Subba Reddy Oota

Orcid: 0000-0002-5975-622X

According to our database1, Subba Reddy Oota authored at least 41 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages?
CoRR, 2024

USDC: A Dataset of User Stance and Dogmatism in Long Conversations.
CoRR, 2024

Speech language models lack important brain-relevant semantics.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP Tasks in Telugu Language.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023

Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey).
CoRR, 2023

Syntactic Structure Processing in the Brain while Listening.
CoRR, 2023

WSNet: Towards An Effective Method for Wound Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Joint processing of linguistic properties in brains and language models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MEG Encoding using Word Context Semantics in Listening Stories.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity?
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

GAE-ISUMM: Unsupervised Graph-based Summarization for Indian Languages.
Proceedings of the International Joint Conference on Neural Networks, 2023

Neural Architecture of Speech.
Proceedings of the IEEE International Conference on Acoustics, 2023

On Robustness of Finetuned Transformer-based NLP Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

How does the brain process syntactic structure while listening?
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Cross-view Brain Decoding.
CoRR, 2022

Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Multiple GraphHeat Networks for Structural to Functional Brain Mapping.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language.
Proceedings of the International Joint Conference on Neural Networks, 2022

Visio-Linguistic Brain Encoding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Multi-view and Cross-view Brain Decoding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Long-Term Plausibility of Language Models and Neural Dynamics during Narrative Listening.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Deep Learning for Brain Encoding and Decoding.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

2021
HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques.
Proceedings of the International Joint Conference on Neural Networks, 2021

Wound and Episode Level Readmission Risk or Weeks to Readmit: Why do patients get readmitted? How long does it take for a patient to get readmitted?
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

2020
Wound and episode level readmission risk or weeks to readmit: Why do patients get readmitted? How long does it take for a patient to get readmitted?
CoRR, 2020

2019
ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts.
CoRR, 2019

StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding.
Proceedings of the International Joint Conference on Neural Networks, 2019

Towards Automated Evaluation of Handwritten Assessments.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

2018
Mixture of Regression Experts in fMRI Encoding.
CoRR, 2018

Affect in Tweets using Experts Model.
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, 2018

fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Evaluating Quality of Word Embeddings with Sentiment Polarity Identification Task.
Proceedings of the Semantic Web Challenges, 2018

Believe it or not!: identifying bizarre news in online news media.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2017
Clickbait detection using word embeddings.
CoRR, 2017

Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Multi-Arm Active Transfer Learning for Telugu Sentiment Analysis.
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

Metastability of cortical BOLD signals in maturation and senescence.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Tag Me a Label with Multi-arm: Active Learning for Telugu Sentiment Analysis.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016
Relevance Detection and Argumentation Mining in Medical Domain.
Proceedings of the Working notes of FIRE 2016, 2016


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