Michalis Vlachos

Publications | Mémoires et thèses

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23 publications

2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2010 | 2009 | 2008 | 2007 |
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems
Vlachos Michalis, Duenner Celestine, Heckel Reinhard , Vassiliadis Vassilios G. , Parnell Thomas P. , Atasu Kubilay, 2019. IEEE Transactions on Knowledge and Data Engineering.
Mass Personalization of Deep Learning
Schneider Johannes, Vlachos Michalis, 2019..
RecoNet: An Interpretable Neural Architecture for Recommender Systems
Fusco Francesco, Vlachos Michalis, Vasileiadis Vasileios , Wardatzky Kathrin , Schneider Johannes , 2019. dans Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence.
Indexing and Similarity Search
Vlachos Michail, 2018/01/01., Encyclopedia of Database Systems.
Linear-complexity relaxed word Mover’s distance with GPU acceleration
Atasu K., Parnell T., Dunner C., Sifalakis M., Pozidis H., Vasileiadis V., Vlachos M., Berrospi C., Labbi A., 2018. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017, 2018-January pp. 889-896.
Very-Low Random Projection Maps
Zouzias Anastasios, Vlachos Michalis, 2018..
Private and Right-Protected Big Data Publication: An Analysis
Heckel Reinhard, Vlachos Michalis, 2017/06/30. pp. 660-668 dans Proceedings of the 2017 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics.
High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters
Atasu K., Parnell T., Dunner C., Vlachos M., Pozidis H., 2017. Proceedings of the International Conference on Parallel Processing pp. 372-381.
Toward interpretable predictive models in B2B recommender systems
Vlachos M., Vassiliadis V.G., Heckel R., Labbi A., 2016. IBM Journal of Research and Development, 60 (5-6).
On Data Publishing with Clustering Preservation
Vlachos Michalis, Schneider Johannes, Vassiliadis Vassilios G., 2015/04. ACM Trans. Knowl. Discov. Data, 9 (3) pp. 1-30.
Compressive mining: fast and optimal data mining in the compressed domain
Vlachos Michalis, Freris Nikolaos M., Kyrillidis Anastasios, 2015. The VLDB Journal, 24 (1) pp. 1-24.
Right-Protected Data Publishing with Provable Distance-Based Mining
Zoumpoulis Spyros I., Vlachos Michail, Freris Nikolaos M., Lucchese Claudio, 2014/08. IEEE Trans. Knowl. Data Eng., 26 (8) pp. 2014-2028.
On randomly projected hierarchical clustering with guarantees
Schneider J., Vlachos M., 2014. SIAM International Conference on Data Mining 2014, SDM 2014, 1 pp. 407-415.
Solving Linear SVMs with Multiple 1D Projections
Schneider Johannes, Bogojeska Jasmina, Vlachos Michail, 2014. dans Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management - CIKM 14, Association for Computing Machinery (ACM).
Fast parameterless density-based clustering via random projections
Schneider Johannes, Vlachos Michail, 2013. dans Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM 13, ACM Press.
Cluster-aware compression with provable k-means preservation
Freris N.M., Vlachos M., Turaga D.S., 2012. Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012 pp. 82-93.
Right-protected data publishing with hierarchical clustering preservation
Vlachos Michail, Wieczorek Aleksander, Schneider Johannes, 2012. dans Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM 12, Association for Computing Machinery (ACM).
Visualizing Graphs Using Minimum Spanning Dendrograms
Svonava Daniel, Vlachos Michail, 2010/12. dans 2010 IEEE International Conference on Data Mining, Institute of Electrical & Electronics Engineers (IEEE).
Optimal distance bounds for fast search on compressed time-series query logs
Vlachos Michail, Kozat Suleyman S., Yu Philip S., 2010/04. ACM Trans. Web, 4 (2) pp. 1-28.
Rights protection of trajectory datasets with nearest-neighbor preservation
Lucchese Claudio, Vlachos Michail, Rajan Deepak, Yu Philip S., 2010/02. The VLDB Journal, 19 (4) pp. 531-556.
Mining Time Series Data
Ratanamahatana Chotirat Ann, Lin Jessica, Gunopulos Dimitrios, Keogh Eamonn, Vlachos Michail, Das Gautam, 2009. pp. 1049-1077 dans Data Mining and Knowledge Discovery Handbook, Springer Science $\mathplus$ Business Media.
Online pairing of VoIP conversations
Vlachos Michalis, Anagnostopoulos Aris, Verscheure Olivier, Yu Philip S., 2008/01. The VLDB Journal, 18 (1) pp. 77-98.
Correlating burst events on streaming stock market data
Vlachos Michail, Wu Kun-Lung, Chen Shyh-Kwei, Yu Philip S., 2007/03. Data Mining and Knowledge Discovery, 16 (1) pp. 109-133.
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