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ORCIDThemis Palpanas
Themistoklis Palpanas
Person information
- affiliation: Paris Descartes University, France
- affiliation (former): University of California, Riverside, USA
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Books and Theses
- 2021
[b3]George Papadakis
, Ekaterini Ioannou, Emanouil Thanos, Themis Palpanas:
The Four Generations of Entity Resolution. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2021, ISBN 978-3-031-00750-7, pp. 1-170- 2018
- [b2]Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Data Exploration Using Example-Based Methods. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00738-5 - 2003
- [b1]Themis Palpanas:
Data reduction in data warehouses. University of Toronto, Canada, 2003
Journal Articles
- 2024
- [j93]Luca Gagliardelli, George Papadakis, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas:
GSM: A generalized approach to Supervised Meta-blocking for scalable entity resolution. Inf. Syst. 120: 102307 (2024) - 2023
- [j92]Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang:
Dumpy: A Compact and Adaptive Index for Large Data Series Collections. Proc. ACM Manag. Data 1(1): 111:1-111:27 (2023) - [j91]Manos Chatzakis, Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, Botao Peng:
Odyssey: A Journey in the Land of Distributed Data Series Similarity Search. Proc. VLDB Endow. 16(5): 1140-1153 (2023) - [j90]Ilias Azizi, Karima Echihabi, Themis Palpanas:
Elpis: Graph-Based Similarity Search for Scalable Data Science. Proc. VLDB Endow. 16(6): 1548-1559 (2023) - [j89]Emmanouil Sylligardos, Paul Boniol, John Paparrizos, Panos E. Trahanias, Themis Palpanas:
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series. Proc. VLDB Endow. 16(11): 3418-3432 (2023) - [j88]Adrien Petralia, Philippe Charpentier, Themis Palpanas:
ADF \u0026 TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series. Proc. VLDB Endow. 17(3): 553-562 (2023) - [j87]Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Efficient Range and kNN Twin Subsequence Search in Time Series. IEEE Trans. Knowl. Data Eng. 35(6): 5794-5807 (2023) - [j86]Qitong Wang, Themis Palpanas:
SEAnet: A Deep Learning Architecture for Data Series Similarity Search. IEEE Trans. Knowl. Data Eng. 35(12): 12972-12986 (2023) - [j85]Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy:
Correction to: Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. 32(2): 469 (2023) - [j84]Karima Echihabi, Theophanis Tsandilas, Anna Gogolou, Anastasia Bezerianos, Themis Palpanas:
ProS: data series progressive k-NN similarity search and classification with probabilistic quality guarantees. VLDB J. 32(4): 763-789 (2023) - 2022
- [j83]John Paparrizos, Yuhao Kang, Paul Boniol, Ruey S. Tsay, Themis Palpanas, Michael J. Franklin:
TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection. Proc. VLDB Endow. 15(8): 1697-1711 (2022) - [j82]Luca Gagliardelli, George Papadakis, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas:
Generalized Supervised Meta-blocking. Proc. VLDB Endow. 15(9): 1902-1910 (2022) - [j81]Karima Echihabi, Panagiota Fatourou, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
Hercules Against Data Series Similarity Search. Proc. VLDB Endow. 15(10): 2005-2018 (2022) - [j80]John Paparrizos, Paul Boniol, Themis Palpanas, Ruey Tsay, Aaron J. Elmore, Michael J. Franklin:
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. Proc. VLDB Endow. 15(11): 2774-2787 (2022) - [j79]Wissam Mammar Kouadri, Salima Benbernou, Mourad Ouziri, Themis Palpanas, Iheb Ben Amor:
SA-Q: Observing, Evaluating, and Enhancing the Quality of the Results of Sentiment Analysis Tools. Proc. VLDB Endow. 15(12): 3658-3661 (2022) - [j78]Paul Boniol, John Paparrizos, Yuhao Kang, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin:
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection. Proc. VLDB Endow. 15(12): 3702-3705 (2022) - [j77]Qitong Wang, Stephen Whitmarsh, Vincent Navarro, Themis Palpanas:
iEDeaL: A Deep Learning Framework for Detecting Highly Imbalanced Interictal Epileptiform Discharges. Proc. VLDB Endow. 16(3): 480-490 (2022) - 2021
- [j76]George Papadakis, Dimitrios Skoutas, Emmanouil Thanos, Themis Palpanas:
Blocking and Filtering Techniques for Entity Resolution: A Survey. ACM Comput. Surv. 53(2): 31:1-31:42 (2021) - [j75]Vassilis Christophides, Vasilis Efthymiou, Themis Palpanas, George Papadakis, Kostas Stefanidis:
An Overview of End-to-End Entity Resolution for Big Data. ACM Comput. Surv. 53(6): 127:1-127:42 (2021) - [j74]Georgios M. Mandilaras, George Papadakis, Luca Gagliardelli, Giovanni Simonini, Emmanouil Thanos, George Giannakopoulos, Sonia Bergamaschi, Themis Palpanas, Manolis Koubarakis, Alicia Lara-Clares, Antonio Fariña:
Reproducible experiments on Three-Dimensional Entity Resolution with JedAI. Inf. Syst. 102: 101830 (2021) - [j73]Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio, Francesco Branda, Themis Palpanas, Muhammad Imran:
Using social media for sub-event detection during disasters. J. Big Data 8(1): 79 (2021) - [j72]Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas, Dennis E. Shasha, Patrick Valduriez:
BestNeighbor: efficient evaluation of kNN queries on large time series databases. Knowl. Inf. Syst. 63(2): 349-378 (2021) - [j71]Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin:
SAND: Streaming Subsequence Anomaly Detection. Proc. VLDB Endow. 14(10): 1717-1729 (2021) - [j70]Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin:
SAND in Action: Subsequence Anomaly Detection for Streams. Proc. VLDB Endow. 14(12): 2867-2870 (2021) - [j69]Karima Echihabi, Themis Palpanas, Kostas Zoumpatianos:
New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed. Proc. VLDB Endow. 14(12): 3198-3201 (2021) - [j68]Botao Peng, Panagiota Fatourou, Themis Palpanas:
ParIS+: Data Series Indexing on Multi-Core Architectures. IEEE Trans. Knowl. Data Eng. 33(5): 2151-2164 (2021) - [j67]Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy:
Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. 30(6): 909-931 (2021) - [j66]Botao Peng, Panagiota Fatourou, Themis Palpanas:
Fast data series indexing for in-memory data. VLDB J. 30(6): 1041-1067 (2021) - 2020
- [j65]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
Matrix profile goes MAD: variable-length motif and discord discovery in data series. Data Min. Knowl. Discov. 34(4): 1022-1071 (2020) - [j64]Remy Kusters, Dusan Misevic, Hugues Berry, Antoine Cully, Yann Le Cunff, Loic Dandoy, Natalia Díaz Rodríguez, Marion Ficher, Jonathan Grizou, Alice Othmani, Themis Palpanas, Matthieu Komorowski, Patrick Loiseau, Clément Moulin-Frier, Santino Nanini, Daniele Quercia, Michèle Sebag, Françoise Fogelman-Soulié, Sofiane Taleb, Liubov Tupikina, Vaibhav Sahu, Jill-Jênn Vie, Fatima Wehbi:
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data 3: 577974 (2020) - [j63]George Papadakis, Georgios M. Mandilaras, Luca Gagliardelli, Giovanni Simonini, Emmanouil Thanos, George Giannakopoulos, Sonia Bergamaschi, Themis Palpanas, Manolis Koubarakis:
Three-dimensional Entity Resolution with JedAI. Inf. Syst. 93: 101565 (2020) - [j62]Paul Boniol, Themis Palpanas:
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series. Proc. VLDB Endow. 13(11): 1821-1834 (2020) - [j61]Paul Boniol, Themis Palpanas, Mohammed Meftah, Emmanuel Remy:
GraphAn: Graph-based Subsequence Anomaly Detection. Proc. VLDB Endow. 13(12): 2941-2944 (2020) - [j60]Wissam Maamar Kouadri, Mourad Ouziri, Salima Benbernou, Karima Echihabi, Themis Palpanas, Iheb Ben Amor:
Quality of Sentiment Analysis Tools: The Reasons of Inconsistency. Proc. VLDB Endow. 14(4): 668-681 (2020) - [j59]Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas:
Massively Distributed Time Series Indexing and Querying. IEEE Trans. Knowl. Data Eng. 32(1): 108-120 (2020) - [j58]Michele Linardi, Themis Palpanas:
Scalable data series subsequence matching with ULISSE. VLDB J. 29(6): 1449-1474 (2020) - 2019
- [j57]Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas:
Improving Classification Quality in Uncertain Graphs. ACM J. Data Inf. Qual. 11(1): 3:1-3:20 (2019) - [j56]Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search. Proc. VLDB Endow. 13(3): 403-420 (2019) - [j55]Themis Palpanas, Volker Beckmann:
Report on the First and Second Interdisciplinary Time Series Analysis Workshop (ITISA). SIGMOD Rec. 48(3): 36-40 (2019) - [j54]George Papadakis, Leonidas Tsekouras, Emmanouil Thanos, George Giannakopoulos, Themis Palpanas, Manolis Koubarakis:
Domain- and Structure-Agnostic End-to-End Entity Resolution with JedAI. SIGMOD Rec. 48(4): 30-36 (2019) - [j53]Giovanni Simonini, George Papadakis, Themis Palpanas, Sonia Bergamaschi:
Schema-Agnostic Progressive Entity Resolution. IEEE Trans. Knowl. Data Eng. 31(6): 1208-1221 (2019) - [j52]Anna Gogolou, Theophanis Tsandilas, Themis Palpanas, Anastasia Bezerianos:
Comparing Similarity Perception in Time Series Visualizations. IEEE Trans. Vis. Comput. Graph. 25(1): 523-533 (2019) - [j51]Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut: sortable summarizations for scalable indexes over static and streaming data series. VLDB J. 28(6): 847-869 (2019) - 2018
- [j50]Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut: A Scalable Bottom-Up Approach for Building Data Series Indexes. Proc. VLDB Endow. 11(6): 677-690 (2018) - [j49]George Papadakis, Leonidas Tsekouras, Emmanouil Thanos, George Giannakopoulos, Themis Palpanas, Manolis Koubarakis:
The return of JedAI: End-to-End Entity Resolution for Structured and Semi-Structured Data. Proc. VLDB Endow. 11(12): 1950-1953 (2018) - [j48]Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
X2Q: Your Personal Example-based Graph Explorer. Proc. VLDB Endow. 11(12): 2026-2029 (2018) - [j47]Michele Linardi, Themis Palpanas:
Scalable, Variable-Length Similarity Search in Data Series: The ULISSE Approach. Proc. VLDB Endow. 11(13): 2236-2248 (2018) - [j46]Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art. Proc. VLDB Endow. 12(2): 112-127 (2018) - [j45]Kostas Zoumpatianos, Yin Lou, Ioana Ileana, Themis Palpanas, Johannes Gehrke:
Generating data series query workloads. VLDB J. 27(6): 823-846 (2018) - 2017
- [j44]Katsiaryna Mirylenka, George Giannakopoulos, Le Minh Do, Themis Palpanas:
On classifier behavior in the presence of mislabeling noise. Data Min. Knowl. Discov. 31(3): 661-701 (2017) - [j43]Vasilis Efthymiou, George Papadakis, George Papastefanatos, Kostas Stefanidis, Themis Palpanas:
Parallel meta-blocking for scaling entity resolution over big heterogeneous data. Inf. Syst. 65: 137-157 (2017) - [j42]Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas:
New Trends on Exploratory Methods for Data Analytics. Proc. VLDB Endow. 10(12): 1977-1980 (2017) - 2016
- [j41]George Papadakis, George Papastefanatos, Themis Palpanas, Manolis Koubarakis:
Boosting the Efficiency of Large-Scale Entity Resolution with Enhanced Meta-Blocking. Big Data Res. 6: 43-63 (2016) - [j40]Manish Agarwal, Themis Palpanas:
Linguistic rough sets. Int. J. Mach. Learn. Cybern. 7(6): 953-966 (2016) - [j39]George Papadakis, Jonathan Svirsky, Avigdor Gal, Themis Palpanas:
Comparative Analysis of Approximate Blocking Techniques for Entity Resolution. Proc. VLDB Endow. 9(9): 684-695 (2016) - [j38]Pavlos Paraskevopoulos, Themis Palpanas:
Where has this tweet come from? Fast and fine-grained geolocalization of non-geotagged tweets. Soc. Netw. Anal. Min. 6(1): 89:1-89:16 (2016) - [j37]Mikalai Tsytsarau, Themis Palpanas:
Managing Diverse Sentiments at Large Scale. IEEE Trans. Knowl. Data Eng. 28(11): 3028-3040 (2016) - [j36]Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis:
A holistic and principled approach for the empty-answer problem. VLDB J. 25(4): 597-622 (2016) - [j35]Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas:
Exemplar queries: a new way of searching. VLDB J. 25(6): 741-765 (2016) - [j34]Kostas Zoumpatianos, Stratos Idreos, Themis Palpanas:
ADS: the adaptive data series index. VLDB J. 25(6): 843-866 (2016) - 2015
- [j33]Michele Dallachiesa, Gabriela Jacques-Silva, Bugra Gedik, Kun-Lung Wu, Themis Palpanas:
Sliding windows over uncertain data streams. Knowl. Inf. Syst. 45(1): 159-190 (2015) - [j32]Kostas Zoumpatianos, Stratos Idreos, Themis Palpanas:
RINSE: Interactive Data Series Exploration with ADS+. Proc. VLDB Endow. 8(12): 1912-1915 (2015) - [j31]Vassilis Christophides, Themis Palpanas:
Report on the First International Workshop on Personal Data Analytics in the Internet of Things (PDA@IOT 2014). SIGMOD Rec. 44(1): 52-55 (2015) - [j30]Themis Palpanas:
Data Series Management: The Road to Big Sequence Analytics. SIGMOD Rec. 44(2): 47-52 (2015) - [j29]Usman Raza, Alessandro Camerra, Amy L. Murphy, Themis Palpanas, Gian Pietro Picco:
Practical Data Prediction for Real-World Wireless Sensor Networks. IEEE Trans. Knowl. Data Eng. 27(8): 2231-2244 (2015) - [j28]Katsiaryna Mirylenka, Graham Cormode, Themis Palpanas, Divesh Srivastava:
Conditional heavy hitters: detecting interesting correlations in data streams. VLDB J. 24(3): 395-414 (2015) - 2014
- [j27]Alessandro Camerra, Jin Shieh, Themis Palpanas, Thanawin Rakthanmanon, Eamonn J. Keogh:
Beyond one billion time series: indexing and mining very large time series collections with i SAX2+. Knowl. Inf. Syst. 39(1): 123-151 (2014) - [j26]Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas:
Exemplar Queries: Give me an Example of What You Need. Proc. VLDB Endow. 7(5): 365-376 (2014) - [j25]Michele Dallachiesa, Themis Palpanas, Ihab F. Ilyas:
Top-k Nearest Neighbor Search In Uncertain Data Series. Proc. VLDB Endow. 8(1): 13-24 (2014) - [j24]Matteo Lissandrini, Davide Mottin, Themis Palpanas, Dimitra Papadimitriou, Yannis Velegrakis:
Unleashing the Power of Information Graphs. SIGMOD Rec. 43(4): 21-26 (2014) - [j23]George Papadakis, Georgia Koutrika, Themis Palpanas, Wolfgang Nejdl:
Meta-Blocking: Taking Entity Resolutionto the Next Level. IEEE Trans. Knowl. Data Eng. 26(8): 1946-1960 (2014) - 2013
- [j22]Michele Dallachiesa, Themis Palpanas:
Identifying streaming frequent items in ad hoc time windows. Data Knowl. Eng. 87: 66-90 (2013) - [j21]Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Entity ranking using click-log information. Intell. Data Anal. 17(5): 837-856 (2013) - [j20]George Giannakopoulos, Themis Palpanas:
Revisiting the effect of history on learning performance: the problem of the demanding lord. Knowl. Inf. Syst. 36(3): 653-691 (2013) - [j19]Themis Palpanas, Yannis Velegrakis:
Front Matter. Proc. VLDB Endow. 6(10): i-x (2013) - [j18]Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis:
A Probabilistic Optimization Framework for the Empty-Answer Problem. Proc. VLDB Endow. 6(14): 1762-1773 (2013) - [j17]Stefano Ceri, Themis Palpanas, Emanuele Della Valle, Dino Pedreschi, Johann-Christoph Freytag, Roberto Trasarti:
Towards mega-modeling: a walk through data analysis experiences. SIGMOD Rec. 42(3): 19-27 (2013) - [j16]George Papadakis, Ekaterini Ioannou, Themis Palpanas, Claudia Niederée, Wolfgang Nejdl:
A Blocking Framework for Entity Resolution in Highly Heterogeneous Information Spaces. IEEE Trans. Knowl. Data Eng. 25(12): 2665-2682 (2013) - 2012
- [j15]Mikalai Tsytsarau, Themis Palpanas:
Survey on mining subjective data on the web. Data Min. Knowl. Discov. 24(3): 478-514 (2012) - [j14]Themis Palpanas:
A knowledge mining framework for business analysts. Data Base 43(1): 46-60 (2012) - [j13]Mikalai Tsytsarau, Francesco Bonchi, Aristides Gionis, Themis Palpanas:
Diverse dimension decomposition for itemset spaces. Knowl. Inf. Syst. 33(2): 447-473 (2012) - [j12]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas:
Uncertain Time-Series Similarity: Return to the Basics. Proc. VLDB Endow. 5(11): 1662-1673 (2012) - [j11]Themis Palpanas, Yannis Velegrakis:
dbTrento: the data and information management group at the University of Trento. SIGMOD Rec. 41(3): 28-33 (2012) - 2011
- [j10]Stefano Bortoli, Themis Palpanas, Paolo Bouquet:
Decentralised social network management. Int. J. Web Based Communities 7(3): 276-297 (2011) - [j9]Nikolaus Augsten, Denilson Barbosa, Michael H. Böhlen, Themis Palpanas:
Efficient Top-k Approximate Subtree Matching in Small Memory. IEEE Trans. Knowl. Data Eng. 23(8): 1123-1137 (2011) - 2009
- [j8]Nishad Manerikar, Themis Palpanas:
Frequent items in streaming data: An experimental evaluation of the state-of-the-art. Data Knowl. Eng. 68(4): 415-430 (2009) - 2008
- [j7]Themis Palpanas, Nick Koudas, Alberto O. Mendelzon:
On space constrained set selection problems. Data Knowl. Eng. 67(1): 200-218 (2008) - [j6]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) - 2007
- [j5]Themis Palpanas, Pawan Chowdhary, George A. Mihaila, Florian Pinel:
Integrated model-driven dashboard development. Inf. Syst. Frontiers 9(2-3): 195-208 (2007) - [j4]Ioana Stanoi, George A. Mihaila, Themis Palpanas, Christian A. Lang:
WhiteWater: Distributed Processing of Fast Streams. IEEE Trans. Knowl. Data Eng. 19(9): 1214-1226 (2007) - 2005
- [j3]Themis Palpanas, Nick Koudas, Alberto O. Mendelzon:
Using Datacube Aggregates for Approximate Querying and Deviation Detection. IEEE Trans. Knowl. Data Eng. 17(11): 1465-1477 (2005) - 2003
- [j2]Themistoklis Palpanas, Dimitris Papadopoulos, Vana Kalogeraki, Dimitrios Gunopulos:
Distributed deviation detection in sensor networks. SIGMOD Rec. 32(4): 77-82 (2003) - 2000
- [j1]Themistoklis Palpanas:
Knowledge Discovery in Data Warehouses. SIGMOD Rec. 29(3): 88-100 (2000)
Conference and Workshop Papers
- 2023
- [c109]Romain Ilbert, Thai V. Hoang, Zonghua Zhang, Themis Palpanas:
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting. ARTMAN@CCS 2023: 17-28 - [c108]Ying Li, Xiaodong Lee, Botao Peng, Themis Palpanas, Jing'an Xue:
PrivSketch: A Private Sketch-Based Frequency Estimation Protocol for Data Streams. DEXA (1) 2023: 147-163 - [c107]Paul Boniol, John Paparrizos, Themis Palpanas:
New Trends in Time Series Anomaly Detection. EDBT 2023: 847-850 - [c106]Adrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas:
Appliance Detection Using Very Low-Frequency Smart Meter Time Series. e-Energy 2023: 214-225 - [c105]Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie, Camille Kurtz:
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Images of Hepatocellular Carcinoma. ISBI 2023: 1-5 - [c104]Hanbo Zhang, Jiangxin Li, Shen Liang, Peng Wang, Themis Palpanas, Chen Wang, Wei Wang, Haoxuan Zhou, Jianwei Song, Wen Lu:
Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications. KDD 2023: 5532-5543 - [c103]Luca Gagliardelli, George Papadakis, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas:
A general approach to Supervised Meta-Blocking. SEBD 2023: 141-150 - [c102]Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, George Paterakis:
FreSh: A Lock-Free Data Series Index. SRDS 2023: 209-220 - 2022
- [c101]Karima Echihabi, Themis Palpanas:
Scalable Analytics on Large Sequence Collections. MDM 2022: 5-8 - [c100]Paul Boniol, Mohammed Meftah, Emmanuel Remy, Themis Palpanas:
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification. SIGMOD Conference 2022: 1175-1189 - 2021
- [c99]Luka Jakovljevic, Dimitre Kostadinov, Armen Aghasaryan, Themis Palpanas:
Towards Building a Digital Twin of Complex System Using Causal Modelling. COMPLEX NETWORKS 2021: 475-486 - [c98]Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Twin Subsequence Search in Time Series. EDBT 2021: 475-480 - [c97]Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas:
Big Sequence Management: Scaling up and Out. EDBT 2021: 714-717 - [c96]Pauline Laviron, Xueqi Dai, Bérénice Huquet, Themis Palpanas:
Electricity Demand Activation Extraction: From Known to Unknown Signatures, Using Similarity Search. e-Energy 2021: 148-159 - [c95]Wissam Maamar Kouadri, Salima Benbernou, Mourad Ouziri, Themis Palpanas, Iheb Ben Amor:
SentiQ: Une approche logique-probabiliste pour améliorer la qualité de l'analyse des sentiments. EGC 2021: 513-514 - [c94]Botao Peng, Panagiota Fatourou, Themis Palpanas:
SING: Sequence Indexing Using GPUs. ICDE 2021: 1883-1888 - [c93]Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas:
High-Dimensional Similarity Search for Scalable Data Science. ICDE 2021: 2369-2372 - [c92]Qitong Wang, Themis Palpanas:
Deep Learning Embeddings for Data Series Similarity Search. KDD 2021: 1708-1716 - 2020
- [c91]George Papadakis, Leonidas Tsekouras, Emmanouil Thanos, Nikiforos Pittaras, Giovanni Simonini, Dimitrios Skoutas, Paul Isaris, George Giannakopoulos, Themis Palpanas, Manolis Koubarakis:
JedAI3 : beyond batch, blocking-based Entity Resolution. EDBT 2020: 603-606 - [c90]George Papadakis, Ekaterini Ioannou, Themis Palpanas:
Entity Resolution: Past, Present and Yet-to-Come. EDBT 2020: 647-650 - [c89]Botao Peng, Panagiota Fatourou, Themis Palpanas:
MESSI: In-Memory Data Series Indexing. ICDE 2020: 337-348 - [c88]Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas:
SAD: An Unsupervised System for Subsequence Anomaly Detection. ICDE 2020: 1778-1781 - [c87]Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas:
Automated Anomaly Detection in Large Sequences. ICDE 2020: 1834-1837 - [c86]Anna Gogolou, Theophanis Tsandilas, Karima Echihabi, Anastasia Bezerianos, Themis Palpanas:
Data Series Progressive Similarity Search with Probabilistic Quality Guarantees. SIGMOD Conference 2020: 1857-1873 - [c85]Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas:
Scalable Machine Learning on High-Dimensional Vectors: From Data Series to Deep Network Embeddings. WIMS 2020: 1-6 - [c84]Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Graph-Query Suggestions for Knowledge Graph Exploration. WWW 2020: 2549-2555 - 2019
- [c83]Anna Gogolou, Theophanis Tsandilas, Themis Palpanas, Anastasia Bezerianos:
Progressive Similarity Search on Time Series Data. EDBT/ICDT Workshops 2019 - [c82]Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Local Similarity Search on Geolocated Time Series Using Hybrid Indexing. SIGSPATIAL/GIS 2019: 179-188 - [c81]Oleksandra Levchenko, Boyan Kolev, Djamel Edine Yagoubi, Dennis E. Shasha, Themis Palpanas, Patrick Valduriez, Reza Akbarinia, Florent Masseglia:
Distributed Algorithms to Find Similar Time Series. ECML/PKDD (3) 2019: 781-785 - [c80]Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Example-based Search: a New Frontier for Exploratory Search. SIGIR 2019: 1411-1412 - [c79]Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm. SIGMOD Conference 2019: 1941-1944 - [c78]Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas:
Exploring the Data Wilderness through Examples. SIGMOD Conference 2019: 2031-2035 - [c77]Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Local Pair and Bundle Discovery over Co-Evolving Time Series. SSTD 2019: 160-169 - 2018
- [c76]Botao Peng, Panagiota Fatourou, Themis Palpanas:
ParIS: The Next Destination for Fast Data Series Indexing and Query Answering. IEEE BigData 2018: 791-800 - [c75]Alberto Cordioli, Themis Palpanas:
An Automated System for Internet Pharmacy Verification. EDBT 2018: 588-599 - [c74]Giovanni Simonini, George Papadakis, Themis Palpanas, Sonia Bergamaschi:
Schema-Agnostic Progressive Entity Resolution. ICDE 2018: 53-64 - [c73]Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis:
Multi-Example Search in Rich Information Graphs. ICDE 2018: 809-820 - [c72]Michele Linardi, Themis Palpanas:
ULISSE: ULtra Compact Index for Variable-Length Similarity Search in Data Series. ICDE 2018: 1356-1359 - [c71]Kostas Zoumpatianos, Themis Palpanas:
Data Series Management: Fulfilling the Need for Big Sequence Analytics. ICDE 2018: 1677-1678 - [c70]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series. SIGMOD Conference 2018: 1053-1066 - [c69]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. SIGMOD Conference 2018: 1757-1760 - 2017
- [c68]Katsiaryna Mirylenka, Michele Dallachiesa, Themis Palpanas:
Correlation-Aware Distance Measures for Data Series. EDBT 2017: 502-505 - [c67]George Papadakis, Leonidas Tsekouras, Emmanouil Thanos, George Giannakopoulos, Themis Palpanas, Manolis Koubarakis:
JedAI: The Force Behind Entity Resolution. ESWC (Satellite Events) 2017: 161-166 - [c66]George Papadakis, Konstantina Bereta, Themis Palpanas, Manolis Koubarakis:
Multi-core Meta-blocking for Big Linked Data. SEMANTiCS 2017: 33-40 - [c65]Djamel Edine Yagoubi, Reza Akbarinia, Florent Masseglia, Themis Palpanas:
DPiSAX: Massively Distributed Partitioned iSAX. ICDM 2017: 1135-1140 - [c64]Pavlos Paraskevopoulos, Giovanni Pellegrini, Themis Palpanas:
TweeLoc: A System for Geolocalizing Tweets at Fine-Grain. ICDM Workshops 2017: 1178-1183 - [c63]Themis Palpanas:
The Parallel and Distributed Future of Data Series Mining. HPCS 2017: 916-920 - [c62]Katsiaryna Mirylenka, Michele Dallachiesa, Themis Palpanas:
Data Series Similarity Using Correlation-Aware Measures. SSDBM 2017: 11:1-11:12 - [c61]Pavlos Paraskevopoulos, Themis Palpanas:
What do Geotagged Tweets Reveal About Mobility Behavior? MATES@VLDB 2017: 36-53 - 2016
- [c60]George Papadakis, George Papastefanatos, Themis Palpanas, Manolis Koubarakis:
Scaling Entity Resolution to Large, Heterogeneous Data with Enhanced Meta-blocking. EDBT 2016: 221-232 - [c59]Katsiaryna Mirylenka, Vassilis Christophides, Themis Palpanas, Ioannis Pefkianakis, Martin May:
Characterizing Home Device Usage From Wireless Traffic Time Series. EDBT 2016: 539-550 - [c58]Themis Palpanas:
Data series management: The next challenge. ICDE Workshops 2016: 196-199 - [c57]George Papadakis, Themis Palpanas:
Blocking for large-scale Entity Resolution: Challenges, algorithms, and practical examples. ICDE 2016: 1436-1439 - [c56]Pavlos Paraskevopoulos, Giovanni Pellegrini, Themis Palpanas:
When a Tweet Finds its Place: Fine-Grained Tweet Geolocalisation. SoGood@ECML-PKDD 2016 - [c55]Themis Palpanas:
Big Sequence Management: A glimpse of the Past, the Present, and the Future. SOFSEM 2016: 63-80 - 2015
- [c54]Pavlos Paraskevopoulos, Themis Palpanas:
Fine-Grained Geolocalisation of Non-Geotagged Tweets. ASONAM 2015: 105-112 - [c53]Vasilis Efthymiou, George Papadakis, George Papastefanatos, Kostas Stefanidis, Themis Palpanas:
Parallel meta-blocking: Realizing scalable entity resolution over large, heterogeneous data. IEEE BigData 2015: 411-420 - [c52]Kostas Zoumpatianos, Yin Lou, Themis Palpanas, Johannes Gehrke:
Query Workloads for Data Series Indexes. KDD 2015: 1603-1612 - 2014
- [c51]Alejandro Maté, Kostas Zoumpatianos, Themis Palpanas, Juan Trujillo, John Mylopoulos, Elvis Koci:
A systematic approach for dynamic targeted monitoring of KPIs. CASCON 2014: 192-206 - [c50]Mikalai Tsytsarau, Themis Palpanas, Malú Castellanos:
Dynamics of news events and social media reaction. KDD 2014: 901-910 - [c49]Marco Balduini, Stefano Bocconi, Alessandro Bozzon, Emanuele Della Valle, Yi Huang, Jasper Oosterman, Themis Palpanas, Mikalai Tsytsarau:
A Case Study of Active, Continuous and Predictive Social Media Analytics for Smart City. S4SC@ISWC 2014: 31-46 - [c48]Davide Mottin, Matteo Lissandrini, Yannis Velegrakis, Themis Palpanas:
Searching with XQ: the exemplar query search engine. SIGMOD Conference 2014: 901-904 - [c47]Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis:
IQR: an interactive query relaxation system for the empty-answer problem. SIGMOD Conference 2014: 1095-1098 - [c46]Kostas Zoumpatianos, Stratos Idreos, Themis Palpanas:
Indexing for interactive exploration of big data series. SIGMOD Conference 2014: 1555-1566 - [c45]Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas:
Node classification in uncertain graphs. SSDBM 2014: 32:1-32:4 - 2013
- [c44]Yamine Aït Ameur, Witold Andrzejewski, Ladjel Bellatreche, Barbara Catania, Tania Cerquitelli, Silvia Chiusano, Matteo Golfarelli, Giovanna Guerrini, Krzysztof Kaczmarski, Mirko Kämpf, Alfons Kemper, Tobias Lauer, Boris Novikov, Themis Palpanas, Jaroslav Pokorný, Stefano Rizzi, Athena Vakali:
New Trends in Databases and Information Systems: Contributions from ADBIS 2013. ADBIS (2) 2013: 1-13 - [c43]Konstantinos Zoumpatianos, Themis Palpanas, John Mylopoulos, Alejandro Maté, Juan Trujillo:
Monitoring and diagnosing indicators for business analytics. CASCON 2013: 177-191 - [c42]Marco Balduini, Emanuele Della Valle, Daniele Dell'Aglio, Mikalai Tsytsarau, Themis Palpanas, Cristian Confalonieri:
Twindex Fuorisalone: Social Listening of Milano during Fuorisalone 2013. ESWC (Satellite Events) 2013: 327-336 - [c41]Katsiaryna Mirylenka, Themis Palpanas, Graham Cormode, Divesh Srivastava:
Finding interesting correlations with conditional heavy hitters. ICDE 2013: 1069-1080 - [c40]Marco Balduini, Emanuele Della Valle, Daniele Dell'Aglio, Mikalai Tsytsarau, Themis Palpanas, Cristian Confalonieri:
Social Listening of City Scale Events Using the Streaming Linked Data Framework. ISWC (2) 2013: 1-16 - [c39]Mikalai Tsytsarau, Sihem Amer-Yahia, Themis Palpanas:
Efficient sentiment correlation for large-scale demographics. SIGMOD Conference 2013: 253-264 - 2012
- [c38]Konstantinos Zoumpatianos, Themis Palpanas, John Mylopoulos:
Strategic Management for Real-Time Business Intelligence. BIRTE 2012: 118-128 - [c37]Katsiaryna Mirylenka, George Giannakopoulos, Themis Palpanas:
SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise. PAKDD (1) 2012: 109-121 - [c36]Alice Marascu, Suleiman A. Khan, Themis Palpanas:
Scalable Similarity Matching in Streaming Time Series. PAKDD (2) 2012: 218-230 - [c35]Usman Raza, Alessandro Camerra, Amy L. Murphy, Themis Palpanas, Gian Pietro Picco:
What does model-driven data acquisition really achieve in wireless sensor networks? PerCom 2012: 85-94 - [c34]Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer Kröger, Hans-Peter Kriegel:
Density-based Projected Clustering over High Dimensional Data Streams. SDM 2012: 987-998 - [c33]Enrico Iori, Alkis Simitsis, Themis Palpanas, Kevin Wilkinson, Stavros Harizopoulos:
CloudAlloc: a monitoring and reservation system for compute clusters. SIGMOD Conference 2012: 721-724 - [c32]George Papadakis, Ekaterini Ioannou, Claudia Niederée, Themis Palpanas, Wolfgang Nejdl:
Beyond 100 million entities: large-scale blocking-based resolution for heterogeneous data. WSDM 2012: 53-62 - 2011
- [c31]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas:
Similarity matching for uncertain time series: analytical and experimental comparison. QUeST@GIS 2011: 8-15 - [c30]Mikalai Tsytsarau, Francesco Bonchi, Aristides Gionis, Themis Palpanas:
Diverse Dimension Decomposition of an Itemset Space. ICDM 2011: 725-734 - [c29]Mikalai Tsytsarau, Themis Palpanas:
Towards a Framework for Detecting and Managing Opinion Contradictions. ICDM Workshops 2011: 1219-1222 - [c28]George Papadakis, Ekaterini Ioannou, Claudia Niederée, Themis Palpanas, Wolfgang Nejdl:
Eliminating the redundancy in blocking-based entity resolution methods. JCDL 2011: 85-94 - [c27]George Papadakis, George Giannakopoulos, Claudia Niederée, Themis Palpanas, Wolfgang Nejdl:
Detecting and exploiting stability in evolving heterogeneous information spaces. JCDL 2011: 95-104 - [c26]George Papadakis, Ekaterini Ioannou, Claudia Niederée, Themis Palpanas, Wolfgang Nejdl:
To compare or not to compare: making entity resolution more efficient. SWIM 2011: 3 - 2010
- [c25]Heiko Stoermer, Themis Palpanas, George Giannakopoulos:
The Entity Name System: Enabling the web of entities. ICDE Workshops 2010: 227-232 - [c24]Nikolaus Augsten, Denilson Barbosa, Michael H. Böhlen, Themis Palpanas:
TASM: Top-k Approximate Subtree Matching. ICDE 2010: 353-364 - [c23]Alessandro Camerra, Themis Palpanas, Jin Shieh, Eamonn J. Keogh:
iSAX 2.0: Indexing and Mining One Billion Time Series. ICDM 2010: 58-67 - [c22]George Giannakopoulos, Themis Palpanas:
The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord. ICDM 2010: 809-814 - [c21]Mikalai Tsytsarau, Themis Palpanas, Kerstin Denecke:
Scalable discovery of contradictions on the web. WWW 2010: 1195-1196 - 2009
- [c20]Paolo Bouquet, Themis Palpanas, Heiko Stoermer, Massimiliano Vignolo:
A Conceptual Model for a Web-Scale Entity Name System. ASWC 2009: 46-60 - [c19]Barbara Bazzanella, Themis Palpanas, Heiko Stoermer:
Towards a General Entity Representation Model. IRI 2009: 431-432 - 2008
- [c18]Themis Palpanas, Jakka Sairamesh:
Knowledge Mining for the Business Analyst. DEXA 2008: 770-778 - [c17]Themis Palpanas, Junaid Ahsenali Chaudhry, Periklis Andritsos, Yannis Velegrakis:
Entity Data Management in OKKAM. DEXA Workshops 2008: 729-733 - [c16]Junaid Ahsenali Chaudhry, Themis Palpanas, Periklis Andritsos, Antonio Maña:
Entity Lifecycle Management for OKKAM. IRSW 2008 - [c15]Florian Daniel, Fabio Casati, Themis Palpanas, Oleksiy Chayka, Cinzia Cappiello:
Enabling Better Decisions through Quality-Aware Reports in Business Intelligence Applications. ICIQ 2008: 310-324 - [c14]Florian Daniel, Fabio Casati, Themis Palpanas, Oleksiy Chayka:
Managing Data Quality in Business Intelligence Applications. QDB/MUD 2008: 133-143 - [c13]Ferry Irawan Tantono, Nishad Manerikar, Themis Palpanas:
Efficiently Discovering Recent Frequent Items in Data Streams. SSDBM 2008: 222-239 - [c12]Barbara Bazzanella, Junaid Ahsenali Chaudhry, Themis Palpanas, Heiko Stoermer:
Towards a General Entity Representation Model. SWAP 2008 - 2007
- [c11]Themis Palpanas, Vana Kalogeraki, Dimitrios Gunopulos:
Online Distribution Estimation for Streaming Data: Framework and Applications. SEBD 2007: 430-438 - 2006
- [c10]Ioana Stanoi, George A. Mihaila, Themis Palpanas, Christian A. Lang:
Maximizing the sustained throughput of distributed continuous queries. CIKM 2006: 834-835 - [c9]Pawan Chowdhary, Themis Palpanas, Florian Pinel, Shyh-Kwei Chen, Frederick Y. Wu:
Model-Driven Dashboards for Business Performance Reporting. EDOC 2006: 374-386 - [c8]Sharmila Subramaniam, Vana Kalogeraki, Themis Palpanas:
Distributed Real-Time Detection and Tracking of Homogeneous Regions in Sensor Networks. RTSS 2006: 401-411 - [c7]Sharmila Subramaniam, Themis Palpanas, Dimitris Papadopoulos, Vana Kalogeraki, Dimitrios Gunopulos:
Online Outlier Detection in Sensor Data Using Non-Parametric Models. VLDB 2006: 187-198 - 2004
- [c6]Themistoklis Palpanas, Michail Vlachos, Eamonn J. Keogh, Dimitrios Gunopulos, Wagner Truppel:
Online Amnesic Approximation of Streaming Time Series. ICDE 2004: 339-349 - [c5]Eamonn J. Keogh, Themis Palpanas, Victor B. Zordan, Dimitrios Gunopulos, Marc Cardle:
Indexing Large Human-Motion Databases. VLDB 2004: 780-791 - 2003
- [c4]Panayiotis Tsaparas, Themistoklis Palpanas, Yannis Kotidis, Nick Koudas, Divesh Srivastava:
Ranked Join Indices. ICDE 2003: 277-288 - [c3]Themistoklis Palpanas, Nick Koudas, Alberto O. Mendelzon:
Space Constrained Selection Problems for Data Warehouses and Pervasive Computing. SSDBM 2003: 55-64 - 2002
- [c2]Themistoklis Palpanas, Richard Sidle, Roberta Cochrane, Hamid Pirahesh:
Incremental Maintenance for Non-Distributive Aggregate Functions. VLDB 2002: 802-813 - 2001
- [c1]Themistoklis Palpanas, Nick Koudas:
Entropy Based Approximate Querying and Exploration of Datacubes. SSDBM 2001: 81-90
Parts in Books or Collections
- 2013
- [p1]Themis Palpanas:
Real-Time Data Analytics in Sensor Networks. Managing and Mining Sensor Data 2013: 173-210
Editorship
- 2024
- [e7]Themis Palpanas, H. V. Jagadish:
Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, Paestum, Italy, March 25, 2024. CEUR Workshop Proceedings 3651, CEUR-WS.org 2024 [contents] - 2023
- [e6]Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal:
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023. IEEE 2023, ISBN 979-8-3503-2445-7 [contents] - 2022
- [e5]Maya Ramanath, Themis Palpanas:
Proceedings of the Workshops of the EDBT/ICDT 2022 Joint Conference, Edinburgh, UK, March 29, 2022. CEUR Workshop Proceedings 3135, CEUR-WS.org 2022 [contents] - 2016
- [e4]Themis Palpanas, Kostas Stefanidis:
Proceedings of the Workshops of the EDBT/ICDT 2016 Joint Conference, EDBT/ICDT Workshops 2016, Bordeaux, France, March 15, 2016. CEUR Workshop Proceedings 1558, CEUR-WS.org 2016 [contents] - 2015
- [e3]Nick Bassiliades, Mirjana Ivanovic, Margita Kon-Popovska, Yannis Manolopoulos, Themis Palpanas, Goce Trajcevski, Athena Vakali:
New Trends in Database and Information Systems II - Selected papers of the 18th East European Conference on Advances in Databases and Information Systems and Associated Satellite Events, ADBIS 2014 Ohrid, Macedonia, September 7-10, 2014 Proceedings II. Advances in Intelligent Systems and Computing 312, Springer 2015, ISBN 978-3-319-10517-8 [contents] - 2014
- [e2]Barbara Catania, Tania Cerquitelli, Silvia Chiusano, Giovanna Guerrini, Mirko Kämpf, Alfons Kemper, Boris Novikov, Themis Palpanas, Jaroslav Pokorný, Athena Vakali:
New Trends in Databases and Information Systems, 17th East European Conference on Advances in Databases and Information Systems, ADBIS 2013, Genoa, Italy, September 1-4, 2013. Proceedings II. Advances in Intelligent Systems and Computing 241, Springer 2014, ISBN 978-3-319-01862-1 [contents] - [e1]Abdelkader Hameurlain, Josef Küng, Roland R. Wagner, Barbara Catania, Giovanna Guerrini, Themis Palpanas, Jaroslav Pokorný, Athena Vakali:
Transactions on Large-Scale Data- and Knowledge-Centered Systems XV - Selected Papers from ADBIS 2013 Satellite Events. Lecture Notes in Computer Science 8920, Springer 2014, ISBN 978-3-662-45760-3 [contents]
Reference Works
- 2018
- [r2]Sihem Amer-Yahia, Themis Palpanas, Mikalai Tsytsarau, Sofia Kleisarchaki, Ahlame Douzal, Vassilis Christophides:
Temporal Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) 2018 - [r1]Themis Palpanas, Panayiotis Tsaparas:
Rank-Join Indices. Encyclopedia of Database Systems (2nd ed.) 2018
Informal and Other Publications
- 2024
- [i38]Adrien Petralia, Philippe Charpentier, Themis Palpanas:
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series. CoRR abs/2401.05381 (2024) - [i37]Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov, Aladin Virmaux, Giuseppe Paolo, Themis Palpanas, Ievgen Redko:
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention. CoRR abs/2402.10198 (2024) - 2023
- [i36]Manos Chatzakis, Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, Botao Peng:
Odyssey: A Journey in the Land of Distributed Data Series Similarity Search. CoRR abs/2301.11049 (2023) - [i35]Zeyu Wang, Qitong Wang, Peng Wang, Themis Palpanas, Wei Wang:
Dumpy: A Compact and Adaptive Index for Large Data Series Collections. CoRR abs/2304.08264 (2023) - [i34]Adrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas:
Appliance Detection Using Very Low-Frequency Smart Meter Time Series. CoRR abs/2305.10352 (2023) - [i33]Ying Li, Xiaodong Lee, Botao Peng, Themis Palpanas, Jing'an Xue:
PrivSketch: A Private Sketch-based Frequency Estimation Protocol for Data Streams. CoRR abs/2306.12144 (2023) - [i32]George Papadakis, Nishadi Kirielle, Peter Christen, Themis Palpanas:
A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms. CoRR abs/2307.01231 (2023) - [i31]Zhuxian Guo, Qitong Wang, Henning Müller, Themis Palpanas, Nicolas Loménie, Camille Kurtz:
A Hierarchical Transformer Encoder to Improve Entire Neoplasm Segmentation on Whole Slide Image of Hepatocellular Carcinoma. CoRR abs/2307.05800 (2023) - [i30]Panagiota Fatourou, Eleftherios Kosmas, Themis Palpanas, George Paterakis:
FreSh: A Lock-Free Data Series Index. CoRR abs/2310.11602 (2023) - [i29]Romain Ilbert, Thai V. Hoang, Zonghua Zhang, Themis Palpanas:
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting. CoRR abs/2311.09790 (2023) - 2022
- [i28]Luca Gagliardelli, George Papadakis, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas:
Generalized Supervised Meta-blocking (technical report). CoRR abs/2204.08801 (2022) - [i27]Paul Boniol, Mohammed Meftah, Emmanuel Remy, Themis Palpanas:
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification. CoRR abs/2207.12165 (2022) - [i26]Paul Boniol, Themis Palpanas:
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series. CoRR abs/2207.12208 (2022) - [i25]Karima Echihabi, Panagiota Fatourou, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
Hercules Against Data Series Similarity Search. CoRR abs/2212.13297 (2022) - [i24]Karima Echihabi, Theophanis Tsandilas, Anna Gogolou, Anastasia Bezerianos, Themis Palpanas:
ProS: Data Series Progressive k-NN Similarity Search and Classification with Probabilistic Quality Guarantees. CoRR abs/2212.13310 (2022) - 2021
- [i23]Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Twin Subsequence Search in Time Series. CoRR abs/2104.06874 (2021) - [i22]Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Local Pair and Bundle Discovery over Co-Evolving Time Series. CoRR abs/2104.09417 (2021) - [i21]Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Local Similarity Search on Geolocated Time Series Using Hybrid Indexing. CoRR abs/2104.09509 (2021) - [i20]Botao Peng, Panagiota Fatourou, Themis Palpanas:
Fast Data Series Indexing for In-Memory Data. CoRR abs/2110.07519 (2021) - 2020
- [i19]Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
The Lernaean Hydra of Data Series Similarity Search: An Experimental Evaluation of the State of the Art. CoRR abs/2006.11454 (2020) - [i18]Karima Echihabi, Kostas Zoumpatianos, Themis Palpanas, Houda Benbrahim:
Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search. CoRR abs/2006.11459 (2020) - [i17]Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut: sortable summarizations for scalable indexes over static and streaming data series. CoRR abs/2006.11474 (2020) - [i16]Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm. CoRR abs/2006.13079 (2020) - [i15]Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos, Themis Palpanas:
Coconut: a scalable bottom-up approach for building data series indexes. CoRR abs/2006.13713 (2020) - [i14]Wissam Maamar Kouadri, Salima Benbernou, Mourad Ouziri, Themis Palpanas, Iheb Ben Amor:
SentiQ: A Probabilistic Logic Approach to Enhance Sentiment Analysis Tool Quality. CoRR abs/2008.08919 (2020) - [i13]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. CoRR abs/2008.13432 (2020) - [i12]Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh:
Matrix Profile Goes MAD: Variable-Length Motif And Discord Discovery in Data Series. CoRR abs/2008.13447 (2020) - [i11]Botao Peng, Panagiota Fatourou, Themis Palpanas:
ParIS+: Data Series Indexing on Multi-Core Architectures. CoRR abs/2009.00166 (2020) - [i10]Botao Peng, Panagiota Fatourou, Themis Palpanas:
MESSI: In-Memory Data Series Indexing. CoRR abs/2009.00786 (2020) - [i9]Michele Linardi, Themis Palpanas:
Scalable Data Series Subsequence Matching with ULISSE. CoRR abs/2009.10373 (2020) - 2019
- [i8]George Papadakis, Dimitrios Skoutas, Emmanouil Thanos, Themis Palpanas:
A Survey of Blocking and Filtering Techniques for Entity Resolution. CoRR abs/1905.06167 (2019) - [i7]Giovanni Simonini, George Papadakis, Themis Palpanas, Sonia Bergamaschi:
Schema-agnostic Progressive Entity Resolution (extended version). CoRR abs/1905.06385 (2019) - [i6]Vassilis Christophides, Vasilis Efthymiou, Themis Palpanas, George Papadakis, Kostas Stefanidis:
End-to-End Entity Resolution for Big Data: A Survey. CoRR abs/1905.06397 (2019) - [i5]Anthony J. Bagnall, Richard L. Cole, Themis Palpanas, Konstantinos Zoumpatianos:
Data Series Management (Dagstuhl Seminar 19282). Dagstuhl Reports 9(7): 24-39 (2019) - 2018
- [i4]Cagatay Turkay, Nicola Pezzotti, Carsten Binnig, Hendrik Strobelt, Barbara Hammer, Daniel A. Keim, Jean-Daniel Fekete, Themis Palpanas, Yunhai Wang, Florin Rusu:
Progressive Data Science: Potential and Challenges. CoRR abs/1812.08032 (2018) - 2016
- [i3]Zhaoyang Shao, Davood Rafiei, Themis Palpanas:
Error-tolerant Exemplar Queries on RDF Graphs. CoRR abs/1609.03095 (2016) - 2014
- [i2]Michele Dallachiesa, Charu C. Aggarwal, Themis Palpanas:
Node Classification in Uncertain Graphs. CoRR abs/1405.5829 (2014) - 2012
- [i1]Michele Dallachiesa, Besmira Nushi, Katsiaryna Mirylenka, Themis Palpanas:
Uncertain Time-Series Similarity: Return to the Basics. CoRR abs/1208.1931 (2012)
Coauthor Index
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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 2024-04-21 16:54 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
