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Michalis Vlachos


Professeur ordinaire
Département des systèmes d'information

Internef, bureau 135
Tél 021.692.33.00

Adresse postale
Université de Lausanne
Quartier UNIL-Chamberonne
Bâtiment Internef
1015 Lausanne


master Data Mining and Machine Learning
Formation concernée
Maîtrise universitaire ès Sciences en systèmes d'information


Ahmad Ajalloeian

  James Tyler



23 dernières publications classées par: type de publication  -  année

: Revue avec comité de lecture


Vlachos Michalis, Duenner Celestine, Heckel Reinhard , Vassiliadis Vassilios G. , Parnell Thomas P. ; Atasu Kubilay (2019). Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems. IEEE Transactions on Knowledge and Data Engineering.

Atasu K., Parnell T., Dunner C., Sifalakis M., Pozidis H., Vasileiadis V. et al. (2018). Linear-complexity relaxed word Mover’s distance with GPU acceleration. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017, 2018-January, 889-896.

Atasu K., Parnell T., Dunner C., Vlachos M. ; Pozidis H. (2017). High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters. Proceedings of the International Conference on Parallel Processing, 372-381.

Vlachos M., Vassiliadis V.G., Heckel R. ; Labbi A. (2016). Toward interpretable predictive models in B2B recommender systems. IBM Journal of Research and Development, 60.

Vlachos Michalis, Freris Nikolaos M. ; Kyrillidis Anastasios (2015). Compressive mining: fast and optimal data mining in the compressed domain. The VLDB Journal, 24, 1-24.

Vlachos Michalis, Schneider Johannes ; Vassiliadis Vassilios G. (2015). On Data Publishing with Clustering Preservation. ACM Trans. Knowl. Discov. Data, 9, 1-30.

Schneider J. , Vlachos M. (2014). On randomly projected hierarchical clustering with guarantees. SIAM International Conference on Data Mining 2014, SDM 2014, 1, 407-415.

Zoumpoulis Spyros I., Vlachos Michail, Freris Nikolaos M. ; Lucchese Claudio (2014). Right-Protected Data Publishing with Provable Distance-Based Mining. IEEE Trans. Knowl. Data Eng., 26, 2014-2028.

Freris N.M., Vlachos M. ; Turaga D.S. (2012). Cluster-aware compression with provable k-means preservation. Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012, 82-93.

Lucchese Claudio, Vlachos Michail, Rajan Deepak ; Yu Philip S. (2010). Rights protection of trajectory datasets with nearest-neighbor preservation. The VLDB Journal, 19, 531-556.

Vlachos Michail, Kozat Suleyman S. ; Yu Philip S. (2010). Optimal distance bounds for fast search on compressed time-series query logs. ACM Trans. Web, 4, 1-28.

Vlachos Michalis, Anagnostopoulos Aris, Verscheure Olivier ; Yu Philip S. (2008). Online pairing of VoIP conversations. The VLDB Journal, 18, 77-98.

Vlachos Michail, Wu Kun-Lung, Chen Shyh-Kwei ; Yu Philip S. (2007). Correlating burst events on streaming stock market data. Data Mining and Knowledge Discovery, 16, 109-133.


Vlachos Michail (2018). Indexing and Similarity Search. Encyclopedia of Database Systems.

Parties de livre

Heckel Reinhard , Vlachos Michalis (2017). Private and Right-Protected Big Data Publication: An Analysis. Proceedings of the 2017 SIAM International Conference on Data Mining (pp. 660-668). Society for Industrial and Applied Mathematics.

Ratanamahatana Chotirat Ann, Lin Jessica, Gunopulos Dimitrios, Keogh Eamonn, Vlachos Michail ; Das Gautam (2009). Mining Time Series Data. Data Mining and Knowledge Discovery Handbook (pp. 1049-1077). Springer Science $\mathplus$ Business Media.

Actes de conférence (partie)

Fusco Francesco, Vlachos Michalis, Vasileiadis Vasileios , Wardatzky Kathrin ; Schneider Johannes (2019, Jan). RecoNet: An Interpretable Neural Architecture for Recommender Systems. Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence.

Schneider Johannes, Bogojeska Jasmina ; Vlachos Michail (2014, Jan). Solving Linear SVMs with Multiple 1D Projections. Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM 14. Association for Computing Machinery (ACM).

Schneider Johannes , Vlachos Michail (2013, Jan). Fast parameterless density-based clustering via random projections. Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM 13. ACM Press.

Vlachos Michail, Wieczorek Aleksander ; Schneider Johannes (2012, Jan). Right-protected data publishing with hierarchical clustering preservation. Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM 12. Association for Computing Machinery (ACM).

Svonava Daniel , Vlachos Michail (2010, Déc). Visualizing Graphs Using Minimum Spanning Dendrograms. 2010 IEEE International Conference on Data Mining. Institute of Electrical & Electronics Engineers (IEEE).


Schneider Johannes , Vlachos Michalis (2019). Mass Personalization of Deep Learning.

Zouzias Anastasios , Vlachos Michalis (2018). Very-Low Random Projection Maps.


Expériences professionnelles

Research Staff Member: Team Lead on Enterprise Recommender Systems
IBM Research - Zurich

Research Staff Member
IBM Research - New York, USA
Research on time-series analytics, data mining and machine learning

Visiting Researcher
Microsoft Research, Machine Learning and Applied Statistics

Prix et distinctions scientifiques

ERC Starting Grant
"Exact Mining from InExact Data"
Année : 2011

Récipiendaire : Michalis Vlachos

Best Paper Runner Up: SIAM Data Mining International Conference
For work on scalable density-based clustering.
Année : 2014

Outstanding Technical Achievement Award: "Efficient Indexing and Searching on Big Data", IBM
Année : 2015

Best Paper Award, IEEE International Conference in Data Engineering
"Best of ICDE 2017" paper, IEEE International Conference in Data Engineering. For research work on interpretable recommender systems.
Année : 2017

Distinguished Alumnus Award, Informatics Dept., Aristotle University Thessaloniki
Année : 2017

Research Division Award: "Watson Company Analyzer (WCA)", IBM
Année : 2017

Member: IBM Academy of Technology
Année : 2018

IBM Corporate Award
"Data-Driven IBM Sales Transformation"
Année : 2018


  • data science, machine learning, recommender systems, information retrieval


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