| ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions RH Mogavi, C Deng, JJ Kim, P Zhou, YD Kwon, AHS Metwally, A Tlili, ... Computers in Human Behavior: Artificial Humans 2 (1), 100027, 2024 | 197* | 2024 |
| Fnnc: Achieving fairness through neural networks P Manisha, S Gujar arXiv preprint arXiv:1811.00247, 2018 | 101* | 2018 |
| Privacy preserving and cost optimal mobile crowdsensing using smart contracts on blockchain D Chatzopoulos, S Gujar, B Faltings, P Hui 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems …, 2018 | 95 | 2018 |
| Foundations of mechanism design: A tutorial part 1-key concepts and classical results D Garg, Y Narahari, S Gujar Sadhana 33, 83-130, 2008 | 80 | 2008 |
| A quality assuring, cost optimal multi-armed bandit mechanism for expertsourcing S Jain, S Gujar, S Bhat, O Zoeter, Y Narahari Artificial Intelligence 254, 44-63, 2018 | 47* | 2018 |
| Foundations of mechanism design: A tutorial Part 2-Advanced concepts and results D Garg, Y Narahari, S Gujar Sadhana 33, 131-174, 2008 | 41 | 2008 |
| Learning optimal redistribution mechanisms through neural networks P Manisha, CV Jawahar, S Gujar arXiv preprint arXiv:1801.08808, 2018 | 31 | 2018 |
| Redistribution mechanisms for assignment of heterogeneous objects SP Gujar, Y Narahari Journal of Artificial Intelligence Research 41, 131-154, 2011 | 29 | 2011 |
| Localcoin: An ad-hoc payment scheme for areas with high connectivity: Poster D Chatzopoulos, S Gujar, B Faltings, P Hui Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc …, 2016 | 27 | 2016 |
| F3: fair and federated face attribute classification with heterogeneous data S Kanaparthy, M Padala, S Damle, RK Sarvadevabhatla, S Gujar Pacific-Asia Conference on Knowledge Discovery and Data Mining, 483-494, 2023 | 25* | 2023 |
| Federated learning meets fairness and differential privacy M Padala, S Damle, S Gujar Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 25 | 2021 |
| Effect of input noise dimension in GANs M Padala, D Das, S Gujar Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 25* | 2021 |
| Generative Adversarial Networks (GANs): What it can generate and What it cannot? P Manisha, S Gujar arXiv preprint arXiv:1804.00140, 2018 | 24 | 2018 |
| Feedback based technique towards total completion of task in crowdsourcing S Roy, S Gujar US Patent 9,727,881, 2017 | 22 | 2017 |
| Truthful multi-armed bandit mechanisms for multi-slot sponsored search auctions AD Sharma, S Gujar, Y Narahari Current Science, 1064-1077, 2012 | 22* | 2012 |
| Tolerable manipulability in dynamic assignment without money J Zou, S Gujar, D Parkes Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 947-952, 2010 | 21 | 2010 |
| A multiarmed bandit based incentive mechanism for a subset selection of customers for demand response in smart grids J Shweta, G Sujit Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 2046-2053, 2020 | 20 | 2020 |
| VidyutVanika: A reinforcement learning based broker agent for a power trading competition S Ghosh, E Subramanian, SP Bhat, S Gujar, P Paruchuri Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 914-921, 2019 | 20 | 2019 |
| Optimal multi-unit combinatorial auctions S Gujar, Y Narahari Operational Research 13, 27-46, 2013 | 20* | 2013 |
| Bitcoinf: Achieving fairness for bitcoin in transaction-fee-only model S Siddiqui, G Vanahalli, S Gujar arXiv preprint arXiv:2003.00801, 2020 | 19 | 2020 |
y. narahariProfessor of Computer Science, Indian Institute of Science, Bangalore在 iisc.ac.in 的電子郵件地址已通過驗證