(See also Google Scholar)
TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE (accepted)
Emmanouil Panagiotou, Manuel Heurich, Tim Landgraf, Eirini Ntoutsi
5th ACM International Conference on AI in Finance (ICAIF 2024).
Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-based Editing (accepted)
Yi Cai, Arthur Zimek, Eirini Ntoutsi, Gerhard Wunder
11th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2024).
Synthetic Tabular Data Generation for Class Imbalance and Fairness - A Comparative Study (accepted)
Emmanouil Panagiotou, Arjun Roy, Eirini Ntoutsi
4th workshop on Bias and Fairness in AI, co-located with ECML PKDD.
Adversarial Robustness of VAEs across Intersectional Subgroups (accepted)
Chethan Krishnamurthy Ramanaik, Arjun Roy, Eirini Ntoutsi
4th workshop on Bias and Fairness in AI, co-located with ECML PKDD.
Shape error prediction in 5-axis machining using graph neural networks (accepted)
Julia Huuk, Berend Denkena, Abheek Dhingra, Eirini Ntoutsi
18th CIRP ICME Conference on Intelligent Computation in Manufacturing Engineering.
Exploring Fusion Techniques in Multimodal AI-Based Recruitment Insights from FairCVdb (accepted)
Swati Swati, Arjun Roy, Eirini Ntoutsi
3rd European Workshop on Algorithmic Fairness
FairBranch - Mitigating Bias Transfer in Fair Multi-task Learning (accepted)
Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi
International Joint Conference on Neural Networks (IJCNN)
Towards Cohesion Fairness Harmony - Contrastive Regularization in Individual Fair Graph Clustering (accepted)
Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi
The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
[local copy]
A novel dataset and feature selection for data-driven conceptual design of offshore jacket substructures
Han Qian, Emmanouil Panagiotou, Mengyan Peng, Eirini Ntoutsi, Chongjie Kang, Steffen Marx
Ocean Engineering, 303, 117679.
[local copy]
Studying Bias in Visual Features through the Lens of Optimal Transport
Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi
ECML-PKDD 2023 DAMI journal track
[local copy]
RHALE, Robust and Heterogeneity-aware Accumulated Local Effects
Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
26th European Conference on Artificial Intelligence (ECAI)
[local copy]
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning
Emmanouil Panagiotou, Eirini Ntoutsi
DynXAI workshop, co-located with ECML PKDD 2023.
[local copy]
Regionally Additive Models Explainable-by-design models minimizing feature interactions
Vasilis Gkolemis, Theodore Dalamagas, Eirini Ntoutsi, Christos Diou
XAI-uncertainty workshop, co-located with ECML PKDD 2023.
[local copy]
Affinity Clustering Framework for Data Debiasing using Pairwise Distribution Discrepancy
Siamak Ghodsi, Eirini Ntoutsi
European Workshop on Algorithmic Fairness (EWAF).
[local copy]
Explainable AI-based Generation of Offshore Substructure Designs
Emmanouil Panagiotou, Han Qian, Mareile Wynants, Anton Kriese, Steffen Marx, Eirini Ntoutsi
The 33rd International Ocean and Polar Engineering Conference (ISOPE-2023)
Data-based Conceptual Design of Offshore Jackets Using a Self-developed Database
Han Qian, Emmanouil Panagiotou, Steffen Marx, Eirini Ntoutsi
The 33rd International Ocean and Polar Engineering Conference (ISOPE)
Multi-dimensional discrimination in Law and Machine Learning - A comparative overview
Arjun Roy, Jan Horstmann, Eirini Ntoutsi
ACM Conference on Fairness, Accountability, and Transparency 2023 (FAccT)
[local copy] [video]
Multi-fair capacitated students-topics grouping problem
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
[local copy] [ppt] [video]
A review of clustering models in educational data science towards fairness-aware learning
Tai Le Quy, Gunnar Friege, Eirini Ntoutsi
Peña-Ayala, A. (eds) Educational Data Science: Essentials, Approaches, and Tendencies. Big Data Management. Springer, Singapore.
AdaCC cumulative cost-sensitive boosting for imbalanced classification
Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi
Knowledge and Information Systems (KAIS)
[local copy] [code]
Multi-objective substructure generation
Emmanouil Panagiotou
The 18th EAWE PhD Seminar
Power of Explanations - Towards automatic debiasing in hate speech detection
Yi Cai, Arthur Zimek, Gerhard Wunder, Eirini Ntoutsi
9th IEEE International Conference on Data Science and Advanced Analytics (DSAA)
[local copy] [code]
Evaluation of group fairness measures in student performance prediction problems
Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi
SoGood 2022 – 7th Workshop on Data Science for Social Good@ECML/PKDD 2022
[local copy] [code] [ppt] [video]
A survey on bias in visual datasets
Simone Fabrizzi, Symeon Papadopoulos, Eirini Ntoutsi, Yannis Kompatsiaris
Computer Vision and Image Understanding (CVIU) journal
[local copy]
Multi-fairness under class-imbalance
Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
Discovery Science (DS)2022
[local copy] [video]
Parity-based Cumulative Fairness-aware Boosting
Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi
Knowledge and Information Systems (KAIS)
[local copy] [code]
Learning to Teach Fairness-aware Deep Multi-task Learning
Arjun Roy, Eirini Ntoutsi
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), 2022
[local copy] [code]
A survey on datasets for fairness-aware machine learning
Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2022
[local copy] [code]
AI-based offshore wind turbine design
Emmanouil Panagiotou, Eirini Ntoutsi
The 17th EAWE PhD Seminar
Interpretable Visual Understanding with Cognitive Attention Network
Xuejiao Tang, Wenbin Zhang, Yi Yu, Kea Turner, Tyler Derr, Mengyu Wang, Eirini Ntoutsi
30th ICANN conference 2021
[local copy] [code]
XPROAX-Local explanations for text classification with progressive neighborhood approximation
Yi Cai, Arthur Zimek, Eirini Ntoutsi
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2021
[local copy] [code] [ppt] [video]
Fair-Capacitated Clustering
Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi
Proceedings of The 14th International Conference on Educational Data Mining (EDM), 2021
[local copy] [code] [video]
Consequence-aware Sequential Counterfactual Generation
Philip Naumann , Eirini Ntoutsi
Proceedings of the “European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD)”, pp 682-698,2021
[local copy] [code] [ppt]
Web Futures - Inclusive, Intelligent, Sustainable - The 2020 Manifesto for Web Science
Bettina Berendt, Fabien Gandon, Susan Halford, Wendy Hall, Jim Hendler, Katharina E. Kinder-Kurlanda, Eirini Ntoutsi, Steffen Staab
Manifesto from Dagstuhl Perspectives Workshop 18262
[local copy]
FairNN - Conjoint Learning of Fair Representations for Fair Decisions
Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn
International Conference on Discovery Science (DS), 2020
[local copy] [code]
FABBOO - Online Fairness-aware Learning under Class Imbalance
Vasileios Iosifidis, Eirini Ntoutsi
International Conference on Discovery Science (DS), 2020
[local copy] [code]
Drift-Aware Multi-Memory Model for Imbalanced Data Streams
Amir Abolfazli, Eirini Ntoutsi
IEEE International Conference on Big Data (Big Data), 2020
[local copy] [code]
Resource management for model learning at entity level
Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, Myra Spiliopoulou
Annals of Telecommunications, 75, 549–561, 2020
Active feature acquisition on data streams under feature drift
Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, Myra Spiliopoulou
Annals of Telecommunications, 75, 597–611, 2020
[local copy]
Taxi Demand Prediction using an LSTM-Based Deep Sequence Model and Points of Interest
Bahman Askari, Tai Le Quy, Eirini Ntoutsi
IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), 2020
[local copy]
Bias in data-driven artificial intelligence systems—An introductory survey
Eirini Ntoutsi , Pavlos Fafalios , Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernandez, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab
WIREs Data Mining Knowl Discov.;10,e1356, 2020
[local copy]
Sentiment analysis on big sparse data streams with limited labels
Vasileios Iosifidis, Eirini Ntoutsi
Knowledge and Information Systems, volume 62, pp. 1393–1432, 2020
[local copy]
FAE: A Fairness-Aware Ensemble Framework
Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi
IEEE International Conference on Big Data (Big Data), 2019
[local copy] [code]
AdaFair: Cumulative Fairness Adaptive Boosting
Vasileios Iosifidis, Eirini Ntoutsi
The 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019
[local copy] [code] [ppt]
Active Feature Acquisition For Opinion Stream Classification Under Drift
Ranjith Shivakumaraswamy, Christian Beyer, Vishnu Unnikrishnan, Eirini Ntoutsi, Myra Spiliopoulou
Workshop on Interactive Adaptive Learning (IAL2019), co-located with ECML PKDD 2019
[local copy]
A Neighborhood-augmented LSTM Model forTaxi-Passenger Demand Prediction
Tai Le Quy, Wolfgang Nejdl, Myra Spiliopoulou, Eirini Ntoutsi
Workshop on Multiple-aspect Analysis of Semantic Trajectories (MASTER 2019), co-located with ECML PKDD 2019
[local copy] [code] [ppt]
Fairness-Enhancing Interventions in Stream Classification
Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi
Database and Expert Systems Applications, DEXA, 2019
[local copy] [ppt]
FAHT: an adaptive fairness-aware decision tree classifier
Wenbin Zhang, Eirini Ntoutsi
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
[local copy] [code] [ppt]
Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity
Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi. Myra Spiliopoulou
International Journal of Data Science and Analytics, 1-15, 2019
[local copy]
Exploiting entity information for stream classification over a stream of reviews
Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, Myra Spiliopoulou
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (SAC), 2019
Significance and Limitations of Stable Oxygen Isotope Ratios in the Apatite Phosphate of Archaeological Vertebrate Finds for Provenance Analysis in an Alpine Reference Region
M. Mauder, E. Ntoutsi, P. Kröger, C. Mayr, A. Toncala, S. Hölzl, G. Grupe
Archaeometry61, 1, 194–210, 2019
[local copy]
Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML)
Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Albrecht Zimmermann
Co-located with SIAM Data Mining (SDM), 2019
[local copy]
10 Years of Web Science: Closing The Loop (Dagstuhl Perspectives Workshop 18262)
Susan Halford,James A. Hendler,Eirini Ntoutsi, Steffen Staab
Report from Dagstuhl Perspectives Workshop 18262
[local copy]
Tracking the history and evolution of entities: entity-centric temporal analysis of large social media archives
Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi
International Journal on Digital Libraries volume 21, 5–17, 2020
[local copy]
Reinforcement Learning Based Decision Tree Induction Over Data Streams with Concept Drifts
Christopher Blake, Eirini Ntoutsi
IEEE International Conference on Big Knowledge (ICBK), 2018
[local copy]
Learning under Feature Drifts in Textual Streams
Damianos P. Melidis, Myra Spiliopoulou, Eirini Ntoutsi
Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM), 2018
[local copy]
Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Next Observation Referring to an Entity
Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou
IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 2018
[local copy]
An evaluation of data stream clustering algorithms
Stratos Mansalis, Eirini Ntoutsi, Nikos Pelekis, Yannis Theodoridis
Statistical Analysis and Data Mining- The ASA Data Science Journal, Volume 11, Issue 4 p. 167-187, 2018
[local copy]
Dealing with Bias via Data Augmentation in Supervised Learning
Vasileios Iosifidis, Eirini Ntoutsi
BIAS workshop in conjunction with iConference 2018
[local copy]
Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams
Damianos P. Melidis, Alvaro Veizaga Campero, Vasileios Iosifidis, Eirini Ntoutsi,Myra Spiliopoulou
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics (WIMS), 2018
[local copy]
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets
Pavlos Fafalios, Vasileios Iosifidis, Eirini Ntoutsi, Stefan Dietze
ESWC 2018
[local copy]
Predicting Document Polarities on a Stream without Reading their Contents
C. Beyer, U. Niemann, V. Unnikrishnan, E. Ntoutsi, M. Spiliopoulou
SAC Data Streams track, Pau, France, 2018.
[local copy]
Large Scale Sentiment Learning with Limited Labels
Vasileios Iosifidis, Eirini Ntoutsi
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017
[local copy]
Sentiment Classification over Opinionated Data Streams through Informed Model Adaptation
Vasileios Iosifidis, Eirini Ntoutsi
TPDL, Thessaloniki, Greece, 2017
[local copy]
Multi-aspect Entity-Centric Analysis of Big Social Media Archives
Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi
TPDL, Thessaloniki, Greece, 2017
[local copy]
Social-based Collaborative Filtering
Kostas Stefanidis, Eirini Ntoutsi, Haridimos Kondylakis and Yannis Velegrakis
Encyclopedia of Social Network Analysis and Mining, 2017
[local copy]
Redundancies in Data and their Effect on the Evaluation of Recommendation Systems: A Case Study on the Amazon Reviews Datasets
Daniel Basaran, Eirini Ntoutsi, Arthur Zimek
Proceedings of the 2017 SIAM International Conference on Data Mining (SDM), Houston, Texas, 2017
[local copy]
The Isotopic Fingerprint: New Methods of Data Mining and Similarity Search
Markus Mauder, Eirini Ntoutsi, Peer Kröger, Hans-Peter Kriegel
Grupe G., Grigat A., McGlynn G. (eds) Across the Alps in Prehistory. Springer, Cham. pp 105–125, 2017
Scalable Online-Offline Stream Clustering in Apache Spark
Omar Backhoff, Eirini Ntoutsi
IEEE 16th International Conference on Data Mining Workshops (ICDMW), Barcelona, Spain, 2016
[local copy]
Recommendations beyond the ratings matrix
Eirini Ntoutsi, Kostas Stefanidis
Proceedings of the Workshop on Data-Driven Innovation on the Web, DDI, 2016
[local copy]
Opinion Stream Mining
Myra Spiliopoulou, Eirini Ntoutsi, Max Zimmermann
Encyclopedia of Machine Learning and Data Mining, 2016
[local copy]
Applying Data Mining Methods for the Analysis of Stable Isotope Data in Bioarchaeology
Markus Mauder, Eirini Ntoutsi, Peer Kröger, Christoph Mayr, Gisela Grupe, Anita Toncala, Stefan Hölzl
IEEE 12th International Conference on e-Science (e-Science), 2016
[local copy]
GMMbuilder: User-Driven Discovery of Clustering Structure for Bioarchaeology
Markus Mauder, Yulia Bobkova, Eirini Ntoutsi
ECML PKDD, Italy, 2016
[local copy]
An Uncertain 3D Grid Formulation for Indoor Environment Mapping
Nikos Mitsou, Sheraz Khan, Eirini Ntoutsi, Dirk Wollherr, Costas Tzafestas, Hans-Peter Kriegel
IEEE International Conference on Advanced Intelligent Mechatronics AIM, Banff, Alberta, Canada, 2016
[local copy]
Cluster-based Contextual Recommendations
Kostas Stefanidis, Eirini Ntoutsi
International Conference on Extending Database Technology EDBT, Bordeaux, France, 2016
[local copy]
Extracting opinionated (sub)features from a stream of product reviews using accumulated novelty and internal re-organization
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
Information Sciences, Special Issue on Discovery Science, Elsevier, Volume 329, 876-899, 2016
[local copy]
Ageing-Based Multinomial Naive Bayes Classifiers Over Opinionated Data Streams
Sebastian Wagner, Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECMLPKDD), Porto, Portugal, September 7-11, 2015
[local copy]
Discovering and Monitoring Product Features and the Opinions on them with OPINSTREAM
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
Neurocomputing 150, 318-330, 2015
[local copy]
Online template matching over a stream of digitized documents
Michael Stocker, Christoph Ringlstetter, Matthias Schubert, Eirini Ntoutsi, Hans-Peter Kriegel
Proceedings of the 27th International Conference on Scientific and Statistical Database Management (SSDBM), San Diego, California, USA, June 29-July 1, 2015.
[local copy]
Top-k Computations in MapReduce: A Case Study on Recommendations
Vasilis Efthymiou, Kostas Stefanidis, Eirini Ntoutsi
IEEE International Conference on Big Data (Big Data), Santa Clara, CA, USA, 2015
[local copy]
Data Mining for Isotopic Mapping of Bioarchaeological Finds in a Central European Alpine Passage
Markus Mauder, Eirini Ntoutsi, Peer Kröger, Gisela Grupe
Proceedings of the 27th International Conference on Scientific and Statistical Database Management (SSDBM), San Diego, California, USA, June 29-July 1, 2015
[local copy]
Incremental Active Opinion Learning Over a Stream of Opinionated Documents
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
WISDOM (Workshop on Issues of Sentiment Discovery and Opinion Mining) workshop, in conjunction with KDD 2015, Sydney, Australia, 2015
[local copy]
Information hunting: the many faces of recommendations for data exploration
Kostas Stefanidis, Eirini Ntoutsi, Haridimos Kondylakis
Blog post, SIGMOD blog, online March 10, 2015
Strength Lies in Differences - Diversifying Friends for Recommendations through Subspace Clustering
Eirini Ntoutsi, Kostas Stefanidis, Katharina Rausch, Hans-Peter Kriegel
23rd ACM International Conference on Information and Knowledge Management (CIKM), 2014.
[local copy]
A Semi-supervised Self-Adaptive Classifier over Opinionated Streams
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE) workshop, in conjunction with ICDM 2014, Shenzhen, China, December 14-17, 2014.
[local copy]
Exploring subspace clustering for recommendations
Katharina Rausch, Eirini Ntoutsi, Kostas Stefanidis, Hans-Peter Kriegel
26th International Conference on Scientific and Statistical Database Management (SSDBM), Aalborg, Denmark, June 30-July 2, 2014
[local copy]
The effect of oxygen on the stability of patterns extracted from isotope data
Mauder Markus, Eirini Ntoutsi, Peer Kröger
CAA Germany - CAA Netherlands Flanders Third Joint Chapter Meeting (CAA), Cologne, Germany, October 3-4, 2014
Adaptive semi supervised opinion classifier with forgetting mechanism
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
Data Streams track, in conjunction with SAC 2014, Gyeongju, Korea, March 24-28, 2014
[local copy]
Empirically exploring the effect of oxygen on the isotopic mapping of cremated and uncremated bones of a Central European Alpine passage
Markus Mauder, Eirini Ntoutsi, Gisela Grupe, Peer Kröger
6th International Symposium on Biomolecular Archaeology (ISBA), Basel, Switcherland, August 27-30, 2014
[local copy] [ppt]
Influence of Oxygen Isotope Ratio on Classification
Markus Mauder, Eirini Ntoutsi, Peer Kröger
Technical Report, Transalpine mobility and cultural transfer project, ArchaeoBioCenter, LMU
[local copy]
The OPINSTREAM framework
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
12th Hellenic Data Management Symposium (HDMS), Athens, Greece, July 24-25, 2014
[ppt]
Recommendations through subspace clustering
Katharina Rausch, Eirini Ntoutsi, Kostas Stefanidis, Hans-Peter Kriegel
12th Hellenic Data Management Symposium (HDMS), Athens, Greece, July 24-25, 2014.
[local copy]
MONIC and Followups on Modeling and Monitoring Cluster Transitions
Myra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis, Rene Schult
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Nectar track (ECML-PKDD), September 23-27, Prague, Czech Republic, 2013
[local copy]
Extracting Opinionated (Sub)Features from a Stream of Product Reviews
Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou
Sixteenth International Conference on Discovery Science (DS 2013), October 6-9, 2013, Singapore
[local copy]
A Framework for Modeling, Computing and Presenting Time-Aware Recommendations
Kostas Stefanidis, Eirini Ntoutsi, Mihalis Petropoulos, Kjetil Nørvåg, Hans-Peter Kriegel
Transactions on Large-Scale Data and Knowledge-Centered Systems (TLDKS Journal), Springer, 2013
[local copy]
Clustering high dimensional data: Examining differences and commonalities between subspace clustering and text clustering - A position paper
Kostas Stefanidis, Eirini Ntoutsi, Mihalis Petropoulos, Kjetil Nørvåg, Hans-Peter Kriegel
ACM SIGKKD Explorations Newsletter, Volume 15 Issue 2, December 2013
[local copy]
Density-based Projected Clustering over High Dimensional Data Streams
Eirini Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kröger, and Hans-Peter Kriegel
SIAM International Conference on Data Mining (SDM12), Anaheim, California, USA, 2012
[local copy]
gRecs: A Group Recommendation System Based on User Clustering
Eirini Ntoutsi, Kostas Stefanidis, Kjetil Norvag, Hans-Peter Kriegel
DASFAA 2012, Busan, South Korea, 2012
[local copy]
Fast Group Recommendations by Applying User Clustering
Eirini Ntoutsi, Kostas Stefanidis, Kjetil Nørvåg, Hans-Peter Kriegel
International Conference on Conceptual Modelling (ER 2012), October 15-18, 2012, Florence, Italy.
[local copy]
Discovering Global and Local Bursts in a Stream of News Data
Max Zimmermann, Eirini Ntoutsi, Zaigham Faraz Siddiqui, Myra Spiliopoulou, Hans-Peter Kriegel
Data Streams track, in conjunction with SAC 2012, Trento, Italy, 2012
[local copy]
FINGERPRINT: Summarizing Cluster Evolution in Dynamic Environments
Eirini Ntoutsi , Myra Spiliopoulou, Yannis Theodoridis
International Journal of Data Warehousing and Mining (IJDWM), 8(3):27-45, July-September 2012. Idea Group
[local copy]
A Framework for Time-aware Recommendations
Kostas Stefanidis, Eirini Ntoutsi, Kjetil Nørvåg, Hans-Peter Kriegel
International Conference on Database and Expert Systems Applications (DEXA 2012), September 3-7, 2012, Vienna, Austria.
[local copy]
Monitoring User Evolution in Twitter
Claudia Lauschke, Eirini Ntoutsi
IEEE/ACM Workshop on Business Applications of Social Network Analysis (BASNA), in conjunction with ASONAM 2012, Istanbul, Turkey, 2012.
[local copy]
Sentiment analysis in the Twitter stream
Alina Sinelnikova, Eirini Ntoutsi, Hans-Peter Kriegel
The 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery (GfKl 2012), August 1-3, 2012, Hildesheim, Germany.
[local copy] [ppt]
gRecs: A collaborative Filtering framework for group recommendations.
Eirini Ntoutsi, Kostas Stefanidis, Kjetil Norvag, Hans-Peter Kriegel
The 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery (GfKl 2012), August 1-3, 2012, Hildesheim, Germany.
[local copy] [ppt]
Mining Complex Dynamic Data
Hans-Peter Kriegel, Eirini Ntoutsi, Arthur Zimek, Myra Spiliopoulou, G. Tsoumakas
Tutorial, ECML/PKDD 2011, Athens, Greece
Density Based Subspace Clustering Over Dynamic Data
Hans-Peter Kriegel, Peer Kröger, Eirini Ntoutsi, Arthur Zimek
SSDBM 2011, Portland, Oregon, USA.
[local copy] [ppt]
Revealing cluster formation over huge volatile robotic data
Nikos Mitsou, Eirini Ntoutsi, Dirk Wollherr, Costas Tzafestas, Hans-Peter Kriegel
IEEE Wokshop on Domain Driven Data Mining (DDDM), in conjunction with ICDM 2011, Vancouver, Canada, 2011
[local copy] [ppt]
Density-based community detection in social networks
Kumar Subramani, Alexander Velkov, Eirini Ntoutsi, Peer Kroger, Hans-Peter Kriegel
IEEE Workshop on Business Applications of Social Network Analysis (BASNA), in conjunction with IMSAA 2011, Bangalore, India, 2011
[local copy]
Summarizing Cluster Evolution in Dynamic Environments
Eirini Ntoutsi, Myra Spiliopoulou, Yannis Theodoridis
Proc. of 11th International Conference on Computational Science and Its Applications (ICCSA’11), Santander, Spain, 2011.Springer.
[local copy] [ppt]
The PANDA framework for comparing patterns
Ilaria Bartolini, Paolo Ciaccia, Eirini Ntoutsi, Marco Patella, Yannis Theodoridis
Data & Knowledge Engineering, 68(2), 244-260, February 2009. Elsevier Science.
[local copy]
Tracing cluster transitions for different cluster types
Eirini Ntoutsi, Myra Spiliopoulou, Yannis Theodoridis
Control and Cybernetics Journal, 38(1) 239-260, 2009. Polish Academy of Sciences.
[local copy]
A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
Eirini Ntoutsi, Alexandros Kalousis, Yannis Theodoridis
SIAM International Conference on Data Mining (SDM08), Atlanta, Georgia, 2008.
[local copy]
PATTERN-MINER: Integrated Management and Mining over Data Mining Models (Demo)
Evangelos E. Kotsifakos, Eirini Ntoutsi, Yannis Vrahoritis, Yannis Theodoridis
Proc. of 14th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’08), Las Vegas, USA, 2008.
[local copy]
Monitoring Patterns through an Integrated Management and Mining Tool (Demo)
Evangelos E. Kotsifakos, Eirini Ntoutsi, Yannis Vrahoritis, Yannis Theodoridis
Proc. of Machine Learning and Knowledge Discovery in Databases, European Conference (ECML/PKDD’08), Antwerp, Belgium, 2008.
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Towards Trajectory Data Warehouses
N. Pelekis, A. Raffaetà, M. -L. Damiani, C. Vangenot, G. Marketos, E. Frentzos, I. Ntoutsi, Y. Theodoridis
In F. Giannotti and D. Pedreschi (eds), Mobility, Data Mining and Privacy, Springer, 2008
Trajectory Database Systems
E. Frentzos, N. Pelekis, I. Ntoutsi, Y. Theodoridis
In F. Giannotti and D. Pedreschi (eds), Mobility, Data Mining and Privacy, Springer, 2008.
Trajectory data models
J. Macedo, C. Vangenot, W. Othman, N. Pelekis, E. Frentzos, B. Kuijpers, I. Ntoutsi, S. Spaccapietra, Y. Theodoridis
In F. Giannotti and D. Pedreschi (eds), Mobility, Data Mining and Privacy, Springer, 2008.
Building Real World Trajectory Warehouses
Gerasimos Marketos, Elias Frentzos, Eirini Ntoutsi, Nikos Pelekis, Alessandra Raffaetà, Yannis Theodoridis
Proc. 7th International ACM SIGMOD Workshop on Data Engineering for Wireless and Mobile Access (MobiDE’08), Vancouver, Canada, June 2008.
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Traffic mining in a road-network: How does the traffic flow?
Eirini Ntoutsi, Nikos Mitsou and Gerasimos Marketos
International Journal of Business Intelligence and Data Mining (IJBIDM), Special Issue on “KDD for Decision Making and Optimization”, 3(1), 82-98, 2008
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Similarity Issues in Data Mining - Methodologies and Techniques
Eirini Ntoutsi
PhD thesis, Department of Informatics, University of Piraeus, Greece, 2008.
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Comparing Datasets Using Frequent Itemsets: Dependency on the Mining Parameters
Eirini Ntoutsi, Yannis Theodoridis
Proc. of 5th Hellenic Conference on Artificial Intelligence (SETN’08), Syros, Greece, 2008.
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A Framework for Trajectory Data Warehousing
Gerasimos Marketos, Elias Frentzos, Nikos Giatrakos, Eirini Ntoutsi, Nikos Pelekis, Alessandra Raffaeta, Yannis Theodoridis
Proc. 7th Hellenic Data Management Symposium (HDMS 2008), Heraclion, Greece, July 2008.
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A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees
Eirini Ntoutsi, Alexandros Kalousis, and Yannis Theodoridis
Proceedings of the 2008 SIAM International Conference on Data Mining (SDM), 2008.
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Similarity Search in Trajectory Databases
Nikos Pelekis, Ioannis Kopanakis, Gerasimos Marketos, Eirini Ntoutsi, Gennady Andrienko, Yannis Theodoridis
14th International Symposium on Temporal Representation and Reasoning (TIME 2007), 2007.
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Mining Trajectory Databases via a Suite of Distance Operators
Nikos Pelekis, Ioannis Kopanakis, Eirini Ntoutsi, Gerasimos Marketos, Yannis Theodoridis
Workshop on Spatio-Temporal Data Mining (STDM07), in conjunction with ICDE 2007 Conference, Istanbul, Turkey, 2007.
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Pattern Comparison in Data Mining: A Survey
Eirini Ntoutsi, Nikos Pelekis, Yannis Theodoridis
Research and Trends in Data Mining Technologies and Applications - Advances in Data Warehousing and Mining, Idea Group Publishing, 2007.
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Tracing Cluster Transitions for Different Cluster Types
Myra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis
3rd ADBIS Workshop on Data Mining and Knowledge Discovery (ADMKD 2007), Varna, Bulgaria, 2007.
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Traffic mining in a road-network: How does the traffic flow?
Eirini Ntoutsi, Nikos Mitsou, Gerasimos Marketos
Data Mining and Knowledge Discovery Stream, in EURO XXII - 2007 European Conference on Operational Research, Prague, Czech Republic, 2007
Tracing Cluster Transitions for Different Cluster Types
Myra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis
UNIPI-ISL-TR-2007-03, Technical Report Series, Information Systems Lab., University of Piraeus, Piraeus, Greece, July 2007.
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The notion of patterns in Data Mining
Eirini Ntoutsi, Yannis Theodoridis
UNIPI-ISL-TR-2007-02, Technical Report Series, Information Systems Lab., University of Piraeus, Piraeus, Greece, March 2007.
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Pattern Management
Eirini Ntoutsi, Yannis Theodoridis
UNIPI-ISL-TR-2007-02, Technical Report Series, Information Systems Lab., University of Piraeus, Piraeus, Greece, March 2007.
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MONIC - Modeling and Monitoring Cluster Transitions
Myra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis, Rene Schult
Proc. of 12th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2006), Philadelphia, USA, 2006.
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The MONIC framework for Cluster Transition Detection
Myra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis, Rene Schult
5th Hellenic Data Management Symposium (HDMS 2006), Thessaloniki, Greece, 2006.
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Mining the Volatile Web
Myra Spiliopoulou, Eirini Ntoutsi, Yannis Theodoridis
Tutorial, ECML/PKDD, Porto, Portugal, 2005.
Measuring and Evaluating Dissimilarity in Data and Pattern Spaces
Eirini Ntoutsi, Yannis Theodoridis
VLDB Phd Workshop, in conjunction with VLDB 2005 Conference, Trondheim, Norway, 2005.
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Database Support for Data Mining Patterns
Evangelos Kotsifakos, Eirini Ntoutsi, Yannis Theodoridis
10th Panhellenic Conference on Informatics (PCI’2005), Volos, Greece, 2005.
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A Unified and Flexible Framework for Comparing Simple and Complex Patterns
Ilaria Bartolini, Paolo Ciaccia, Eirini Ntoutsi, Marco Patella, Yannis Theodoridis
PKDD, Pisa, Italy, 2004
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The notion of similarity in data and pattern space
Eirini Ntoutsi
Proceedings of PARMA workshop on Pattern Representation and Management (ParMa’ 04), in conjunction with EDBT 2004 Conference, Heraclion, Crete, Greece, 2004.
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Current Issues in Modeling Data Mining Processes and Results
Eirini Ntoutsi
Proceedings of PANDA Workshop on Pattern-Base Management Systems, Como, Italy, 2003.
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Data mining from news data and association with real data
Eirini Ntoutsi
MSc thesis (in Greek), Computer Engineering and Informatics Department (CEID), University of Patras, Greece, 2003
Interactive Verification of Game Design and Playing Strategies
Dimitris Kalles, Eirini Ntoutsi
14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002)
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Modeling and improvement of human ability in strategy games
Eirini Ntoutsi
BSc thesis (in Greek), Computer Engineering and Informatics Department (CEID), University of Patras, Greece, 2001.
Scalable and interoperable e-commerce infrastructures: The Instant Commerce Server paradigm
Dimitris Dadiotis, Dimitris Kalles, Eirini Ntoutsi, Athanassios Papagelis
PHCI Workshop-Transforming Web Surfers to E-Shoppers, Patras, Greece, 2001
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Induction of decision trees in numeric domains using set-valued attributes
Dimitris Kalles, Athanassios Papagelis, Eirini Ntoutsi
Intelligent Data Analysis (IDA), 3(4), 323-347, 2000.
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