Theodoros Rekatsinas
Theodoros Rekatsinas
Assistant Professor, University of Wisconsin-Madison
Verified email at cs.wisc.edu - Homepage
TitleCited byYear
Holoclean: Holistic data repairs with probabilistic inference
T Rekatsinas, X Chu, IF Ilyas, C Ré
Proceedings of the VLDB Endowment 10 (11), 1190-1201, 2017
1092017
Deep learning for entity matching: A design space exploration
S Mudgal, H Li, T Rekatsinas, AH Doan, Y Park, G Krishnan, R Deep, ...
Proceedings of the 2018 International Conference on Management of Data, 19-34, 2018
742018
Characterizing and selecting fresh data sources
T Rekatsinas, XL Dong, D Srivastava
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
682014
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
X He, T Rekatsinas, J Foulds, L Getoor, Y Liu
612015
Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration.
T Rekatsinas, XL Dong, L Getoor, D Srivastava
CIDR, 2015
462015
Fonduer: Knowledge base construction from richly formatted data
S Wu, L Hsiao, X Cheng, B Hancock, T Rekatsinas, P Levis, C Ré
Proceedings of the 2018 International Conference on Management of Data, 1301 …, 2018
252018
Slimfast: Guaranteed results for data fusion and source reliability
T Rekatsinas, M Joglekar, H Garcia-Molina, A Parameswaran, C Ré
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
242017
Multi-relational learning using weighted tensor decomposition with modular loss
B London, T Rekatsinas, B Huang, L Getoor
arXiv preprint arXiv:1303.1733, 2013
242013
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources
T Rekatsinas, S Ghosh, SR Mekaru, EO Nsoesie, JS Brownstein, L Getoor, ...
Timeline 7, 8, 2015
232015
Data integration and machine learning: A natural synergy
XL Dong, T Rekatsinas
Proceedings of the 2018 International Conference on Management of Data, 1645 …, 2018
182018
SPARSI: partitioning sensitive data amongst multiple adversaries
T Rekatsinas, A Deshpande, A Machanavajjhala
Proceedings of the VLDB Endowment 6 (13), 1594-1605, 2013
172013
A Formal Framework for Probabilistic Unclean Databases
C De Sa, IF Ilyas, B Kimelfeld, C Ré, T Rekatsinas
arXiv preprint arXiv:1801.06750, 2018
122018
Sourcesight: Enabling effective source selection
T Rekatsinas, A Deshpande, XL Dong, L Getoor, D Srivastava
Proceedings of the 2016 International Conference on Management of Data, 2157 …, 2016
122016
Crowdgather: Entity extraction over structured domains
T Rekatsinas, A Deshpande, A Parameswaran
arXiv preprint arXiv:1502.06823, 2015
72015
Local structure and determinism in probabilistic databases
T Rekatsinas, A Deshpande, L Getoor
Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012
72012
Fuzzy rule based neuro-dynamic programming for mobile robot skill acquisition on the basis of a nested multi-agent architecture
JN Karigiannis, TI Rekatsinas, CS Tzafestas
2010 IEEE International Conference on Robotics and Biomimetics, 312-319, 2010
72010
StoryPivot: comparing and contrasting story evolution
A Gruenheid, D Kossmann, T Rekatsinas, D Srivastava
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
52015
HoloDetect: Few-Shot Learning for Error Detection
A Heidari, J McGrath, IF Ilyas, T Rekatsinas
arXiv preprint arXiv:1904.02285, 2019
42019
SysML: The New Frontier of Machine Learning Systems
A Ratner, D Alistarh, G Alonso, P Bailis, S Bird, N Carlini, B Catanzaro, ...
arXiv preprint arXiv:1904.03257, 2019
42019
Developmental learning of cooperative robot skills: A hierarchical multi-agent architecture
JN Karigiannis, T Rekatsinas, CS Tzafestas
Perception-Action Cycle, 497-538, 2011
42011
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Articles 1–20