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Harika Abburi
Harika Abburi
Research Scholar, IIIT Hyderabad
Verified email at research.iiit.ac.in
Title
Cited by
Cited by
Year
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
772019
Multimodal Sentiment Analysis of Telugu Songs.
H Abburi, ESA Akkireddy, S Gangashetti, R Mamidi
SAAIP@ IJCAI, 48-52, 2016
592016
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
402021
Generative ai text classification using ensemble llm approaches
H Abburi, M Suesserman, N Pudota, B Veeramani, E Bowen, ...
arXiv preprint arXiv:2309.07755, 2023
332023
Multimodal sentiment analysis using deep neural networks
H Abburi, R Prasath, M Shrivastava, SV Gangashetty
Mining Intelligence and Knowledge Exploration: 4th International Conference …, 2017
232017
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
192021
Knowledge-based Neural Framework for Sexism Detection and Classification.
H Abburi, S Sehgal, H Maheshwari, V Varma
IberLEF@ SEPLN, 402-414, 2021
122021
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
102020
Improved multimodal sentiment detection using stressed regions of audio
H Abburi, M Shrivastava, SV Gangashetty
2016 IEEE Region 10 Conference (TENCON), 2834-2837, 2016
102016
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
72017
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
62023
‘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
42022
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
42020
Multi-task learning neural framework for categorizing sexism
H Abburi, P Parikh, N Chhaya, V Varma
Computer Speech & Language 83, 101535, 2024
32024
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
32022
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
22023
Sentiment Analysis using Relative Prosody Features
H Abburi, KR Alluri, AK Vuppala, M Shrivastava, SV Gangashetty
IC3, 2017
22017
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
12023
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
12017
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
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