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ORCIDThemis Palpanas
Themistoklis Palpanas
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- affiliation: Paris Descartes University, France
- affiliation (former): University of California, Riverside, USA
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2020 – today
- 2023
[j91]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)- [j90]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) - [j89]Ilias Azizi, Karima Echihabi, Themis Palpanas:
Elpis: Graph-Based Similarity Search for Scalable Data Science. Proc. VLDB Endow. 16(6): 1548-1559 (2023) - [j88]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) - [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) - [c108]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 - [c107]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 - [c106]Paul Boniol, John Paparrizos, Themis Palpanas:
New Trends in Time Series Anomaly Detection. EDBT 2023: 847-850 - [c105]Adrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas:
Appliance Detection Using Very Low-Frequency Smart Meter Time Series. e-Energy 2023: 214-225 - [c104]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 - [c103]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 - [c102]Luca Gagliardelli, George Papadakis, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas:
A general approach to Supervised Meta-Blocking. SEBD 2023: 141-150 - [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
- [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) - [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 - [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] - [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
- [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 - [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) - [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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) - [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 - [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
- [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 - [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]