Themis Palpanas
Orcid: 0000-0002-8031-0265Affiliations:
- Paris Descartes University, France
- University of California, Riverside, USA (former)
According to our database1,
Themis Palpanas
authored at least 234 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on cs.ucr.edu
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Bibliography
2024
Proc. VLDB Endow., August, 2024
Proc. VLDB Endow., July, 2024
DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search.
Proc. VLDB Endow., May, 2024
GSM: A generalized approach to Supervised Meta-blocking for scalable entity resolution.
Inf. Syst., February, 2024
IEEE Internet Things J., 2024
CoRR, 2024
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting.
CoRR, 2024
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.
CoRR, 2024
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series.
CoRR, 2024
Proceedings of the 32nd Symposium of Advanced Database Systems, 2024
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
A Critical Re-evaluation of Record Linkage Benchmarks for Learning-Based Matching Algorithms.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
ADF \u0026 TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series.
Proc. VLDB Endow., November, 2023
ProS: data series progressive k-NN similarity search and classification with probabilistic quality guarantees.
VLDB J., July, 2023
IEEE Trans. Knowl. Data Eng., June, 2023
Correction to: Unsupervised and scalable subsequence anomaly detection in large data series.
VLDB J., March, 2023
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series.
Proc. VLDB Endow., 2023
Proc. VLDB Endow., 2023
Proc. VLDB Endow., 2023
Proc. ACM Manag. Data, 2023
Graph- and Tree-based Indexes for High-dimensional Vector Similarity Search: Analyses, Comparisons, and Future Directions.
IEEE Data Eng. Bull., 2023
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma.
CoRR, 2023
A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms.
CoRR, 2023
Proceedings of the 42nd International Symposium on Reliable Distributed Systems, 2023
Proceedings of the 31st Symposium of Advanced Database Systems, 2023
Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Images of Hepatocellular Carcinoma.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023
Proceedings of the Database and Expert Systems Applications, 2023
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting.
Proceedings of the 2023 Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous Networks, 2023
2022
Proc. VLDB Endow., 2022
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection.
Proc. VLDB Endow., 2022
SA-Q: Observing, Evaluating, and Enhancing the Quality of the Results of Sentiment Analysis Tools.
Proc. VLDB Endow., 2022
Proc. VLDB Endow., 2022
iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges.
Proc. VLDB Endow., 2022
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022
2021
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01878-7, 2021
VLDB J., 2021
IEEE Trans. Knowl. Data Eng., 2021
New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed.
Proc. VLDB Endow., 2021
Knowl. Inf. Syst., 2021
Inf. Syst., 2021
ACM Comput. Surv., 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
SentiQ: Une approche logique-probabiliste pour améliorer la qualité de l'analyse des sentiments.
Proceedings of the Extraction et Gestion des Connaissances, 2021
Electricity Demand Activation Extraction: From Known to Unknown Signatures, Using Similarity Search.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021
Proceedings of the 24th International Conference on Extending Database Technology, 2021
Proceedings of the 24th International Conference on Extending Database Technology, 2021
Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021
2020
IEEE Trans. Knowl. Data Eng., 2020
Proc. VLDB Endow., 2020
Proc. VLDB Endow., 2020
Frontiers Big Data, 2020
Data Min. Knowl. Discov., 2020
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Scalable Machine Learning on High-Dimensional Vectors: From Data Series to Deep Network Embeddings.
Proceedings of the WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30, 2020
Proceedings of the 2020 International Conference on Management of Data, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Proceedings of the 23rd International Conference on Extending Database Technology, 2020
Proceedings of the 23rd International Conference on Extending Database Technology, 2020
2019
Coconut: sortable summarizations for scalable indexes over static and streaming data series.
VLDB J., 2019
IEEE Trans. Vis. Comput. Graph., 2019
SIGMOD Rec., 2019
Report on the First and Second Interdisciplinary Time Series Analysis Workshop (ITISA).
SIGMOD Rec., 2019
Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search.
Proc. VLDB Endow., 2019
Proceedings of the 16th International Symposium on Spatial and Temporal Databases, 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference, 2019
2018
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01866-4, 2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
The return of JedAI: End-to-End Entity Resolution for Structured and Semi-Structured Data.
Proc. VLDB Endow., 2018
Proc. VLDB Endow., 2018
Proc. VLDB Endow., 2018
The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art.
Proc. VLDB Endow., 2018
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series.
Proceedings of the 2018 International Conference on Management of Data, 2018
Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series.
Proceedings of the 2018 International Conference on Management of Data, 2018
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Proceedings of the 21st International Conference on Extending Database Technology, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Inf. Syst., 2017
Data Min. Knowl. Discov., 2017
Proceedings of the Mobility Analytics for Spatio-Temporal and Social Data, 2017
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017
Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Proceedings of the 13th International Conference on Semantic Systems, 2017
Proceedings of the Semantic Web: ESWC 2017 Satellite Events - ESWC 2017 Satellite Events, Portorož, Slovenia, May 28, 2017
Proceedings of the 20th International Conference on Extending Database Technology, 2017
2016
Where has this tweet come from? Fast and fine-grained geolocalization of non-geotagged tweets.
Soc. Netw. Anal. Min., 2016
Proc. VLDB Endow., 2016
Boosting the Efficiency of Large-Scale Entity Resolution with Enhanced Meta-Blocking.
Big Data Res., 2016
Proceedings of the SOFSEM 2016: Theory and Practice of Computer Science, 2016
Proceedings of the First Workshop on Data Science for Social Good co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Dicovery in Databases, 2016
Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016
Blocking for large-scale Entity Resolution: Challenges, algorithms, and practical examples.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
Proceedings of the 19th International Conference on Extending Database Technology, 2016
Proceedings of the 19th International Conference on Extending Database Technology, 2016
2015
VLDB J., 2015
IEEE Trans. Knowl. Data Eng., 2015
Report on the First International Workshop on Personal Data Analytics in the Internet of Things (PDA@IOT 2014).
SIGMOD Rec., 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Parallel meta-blocking: Realizing scalable entity resolution over large, heterogeneous data.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015
2014
IEEE Trans. Knowl. Data Eng., 2014
Beyond one billion time series: indexing and mining very large time series collections with i SAX2+.
Knowl. Inf. Syst., 2014
Proceedings of the Conference on Scientific and Statistical Database Management, 2014
Proceedings of the International Conference on Management of Data, 2014
Proceedings of the International Conference on Management of Data, 2014
Proceedings of the International Conference on Management of Data, 2014
A Case Study of Active, Continuous and Predictive Social Media Analytics for Smart City.
Proceedings of the Fifth Workshop on Semantics for Smarter Cities a Workshop at the 13th International Semantic Web Conference (ISWC 2014), 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, 2014
2013
A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces.
IEEE Trans. Knowl. Data Eng., 2013
Proc. VLDB Endow., 2013
Revisiting the effect of history on learning performance: the problem of the demanding lord.
Knowl. Inf. Syst., 2013
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013
Proceedings of the Semantic Web - ISWC 2013, 2013
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013
Proceedings of the Semantic Web: ESWC 2013 Satellite Events, 2013
Proceedings of the Center for Advanced Studies on Collaborative Research, 2013
Proceedings of the New Trends in Databases and Information Systems, 2013
Proceedings of the Managing and Mining Sensor Data, 2013
2012
SIGMOD Rec., 2012
Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the 2012 IEEE International Conference on Pervasive Computing and Communications, 2012
SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Proceedings of the Enabling Real-Time Business Intelligence - 6th International Workshop, 2012
2011
IEEE Trans. Knowl. Data Eng., 2011
Proceedings of the International Workshop on Semantic Web Information Management, 2011
Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011
Proceedings of the 2011 Joint International Conference on Digital Libraries, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Similarity matching for uncertain time series: analytical and experimental comparison.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, 2011
2010
Proceedings of the 19th International Conference on World Wide Web, 2010
The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord.
Proceedings of the ICDM 2010, 2010
Proceedings of the ICDM 2010, 2010
Proceedings of the Workshops Proceedings of the 26th International Conference on Data Engineering, 2010
Proceedings of the 26th International Conference on Data Engineering, 2010
2009
Frequent items in streaming data: An experimental evaluation of the state-of-the-art.
Data Knowl. Eng., 2009
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009
Proceedings of the Semantic Web, Fourth Asian Conference, 2009
2008
IEEE Trans. Knowl. Data Eng., 2008
Proceedings of the 5th Workshop on Semantic Web Applications and Perspectives (SWAP2008), 2008
Proceedings of the Scientific and Statistical Database Management, 2008
Proceedings of the International Workshop on Quality in Databases and Management of Uncertain Data, 2008
Enabling Better Decisions through Quality-Aware Reports in Business Intelligence Applications.
Proceedings of the 13th International Conference on Information Quality, 2008
Proceedings of the 1st IRSW2008 International Workshop on Identity and Reference on the Semantic Web, 2008
Proceedings of the 19th International Workshop on Database and Expert Systems Applications (DEXA 2008), 2008
Proceedings of the Database and Expert Systems Applications, 19th International Conference, 2008
2007
IEEE Trans. Knowl. Data Eng., 2007
Online Distribution Estimation for Streaming Data: Framework and Applications.
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007
2006
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006
Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks.
Proceedings of the 27th IEEE Real-Time Systems Symposium (RTSS 2006), 2006
Proceedings of the Tenth IEEE International Enterprise Distributed Object Computing Conference (EDOC 2006), 2006
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006
2005
IEEE Trans. Knowl. Data Eng., 2005
2004
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004
Proceedings of the 20th International Conference on Data Engineering, 2004
2003
Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM 2003), 2003
Proceedings of the 19th International Conference on Data Engineering, 2003
2002
Proceedings of 28th International Conference on Very Large Data Bases, 2002
2001
Proceedings of the 13th International Conference on Scientific and Statistical Database Management, 2001
2000