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Saravanan Thirumuruganathan
Saravanan Thirumuruganathan
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Title
Cited by
Cited by
Year
Distributed Representations of Tuples for Entity Resolution.
M Ebraheem, S Thirumuruganathan, SR Joty, M Ouzzani, N Tang
Proc. VLDB Endow. 11 (2018) 11 (2018), 1454-1467, 2018
367*2018
Task assignment optimization in knowledge-intensive crowdsourcing
SB Roy, I Lykourentzou, S Thirumuruganathan, S Amer-Yahia, G Das
The VLDB Journal 24 (4), 467-491, 2015
1752015
Creating embeddings of heterogeneous relational datasets for data integration tasks
R Cappuzzo, P Papotti, S Thirumuruganathan
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
1512020
A detailed introduction to K-nearest neighbor (KNN) algorithm
S Thirumuruganathan
Retrieved March 20, 2012, 2010
1222010
Deep learning models for selectivity estimation of multi-attribute queries
S Hasan, S Thirumuruganathan, J Augustine, N Koudas, G Das
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
105*2020
Zeroer: Entity resolution using zero labeled examples
R Wu, S Chaba, S Sawlani, X Chu, S Thirumuruganathan
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
822020
Approximate query processing for data exploration using deep generative models
S Thirumuruganathan, S Hasan, N Koudas, G Das
2020 IEEE 36th international conference on data engineering (ICDE), 1309-1320, 2020
76*2020
Data Curation with Deep Learning.
S Thirumuruganathan, N Tang, M Ouzzani, AH Doan
EDBT, 277-286, 2020
75*2020
Task assignment optimization in collaborative crowdsourcing
H Rahman, SB Roy, S Thirumuruganathan, S Amer-Yahia, G Das
2015 IEEE International Conference on Data Mining, 949-954, 2015
712015
RHEEM: enabling cross-platform data processing: may the big data be with you!
D Agrawal, S Chawla, B Contreras-Rojas, A Elmagarmid, Y Idris, ...
Proceedings of the VLDB Endowment 11 (11), 1414-1427, 2018
702018
Optimized group formation for solving collaborative tasks
H Rahman, SB Roy, S Thirumuruganathan, S Amer-Yahia, G Das
The VLDB Journal 28, 1-23, 2019
58*2019
Fair Active Learning
H Anahideh, A Asudeh, S Thirumuruganathan
arXiv preprint arxiv: 2001.01796, 2020
572020
Robust road map inference through network alignment of trajectories
R Stanojevic, S Abbar, S Thirumuruganathan, S Chawla, F Filali, ...
Proceedings of the 2018 SIAM International Conference on Data Mining, 135-143, 2018
56*2018
Worker skill estimation in team-based tasks
H Rahman, S Thirumuruganathan, SB Roy, S Amer-Yahia, G Das
Proceedings of the VLDB Endowment 8 (11), 1142-1153, 2015
532015
A cost-based optimizer for gradient descent optimization
Z Kaoudi, JA Quiané-Ruiz, S Thirumuruganathan, S Chawla, D Agrawal
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
512017
Discovery of genuine functional dependencies from relational data with missing values
L Berti-Équille, H Harmouch, F Naumann, N Novelli, ...
Proceedings of the VLDB Endowment 11 (8), 880-892, 2018
492018
Exploiting group recommendation functions for flexible preferences
SB Roy, S Thirumuruganathan, S Amer-Yahia, G Das, C Yu
2014 IEEE 30th international conference on data engineering, 412-423, 2014
422014
Walk, not wait: Faster sampling over online social networks
A Nazi, Z Zhou, S Thirumuruganathan, N Zhang, G Das
arXiv preprint arXiv:1410.7833, 2014
402014
Crowds, not drones: modeling human factors in interactive crowdsourcing
SB Roy, I Lykourentzou, S Thirumuruganathan, S Amer-Yahia, G Das
DBCrowd 2013-VLDB Workshop on Databases and Crowdsourcing, 39-42, 2013
392013
Deep learning for blocking in entity matching: a design space exploration
S Thirumuruganathan, H Li, N Tang, M Ouzzani, Y Govind, D Paulsen, ...
Proceedings of the VLDB Endowment 14 (11), 2459-2472, 2021
382021
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Articles 1–20