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 | 77 | 2019 |
Multimodal Sentiment Analysis of Telugu Songs. H Abburi, ESA Akkireddy, S Gangashetti, R Mamidi SAAIP@ IJCAI, 48-52, 2016 | 59 | 2016 |
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 | 40 | 2021 |
Generative ai text classification using ensemble llm approaches H Abburi, M Suesserman, N Pudota, B Veeramani, E Bowen, ... arXiv preprint arXiv:2309.07755, 2023 | 33 | 2023 |
Multimodal sentiment analysis using deep neural networks H Abburi, R Prasath, M Shrivastava, SV Gangashetty Mining Intelligence and Knowledge Exploration: 4th International Conference …, 2017 | 23 | 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 | 19 | 2021 |
Knowledge-based Neural Framework for Sexism Detection and Classification. H Abburi, S Sehgal, H Maheshwari, V Varma IberLEF@ SEPLN, 402-414, 2021 | 12 | 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 | 10 | 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 |
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 |
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 | 6 | 2023 |
‘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 |
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 |
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 | 3 | 2022 |
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 |
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 | 1 | 2023 |
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 at# SMM4H 2024: Can GPT-4 Detect COVID-19 Tweets Annotated by Itself? H Abburi, N Pudota, B Veeramani, E Bowen, S Bhattacharya Proceedings of The 9th Social Media Mining for Health Research and …, 2024 | | 2024 |