| 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 | 309* | 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 | 167 | 2015 |
| 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 | 117 | 2020 |
| A detailed introduction to K-nearest neighbor (KNN) algorithm S Thirumuruganathan Retrieved March 20, 2012, 2010 | 115 | 2010 |
| 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 | 82* | 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 | 67 | 2015 |
| Data Curation with Deep Learning. S Thirumuruganathan, N Tang, M Ouzzani, AH Doan EDBT, 277-286, 2020 | 65* | 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 | 64 | 2020 |
| 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 | 62* | 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 | 58 | 2018 |
| 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 | 53* | 2019 |
| 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 | 48 | 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 | 47* | 2018 |
| 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 | 45 | 2017 |
| 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 | 42 | 2018 |
| 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 | 40 | 2014 |
| 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 | 38 | 2014 |
| 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 | 36 | 2013 |
| Fair Active Learning H Anahideh, A Asudeh, S Thirumuruganathan arXiv preprint arxiv: 2001.01796, 2020 | 35 | 2020 |
| 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 | 35 | 2017 |
Gautam DasDistinguished University Chair Professor, CSE Dept, University of Texas at Arlingtonuta.edu의 이메일 확인됨
