| Multi-label categorization of accounts of sexism using a neural framework P Parikh, H Abburi, P Badjatiya, R Krishnan, N Chhaya, M Gupta, ... arXiv preprint arXiv:1910.04602, 2019 | 80 | 2019 |
| Multimodal Sentiment Analysis of Telugu Songs. H Abburi, ESA Akkireddy, S Gangashetti, R Mamidi SAAIP@ IJCAI, 48-52, 2016 | 59 | 2016 |
| Generative ai text classification using ensemble llm approaches H Abburi, M Suesserman, N Pudota, B Veeramani, E Bowen, ... arXiv preprint arXiv:2309.07755, 2023 | 48 | 2023 |
| Categorizing sexism and misogyny through neural approaches P Parikh, H Abburi, N Chhaya, M Gupta, V Varma ACM Transactions on the Web (TWEB) 15 (4), 1-31, 2021 | 42 | 2021 |
| Multimodal sentiment analysis using deep neural networks H Abburi, R Prasath, M Shrivastava, SV Gangashetty Mining Intelligence and Knowledge Exploration: 4th International Conference …, 2017 | 24 | 2017 |
| Fine-grained multi-label sexism classification using a semi-supervised multi-level neural approach H Abburi, P Parikh, N Chhaya, V Varma Data Science and Engineering 6 (4), 359-379, 2021 | 22 | 2021 |
| Knowledge-based Neural Framework for Sexism Detection and Classification. H Abburi, S Sehgal, H Maheshwari, V Varma IberLEF@ SEPLN, 402-414, 2021 | 13 | 2021 |
| Semi-supervised multi-task learning for multi-label fine-grained sexism classification H Abburi, P Parikh, N Chhaya, V Varma Proceedings of the 28th international conference on computational …, 2020 | 11 | 2020 |
| Improved multimodal sentiment detection using stressed regions of audio H Abburi, M Shrivastava, SV Gangashetty 2016 IEEE Region 10 Conference (TENCON), 2834-2837, 2016 | 10 | 2016 |
| A simple yet efficient ensemble approach for ai-generated text detection H Abburi, K Roy, M Suesserman, N Pudota, B Veeramani, E Bowen, ... In Proceedings of the Third Workshop on Natural Language Generation …, 2023 | 7 | 2023 |
| Audio and Text based Multimodal Sentiment Analysis using Features Extracted from Selective Regions and Deep Neural Networks H Abburi, SV Gangashetty, M Shrivastava PhD thesis, International Institute of Information Technology Hyderabad, 2017 | 7 | 2017 |
| ‘You Are Big, S/he Is Small’Detecting Body Shaming in Online User Content V Reddy, H Abburi, N Chhaya, T Mitrovska, V Varma International Conference on Social Informatics, 389-397, 2022 | 4 | 2022 |
| Leveraging mental health forums for user-level depression detection on social media S Boinepelli, T Raha, H Abburi, P Parikh, N Chhaya, V Varma Proceedings of the thirteenth language resources and evaluation conference …, 2022 | 4 | 2022 |
| Fine-grained multi-label sexism classification using semi-supervised learning H Abburi, P Parikh, N Chhaya, V Varma Web Information Systems Engineering–WISE 2020: 21st International Conference …, 2020 | 4 | 2020 |
| Multi-task learning neural framework for categorizing sexism H Abburi, P Parikh, N Chhaya, V Varma Computer Speech & Language 83, 101535, 2024 | 3 | 2024 |
| An ensemble-based approach for generative language model attribution H Abburi, M Suesserman, N Pudota, B Veeramani, E Bowen, ... International Conference on Web Information Systems Engineering, 699-709, 2023 | 2 | 2023 |
| A closer look at bearing fault classification approaches H Abburi, T Chaudhary, H Ilyas, L Manne, D Mittal, D Williams, D Snaidauf, ... arXiv preprint arXiv:2309.17001, 2023 | 2 | 2023 |
| Sentiment Analysis using Relative Prosody Features H Abburi, KR Alluri, AK Vuppala, M Shrivastava, SV Gangashetty IC3, 2017 | 2 | 2017 |
| Significance of DNN-AM for multimodal sentiment analysis H Abburi, R Prasath, M Shrivastava, SV Gangashetty Mining Intelligence and Knowledge Exploration: 5th International Conference …, 2017 | 1 | 2017 |
| Deloitte (Drocks) at the Financial Misinformation Detection Challenge Task: Enhancing Misinformation Detection through Instruction-Tuned Models H Abburi, A Chandler, E Bowen, S Bhattacharya, N Pudota Proceedings of the Joint Workshop of the 9th Financial Technology and …, 2025 | | 2025 |
Vasudeva VarmaProfessor, IIIT Hyderabad, IndiaΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα iiit.ac.in
