Michail Vlachos

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 14

Top Topics

Matrix Multiplication

Recommender Systems

Product Recommendation

Hierarchical Clustering

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Johannes Schneider, Michail Vlachos
Explaining Classifiers by Constructing Familiar Concepts. CoRR (2022)
Johannes Schneider, Michail Vlachos
Mass Personalization of Deep Learning. CoRR (2019)
Michail Vlachos, Celestine Dünner, Reinhard Heckel, Vassilios G. Vassiliadis, Thomas P. Parnell, Kubilay Atasu
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Anastasios Zouzias, Michail Vlachos
Very-Low Random Projection Maps. EDBT (2018)
Kubilay Atasu, Vasileios Vasileiadis, Michail Vlachos
Faster Text Similarity Using a Linear-Complexity Relaxed Word Mover's Distance. ERCIM News 2018 (112) (2018)
Johannes Schneider, Michail Vlachos
Topic Modeling based on Keywords and Context. SDM (2018)
Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi
Linear-Complexity Relaxed Word Mover's Distance with GPU Acceleration. CoRR (2017)
Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Michail Vlachos, Haralampos Pozidis
High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters. ICPP (2017)
Reinhard Heckel, Michail Vlachos
Private and Right-Protected Big Data Publication: An Analysis. SDM (2017)
Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dünner
Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering. ICDE (2017)
Johannes Schneider, Michail Vlachos
Scalable density-based clustering with quality guarantees using random projections. Data Min. Knowl. Discov. 31 (4) (2017)
Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi
Linear-complexity relaxed word Mover's distance with GPU acceleration. IEEE BigData (2017)
Reinhard Heckel, Michail Vlachos
Interpretable recommendations via overlapping co-clusters. CoRR (2016)
Michail Vlachos, Vassilios G. Vassiliadis, Reinhard Heckel, A. Labbi
Toward interpretable predictive models in B2B recommender systems. IBM J. Res. Dev. 60 (5/6) (2016)
Michail Vlachos, Johannes Schneider, Vassilios G. Vassiliadis
On Data Publishing with Clustering Preservation. ACM Trans. Knowl. Discov. Data 9 (3) (2015)
Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis
Compressive mining: fast and optimal data mining in the compressed domain. VLDB J. 24 (1) (2015)
Johannes Schneider, Michail Vlachos
On Randomly Projected Hierarchical Clustering with Guarantees. CoRR (2014)
Spyros I. Zoumpoulis, Michail Vlachos, Nikolaos M. Freris, Claudio Lucchese
Right-Protected Data Publishing with Provable Distance-Based Mining. IEEE Trans. Knowl. Data Eng. 26 (8) (2014)
Anastasios Zouzias, Michail Vlachos, Vagelis Hristidis
Templated Search over Relational Databases. CIKM (2014)
Michail Vlachos, Francesco Fusco, Charalampos Mavroforakis, Anastasios Kyrillidis, Vassilios G. Vassiliadis
Improving Co-Cluster Quality with Application to Product Recommendations. CIKM (2014)
Johannes Schneider, Michail Vlachos
On Randomly Projected Hierarchical Clustering with Guarantees. SDM (2014)
Anastasios Kyrillidis, Michail Vlachos, Anastasios Zouzias
Approximate matrix multiplication with application to linear embeddings. ISIT (2014)
Anastasios Kyrillidis, Michail Vlachos, Anastasios Zouzias
Approximate Matrix Multiplication with Application to Linear Embeddings. CoRR (2014)
Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis
Compressive Mining: Fast and Optimal Data Mining in the Compressed Domain. CoRR (2014)
Johannes Schneider, Jasmina Bogojeska, Michail Vlachos
Solving Linear SVMs with Multiple 1D Projections. CIKM (2014)
Johannes Schneider, Michail Vlachos
Fast parameterless density-based clustering via random projections. CIKM (2013)
Demetrios Zeinalipour-Yazti, Christos Laoudias, Constantinos Costa, Michail Vlachos, Maria I. Andreou, Dimitrios Gunopulos
Crowdsourced Trace Similarity with Smartphones. IEEE Trans. Knowl. Data Eng. 25 (6) (2013)
Michail Vlachos, Daniel Svonava
Recommendation and visualization of similar movies using minimum spanning dendrograms. Inf. Vis. 12 (1) (2013)
Francesco Fusco, Michail Vlachos, Xenofontas A. Dimitropoulos, Luca Deri
Indexing million of packets per second using GPUs. Internet Measurement Conference (2013)
Anastasios Zouzias, Michail Vlachos, Nikolaos M. Freris
Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence. PAKDD (1) (2012)
Michail Vlachos, Aleksander Wieczorek, Johannes Schneider
Right-protected data publishing with hierarchical clustering preservation. CIKM (2012)
Nikolaos M. Freris, Michail Vlachos, Deepak S. Turaga
Cluster-Aware Compression with Provable K-means Preservation. SDM (2012)
Nikolaos M. Freris, Michail Vlachos, Suleyman Serdar Kozat
Optimal Distance Estimation Between Compressed Data Series. SDM (2012)
Theodoros Lappas, Michail Vlachos
Customizing search results for non-native speakers. CIKM (2012)
Francesco Fusco, Michail Vlachos, Marc Ph. Stoecklin
Real-time creation of bitmap indexes on streaming network data. VLDB J. 21 (3) (2012)
Francesco Fusco, Xenofontas A. Dimitropoulos, Michail Vlachos, Luca Deri
pcapIndex: an index for network packet traces with legacy compatibility. Comput. Commun. Rev. 42 (1) (2012)
Francesco Fusco, Michail Vlachos, Xenofontas A. Dimitropoulos
RasterZip: compressing network monitoring data with support for partial decompression. Internet Measurement Conference (2012)
Daniel Svonava, Michail Vlachos
Visualizing Graphs Using Minimum Spanning Dendrograms. ICDM (2010)
Francesco Fusco, Marc Ph. Stoecklin, Michail Vlachos
Net-Fli: On-the-fly Compression, Archiving and Indexing of Streaming Network Traffic. Proc. VLDB Endow. 3 (2) (2010)
Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu
Optimal distance bounds for fast search on compressed time-series query logs. ACM Trans. Web 4 (2) (2010)
Tien Huynh, Michail Vlachos, Isidore Rigoutsos
Anchoring millions of distinct reads on the human genome within seconds. EDBT (2010)
Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu
Rights protection of trajectory datasets with nearest-neighbor preservation. VLDB J. 19 (4) (2010)
Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Michail Vlachos, Sang-Hee Lee, Pavlos Protopapas
Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures. VLDB J. 18 (3) (2009)
Suleyman Serdar Kozat, Michail Vlachos, Claudio Lucchese, Helga Van Herle, Philip S. Yu
Embedding and Retrieving Private Metadata in Electrocardiograms. J. Medical Syst. 33 (4) (2009)
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Vana Kalogeraki, Dimitrios Gunopulos, Vassilis J. Tsotras, Michail Vlachos, Nick Koudas, Divesh Srivastava
Finding the K highest-ranked answers in a distributed network. Comput. Networks 53 (9) (2009)
Michail Vlachos, Aris Anagnostopoulos, Olivier Verscheure, Philip S. Yu
Online pairing of VoIP conversations. VLDB J. 18 (1) (2009)
Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu
Optimal Distance Bounds on Time-Series Data. SDM (2009)
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu
Information discovery across multiple streams. Inf. Sci. 179 (19) (2009)
Deepak S. Turaga, Michail Vlachos, Olivier Verscheure
On K-Means Cluster Preservation Using Quantization Schemes. ICDM (2009)
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Correlating burst events on streaming stock market data. Data Min. Knowl. Discov. 16 (1) (2008)
Michail Vlachos, Claudio Lucchese, Deepak Rajan, Philip S. Yu
Ownership protection of shape datasets with geodesic distance preservation. EDBT (2008)
Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu
Rights Protection of Trajectory Datasets. ICDE (2008)
Themis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos
Streaming Time Series Summarization Using User-Defined Amnesic Functions. IEEE Trans. Knowl. Data Eng. 20 (7) (2008)
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu
A System for Keyword Search on Textual Streams. SDM (2007)
Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu
Visual Exploration of Genomic Data. PKDD (2007)
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
Domain-Driven, Actionable Knowledge Discovery. IEEE Intell. Syst. 22 (4) (2007)
Tsuyoshi Idé, Spiros Papadimitriou, Michail Vlachos
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors. ICDM (2007)
Deepak S. Turaga, Michail Vlachos, Spiros Papadimitriou, Philip S. Yu
Slide: Streaming and Load-Adaptive Periodicity Estimation. ICASSP (3) (2006)
Olivier Verscheure, Michail Vlachos, Aris Anagnostopoulos, Pascal Frossard, Eric Bouillet, Philip S. Yu
Finding "Who Is Talking to Whom" in VoIP Networks via Progressive Stream Clustering. ICDM (2006)
Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek
Structural Periodic Measures for Time-Series Data. Data Min. Knowl. Discov. 12 (1) (2006)
Michail Vlachos, Spiros Papadimitriou, Zografoula Vagena, Philip S. Yu
RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings. PKDD (2006)
Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh
Indexing Multidimensional Time-Series. VLDB J. 15 (1) (2006)
Eamonn J. Keogh, Li Wei, Xiaopeng Xi, Sang-Hee Lee, Michail Vlachos
LB_Keogh Supports Exact Indexing of Shapes under Rotation Invariance with Arbitrary Representations and Distance Measures. VLDB (2006)
Maria Halkidi, Vana Kalogeraki, Dimitrios Gunopulos, Dimitris Papadopoulos, Demetrios Zeinalipour-Yazti, Michail Vlachos
Efficient Online State Tracking Using Sensor Networks. MDM (2006)
Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu
Continuous keyword search on multiple text streams. CIKM (2006)
Michail Vlachos, Deepak S. Turaga, Philip S. Yu
Resource Adaptive Periodicity Estimation of Streaming Data. EDBT (2006)
Aris Anagnostopoulos, Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Philip S. Yu
Global distance-based segmentation of trajectories. KDD (2006)
Michail Vlachos, Zografoula Vagena, Philip S. Yu, Vassilis Athitsos
Rotation invariant indexing of shapes and line drawings. CIKM (2005)
Michail Vlachos, George Kollios, Dimitrios Gunopulos
Elastic Translation Invariant Matching of Trajectories. Mach. Learn. 58 (2-3) (2005)
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu
Fast Burst Correlation of Financial Data. PKDD (2005)
Michail Vlachos, Philip S. Yu, Vittorio Castelli
On Periodicity Detection and Structural Periodic Similarity. SDM (2005)
Michail Vlachos, Zografoula Vagena, Vittorio Castelli, Philip S. Yu
A Multi-metric Index for Euclidean and Periodic Matching. PKDD (2005)
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Dimitrios Gunopulos, Vana Kalogeraki, Vassilis J. Tsotras, Michail Vlachos, Nick Koudas, Divesh Srivastava
The threshold join algorithm for top-k queries in distributed sensor networks. DMSN (2005)
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Jian-Wei Liu, Shou-Jian Yu, Jia-Jin Le
A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams. PAKDD (2005)
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos
Iterative Incremental Clustering of Time Series. EDBT (2004)
Themistoklis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Wagner Truppel
Online Amnesic Approximation of Streaming Time Series. ICDE (2004)
Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos
Identifying Similarities, Periodicities and Bursts for Online Search Queries. SIGMOD Conference (2004)
Michail Vlachos, Dimitrios Gunopulos, Gautam Das
Rotation invariant distance measures for trajectories. KDD (2004)
Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh
Indexing multi-dimensional time-series with support for multiple distance measures. KDD (2003)
Sudipto Guha, Dimitrios Gunopulos, Nick Koudas, Divesh Srivastava, Michail Vlachos
Efficient Approximation Of Optimization Queries Under Parametric Aggregation Constraints. VLDB (2003)
Michail Vlachos, Dimitrios Gunopulos, George Kollios
Robust Similarity Measures for Mobile Object Trajectories. DEXA Workshops (2002)
Michail Vlachos, Dimitrios Gunopulos, George Kollios
Discovering Similar Multidimensional Trajectories. ICDE (2002)
Michail Vlachos, Carlotta Domeniconi, Dimitrios Gunopulos, George Kollios, Nick Koudas
Non-linear dimensionality reduction techniques for classification and visualization. KDD (2002)