| SATenstein: Automatically building local search SAT solvers from components AR KhudaBukhsh, L Xu, HH Hoos, K Leyton-Brown Artificial Intelligence 232, 20-42, 2016 | 230 | 2016 |
| Hope speech detection: A computational analysis of the voice of peace S Palakodety, AR KhudaBukhsh, JG Carbonell arXiv preprint arXiv:1909.12940, 2019 | 62* | 2019 |
| We Don't Speak the Same Language: Interpreting Polarization through Machine Translation AR KhudaBukhsh, R Sarkar, MS Kamlet, T Mitchell Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14893 …, 2021 | 41 | 2021 |
| Voice for the voiceless: Active sampling to detect comments supporting the rohingyas S Palakodety, AR KhudaBukhsh, JG Carbonell Proceedings of the AAAI conference on artificial intelligence 34 (01), 454-462, 2020 | 37 | 2020 |
| Mining insights from large-scale corpora using fine-tuned language models S Palakodety, AR KhudaBukhsh, JG Carbonell ECAI 2020, 1890-1897, 2020 | 28 | 2020 |
| Detecting non-adversarial collusion in crowdsourcing AR KhudaBukhsh, JG Carbonell, PJ Jansen Second AAAI Conference on Human Computation and Crowdsourcing, 2014 | 26 | 2014 |
| Harnessing Code Switching to Transcend the Linguistic Barrier A KhudaBukhsh, S Palakodety, J Carbonell Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 0 | 25* | |
| Fringe news networks: Dynamics of us news viewership following the 2020 presidential election AR KhudaBukhsh, R Sarkar, MS Kamlet, TM Mitchell Proceedings of the 14th ACM Web Science Conference 2022, 269-278, 2022 | 20 | 2022 |
| Gender bias, social bias, and representation in Bollywood and Hollywood K Khadilkar, AR KhudaBukhsh, TM Mitchell Patterns 3 (4), 2022 | 20* | 2022 |
| Building effective query classifiers: a case study in self-harm intent detection AR KhudaBukhsh, PN Bennett, RW White Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 16 | 2015 |
| Partisan us news media representations of syrian refugees K Chen, M Babaeianjelodar, Y Shi, K Janmohamed, R Sarkar, I Weber, ... Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023 | 13 | 2023 |
| A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance S Dutta, B Li, DS Nagin, AR KhudaBukhsh Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 12 | 2022 |
| Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract) R Sarkar, AR KhudaBukhsh Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15881 …, 2021 | 11* | 2021 |
| The non-native speaker aspect: Indian English in social media R Sarkar, S Mahinder, A KhudaBukhsh Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020 …, 2020 | 11 | 2020 |
| Robust Learning in Expert Networks: A Comparative Analysis A KhudaBukhsh, J Carbonell, P Jansen Foundations of Intelligent Systems. Lecture Notes in Computer Science. 10352 …, 2017 | 10 | 2017 |
| Exploring Polarization of Users Behavior on Twitter During the 2019 South American Protests R Villa-Cox, AR KhudaBukhsh, KM Carley arXiv preprint arXiv:2104.05611, 2021 | 9 | 2021 |
| Social Media Attributions in the Context of Water Crisis R Sarkar, S Mahinder, H Sarkar, A KhudaBukhsh Empirical Methods in Natural Language Processing (EMNLP), 1402–1412, 2020 | 9 | 2020 |
| Proactive skill posting in referral networks AR KhudaBukhsh, JG Carbonell, PJ Jansen Australasian joint conference on artificial intelligence, 585-596, 2016 | 8 | 2016 |
| An unfair affinity toward fairness: characterizing 70 years of social biases in BHollywood (student abstract) K Khadilkar, AR KhudaBukhsh Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15813 …, 2021 | 7* | 2021 |
| Distributed learning in expert referral networks AR KhudaBukhsh, PJ Jansen, JG Carbonell Proceedings of the Twenty-second European Conference on Artificial …, 2016 | 7 | 2016 |
Shriphani PalakodetyOnaiVerified email at onai.com
