Michalis Vlachos

Publications | Mémoires et thèses

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42 publications

2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2010 | 2009 | 2008 | 2007 |
2024
 
Deceptive XAI: Typology, Creation and Detection
Schneider Johannes, Meske Christian, Vlachos Michalis, 2024. SN Computer Science, 5 (1). Peer-reviewed.
[DOI][serval:BIB_E8B53BC89E03]
 
Using Neural and Graph Neural Recommender systems to Overcome Choice Overload: Evidence from a Music Education Platform
Razgallah Hédi, Vlachos Michalis, Ajalloeian Ahmad, Liu Ninghao, Schneider Johannes, Steinmann Alexis, 2024. ACM Transactions on Information Systems. Peer-reviewed.
[DOI][serval:BIB_7AD01BB3D6D2]
2023
 
Explaining classifiers by constructing familiar concepts
Schneider Johannes, Vlachos Michalis, 2023/11. Machine Learning, 112 (11) pp. 4167-4200. Peer-reviewed.
[DOI][WoS][serval:BIB_B0149200E7B1]
 
Interpretable Embedding and Visualization of Compressed Data
Freris Nikolaos M., Ajalloeian Ahmad, Vlachos Michalis, 2023/05/18. ACM Transactions on Knowledge Discovery from Data. Peer-reviewed.
[DOI][serval:BIB_22BB02EEF65E]
 
Reflective-net: learning from explanations
Schneider Johannes, Vlachos Michalis, 2023/02/14. Data Mining and Knowledge Discovery. Peer-reviewed.
[DOI][WoS][serval:BIB_F25286795667]
 
Experimental IR Meets Multilinguality, Multimodality, and Interaction : 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023, Proceedings
Arampatzis Avi, Kanoulas Evangelos, Tsikrika Theodora, Vrochidis Stefanos, Giachanou Anastasia, Li Dan, Aliannejadi Mohammad, Vlachos Michalis, Faggioli Guglielmo, Ferro Nicola (eds.), 2023., Springer Nature Switzerland.
[DOI][serval:BIB_96D6C4929122]
2022
 
A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay
Ajalloeian Ahmad, Vlachos Michalis, Schneider Johannes, Steinmann Alexis, 2022/10/17. dans Proceedings of the 31st ACM International Conference on Information & Knowledge Management. Peer-reviewed, ACM.
[DOI][serval:BIB_6D305187AE6A]
 
On Smoothed Explanations : Quality and Robustness
Ajalloeian Ahmad, Moosavi-Dezfooli Seyed-Mohsen, Vlachos Michalis, Frossard Pascal, 2022/10/17. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. Peer-reviewed.
[DOI][serval:BIB_5685F2C1690A]
 
Deceptive AI Explanations: Creation and Detection
Schneider Johannes, Meske Christian, Vlachos Michalis, 2022. dans Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART. Peer-reviewed.
[DOI][serval:BIB_97F18AF1E501]
2021
Explaining Neural Networks by Decoding Layer Activations
Schneider Johannes, Vlachos Michalis, 2021. pp. 63-75 dans Advances in Intelligent Data Analysis XIX. Peer-reviewed, Springer International Publishing.
[URN][DOI][serval:BIB_080CC633F32F]
2020
 
[Patent] Load-balancing training of recommender system for heterogeneous systems
Atasu Kubilay, Duenner Celestine, Mittelholzer Thomas, Parnell Thomas, Pozidis Charalambos, Vlachos Michalis, 2020/11/17..
[serval:BIB_83BF959D6F98]
An Interpretable Data Embedding Under Uncertain Distance Information
Freris Nikolaos M., Vlachos Michalis, Ajalloeian Ahmad, 2020/11. dans 2020 IEEE International Conference on Data Mining (ICDM). Peer-reviewed.
[URN][DOI][serval:BIB_8779613E5E2B]
 
FIDE: Fast and Interpretable 2D Embedding with correlation, distance, and rank considerations
Freris Nikolaos M., Yang Chuhan, Vlachos Michalis, 2020/07. dans 2020 6th International Conference on Big Data Computing and Communications (BIGCOM). Peer-reviewed.
[URN][DOI][serval:BIB_1C193E3CABB6]
 
Personalization of Deep Learning
Schneider Johannes, Vlachos Michalis, 2020/04/04. dans Data Science – Analytics and Applications. Peer-reviewed.
[DOI][serval:BIB_8A5DF4951268]
[Patent] Method and device for data mining on compressed data vectors
Nikolaos Freris, Fusco Francesco, Vlachos Michalis, 2020/01/07..
[URN][serval:BIB_3800B12B9CAD]
2019
 
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. Peer-reviewed.
[DOI][serval:BIB_B2A695197950]
 
Mass Personalization of Deep Learning
Schneider Johannes, Vlachos Michalis, 2019..
[serval:BIB_BFEFA955313F]
 
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. Peer-reviewed.
[DOI][serval:BIB_765368764D47]
2018
 
Indexing and Similarity Search
Vlachos Michail, 2018/01/01., Encyclopedia of Database Systems.
[DOI][serval:BIB_255765E318EC]
 
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.
[serval:BIB_A19DC842FBD9]
 
Very-Low Random Projection Maps
Zouzias Anastasios, Vlachos Michalis, 2018. dans Proc. of EDBT. Peer-reviewed.
[DOI][serval:BIB_580A5E338ED5]
2017
 
Linear-complexity relaxed word Mover's distance with GPU acceleration
Atasu Kubilay, Parnell Thomas, Dunner Celestine, Sifalakis Manolis, Pozidis Haralampos, Vasileiadis Vasileios, Vlachos Michalis, Berrospi Cesar, Labbi Abdel, 2017/12. 2017 IEEE International Conference on Big Data (Big Data). Peer-reviewed.
[DOI][serval:BIB_6BD14A4F2C4A]
 
Scalable density-based clustering with quality guarantees using random projections
Schneider Johannes, Vlachos Michalis, 2017/07. Data Mining and Knowledge Discovery, 31 (4) pp. 972-1005. Peer-reviewed.
[DOI][WoS][serval:BIB_0A16EACF3E6E]
 
Private and Right-Protected Big Data Publication: An Analysis
Heckel Reinhard, Vlachos Michalis, 2017/06/30. SIAM International Conference on Data Mining pp. 660-668. Peer-reviewed.
[DOI][serval:BIB_0D4F780EC21C]
 
Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering
Heckel Reinhard, Vlachos Michalis, Parnell Thomas, Duenner Celestine, 2017/04. 2017 IEEE 33rd International Conference on Data Engineering (ICDE). Peer-reviewed.
[DOI][serval:BIB_1C2A8171B1DB]
 
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.
[serval:BIB_67D6DB5AC449]
2016
 
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).
[serval:BIB_E4C0B66279D1]
2015
 
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.
[DOI][serval:BIB_FE712D8EC487]
 
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.
[DOI][serval:BIB_8B6E70B6C1FA]
2014
 
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.
[DOI][serval:BIB_17209A5238A0]
 
Approximate matrix multiplication with application to linear embeddings
Kyrillidis Anastasios, Vlachos Michalis, Zouzias Anastasios, 2014/06. dans 2014 IEEE International Symposium on Information Theory. Peer-reviewed, Institute of Electrical & Electronics Engineers (IEEE).
[DOI][serval:BIB_E14537ADBC50]
 
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.
[serval:BIB_36595C5F7118]
 
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).
[DOI][serval:BIB_1EE7CBAC2360]
2013
 
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.
[DOI][serval:BIB_3A5FEA7529E7]
2012
 
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.
[serval:BIB_04FF2038FBFC]
 
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).
[DOI][serval:BIB_82F11154DEC5]
2010
 
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).
[DOI][serval:BIB_8F5A0D1FC565]
 
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.
[DOI][serval:BIB_2CA44CF4D124]
 
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.
[DOI][serval:BIB_8B187E73CFC3]
2009
 
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.
[DOI][serval:BIB_34EAB4D802EF]
2008
 
Online pairing of VoIP conversations
Vlachos Michalis, Anagnostopoulos Aris, Verscheure Olivier, Yu Philip S., 2008/01. The VLDB Journal, 18 (1) pp. 77-98.
[DOI][serval:BIB_24EA3023284D]
2007
 
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.
[DOI][serval:BIB_7C327F922BB2]
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