default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichail Vlachos
Michalis Vlachos
Person information
- affiliation: University of Lausanne, Switzerland
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]Michail Vlachos, Dimitrios Gunopulos, George Kollios:
Discovering Similar Multidimensional Trajectories. ICDE 2002: 673-684 - [c1]Michail Vlachos, Carlotta Domeniconi, Dimitrios Gunopulos, George Kollios, Nick Koudas:
Non-linear dimensionality reduction techniques for classification and visualization. KDD 2002: 645-651
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
