Michail Vlachos

According to our database, Michail Vlachos authored at least 109 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Reflective-net: learning from explanations.

Johannes Schneider, Michalis Vlachos

Data Min. Knowl. Discov., September, 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, Alexis Steinmann

ACM Trans. Inf. Syst., July, 2024

Deceptive XAI: Typology, Creation and Detection.

Johannes Schneider, Christian Meske, Michalis Vlachos

SN Comput. Sci., January, 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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Difficulty Estimation and Simplification of French Text Using LLMs.

Henri Jamet, Yash Raj Shrestha, Michalis Vlachos

Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

A Survey of Deep Learning: From Activations to Transformers.

Johannes Schneider, Michalis Vlachos

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

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, Anastasia Giachanou, Evangelos Kanoulas, Dan Li, Theodora Tsikrika, Michalis Vlachos, Stefanos Vrochidis

SIGIR Forum, December, 2023

Explaining classifiers by constructing familiar concepts.

Johannes Schneider, Michalis Vlachos

Mach. Learn., November, 2023

Interpretable Embedding and Visualization of Compressed Data.

Nikolaos M. Freris, Ahmad Ajalloeian, Michalis Vlachos

ACM Trans. Knowl. Discov. Data, February, 2023

Towards LLM-based Autograding for Short Textual Answers.

Johannes Schneider, Bernd Schenk, Christina Niklaus, Michalis Vlachos

CoRR, 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

Sparse Attacks for Manipulating Explanations in Deep Neural Network Models.

Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Deceptive AI Explanations: Creation and Detection.

Johannes Schneider, Christian Meske, Michalis Vlachos

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay.

Ahmad Ajalloeian, Michalis Vlachos, Johannes Schneider, Alexis Steinmann

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

On Smoothed Explanations: Quality and Robustness.

Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Explaining Neural Networks by Decoding Layer Activations.

Johannes Schneider, Michalis Vlachos

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020

Deceptive AI Explanations: Creation and Detection.

Johannes Schneider, Joshua Handali, Michalis Vlachos, Christian Meske

CoRR, 2020

An Interpretable Data Embedding under Uncertain Distance Information.

Nikolaos M. Freris, Michalis Vlachos, Ahmad Ajalloeian

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

FIDE: Fast and Interpretable 2D Embedding with correlation, distance, and rank considerations.

Nikolaos M. Freris, Chuhan Yang, Michalis Vlachos

Proceedings of the 6th International Conference on Big Data Computing and Communications, 2020

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

Mass Personalization of Deep Learning.

Johannes Schneider, Michail Vlachos

CoRR, 2019

RecoNet: An Interpretable Neural Architecture for Recommender Systems.

Francesco Fusco, Michalis Vlachos, Vasileios Vasileiadis, Kathrin Wardatzky, Johannes Schneider

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Indexing and Similarity Search.

Michail Vlachos

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Faster Text Similarity Using a Linear-Complexity Relaxed Word Mover's Distance.

Kubilay Atasu, Vasileios Vasileiadis, Michail Vlachos

ERCIM News, 2018

Topic Modeling based on Keywords and Context.

Johannes Schneider, Michail Vlachos

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Very-Low Random Projection Maps.

Anastasios Zouzias, Michail Vlachos

Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017

Similarity Measures.

Michail Vlachos

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Dimensionality Reduction.

Michail Vlachos

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Trajectories, Discovering Similar.

George Kollios, Michail Vlachos, Dimitrios Gunopulos

Proceedings of the Encyclopedia of GIS., 2017

Scalable density-based clustering with quality guarantees using random projections.

Johannes Schneider, Michail Vlachos

Data Min. Knowl. Discov., 2017

Private and Right-Protected Big Data Publication: An Analysis.

Reinhard Heckel, Michail Vlachos

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters.

Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Michail Vlachos, Haralampos Pozidis

Proceedings of the 46th International Conference on Parallel Processing, 2017

Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering.

Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dünner

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

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

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Toward interpretable predictive models in B2B recommender systems.

Michail Vlachos, Vassilios G. Vassiliadis, Reinhard Heckel, Abdel Labbi

IBM J. Res. Dev., 2016

Interpretable recommendations via overlapping co-clusters.

Reinhard Heckel, Michail Vlachos

CoRR, 2016

2015

Compressive mining: fast and optimal data mining in the compressed domain.

Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis

VLDB J., 2015

On Data Publishing with Clustering Preservation.

Michail Vlachos, Johannes Schneider, Vassilios G. Vassiliadis

ACM Trans. Knowl. Discov. Data, 2015

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 Randomly Projected Hierarchical Clustering with Guarantees.

Johannes Schneider, Michail Vlachos

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Approximate matrix multiplication with application to linear embeddings.

Anastasios Kyrillidis, Michail Vlachos, Anastasios Zouzias

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Templated Search over Relational Databases.

Anastasios Zouzias, Michail Vlachos, Vagelis Hristidis

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Improving Co-Cluster Quality with Application to Product Recommendations.

Michail Vlachos, Francesco Fusco, Charalampos Mavroforakis, Anastasios Kyrillidis, Vassilios G. Vassiliadis

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Solving Linear SVMs with Multiple 1D Projections.

Johannes Schneider, Jasmina Bogojeska, Michail Vlachos

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

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

Recommendation and visualization of similar movies using minimum spanning dendrograms.

Michail Vlachos, Daniel Svonava

Inf. Vis., 2013

Indexing million of packets per second using GPUs.

Francesco Fusco, Michail Vlachos, Xenofontas A. Dimitropoulos, Luca Deri

Proceedings of the 2013 Internet Measurement Conference, 2013

Fast parameterless density-based clustering via random projections.

Johannes Schneider, Michail Vlachos

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Real-time creation of bitmap indexes on streaming network data.

Francesco Fusco, Michail Vlachos, Marc Ph. Stoecklin

VLDB J., 2012

pcapIndex: an index for network packet traces with legacy compatibility.

Francesco Fusco, Xenofontas A. Dimitropoulos, Michail Vlachos, Luca Deri

Comput. Commun. Rev., 2012

Cluster-Aware Compression with Provable K-means Preservation.

Nikolaos M. Freris, Michail Vlachos, Deepak S. Turaga

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Optimal Distance Estimation Between Compressed Data Series.

Nikolaos M. Freris, Michail Vlachos, Suleyman Serdar Kozat

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence.

Anastasios Zouzias, Michail Vlachos, Nikolaos M. Freris

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

RasterZip: compressing network monitoring data with support for partial decompression.

Francesco Fusco, Michail Vlachos, Xenofontas A. Dimitropoulos

Proceedings of the 12th ACM SIGCOMM Internet Measurement Conference, 2012

Right-protected data publishing with hierarchical clustering preservation.

Michail Vlachos, Aleksander Wieczorek, Johannes Schneider

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Customizing search results for non-native speakers.

Theodoros Lappas, Michail Vlachos

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010

Similarity Measures.

Michail Vlachos

Proceedings of the Encyclopedia of Machine Learning, 2010

Dimensionality Reduction.

Michail Vlachos

Proceedings of the Encyclopedia of Machine Learning, 2010

Mining Time Series Data.

Chotirat Ann Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Rights protection of trajectory datasets with nearest-neighbor preservation.

Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu

VLDB J., 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

Net-Fli: On-the-fly Compression, Archiving and Indexing of Streaming Network Traffic.

Francesco Fusco, Marc Ph. Stoecklin, Michail Vlachos

Proc. VLDB Endow., 2010

Visualizing Graphs Using Minimum Spanning Dendrograms.

Daniel Svonava, Michail Vlachos

Proceedings of the ICDM 2010, 2010

Anchoring millions of distinct reads on the human genome within seconds.

Tien Huynh, Michail Vlachos, Isidore Rigoutsos

Proceedings of the EDBT 2010, 2010

2009

Indexing and Similarity Search.

Michail Vlachos

Proceedings of the Encyclopedia of Database Systems, 2009

Online pairing of VoIP conversations.

Michail Vlachos, Aris Anagnostopoulos, Olivier Verscheure, Philip S. Yu

VLDB J., 2009

Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures.

Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Michail Vlachos, Sang-Hee Lee, Pavlos Protopapas

VLDB J., 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

Information discovery across multiple streams.

Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu

Inf. Sci., 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

Optimal Distance Bounds on Time-Series Data.

Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu

Proceedings of the SIAM International Conference on Data Mining, 2009

On K-Means Cluster Preservation Using Quantization Schemes.

Deepak S. Turaga, Michail Vlachos, Olivier Verscheure

Proceedings of the ICDM 2009, 2009

2008

Trajectories, Discovering Similar.

George Kollios, Michail Vlachos, Dimitrios Gunopulos

Proceedings of the Encyclopedia of GIS., 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

Correlating burst events on streaming stock market data.

Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu

Data Min. Knowl. Discov., 2008

Rights Protection of Trajectory Datasets.

Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu

Proceedings of the 24th International Conference on Data Engineering, 2008

Ownership protection of shape datasets with geodesic distance preservation.

Michail Vlachos, Claudio Lucchese, Deepak Rajan, Philip S. Yu

Proceedings of the EDBT 2008, 2008

2007

Domain-Driven, Actionable Knowledge Discovery.

Longbing Cao, Chengqi Zhang, Qiang Yang, David A. Bell, Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu, Ning Zhong, Mafruz Zaman Ashrafi, David Taniar, Eugene Dubossarsky, Warwick Graco

IEEE Intell. Syst., 2007

A System for Keyword Search on Textual Streams.

Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Visual Exploration of Genomic Data.

Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu

Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors.

Tsuyoshi Idé, Spiros Papadimitriou, Michail Vlachos

Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006

Indexing Multidimensional Time-Series.

Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh

VLDB J., 2006

Structural Periodic Measures for Time-Series Data.

Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek

Data Min. Knowl. Discov., 2006

LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures.

Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Sang-Hee Lee, Michail Vlachos

Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings.

Michail Vlachos, Spiros Papadimitriou, Zografoula Vagena, Philip S. Yu

Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006

Efficient Online State Tracking Using Sensor Networks.

Maria Halkidi, Vana Kalogeraki, Dimitrios Gunopulos, Dimitris Papadopoulos, Demetrios Zeinalipour-Yazti, Michail Vlachos

Proceedings of the 7th International Conference on Mobile Data Management (MDM 2006), 2006

Global distance-based segmentation of trajectories.

Aris Anagnostopoulos, Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Philip S. Yu

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Slide: Streaming and Load-Adaptive Periodicity Estimation.

Deepak S. Turaga, Michail Vlachos, Spiros Papadimitriou, Philip S. Yu

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Resource Adaptive Periodicity Estimation of Streaming Data.

Michail Vlachos, Deepak S. Turaga, Philip S. Yu

Proceedings of the Advances in Database Technology, 2006

Continuous keyword search on multiple text streams.

Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu

Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005

Elastic Translation Invariant Matching of Trajectories.

Michail Vlachos, George Kollios, Dimitrios Gunopulos

Mach. Learn., 2005

On Periodicity Detection and Structural Periodic Similarity.

Michail Vlachos, Philip S. Yu, Vittorio Castelli

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Fast Burst Correlation of Financial Data.

Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

A Multi-metric Index for Euclidean and Periodic Matching.

Michail Vlachos, Zografoula Vagena, Vittorio Castelli, Philip S. Yu

Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams.

Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Proceedings of the 2nd Workshop on Data Management for Sensor Networks, 2005

Rotation invariant indexing of shapes and line drawings.

Michail Vlachos, Zografoula Vagena, Philip S. Yu, Vassilis Athitsos

Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Mining Time Series Data.

Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

Indexing Multi-Dimensional Trajectories for Similarity Queries.

Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Dimitrios Gunopulos

Proceedings of the Spatial Databases: Technologies, Techniques and Trends, 2005

2004

Identifying Similarities, Periodicities and Bursts for Online Search Queries.

Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

Rotation invariant distance measures for trajectories.

Michail Vlachos, Dimitrios Gunopulos, Gautam Das

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Online Amnesic Approximation of Streaming Time Series.

Themistoklis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Wagner Truppel

Proceedings of the 20th International Conference on Data Engineering, 2004

Iterative Incremental Clustering of Time Series.

Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos

Proceedings of the Advances in Database Technology, 2004

2003

Efficient Approximation Of Optimization Queries Under Parametric Aggregation Constraints.

Sudipto Guha, Dimitrios Gunopulos, Nick Koudas, Divesh Srivastava, Michail Vlachos

Proceedings of 29th International Conference on Very Large Data Bases, 2003

Indexing multi-dimensional time-series with support for multiple distance measures.

Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002

Non-linear dimensionality reduction techniques for classification and visualization.

Michail Vlachos, Carlotta Domeniconi, Dimitrios Gunopulos, George Kollios, Nick Koudas

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Discovering Similar Multidimensional Trajectories.

Michail Vlachos, Dimitrios Gunopulos, George Kollios

Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

Robust Similarity Measures for Mobile Object Trajectories.

Michail Vlachos, Dimitrios Gunopulos, George Kollios

Proceedings of the 13th International Workshop on Database and Expert Systems Applications (DEXA 2002), 2002