| 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 | 556* | 2018 |
| 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 | 260 | 2020 |
| 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 | 188 | 2015 |
| 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 | 179* | 2020 |
| 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 | 146 | 2021 |
| 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 | 138* | 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 | 137 | 2020 |
| A detailed introduction to K-nearest neighbor (KNN) algorithm S Thirumuruganathan Retrieved March 20, 2012, 2010 | 127 | 2010 |
| Fair Active Learning H Anahideh, A Asudeh, S Thirumuruganathan arXiv preprint arxiv: 2001.01796, 2020 | 104 | 2020 |
| 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 | 103 | 2018 |
| Data Curation with Deep Learning. S Thirumuruganathan, N Tang, M Ouzzani, AH Doan EDBT, 277-286, 2020 | 99* | 2020 |
| 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 | 83 | 2018 |
| 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 | 82 | 2015 |
| 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 | 80* | 2018 |
| Optimized group formation for solving collaborative tasks H Rahman, SB Roy, S Thirumuruganathan, S Amer-Yahia, G Das The VLDB Journal 28 (1), 1-23, 2019 | 75* | 2019 |
| 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 | 62 | 2017 |
| Malware in the future? Forecasting of analyst detection of cyber events JZ Bakdash, S Hutchinson, EG Zaroukian, LR Marusich, ... Journal of Cybersecurity 4 (1), tyy007, 2018 | 59 | 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 | 59 | 2015 |
| Density based clustering over location based services MF Rahman, W Liu, SB Suhaim, S Thirumuruganathan, N Zhang, G Das 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 461-472, 2017 | 55* | 2017 |
| Uguide: User-guided discovery of fd-detectable errors S Thirumuruganathan, L Berti-Equille, M Ouzzani, JA Quiane-Ruiz, ... Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 51 | 2017 |
Gautam DasDistinguished University Chair Professor, Associate Dean, University of Texas at ArlingtonVerified email at uta.edu
