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ORCIDMichail Vlachos
Michalis Vlachos
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- affiliation: University of Lausanne, Switzerland
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2020 – today
- 2024
[j30]Johannes Schneider, Michalis Vlachos
:
Reflective-net: learning from explanations. Data Min. Knowl. Discov. 38(5): 2975-2996 (2024)- [j29]Johannes Schneider, Christian Meske, Michalis Vlachos:
Deceptive XAI: Typology, Creation and Detection. SN Comput. Sci. 5(1): 81 (2024) - [j28]Hédi Razgallah, Michalis Vlachos, Ahmad Ajalloeian, Ninghao Liu, Johannes Schneider, Alexis Steinmann:
Using Neural and Graph Neural Recommender Systems to Overcome Choice Overload: Evidence From a Music Education Platform. ACM Trans. Inf. Syst. 42(4): 92:1-92:26 (2024) - [c62]Johannes Schneider, Michalis Vlachos:
A Survey of Deep Learning: From Activations to Transformers. ICAART (2) 2024: 419-430 - [c61]Henri Jamet, Yash Raj Shrestha, Michalis Vlachos:
Difficulty Estimation and Simplification of French Text Using LLMs. ITS (1) 2024: 395-404 - [c60]Henri Jamet, Maxime Manderlier, Yash Raj Shrestha, Michalis Vlachos:
Evaluation and simplification of text difficulty using LLMs in the context of recommending texts in French to facilitate language learning. RecSys 2024: 987-992 - [i15]Henri Jamet, Yash Raj Shrestha, Michalis Vlachos:
Difficulty Estimation and Simplification of French Text Using LLMs. CoRR abs/2407.18061 (2024) - 2023
- [j27]Johannes Schneider, Michalis Vlachos:
Explaining classifiers by constructing familiar concepts. Mach. Learn. 112(11): 4167-4200 (2023) - [j26]Mohammad Aliannejadi, Avi Arampatzis, Guglielmo Faggioli, Nicola Ferro, Anastasia Giachanou, Evangelos Kanoulas, Dan Li, Theodora Tsikrika, Michalis Vlachos, Stefanos Vrochidis:
Report on the 14th Conference and Labs of the Evaluation Forum (CLEF 2023): Experimental IR Meets Multilinguality, Multimodality, and Interaction. SIGIR Forum 57(2): 16:1-16:16 (2023) - [j25]Nikolaos M. Freris, Ahmad Ajalloeian, Michalis Vlachos:
Interpretable Embedding and Visualization of Compressed Data. ACM Trans. Knowl. Discov. Data 17(2): 22:1-22:22 (2023) - [c59]Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard:
Sparse Attacks for Manipulating Explanations in Deep Neural Network Models. ICDM 2023: 918-923 - [e3]Mohammad Aliannejadi, Guglielmo Faggioli, Nicola Ferro, Michalis Vlachos:
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18th to 21st, 2023. CEUR Workshop Proceedings 3497, CEUR-WS.org 2023 [contents] - [e2]Avi Arampatzis, Evangelos Kanoulas, Theodora Tsikrika, Stefanos Vrochidis, Anastasia Giachanou, Dan Li, Mohammad Aliannejadi, Michalis Vlachos, Guglielmo Faggioli, Nicola Ferro:
Experimental IR Meets Multilinguality, Multimodality, and Interaction - 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18-21, 2023, Proceedings. Lecture Notes in Computer Science 14163, Springer 2023, ISBN 978-3-031-42447-2 [contents] - [i14]Johannes Schneider, Michalis Vlachos:
A Survey of Deep Learning: From Activations to Transformers. CoRR abs/2302.00722 (2023) - [i13]Michalis Vlachos, Mircea Lungu, Yash Raj Shrestha, Johannes-Rudolf David:
Large Language Models for Difficulty Estimation of Foreign Language Content with Application to Language Learning. CoRR abs/2309.05142 (2023) - [i12]Johannes Schneider, Bernd Schenk, Christina Niklaus, Michalis Vlachos:
Towards LLM-based Autograding for Short Textual Answers. CoRR abs/2309.11508 (2023) - 2022
- [c58]Ahmad Ajalloeian, Seyed-Mohsen Moosavi-Dezfooli, Michalis Vlachos, Pascal Frossard:
On Smoothed Explanations: Quality and Robustness. CIKM 2022: 15-25 - [c57]Ahmad Ajalloeian, Michalis Vlachos, Johannes Schneider, Alexis Steinmann:
A Case Study in Educational Recommenders: Recommending Music Partitures at Tomplay. CIKM 2022: 2853-2862 - [c56]Johannes Schneider, Christian Meske, Michalis Vlachos:
Deceptive AI Explanations: Creation and Detection. ICAART (2) 2022: 44-55 - [i11]Johannes Schneider, Michail Vlachos:
Explaining Classifiers by Constructing Familiar Concepts. CoRR abs/2203.04109 (2022) - 2021
- [c55]Johannes Schneider, Michalis Vlachos:
Explaining Neural Networks by Decoding Layer Activations. IDA 2021: 63-75 - 2020
- [c54]Nikolaos M. Freris, Chuhan Yang, Michalis Vlachos:
FIDE: Fast and Interpretable 2D Embedding with correlation, distance, and rank considerations. BigCom 2020: 57-65 - [c53]Nikolaos M. Freris, Michalis Vlachos, Ahmad Ajalloeian:
An Interpretable Data Embedding under Uncertain Distance Information. ICDM 2020: 1022-1027 - [e1]Geoffrey I. Webb, Zhongfei Zhang, Vincent S. Tseng, Graham Williams, Michalis Vlachos, Longbing Cao:
7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020. IEEE 2020, ISBN 978-1-7281-8206-3 [contents] - [i10]Johannes Schneider, Joshua Handali, Michalis Vlachos, Christian Meske:
Deceptive AI Explanations: Creation and Detection. CoRR abs/2001.07641 (2020) - [i9]Johannes Schneider, Michalis Vlachos:
Explaining Neural Networks by Decoding Layer Activations. CoRR abs/2005.13630 (2020) - [i8]Johannes Schneider, Michalis Vlachos:
Reflective-Net: Learning from Explanations. CoRR abs/2011.13986 (2020)
2010 – 2019
- 2019
- [j24]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): 1253-1266 (2019) - [c52]Francesco Fusco, Michalis Vlachos, Vasileios Vasileiadis, Kathrin Wardatzky, Johannes Schneider:
RecoNet: An Interpretable Neural Architecture for Recommender Systems. IJCAI 2019: 2343-2349 - [i7]Johannes Schneider, Michail Vlachos:
Mass Personalization of Deep Learning. CoRR abs/1909.02803 (2019) - 2018
- [c51]Anastasios Zouzias, Michail Vlachos:
Very-Low Random Projection Maps. EDBT 2018: 421-424 - [c50]Johannes Schneider, Michail Vlachos:
Topic Modeling based on Keywords and Context. SDM 2018: 369-377 - [r8]Michail Vlachos:
Indexing and Similarity Search. Encyclopedia of Database Systems (2nd ed.) 2018 - [i6]Kubilay Atasu, Vasileios Vasileiadis, Michail Vlachos:
Faster Text Similarity Using a Linear-Complexity Relaxed Word Mover's Distance. ERCIM News 2018(112) (2018) - 2017
- [j23]Johannes Schneider, Michail Vlachos:
Scalable density-based clustering with quality guarantees using random projections. Data Min. Knowl. Discov. 31(4): 972-1005 (2017) - [c49]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: 889-896 - [c48]Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dünner:
Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering. ICDE 2017: 1033-1044 - [c47]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: 372-381 - [c46]Reinhard Heckel, Michail Vlachos:
Private and Right-Protected Big Data Publication: An Analysis. SDM 2017: 660-668 - [r7]George Kollios, Michail Vlachos, Dimitrios Gunopulos:
Trajectories, Discovering Similar. Encyclopedia of GIS 2017: 2302-2309 - [r6]Michail Vlachos:
Dimensionality Reduction. Encyclopedia of Machine Learning and Data Mining 2017: 354-361 - [r5]Michail Vlachos:
Similarity Measures. Encyclopedia of Machine Learning and Data Mining 2017: 1163-1166 - [i5]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 abs/1711.07227 (2017) - 2016
- [j22]Michail Vlachos, Vassilios G. Vassiliadis, Reinhard Heckel, Abdel Labbi:
Toward interpretable predictive models in B2B recommender systems. IBM J. Res. Dev. 60(5/6): 11:1-11:12 (2016) - [i4]Reinhard Heckel, Michail Vlachos:
Interpretable recommendations via overlapping co-clusters. CoRR abs/1604.02071 (2016) - 2015
- [j21]Michail Vlachos, Johannes Schneider, Vassilios G. Vassiliadis:
On Data Publishing with Clustering Preservation. ACM Trans. Knowl. Discov. Data 9(3): 23:1-23:30 (2015) - [j20]Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis:
Compressive mining: fast and optimal data mining in the compressed domain. VLDB J. 24(1): 1-24 (2015) - 2014
- [j19]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): 2014-2028 (2014) - [c45]Anastasios Zouzias, Michail Vlachos, Vagelis Hristidis:
Templated Search over Relational Databases. CIKM 2014: 21-30 - [c44]Johannes Schneider, Jasmina Bogojeska, Michail Vlachos:
Solving Linear SVMs with Multiple 1D Projections. CIKM 2014: 221-230 - [c43]Michail Vlachos, Francesco Fusco, Charalampos Mavroforakis, Anastasios Kyrillidis, Vassilios G. Vassiliadis:
Improving Co-Cluster Quality with Application to Product Recommendations. CIKM 2014: 679-688 - [c42]Anastasios Kyrillidis, Michail Vlachos, Anastasios Zouzias:
Approximate matrix multiplication with application to linear embeddings. ISIT 2014: 2182-2186 - [c41]Johannes Schneider, Michail Vlachos:
On Randomly Projected Hierarchical Clustering with Guarantees. SDM 2014: 407-415 - [i3]Johannes Schneider, Michail Vlachos:
On Randomly Projected Hierarchical Clustering with Guarantees. CoRR abs/1401.5814 (2014) - [i2]Anastasios Kyrillidis, Michail Vlachos, Anastasios Zouzias:
Approximate Matrix Multiplication with Application to Linear Embeddings. CoRR abs/1403.7683 (2014) - [i1]Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis:
Compressive Mining: Fast and Optimal Data Mining in the Compressed Domain. CoRR abs/1405.5873 (2014) - 2013
- [j18]Michail Vlachos, Daniel Svonava:
Recommendation and visualization of similar movies using minimum spanning dendrograms. Inf. Vis. 12(1): 85-101 (2013) - [j17]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): 1240-1253 (2013) - [c40]Johannes Schneider, Michail Vlachos:
Fast parameterless density-based clustering via random projections. CIKM 2013: 861-866 - [c39]Francesco Fusco, Michail Vlachos, Xenofontas A. Dimitropoulos, Luca Deri:
Indexing million of packets per second using GPUs. Internet Measurement Conference 2013: 327-332 - 2012
- [j16]Francesco Fusco, Xenofontas A. Dimitropoulos, Michail Vlachos, Luca Deri:
pcapIndex: an index for network packet traces with legacy compatibility. Comput. Commun. Rev. 42(1): 47-53 (2012) - [j15]Francesco Fusco, Michail Vlachos, Marc Ph. Stoecklin:
Real-time creation of bitmap indexes on streaming network data. VLDB J. 21(3): 287-307 (2012) - [c38]Michail Vlachos, Aleksander Wieczorek, Johannes Schneider:
Right-protected data publishing with hierarchical clustering preservation. CIKM 2012: 654-663 - [c37]Theodoros Lappas, Michail Vlachos:
Customizing search results for non-native speakers. CIKM 2012: 1829-1833 - [c36]Francesco Fusco, Michail Vlachos, Xenofontas A. Dimitropoulos:
RasterZip: compressing network monitoring data with support for partial decompression. Internet Measurement Conference 2012: 51-64 - [c35]Anastasios Zouzias, Michail Vlachos, Nikolaos M. Freris:
Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence. PAKDD (1) 2012: 591-603 - [c34]Nikolaos M. Freris, Michail Vlachos, Deepak S. Turaga:
Cluster-Aware Compression with Provable K-means Preservation. SDM 2012: 82-93 - [c33]Nikolaos M. Freris, Michail Vlachos, Suleyman Serdar Kozat:
Optimal Distance Estimation Between Compressed Data Series. SDM 2012: 343-354 - 2010
- [j14]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): 1382-1393 (2010) - [j13]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): 6:1-6:28 (2010) - [j12]Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu:
Rights protection of trajectory datasets with nearest-neighbor preservation. VLDB J. 19(4): 531-556 (2010) - [c32]Tien Huynh, Michail Vlachos, Isidore Rigoutsos:
Anchoring millions of distinct reads on the human genome within seconds. EDBT 2010: 252-262 - [c31]Daniel Svonava, Michail Vlachos:
Visualizing Graphs Using Minimum Spanning Dendrograms. ICDM 2010: 1073-1078 - [p3]Chotirat Ann Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das:
Mining Time Series Data. Data Mining and Knowledge Discovery Handbook 2010: 1049-1077 - [r4]Michail Vlachos:
Dimensionality Reduction. Encyclopedia of Machine Learning 2010: 274-279 - [r3]Michail Vlachos:
Similarity Measures. Encyclopedia of Machine Learning 2010: 903-906
2000 – 2009
- 2009
- [j11]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): 1431-1449 (2009) - [j10]Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu:
Information discovery across multiple streams. Inf. Sci. 179(19): 3268-3285 (2009) - [j9]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): 241-259 (2009) - [j8]Michail Vlachos, Aris Anagnostopoulos, Olivier Verscheure, Philip S. Yu:
Online pairing of VoIP conversations. VLDB J. 18(1): 77-98 (2009) - [j7]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): 611-630 (2009) - [c30]Deepak S. Turaga, Michail Vlachos, Olivier Verscheure:
On K-Means Cluster Preservation Using Quantization Schemes. ICDM 2009: 533-542 - [c29]Michail Vlachos, Suleyman Serdar Kozat, Philip S. Yu:
Optimal Distance Bounds on Time-Series Data. SDM 2009: 109-120 - [r2]Michail Vlachos:
Indexing and Similarity Search. Encyclopedia of Database Systems 2009: 1438-1442 - 2008
- [j6]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): 109-133 (2008) - [j5]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): 992-1006 (2008) - [c28]Michail Vlachos, Claudio Lucchese, Deepak Rajan, Philip S. Yu:
Ownership protection of shape datasets with geodesic distance preservation. EDBT 2008: 276-286 - [c27]Claudio Lucchese, Michail Vlachos, Deepak Rajan, Philip S. Yu:
Rights Protection of Trajectory Datasets. ICDE 2008: 1349-1351 - [r1]George Kollios, Michail Vlachos, Dimitrios Gunopulos:
Trajectories, Discovering Similar. Encyclopedia of GIS 2008: 1168-1173 - 2007
- [j4]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): 78-88 (2007) - [c26]Tsuyoshi Idé, Spiros Papadimitriou, Michail Vlachos:
Computing Correlation Anomaly Scores Using Stochastic Nearest Neighbors. ICDM 2007: 523-528 - [c25]Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Philip S. Yu:
Visual Exploration of Genomic Data. PKDD 2007: 613-620 - [c24]Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu:
A System for Keyword Search on Textual Streams. SDM 2007: 503-508 - 2006
- [j3]Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek:
Structural Periodic Measures for Time-Series Data. Data Min. Knowl. Discov. 12(1): 1-28 (2006) - [j2]Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh:
Indexing Multidimensional Time-Series. VLDB J. 15(1): 1-20 (2006) - [c23]Vagelis Hristidis, Oscar Valdivia, Michail Vlachos, Philip S. Yu:
Continuous keyword search on multiple text streams. CIKM 2006: 802-803 - [c22]Michail Vlachos, Deepak S. Turaga, Philip S. Yu:
Resource Adaptive Periodicity Estimation of Streaming Data. EDBT 2006: 23-40 - [c21]Deepak S. Turaga, Michail Vlachos, Spiros Papadimitriou, Philip S. Yu:
Slide: Streaming and Load-Adaptive Periodicity Estimation. ICASSP (3) 2006: 1000-1003 - [c20]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: 667-677 - [c19]Aris Anagnostopoulos, Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Philip S. Yu:
Global distance-based segmentation of trajectories. KDD 2006: 34-43 - [c18]Maria Halkidi, Vana Kalogeraki, Dimitrios Gunopulos, Dimitris Papadopoulos, Demetrios Zeinalipour-Yazti, Michail Vlachos:
Efficient Online State Tracking Using Sensor Networks. MDM 2006: 24 - [c17]Michail Vlachos, Spiros Papadimitriou, Zografoula Vagena, Philip S. Yu:
RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings. PKDD 2006: 407-420 - [c16]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: 882-893 - 2005
- [j1]Michail Vlachos, George Kollios, Dimitrios Gunopulos:
Elastic Translation Invariant Matching of Trajectories. Mach. Learn. 58(2-3): 301-334 (2005) - [c15]Michail Vlachos, Zografoula Vagena, Philip S. Yu, Vassilis Athitsos:
Rotation invariant indexing of shapes and line drawings. CIKM 2005: 131-138 - [c14]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: 61-66 - [c13]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: 333-342 - [c12]Michail Vlachos, Zografoula Vagena, Vittorio Castelli, Philip S. Yu:
A Multi-metric Index for Euclidean and Periodic Matching. PKDD 2005: 355-367 - [c11]Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Philip S. Yu:
Fast Burst Correlation of Financial Data. PKDD 2005: 368-379 - [c10]Michail Vlachos, Philip S. Yu, Vittorio Castelli:
On Periodicity Detection and Structural Periodic Similarity. SDM 2005: 449-460 - [p2]Michail Vlachos, Marios Hadjieleftheriou, Eamonn J. Keogh, Dimitrios Gunopulos:
Indexing Multi-Dimensional Trajectories for Similarity Queries. Spatial Databases 2005: 107-128 - [p1]Chotirat (Ann) Ratanamahatana, Jessica Lin, Dimitrios Gunopulos, Eamonn J. Keogh, Michail Vlachos, Gautam Das:
Mining Time Series Data. The Data Mining and Knowledge Discovery Handbook 2005: 1069-1103 - 2004
- [c9]Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos:
Iterative Incremental Clustering of Time Series. EDBT 2004: 106-122 - [c8]Themistoklis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Wagner Truppel:
Online Amnesic Approximation of Streaming Time Series. ICDE 2004: 339-349 - [c7]Michail Vlachos, Dimitrios Gunopulos, Gautam Das:
Rotation invariant distance measures for trajectories. KDD 2004: 707-712 - [c6]Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos:
Identifying Similarities, Periodicities and Bursts for Online Search Queries. SIGMOD Conference 2004: 131-142 - 2003
- [c5]Michail Vlachos, Marios Hadjieleftheriou, Dimitrios Gunopulos, Eamonn J. Keogh:
Indexing multi-dimensional time-series with support for multiple distance measures. KDD 2003: 216-225 - [c4]Sudipto Guha, Dimitrios Gunopulos, Nick Koudas, Divesh Srivastava, Michail Vlachos:
Efficient Approximation Of Optimization Queries Under Parametric Aggregation Constraints. VLDB 2003: 778-789 - 2002
- [c3]Michail Vlachos, Dimitrios Gunopulos, George Kollios:
Robust Similarity Measures for Mobile Object Trajectories. DEXA Workshops 2002: 721-728 - [c2]