Robust Similarity Measures for Mobile Object Trajectories. - Michail Vlachos; Dimitrios Gunopulos; George Kollios (DEXA Workshops, 2002)

Discovering Similar Multidimensional Trajectories. - Michail Vlachos; Dimitrios Gunopulos; George Kollios (ICDE, 2002)

Non-linear dimensionality reduction techniques for classification and visualization. - Michail Vlachos; Carlotta Domeniconi; Dimitrios Gunopulos; George Kollios; Nick Koudas (KDD, 2002)

Indexing multi-dimensional time-series with support for multiple distance measures. - Michail Vlachos; Marios Hadjieleftheriou; Dimitrios Gunopulos; Eamonn J. Keogh (KDD, 2003)

Efficient Approximation Of Optimization Queries Under Parametric Aggregation Constraints. - Sudipto Guha; Dimitrios Gunopulos; Nick Koudas; Divesh Srivastava; Michail Vlachos (VLDB, 2003)

Iterative Incremental Clustering of Time Series. - Jessica Lin 001; Michail Vlachos; Eamonn J. Keogh; Dimitrios Gunopulos (EDBT, 2004)

Online Amnesic Approximation of Streaming Time Series. - Themistoklis Palpanas; Michail Vlachos; Eamonn J. Keogh; Dimitrios Gunopulos; Wagner Truppel (ICDE, 2004)

Rotation invariant distance measures for trajectories. - Michail Vlachos; Dimitrios Gunopulos; Gautam Das 001 (KDD, 2004)

Identifying Similarities, Periodicities and Bursts for Online Search Queries. - Michail Vlachos; Christopher Meek; Zografoula Vagena; Dimitrios Gunopulos (SIGMOD Conference, 2004)

Indexing Multi-Dimensional Trajectories for Similarity Queries. - Michail Vlachos; Marios Hadjieleftheriou; Eamonn J. Keogh; Dimitrios Gunopulos (Spatial Databases, 2005)

Mining Time Series Data. - Chotirat (Ann) Ratanamahatana; Jessica Lin 001; Dimitrios Gunopulos; Eamonn J. Keogh; Michail Vlachos; Gautam Das 001 (The Data Mining and Knowledge Discovery Handbook, 2005)

Rotation invariant indexing of shapes and line drawings. - Michail Vlachos; Zografoula Vagena; Philip S. Yu; Vassilis Athitsos (CIKM, 2005)

The threshold join algorithm for top-k queries in distributed sensor networks. - Demetrios Zeinalipour-Yazti; Zografoula Vagena; Dimitrios Gunopulos; Vana Kalogeraki; Vassilis J. Tsotras; Michail Vlachos; Nick Koudas; Divesh Srivastava (DMSN, 2005)

A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams. - Jessica Lin 001; Michail Vlachos; Eamonn J. Keogh; Dimitrios Gunopulos; Jian-Wei Liu; Shou-Jian Yu; Jia-Jin Le (PAKDD, 2005)

A Multi-metric Index for Euclidean and Periodic Matching. - Michail Vlachos; Zografoula Vagena; Vittorio Castelli; Philip S. Yu (PKDD, 2005)

Fast Burst Correlation of Financial Data. - Michail Vlachos; Kun-Lung Wu; Shyh-Kwei Chen; Philip S. Yu (PKDD, 2005)

On Periodicity Detection and Structural Periodic Similarity. - Michail Vlachos; Philip S. Yu; Vittorio Castelli (SDM, 2005)

Elastic Translation Invariant Matching of Trajectories. - Michail Vlachos; George Kollios; Dimitrios Gunopulos (Mach. Learn., 2005)

Continuous keyword search on multiple text streams. - Vagelis Hristidis; Oscar Valdivia; Michail Vlachos; Philip S. Yu (CIKM, 2006)

Resource Adaptive Periodicity Estimation of Streaming Data. - Michail Vlachos; Deepak S. Turaga; Philip S. Yu (EDBT, 2006)

Slide: Streaming and Load-Adaptive Periodicity Estimation. - Deepak S. Turaga; Michail Vlachos; Spiros Papadimitriou; Philip S. Yu (ICASSP (3), 2006)

Finding "Who Is Talking to Whom" in VoIP Networks via Progressive Stream Clustering. - Olivier Verscheure; Michail Vlachos; Aris Anagnostopoulos; Pascal Frossard; Eric Bouillet; Philip S. Yu (ICDM, 2006)

Global distance-based segmentation of trajectories. - Aris Anagnostopoulos; Michail Vlachos; Marios Hadjieleftheriou; Eamonn J. Keogh; Philip S. Yu (KDD, 2006)

Efficient Online State Tracking Using Sensor Networks. - Maria Halkidi; Vana Kalogeraki; Dimitrios Gunopulos; Dimitris Papadopoulos; Demetrios Zeinalipour-Yazti; Michail Vlachos (MDM, 2006)

RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings. - Michail Vlachos; Spiros Papadimitriou; Zografoula Vagena; Philip S. Yu (PKDD, 2006)

LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures. - Eamonn J. Keogh; Li Wei 001; Xiaopeng Xi; Sang-Hee Lee 003; Michail Vlachos (VLDB, 2006)

Structural Periodic Measures for Time-Series Data. - Michail Vlachos; Philip S. Yu; Vittorio Castelli; Christopher Meek (Data Min. Knowl. Discov., 2006)

Indexing Multidimensional Time-Series. - Michail Vlachos; Marios Hadjieleftheriou; Dimitrios Gunopulos; Eamonn J. Keogh (VLDB J., 2006)

Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors. - Tsuyoshi Idé; Spiros Papadimitriou; Michail Vlachos (ICDM, 2007)

Visual Exploration of Genomic Data. - Michail Vlachos; Bahar Taneri; Eamonn J. Keogh; Philip S. Yu (PKDD, 2007)

A System for Keyword Search on Textual Streams. - Vagelis Hristidis; Oscar Valdivia; Michail Vlachos; Philip S. Yu (SDM, 2007)

Domain-Driven, Actionable Knowledge Discovery. - Longbing Cao; Chengqi Zhang; Qiang Yang 001; David A. Bell; Michail Vlachos; Bahar Taneri; Eamonn J. Keogh; Philip S. Yu; Ning Zhong 001; Mafruz Zaman Ashrafi; David Taniar; Eugene Dubossarsky; et al. (IEEE Intell. Syst., 2007)

Ownership protection of shape datasets with geodesic distance preservation. - Michail Vlachos; Claudio Lucchese; Deepak Rajan; Philip S. Yu (EDBT, 2008)

Rights Protection of Trajectory Datasets. - Claudio Lucchese; Michail Vlachos; Deepak Rajan; Philip S. Yu (ICDE, 2008)

Correlating burst events on streaming stock market data. - Michail Vlachos; Kun-Lung Wu; Shyh-Kwei Chen; Philip S. Yu (Data Min. Knowl. Discov., 2008)

Streaming Time Series Summarization Using User-Defined Amnesic Functions. - Themis Palpanas; Michail Vlachos; Eamonn J. Keogh; Dimitrios Gunopulos (IEEE Trans. Knowl. Data Eng., 2008)

Trajectories, Discovering Similar. - George Kollios; Michail Vlachos; Dimitrios Gunopulos (Encyclopedia of GIS, 2008)

On K-Means Cluster Preservation Using Quantization Schemes. - Deepak S. Turaga; Michail Vlachos; Olivier Verscheure (ICDM, 2009)

Optimal Distance Bounds on Time-Series Data. - Michail Vlachos; Suleyman Serdar Kozat; Philip S. Yu (SDM, 2009)

Finding the K highest-ranked answers in a distributed network. - Demetrios Zeinalipour-Yazti; Zografoula Vagena; Vana Kalogeraki; Dimitrios Gunopulos; Vassilis J. Tsotras; Michail Vlachos; Nick Koudas; Divesh Srivastava (Comput. Networks, 2009)

Information discovery across multiple streams. - Vagelis Hristidis; Oscar Valdivia; Michail Vlachos; Philip S. Yu (Inf. Sci., 2009)

Embedding and Retrieving Private Metadata in Electrocardiograms. - Suleyman Serdar Kozat; Michail Vlachos; Claudio Lucchese; Helga Van Herle; Philip S. Yu (J. Medical Syst., 2009)

Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures. - Eamonn J. Keogh; Li Wei 001; Xiaopeng Xi; Michail Vlachos; Sang-Hee Lee 003; Pavlos Protopapas (VLDB J., 2009)

Online pairing of VoIP conversations. - Michail Vlachos; Aris Anagnostopoulos; Olivier Verscheure; Philip S. Yu (VLDB J., 2009)

Indexing and Similarity Search. - Michail Vlachos (Encyclopedia of Database Systems, 2009)

Anchoring millions of distinct reads on the human genome within seconds. - Tien Huynh; Michail Vlachos; Isidore Rigoutsos (EDBT, 2010)

Visualizing Graphs Using Minimum Spanning Dendrograms. - Daniel Svonava; Michail Vlachos (ICDM, 2010)

Net-Fli: On-the-fly Compression, Archiving and Indexing of Streaming Network Traffic. - Francesco Fusco; Marc Ph. Stoecklin; Michail Vlachos (Proc. VLDB Endow., 2010)

Optimal distance bounds for fast search on compressed time-series query logs. - Michail Vlachos; Suleyman Serdar Kozat; Philip S. Yu (ACM Trans. Web, 2010)

Rights protection of trajectory datasets with nearest-neighbor preservation. - Claudio Lucchese; Michail Vlachos; Deepak Rajan; Philip S. Yu (VLDB J., 2010)

Mining Time Series Data. - Chotirat Ann Ratanamahatana; Jessica Lin 001; Dimitrios Gunopulos; Eamonn J. Keogh; Michail Vlachos; Gautam Das 001 (Data Mining and Knowledge Discovery Handbook, 2010)

Dimensionality Reduction. - Michail Vlachos (Encyclopedia of Machine Learning, 2010)

Similarity Measures. - Michail Vlachos (Encyclopedia of Machine Learning, 2010)

Customizing search results for non-native speakers. - Theodoros Lappas; Michail Vlachos (CIKM, 2012)

Right-protected data publishing with hierarchical clustering preservation. - Michail Vlachos; Aleksander Wieczorek; Johannes Schneider 002 (CIKM, 2012)

RasterZip: compressing network monitoring data with support for partial decompression. - Francesco Fusco; Michail Vlachos; Xenofontas A. Dimitropoulos (Internet Measurement Conference, 2012)

Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence. - Anastasios Zouzias; Michail Vlachos; Nikolaos M. Freris (PAKDD (1), 2012)

Optimal Distance Estimation Between Compressed Data Series. - Nikolaos M. Freris; Michail Vlachos; Suleyman Serdar Kozat (SDM, 2012)

Cluster-Aware Compression with Provable K-means Preservation. - Nikolaos M. Freris; Michail Vlachos; Deepak S. Turaga (SDM, 2012)

pcapIndex: an index for network packet traces with legacy compatibility. - Francesco Fusco; Xenofontas A. Dimitropoulos; Michail Vlachos; Luca Deri (Comput. Commun. Rev., 2012)

Real-time creation of bitmap indexes on streaming network data. - Francesco Fusco; Michail Vlachos; Marc Ph. Stoecklin (VLDB J., 2012)

Fast parameterless density-based clustering via random projections. - Johannes Schneider 002; Michail Vlachos (CIKM, 2013)

Indexing million of packets per second using GPUs. - Francesco Fusco; Michail Vlachos; Xenofontas A. Dimitropoulos; Luca Deri (Internet Measurement Conference, 2013)

Recommendation and visualization of similar movies using minimum spanning dendrograms. - Michail Vlachos; Daniel Svonava (Inf. Vis., 2013)

Crowdsourced Trace Similarity with Smartphones. - Demetrios Zeinalipour-Yazti; Christos Laoudias; Constantinos Costa; Michail Vlachos; Maria I. Andreou; Dimitrios Gunopulos (IEEE Trans. Knowl. Data Eng., 2013)

Solving Linear SVMs with Multiple 1D Projections. - Johannes Schneider 002; Jasmina Bogojeska; Michail Vlachos (CIKM, 2014)

Improving Co-Cluster Quality with Application to Product Recommendations. - Michail Vlachos; Francesco Fusco; Charalampos Mavroforakis; Anastasios Kyrillidis; Vassilios G. Vassiliadis (CIKM, 2014)

Templated Search over Relational Databases. - Anastasios Zouzias; Michail Vlachos; Vagelis Hristidis (CIKM, 2014)

Approximate matrix multiplication with application to linear embeddings. - Anastasios Kyrillidis; Michail Vlachos; Anastasios Zouzias (ISIT, 2014)

On Randomly Projected Hierarchical Clustering with Guarantees. - Johannes Schneider 002; Michail Vlachos (SDM, 2014)

Right-Protected Data Publishing with Provable Distance-Based Mining. - Spyros I. Zoumpoulis; Michail Vlachos; Nikolaos M. Freris; Claudio Lucchese (IEEE Trans. Knowl. Data Eng., 2014)

On Data Publishing with Clustering Preservation. - Michail Vlachos; Johannes Schneider 002; Vassilios G. Vassiliadis (ACM Trans. Knowl. Discov. Data, 2015)

Compressive mining: fast and optimal data mining in the compressed domain. - Michail Vlachos; Nikolaos M. Freris; Anastasios Kyrillidis (VLDB J., 2015)

Interpretable recommendations via overlapping co-clusters. - Reinhard Heckel; Michail Vlachos (CoRR, 2016)

Toward interpretable predictive models in B2B recommender systems. - Michail Vlachos; Vassilios G. Vassiliadis; Reinhard Heckel; Abdel Labbi (IBM J. Res. Dev., 2016)

Linear-complexity relaxed word Mover's distance with GPU acceleration. - Kubilay Atasu; Thomas P. Parnell; Celestine Dünner; Manolis Sifalakis; Haralampos Pozidis; Vasileios Vasileiadis; Michail Vlachos; Cesar Berrospi; Abdel Labbi (IEEE BigData, 2017)

Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering. - Reinhard Heckel; Michail Vlachos; Thomas P. Parnell; Celestine Dünner (ICDE, 2017)

High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters. - Kubilay Atasu; Thomas P. Parnell; Celestine Dünner; Michail Vlachos; Haralampos Pozidis (ICPP, 2017)

Private and Right-Protected Big Data Publication: An Analysis. - Reinhard Heckel; Michail Vlachos (SDM, 2017)

Scalable density-based clustering with quality guarantees using random projections. - Johannes Schneider 002; Michail Vlachos (Data Min. Knowl. Discov., 2017)

Trajectories, Discovering Similar. - George Kollios; Michail Vlachos; Dimitrios Gunopulos (Encyclopedia of GIS, 2017)

Dimensionality Reduction. - Michail Vlachos (Encyclopedia of Machine Learning and Data Mining, 2017)

Similarity Measures. - Michail Vlachos (Encyclopedia of Machine Learning and Data Mining, 2017)

Very-Low Random Projection Maps. - Anastasios Zouzias; Michail Vlachos (EDBT, 2018)

Topic Modeling based on Keywords and Context. - Johannes Schneider 002; Michail Vlachos (SDM, 2018)

Faster Text Similarity Using a Linear-Complexity Relaxed Word Mover's Distance. - Kubilay Atasu; Vasileios Vasileiadis; Michail Vlachos (ERCIM News, 2018)

Indexing and Similarity Search. - Michail Vlachos (Encyclopedia of Database Systems (2nd ed.), 2018)

RecoNet: An Interpretable Neural Architecture for Recommender Systems. - Francesco Fusco; Michalis Vlachos; Vasileios Vasileiadis; Kathrin Wardatzky; Johannes Schneider 002 (IJCAI, 2019)

Mass Personalization of Deep Learning. - Johannes Schneider 002; Michail Vlachos (CoRR, 2019)

Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems. - Michail Vlachos; Celestine Dünner; Reinhard Heckel; Vassilios G. Vassiliadis; Thomas P. Parnell; Kubilay Atasu (IEEE Trans. Knowl. Data Eng., 2019)

FIDE: Fast and Interpretable 2D Embedding with correlation, distance, and rank considerations. - Nikolaos M. Freris; Chuhan Yang; Michalis Vlachos (BigCom, 2020)

An Interpretable Data Embedding under Uncertain Distance Information. - Nikolaos M. Freris; Michalis Vlachos; Ahmad Ajalloeian (ICDM, 2020)

Deceptive AI Explanations: Creation and Detection. - Johannes Schneider 002; Joshua Handali; Michalis Vlachos; Christian Meske (CoRR, 2020)

Explaining Neural Networks by Decoding Layer Activations. - Johannes Schneider 002; Michalis Vlachos (IDA, 2021)

On Smoothed Explanations: Quality and Robustness. - Ahmad Ajalloeian; Seyed-Mohsen Moosavi-Dezfooli; Michalis Vlachos; Pascal Frossard (CIKM, 2022)

A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay. - Ahmad Ajalloeian; Michalis Vlachos; Johannes Schneider 002; Alexis Steinmann (CIKM, 2022)

Deceptive AI Explanations: Creation and Detection. - Johannes Schneider 002; Christian Meske; Michalis Vlachos (ICAART (2), 2022)

Sparse Attacks for Manipulating Explanations in Deep Neural Network Models. - Ahmad Ajalloeian; Seyed-Mohsen Moosavi-Dezfooli; Michalis Vlachos; Pascal Frossard (ICDM, 2023)

Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning. - Michalis Vlachos; Mircea Lungu; Yash Raj Shrestha; Johannes-Rudolf David (CoRR, 2023)

Towards LLM-based Autograding for Short Textual Answers. - Johannes Schneider 002; Bernd Schenk; Christina Niklaus; Michalis Vlachos (CoRR, 2023)

Interpretable Embedding and Visualization of Compressed Data. - Nikolaos M. Freris; Ahmad Ajalloeian; Michalis Vlachos (ACM Trans. Knowl. Discov. Data, 2023)

Explaining classifiers by constructing familiar concepts. - Johannes Schneider 002; Michalis Vlachos (Mach. Learn., 2023)

Report on the 14th Conference and Labs of the Evaluation Forum (CLEF 2023): Experimental IR Meets Multilinguality, Multimodality, and Interaction. - Mohammad Aliannejadi; Avi Arampatzis; Guglielmo Faggioli; Nicola Ferro 001; Anastasia Giachanou; Evangelos Kanoulas; Dan Li 015; Theodora Tsikrika; Michalis Vlachos; Stefanos Vrochidis (SIGIR Forum, 2023)

A Survey of Deep Learning: From Activations to Transformers. - Johannes Schneider 002; Michalis Vlachos (ICAART (2), 2024)

Difficulty Estimation and Simplification of French Text Using LLMs. - Henri Jamet; Yash Raj Shrestha; Michalis Vlachos (ITS (1), 2024)

Evaluation and simplification of text difficulty using LLMs in the context of recommending texts in French to facilitate language learning. - Henri Jamet; Maxime Manderlier; Yash Raj Shrestha; Michalis Vlachos (RecSys, 2024)

Deceptive XAI: Typology, Creation and Detection. - Johannes Schneider 002; Christian Meske; Michalis Vlachos (SN Comput. Sci., 2024)

Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform. - Hédi Razgallah; Michalis Vlachos; Ahmad Ajalloeian; Ninghao Liu; Johannes Schneider 002; Alexis Steinmann (ACM Trans. Inf. Syst., 2024)

Reflective-net: learning from explanations. - Johannes Schneider 002; Michalis Vlachos (Data Min. Knowl. Discov., 2024)