Subba Reddy Oota

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 48

Top Topics

Neural Dynamics

Indian Languages

Transfer Learning

Top Venues

Publications

Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek
USDC: A Dataset of User Stance and Dogmatism in Long Conversations. CoRR (2024)
Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva
Speech language models lack important brain-relevant semantics. ACL (1) (2024)
Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta
On Robustness of Finetuned Transformer-based NLP Models. CoRR (2023)
Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi
Neural Architecture of Speech. ICASSP (2023)
Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta 001
On Robustness of Finetuned Transformer-based NLP Models. EMNLP (Findings) (2023)
Lakshmi Sireesha Vakada, Anudeep Chaluvadi, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi
GAE-ISUMM: Unsupervised Graph-based Summarization for Indian Languages. IJCNN (2023)
Subba Reddy Oota, Nathan Trouvain, Frédéric Alexandre, Xavier Hinaut
MEG Encoding using Word Context Semantics in Listening Stories. INTERSPEECH (2023)
Subba Reddy Oota, Manish Gupta, Mariya Toneva
Joint processing of linguistic properties in brains and language models. NeurIPS (2023)
Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi
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. 22 (1) (2023)
Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi
How does the brain process syntactic structure while listening? ACL (Findings) (2023)
Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva
Speech language models lack important brain-relevant semantics. CoRR (2023)
Subba Reddy Oota, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Raju S. Bapi
Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? INTERSPEECH (2023)
Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Minghsun Liu, Manish Gupta
WSNet: Towards An Effective Method for Wound Image Segmentation. WACV (2023)
Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Bapi Raju Surampud
Syntactic Structure Processing in the Brain while Listening. CoRR (2023)
Subba Reddy Oota, Manish Gupta, Raju S. Bapi, Gaël Jobard, Frédéric Alexandre, Xavier Hinaut
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). CoRR (2023)
Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi
Cross-view Brain Decoding. CoRR (2022)
Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language. CoRR (2022)
Subba Reddy Oota, Archi Yadav, Arpita Dash, Raju S. Bapi, Avinash Sharma
Multiple GraphHeat Networks for Structural to Functional Brain Mapping. IJCNN (2022)
Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi
Visio-Linguistic Brain Encoding. CoRR (2022)
Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi
Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language. IJCNN (2022)
Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi, Mariya Toneva
Deep Learning for Brain Encoding and Decoding. CogSci (2022)
Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? NAACL-HLT (2022)
Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi
Visio-Linguistic Brain Encoding. COLING (2022)
Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi
Multi-view and Cross-view Brain Decoding. COLING (2022)
Suma Reddy Duggenpudi, Subba Reddy Oota, Mounika Marreddy, Radhika Mamidi
TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers. ACL (student) (2022)
Lakshmi Sireesha Vakada, Anudeep Chaluvadi, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi
GAE-ISumm: Unsupervised Graph-Based Summarization of Indian Languages. CoRR (2022)
Subba Reddy Oota, Manish Gupta, Mariya Toneva
Joint processing of linguistic properties in brains and language models. CoRR (2022)
Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut
Long-Term Plausibility of Language Models and Neural Dynamics during Narrative Listening. CogSci (2022)
Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? CoRR (2022)
Subba Reddy Oota, Nafisur Rahman, Shahid Saleem Mohammed, Jeffrey Galitz, Minghsun Liu
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? COMAD/CODS (2021)
Mounika Marreddy, Subba Reddy Oota, Lakshmi Sireesha Vakada, Venkata Charan Chinni, Radhika Mamidi
Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques. IJCNN (2021)
Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Jeffrey Galitz, Minghsun Liu, Manish Gupta
HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients. WACV (2021)
Subba Reddy Oota, Nafisur Rahman, Shahid Saleem Mohammed, Jeffrey Galitz, Ming Liu
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)
Subba Reddy Oota, Adithya Avvaru, Mounika Marreddy, Radhika Mamidi
Affect in Tweets Using Experts Model. CoRR (2019)
Vijay Rowtula, Subba Reddy Oota, C. V. Jawahar
Towards Automated Evaluation of Handwritten Assessments. ICDAR (2019)
Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. CoRR (2019)
Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi
StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. IJCNN (2019)
Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. ICONIP (3) (2018)
Subba Reddy Oota, Adithya Avvaru, Naresh Manwani, Raju S. Bapi
Mixture of Regression Experts in fMRI Encoding. CoRR (2018)
Vijayasaradhi Indurthi, Subba Reddy Oota, Manish Gupta, Vasudeva Varma
Believe it or not!: identifying bizarre news in online news media. COMAD/CODS (2018)
Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings. CoRR (2018)
Subba Reddy Oota, Adithya Avvaru, Mounika Marreddy, Radhika Mamidi
Affect in Tweets using Experts Model. PACLIC (2018)
Vijayasaradhi Indurthi, Subba Reddy Oota
Evaluating Quality of Word Embeddings with Sentiment Polarity Identification Task. SemWebEval@ESWC (2018)
Subba Reddy Oota, Vijayasaradhi Indurthi, Mounika Marreddy, Sandeep Sricharan Mukku, Radhika Mamidi
Multi-Arm Active Transfer Learning for Telugu Sentiment Analysis. IAL@PKDD/ECML (2017)
Vijayasaradhi Indurthi, Subba Reddy Oota
Clickbait detection using word embeddings. CoRR (2017)
Sandeep Sricharan Mukku, Subba Reddy Oota, Radhika Mamidi
Tag Me a Label with Multi-arm: Active Learning for Telugu Sentiment Analysis. DaWaK (2017)
Vijayasaradhi Indurthi, Subba Reddy Oota
Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language. SemEval@ACL (2017)
Vijayasaradhi Indurthi, Subba Reddy Oota
Relevance Detection and Argumentation Mining in Medical Domain. FIRE (Working Notes) (2016)