Relevance Detection and Argumentation Mining in Medical Domain. - Vijayasaradhi Indurthi; Subba Reddy Oota (FIRE (Working Notes), 2016)

Tag Me a Label with Multi-arm: Active Learning for Telugu Sentiment Analysis. - Sandeep Sricharan Mukku; Subba Reddy Oota; Radhika Mamidi (DaWaK, 2017)

Metastability of cortical BOLD signals in maturation and senescence. - Shruti Naik; Oota Subbareddy; Arpan Banerjee; Dipanjan Roy; Raju S. Bapi (IJCNN, 2017)

Multi-Arm Active Transfer Learning for Telugu Sentiment Analysis. - Subba Reddy Oota; Vijayasaradhi Indurthi; Mounika Marreddy; Sandeep Sricharan Mukku; Radhika Mamidi (IAL@PKDD/ECML, 2017)

Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language. - Vijayasaradhi Indurthi; Subba Reddy Oota (SemEval@ACL, 2017)

Clickbait detection using word embeddings. - Vijayasaradhi Indurthi; Subba Reddy Oota (CoRR, 2017)

Believe it or not!: identifying bizarre news in online news media. - Vijayasaradhi Indurthi; Subba Reddy Oota; Manish Gupta 001; Vasudeva Varma (COMAD/CODS, 2018)

Evaluating Quality of Word Embeddings with Sentiment Polarity Identification Task. - Vijayasaradhi Indurthi; Subba Reddy Oota (SemWebEval@ESWC, 2018)

fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. - Subba Reddy Oota; Naresh Manwani; Raju S. Bapi (ICONIP (3), 2018)

Affect in Tweets using Experts Model. - Subba Reddy Oota; Adithya Avvaru; Mounika Marreddy; Radhika Mamidi (PACLIC, 2018)

Mixture of Regression Experts in fMRI Encoding. - Subba Reddy Oota; Adithya Avvaru; Naresh Manwani; Raju S. Bapi (CoRR, 2018)

Towards Automated Evaluation of Handwritten Assessments. - Vijay Rowtula; Subba Reddy Oota; C. V. Jawahar (ICDAR, 2019)

StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. - Subba Reddy Oota; Vijay Rowtula; Manish Gupta 001; Raju S. Bapi (IJCNN, 2019)

ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. - Subba Reddy Oota; Naresh Manwani; Raju S. Bapi (CoRR, 2019)

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? - Subba Reddy Oota; Nafisur Rahman; Shahid Saleem Mohammed; Jeffrey Galitz; Ming Liu (CoRR, 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? - Subba Reddy Oota; Nafisur Rahman; Shahid Saleem Mohammed; Jeffrey Galitz; Minghsun Liu (COMAD/CODS, 2021)

Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques. - Mounika Marreddy; Subba Reddy Oota; Lakshmi Sireesha Vakada; Venkata Charan Chinni; Radhika Mamidi (IJCNN, 2021)

HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients. - Subba Reddy Oota; Vijay Rowtula; Shahid Saleem Mohammed; Jeffrey Galitz; Minghsun Liu; Manish Gupta 001 (WACV, 2021)

TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers. - Suma Reddy Duggenpudi; Subba Reddy Oota; Mounika Marreddy; Radhika Mamidi (ACL (student), 2022)

Deep Learning for Brain Encoding and Decoding. - Subba Reddy Oota; Jashn Arora; Manish Gupta 001; Raju Surampudi Bapi; Mariya Toneva (CogSci, 2022)

Long-Term Plausibility of Language Models and Neural Dynamics during Narrative Listening. - Subba Reddy Oota; Frédéric Alexandre; Xavier Hinaut (CogSci, 2022)

Multi-view and Cross-view Brain Decoding. - Subba Reddy Oota; Jashn Arora; Manish Gupta 001; Raju S. Bapi (COLING, 2022)

Visio-Linguistic Brain Encoding. - Subba Reddy Oota; Jashn Arora; Vijay Rowtula; Manish Gupta 001; Raju S. Bapi (COLING, 2022)

Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language. - Mounika Marreddy; Subba Reddy Oota; Lakshmi Sireesha Vakada; Venkata Charan Chinni; Radhika Mamidi (IJCNN, 2022)

Multiple GraphHeat Networks for Structural to Functional Brain Mapping. - Subba Reddy Oota; Archi Yadav; Arpita Dash; Raju S. Bapi; Avinash Sharma 001 (IJCNN, 2022)

Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? - Subba Reddy Oota; Jashn Arora; Veeral Agarwal; Mounika Marreddy; Manish Gupta 001; Bapi Raju Surampudi (NAACL-HLT, 2022)

Cross-view Brain Decoding. - Subba Reddy Oota; Jashn Arora; Manish Gupta 001; Raju S. Bapi (CoRR, 2022)

How does the brain process syntactic structure while listening? - Subba Reddy Oota; Mounika Marreddy; Manish Gupta 001; Raju S. Bapi (ACL (Findings), 2023)

On Robustness of Finetuned Transformer-based NLP Models. - Pavan Kalyan Reddy Neerudu; Subba Reddy Oota; Mounika Marreddy; Venkateswara Rao Kagita; Manish Gupta 001 (EMNLP (Findings), 2023)

Neural Architecture of Speech. - Subba Reddy Oota; Khushbu Pahwa; Mounika Marreddy; Manish Gupta 001; Raju S. Bapi (ICASSP, 2023)

GAE-ISUMM: Unsupervised Graph-based Summarization for Indian Languages. - Lakshmi Sireesha Vakada; Anudeep Chaluvadi; Mounika Marreddy; Subba Reddy Oota; Radhika Mamidi (IJCNN, 2023)

Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? - Subba Reddy Oota; Veeral Agarwal; Mounika Marreddy; Manish Gupta 001; Raju S. Bapi (INTERSPEECH, 2023)

MEG Encoding using Word Context Semantics in Listening Stories. - Subba Reddy Oota; Nathan Trouvain; Frédéric Alexandre; Xavier Hinaut (INTERSPEECH, 2023)

Joint processing of linguistic properties in brains and language models. - Subba Reddy Oota; Manish Gupta 001; Mariya Toneva (NeurIPS, 2023)

WSNet: Towards An Effective Method for Wound Image Segmentation. - Subba Reddy Oota; Vijay Rowtula; Shahid Saleem Mohammed; Minghsun Liu; Manish Gupta 001 (WACV, 2023)

Syntactic Structure Processing in the Brain while Listening. - Subba Reddy Oota; Mounika Marreddy; Manish Gupta 001; Bapi Raju Surampudi (CoRR, 2023)

Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). - Subba Reddy Oota; Manish Gupta 001; Raju S. Bapi; Gaël Jobard; Frédéric Alexandre; Xavier Hinaut (CoRR, 2023)

Am I a Resource-Poor Language? Data Sets, Embeddings, Models and Analysis for four different NLP Tasks in Telugu Language. - Mounika Marreddy; Subba Reddy Oota; Lakshmi Sireesha Vakada; Venkata Charan Chinni; Radhika Mamidi (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Speech language models lack important brain-relevant semantics. - Subba Reddy Oota; Emin Çelik; Fatma Deniz; Mariya Toneva (ACL (1), 2024)

Language Models and Brain Alignment: Brain Encoding and Decoding. - Subba Reddy Oota; Raju Surampudi Bapi (COMAD/CODS (December), 2024)

USDC: A Dataset of User Stance and Dogmatism in Long Conversations. - Mounika Marreddy; Subba Reddy Oota; Venkata Charan Chinni; Manish Gupta 001; Lucie Flek (CoRR, 2024)

IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? - Akhilesh Aravapalli; Mounika Marreddy; Subba Reddy Oota; Radhika Mamidi; Manish Gupta 001 (CoRR, 2024)

Neuro-computational models of language comprehension : characterizing similarities and differences between language processing in brains and language models. (Modèles neurocomputationnels de la compréhension du langage : caractérisation des similarités et des différences entre le traitement cérébral du langage et les modèles de langage). - Subba Reddy Oota (2024)

USDC: A Dataset of underlineUser underlineStance and underlineDogmatism in Long underlineConversations. - Mounika Marreddy; Subba Reddy Oota; Venkata Charan Chinni; Manish Gupta 001; Lucie Flek (ACL (Findings), 2025)

Large Language Models Are Human-Like Annotators. - Mounika Marreddy; Subba Reddy Oota; Manish Gupta 001 (ECIR (5), 2025)

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). - Subba Reddy Oota; Akshett Rai Jindal; Ishani Mondal; Khushbu Pahwa; Satya Sai Srinath Namburi GNVV; Manish Shrivastava 001; Maneesh Kumar Singh 002; Bapi Raju Surampudi; Manish Gupta 001 (ICLR, 2025)

Multi-modal brain encoding models for multi-modal stimuli. - Subba Reddy Oota; Khushbu Pahwa; Mounika Marreddy; Maneesh Kumar Singh 002; Manish Gupta 001; Bapi Raju Surampudi (ICLR, 2025)

Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). - Subba Reddy Oota; Zijiao Chen; Manish Gupta 001; Bapi Raju Surampudi; Gaël Jobard; Frédéric Alexandre; Xavier Hinaut (Trans. Mach. Learn. Res., 2025)

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain). - Subba Reddy Oota; Akshett Jindal; Ishani Mondal; Khushbu Pahwa; Satya Sai Srinath Namburi; Manish Shrivastava 001; Maneesh Kumar Singh 002; Raju Surampudi Bapi; Manish Gupta 001 (CoRR, 2025)

Instruction-Tuned Video-Audio Models Elucidate Functional Specialization in the Brain. - Subba Reddy Oota; Khushbu Pahwa; Prachi Jindal; Satya Sai Srinath Namburi; Maneesh Kumar Singh 002; Tanmoy Chakraborty 002; Raju S. Bapi; Manish Gupta 001 (CoRR, 2025)