| Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? SR Oota, J Arora, V Agarwal, M Marreddy, M Gupta, BR Surampudi https://aclanthology.org/2022.naacl-main.235/, 3220–3237, 2022 | 32 | 2022 |
| Clickbait detection in telugu: Overcoming nlp challenges in resource-poor languages using benchmarked techniques M Marreddy, SR Oota, LS Vakada, VC Chinni, R Mamidi 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 23 | 2021 |
| Fermi at semeval-2017 task 7: Detection and interpretation of homographic puns in english language V Indurthi, SR Oota Proceedings of the 11th international workshop on semantic evaluation …, 2017 | 21 | 2017 |
| Am I a resource-poor language? Data sets, embeddings, models and analysis for four different NLP tasks in telugu language M Marreddy, SR Oota, LS Vakada, VC Chinni, R Mamidi ACM Transactions on Asian and Low-Resource Language Information Processing …, 2022 | 17 | 2022 |
| Clickbait detection using word embeddings V Indurthi, SR Oota arXiv preprint arXiv:1710.02861, 2017 | 17 | 2017 |
| Tag me a label with multi-arm: Active learning for telugu sentiment analysis SS Mukku, SR Oota, R Mamidi Big Data Analytics and Knowledge Discovery: 19th International Conference …, 2017 | 16* | 2017 |
| fMRI semantic category decoding using linguistic encoding of word embeddings SR Oota, N Manwani, RS Bapi International Conference on Neural Information Processing, 3-15, 2018 | 15* | 2018 |
| Joint processing of linguistic properties in brains and language models S OOTA, M Gupta, M Toneva Advances in Neural Information Processing Systems 36, 2024 | 14 | 2024 |
| StepEncog: A convolutional LSTM autoencoder for near-perfect fMRI encoding SR Oota, V Rowtula, M Gupta, RS Bapi 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 13 | 2019 |
| Multi-task text classification using graph convolutional networks for large-scale low resource language M Marreddy, SR Oota, LS Vakada, VC Chinni, R Mamidi 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 12 | 2022 |
| Visio-Linguistic Brain Encoding SR Oota, J Arora, V Rowtula, M Gupta, RS Bapi COLING 2022 https://aclanthology.org/2022.coling-1.11.pdf, 116-133, 2022 | 12 | 2022 |
| Long-term plausibility of language models and neural dynamics during narrative listening SR Oota, F Alexandre, X Hinaut Proceedings of the annual meeting of the cognitive science society 44 (44), 2022 | 12 | 2022 |
| Towards automated evaluation of handwritten assessments V Rowtula, SR Oota, CV Jawahar 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 11 | 2019 |
| Metastability of cortical BOLD signals in maturation and senescence S Naik, O Subbareddy, A Banerjee, D Roy, RS Bapi 2017 International Joint Conference on Neural Networks (IJCNN), 4564-4570, 2017 | 9 | 2017 |
| Multi-view and cross-view brain decoding SR Oota, J Arora, M Gupta, RS Bapi Proceedings of the 29th international conference on computational …, 2022 | 8* | 2022 |
| Healtech-a system for predicting patient hospitalization risk and wound progression in old patients SR Oota, V Rowtula, S Mohammed, J Galitz, M Liu, M Gupta Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 8 | 2021 |
| Neural architecture of speech SR Oota, K Pahwa, M Marreddy, M Gupta, BS Raju ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
| How does the brain process syntactic structure while listening? SR Oota, M Marreddy, M Gupta, R Bapi Findings of the Association for Computational Linguistics: ACL 2023, 6624-6647, 2023 | 5* | 2023 |
| WSNet: towards an effective method for wound image segmentation SR Oota, V Rowtula, S Mohammed, M Liu, M Gupta Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 5 | 2023 |
| Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey) SR Oota, M Gupta, RS Bapi, G Jobard, F Alexandre, X Hinaut arXiv preprint arXiv:2307.10246, 2023 | 4 | 2023 |
Manish GuptaBing, Microsoft在 microsoft.com 的电子邮件经过验证
