedings of VLDB’05 Phd Workshop. 2005. |
|---|
| 2004 | Bartolini, Ilaria and Ciaccia, Paolo and Ntoutsi, Eirini and Patella, Marco and Theodoridis, Yannis: A Unified and Flexible Framework for Comparing Simple and Complex Patterns. ECMLPKDD. Pisa, Italy: Springer, 2004. 496--499 |
|---|
| 2004 | Ntoutsi, Eirini: The Notion of Similarity in Data and Pattern Spaces. PARMA. Heraklion, Greece: CEUR-WS.org, 2004. 1--10 |
|---|
| 2004 | Ntoutsi, Irene: The Notion of Similarity in Data and Pattern Spaces.. PaRMa. 2004. |
|---|
| 2003 | Ntoutsi, Eirini and Theodoridis, Yannis: Current Issues in Modeling Data Mining Processes and Results. Proceedings of the PANDA Workshop on Pattern-Base Management Systems. Como, Italy: 2003. |
|---|
| 2003 | Ntoutsi, Irene and Theodoridis, Yannis: Current issues in modeling data mining processes and results. PANDA Workshop. 2003. 7 |
|---|
| 2002 | Kalles, Dimitrios and Ntoutsi, Eirini: Interactive Verification of Game Design and Playing Strategies. ICTAI. IEEE, 2002. 425--430 |
|---|
| 2000 | Kalles, Dimitrios and Papagelis, Athanasios and Ntoutsi, Eirini: Induction of decision trees in numeric domains using set-valued attributes. In: IDA, 4, 2000, 323--347 |
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| 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., |
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| 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., |
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| 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., |
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| 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., |
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| 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., |
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| 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., |
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