| Linguistic analysis of differences in portrayal of movie characters A Ramakrishna, VR Martínez, N Malandrakis, K Singla, S Narayanan Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 65 | 2017 |
| On quantifying facial expression-related atypicality of children with autism spectrum disorder T Guha, Z Yang, A Ramakrishna, RB Grossman, D Hedley, S Lee, ... 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 52 | 2015 |
| Acoustic-prosodic correlates of'awkward'prosody in story retellings from adolescents with autism. D Bone, MP Black, A Ramakrishna, RB Grossman, SS Narayanan Interspeech, 1616-1620, 2015 | 43 | 2015 |
| Violence rating prediction from movie scripts VR Martinez, K Somandepalli, K Singla, A Ramakrishna, YT Uhls, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 671-678, 2019 | 40 | 2019 |
| A quantitative analysis of gender differences in movies using psycholinguistic normatives A Ramakrishna, N Malandrakis, E Staruk, S Narayanan Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 31 | 2015 |
| Hierarchical active transfer learning D Kale, M Ghazvininejad, A Ramakrishna, J He, Y Liu Proceedings of the 2015 SIAM International Conference on Data Mining, 514-522, 2015 | 23 | 2015 |
| An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators. A Ramakrishna, R Gupta, RB Grossman, SS Narayanan Interspeech, 1555-1559, 2016 | 14 | 2016 |
| An interactive web based spatio-temporal visualization system A Ramakrishna, YH Chang, R Maheswaran International Symposium on Visual Computing, 673-680, 2013 | 12 | 2013 |
| Computational modeling of conversational humor in psychotherapy A Ramakrishna, T Greer, D Atkins, S Narayanan Interspeech 2018, 2344, 2018 | 11 | 2018 |
| Federated learning with noisy user feedback R Sharma, A Ramakrishna, A MacLaughlin, A Rumshisky, J Majmudar, ... arXiv preprint arXiv:2205.03092, 2022 | 10 | 2022 |
| Elisa system description for lorehlt 2017 L Cheung, T Gowda, U Hermjakob, N Liu, J May, A Mayn, ... Proc. Low Resource Human Lang. Technol, 51-59, 2017 | 9 | 2017 |
| Fedmultimodal: A benchmark for multimodal federated learning T Feng, D Bose, T Zhang, R Hebbar, A Ramakrishna, R Gupta, M Zhang, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 5 | 2023 |
| Spoken language understanding models A Kumar, AK Ramakrishna, S Venkatapathy, R Gupta, S Ananthakrishnan, ... US Patent 11,574,637, 2023 | 5 | 2023 |
| Towards realistic single-task continuous learning research for NER J Payan, Y Merhav, H Xie, S Krishna, A Ramakrishna, M Sridhar, R Gupta arXiv preprint arXiv:2110.14694, 2021 | 5 | 2021 |
| Linguistic analysis of differences in portrayal of movie characters S Narayanan, VM Palacios, A Ramakrishna, K Somandepalli, ... US Patent 10,956,679, 2021 | 5 | 2021 |
| Invite: a testbed of automatically generated invalid questions to evaluate large language models for hallucinations A Ramakrishna, R Gupta, J Lehmann, M Ziyadi The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 4 | 2023 |
| The elisa situation frame extraction for low resource languages pipeline for lorehlt’2016 N Malandrakis, A Ramakrishna, V Martinez, T Sorensen, D Can, ... Machine Translation 32, 127-142, 2018 | 4 | 2018 |
| Joint multi-dimensional model for global and time-series annotations A Ramakrishna, R Gupta, S Narayanan IEEE Transactions on Affective Computing 13 (1), 473-484, 2020 | 3 | 2020 |
| JAB: Joint adversarial prompting and belief augmentation N Mehrabi, P Goyal, A Ramakrishna, J Dhamala, S Ghosh, R Zemel, ... arXiv preprint arXiv:2311.09473, 2023 | 2 | 2023 |
| Improving large-scale conversational assistants using model interpretation based training sample selection S Schroedl, M Kumar, K Hajebi, M Ziyadi, S Venkatapathy, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 2 | 2022 |
Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern CaliforniaDirección de correo verificada de sipi.usc.edu
