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Subba Reddy Oota
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2020 – today
- 2024
- [c31]Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva:
Speech language models lack important brain-relevant semantics. ACL (1) 2024: 8503-8528 - [i18]Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek:
USDC: A Dataset of User Stance and Dogmatism in Long Conversations. CoRR abs/2406.16833 (2024) - [i17]Akhilesh Aravapalli, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi, Manish Gupta:
IndicSentEval: How Effectively do Multilingual Transformer Models encode Linguistic Properties for Indic Languages? CoRR abs/2410.02611 (2024) - 2023
- [j1]Mounika Marreddy
, Subba Reddy Oota
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): 18:1-18:34 (2023) - [c30]Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
How does the brain process syntactic structure while listening? ACL (Findings) 2023: 6624-6647 - [c29]Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta:
On Robustness of Finetuned Transformer-based NLP Models. EMNLP (Findings) 2023: 7180-7195 - [c28]Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
Neural Architecture of Speech. ICASSP 2023: 1-5 - [c27]Lakshmi Sireesha Vakada, Anudeep Chaluvadi, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi:
GAE-ISUMM: Unsupervised Graph-based Summarization for Indian Languages. IJCNN 2023: 1-8 - [c26]Subba Reddy Oota, Nathan Trouvain, Frédéric Alexandre, Xavier Hinaut:
MEG Encoding using Word Context Semantics in Listening Stories. INTERSPEECH 2023: 5152-5156 - [c25]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: 5167-5171 - [c24]Subba Reddy Oota, Manish Gupta, Mariya Toneva:
Joint processing of linguistic properties in brains and language models. NeurIPS 2023 - [c23]Subba Reddy Oota, Vijay Rowtula, Shahid Saleem Mohammed, Minghsun Liu, Manish Gupta:
WSNet: Towards An Effective Method for Wound Image Segmentation. WACV 2023: 3233-3242 - [i16]Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi:
Syntactic Structure Processing in the Brain while Listening. CoRR abs/2302.08589 (2023) - [i15]Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta:
On Robustness of Finetuned Transformer-based NLP Models. CoRR abs/2305.14453 (2023) - [i14]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 abs/2307.10246 (2023) - [i13]Subba Reddy Oota, Emin Çelik, Fatma Deniz, Mariya Toneva:
Speech language models lack important brain-relevant semantics. CoRR abs/2311.04664 (2023) - 2022
- [c22]Suma Reddy Duggenpudi, Subba Reddy Oota, Mounika Marreddy, Radhika Mamidi:
TeluguNER: Leveraging Multi-Domain Named Entity Recognition with Deep Transformers. ACL (student) 2022: 262-272 - [c21]Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju Surampudi Bapi, Mariya Toneva:
Deep Learning for Brain Encoding and Decoding. CogSci 2022 - [c20]Subba Reddy Oota, Frédéric Alexandre, Xavier Hinaut:
Long-Term Plausibility of Language Models and Neural Dynamics during Narrative Listening. CogSci 2022 - [c19]Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi:
Multi-view and Cross-view Brain Decoding. COLING 2022: 105-115 - [c18]Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
Visio-Linguistic Brain Encoding. COLING 2022: 116-133 - [c17]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: 1-8 - [c16]Subba Reddy Oota, Archi Yadav, Arpita Dash, Raju S. Bapi
Multiple GraphHeat Networks for Structural to Functional Brain Mapping. IJCNN 2022: 1-8 - [c15]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: 3220-3237 - [i12]Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
Visio-Linguistic Brain Encoding. CoRR abs/2204.08261 (2022) - [i11]Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi:
Cross-view Brain Decoding. CoRR abs/2204.09564 (2022) - [i10]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 abs/2205.01204 (2022) - [i9]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 abs/2205.01404 (2022) - [i8]Subba Reddy Oota, Manish Gupta, Mariya Toneva
Joint processing of linguistic properties in brains and language models. CoRR abs/2212.08094 (2022) - [i7]Lakshmi Sireesha Vakada, Anudeep Chaluvadi, Mounika Marreddy, Subba Reddy Oota, Radhika Mamidi:
GAE-ISumm: Unsupervised Graph-Based Summarization of Indian Languages. CoRR abs/2212.12937 (2022) - 2021
- [c14]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: 359-365 - [c13]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: 1-8 - [c12]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: 2462-2471 - 2020
- [i6]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 abs/2010.02742 (2020)
2010 – 2019
- 2019
- [c11]Vijay Rowtula, Subba Reddy Oota, C. V. Jawahar
Towards Automated Evaluation of Handwritten Assessments. ICDAR 2019: 426-433 - [c10]Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi
StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. IJCNN 2019: 1-8 - [i5]Subba Reddy Oota, Adithya Avvaru, Mounika Marreddy, Radhika Mamidi:
Affect in Tweets Using Experts Model. CoRR abs/1904.00762 (2019) - [i4]Subba Reddy Oota, Naresh Manwani, Raju S. Bapi:
ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. CoRR abs/1909.12299 (2019) - 2018
- [c9]Vijayasaradhi Indurthi, Subba Reddy Oota, Manish Gupta, Vasudeva Varma
Believe it or not!: identifying bizarre news in online news media. COMAD/CODS 2018: 257-264 - [c8]Vijayasaradhi Indurthi, Subba Reddy Oota:
Evaluating Quality of Word Embeddings with Sentiment Polarity Identification Task. SemWebEval@ESWC 2018: 232-237 - [c7]Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. ICONIP (3) 2018: 3-15 - [c6]Subba Reddy Oota, Adithya Avvaru, Mounika Marreddy, Radhika Mamidi:
Affect in Tweets using Experts Model. PACLIC 2018 - [i3]Subba Reddy Oota, Naresh Manwani, Raju S. Bapi:
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings. CoRR abs/1806.05177 (2018) - [i2]Subba Reddy Oota, Adithya Avvaru, Naresh Manwani, Raju S. Bapi:
Mixture of Regression Experts in fMRI Encoding. CoRR abs/1811.10740 (2018) - 2017
- [c5]Sandeep Sricharan Mukku
Tag Me a Label with Multi-arm: Active Learning for Telugu Sentiment Analysis. DaWaK 2017: 355-367 - [c4]Shruti Naik, Oota Subbareddy, Arpan Banerjee
Metastability of cortical BOLD signals in maturation and senescence. IJCNN 2017: 4564-4570 - [c3]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: 62-63 - [c2]Vijayasaradhi Indurthi, Subba Reddy Oota:
Fermi at SemEval-2017 Task 7: Detection and Interpretation of Homographic puns in English Language. SemEval@ACL 2017: 457-460 - [i1]Vijayasaradhi Indurthi, Subba Reddy Oota:
Clickbait detection using word embeddings. CoRR abs/1710.02861 (2017) - 2016
- [c1]Vijayasaradhi Indurthi, Subba Reddy Oota:
Relevance Detection and Argumentation Mining in Medical Domain. FIRE (Working Notes) 2016: 214-216
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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