| SATenstein: Automatically building local search SAT solvers from components AR KhudaBukhsh, L Xu, HH Hoos, K Leyton-Brown Artificial Intelligence 232, 20-42, 2016 | 234 | 2016 |
| Hope speech detection: A computational analysis of the voice of peace S Palakodety, AR KhudaBukhsh, JG Carbonell ECAI 2020, 1881-1889, 2020 | 64* | 2020 |
| 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 | 42 | 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 | 38 | 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 A KhudaBukhsh, J Carbonell, P Jansen Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 …, 2014 | 28 | 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* | |
| Gender bias, social bias, and representation: 70 years of BHollywood K Khadilkar, AR KhudaBukhsh, TM Mitchell Patterns 3 (2), 2022 | 23* | 2022 |
| 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 | 21 | 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 | 14 | 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 IJCAI, 5059-5065, 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 |
| 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 | 10 | 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 |
| US news and social media framing around vaping K Chen, M Babaeianjelodar, Y Shi, R Aanegola, LY Cheung, PI Nakov, ... International Conference on Computational Data and Social Networks, 188-199, 2022 | 8 | 2022 |
| 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 | 8* | 2021 |
| Proactive skill posting in referral networks AR KhudaBukhsh, JG Carbonell, PJ Jansen AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint …, 2016 | 8 | 2016 |
Shriphani PalakodetyOnaiVerified email at onai.com
