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2020 – today
- 2024
[j3]Sayani Mallick, Veeky Baths:
Novel deep learning framework for detection of epileptic seizures using EEG signals. Frontiers Comput. Neurosci. 18 (2024)- [i13]Hugo Laurençon, Yesoda Bhargava, Riddhi Zantye, Charbel-Raphaël Ségerie, Johann Lussange, Veeky Baths, Boris Gutkin:
Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL) : Towards Biological Self-Autonomous Agent. CoRR abs/2401.08999 (2024) - [i12]Somesh Singh, Harini S. I, Yaman Kumar Singla, Veeky Baths, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy:
LLaVA Finds Free Lunch: Teaching Human Behavior Improves Content Understanding Abilities Of LLMs. CoRR abs/2405.00942 (2024) - 2023
- [c15]Merina Dhara
, Veeky Baths, Aiswarya Subramanian:
Pathrank Algorithm: Ranking Proteins in Mycobacterium Tuberculosis and Human PPI Weighted Bipartite Graph Network. ICACDS 2023: 414-425 - [c14]Ritwik Jain, Prakhar Jaiman, Veeky Baths:
Feature Engineering for an Efficient Motor Related EcoG BCI System. SMC 2023: 4720-4727 - [i11]Harini S. I, Somesh Singh, Yaman Kumar Singla, Aanisha Bhattacharyya, Veeky Baths, Changyou Chen, Rajiv Ratn Shah, Balaji Krishnamurthy:
Long-Term Memorability On Advertisements. CoRR abs/2309.00378 (2023) - 2022
- [j2]Ajay Subramanian, Sharad Chitlangia, Veeky Baths:
Reinforcement learning and its connections with neuroscience and psychology. Neural Networks 145: 271-287 (2022) - [c13]Shounak Naik, Rajaswa Patil, Swati Agarwal, Veeky Baths:
Probing Semantic Grounding in Language Models of Code with Representational Similarity Analysis. ADMA (2) 2022: 395-406 - [c12]Yash Kumar, Piyush Maheshwari, Shreyansh Joshi, Veeky Baths:
ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer's Disease. ICCAI 2022: 207-213 - [i10]Shounak Naik, Rajaswa Patil, Swati Agarwal, Veeky Baths:
Probing Semantic Grounding in Language Models of Code with Representational Similarity Analysis. CoRR abs/2207.07706 (2022) - 2021
- [j1]Bhargav Prakash, Gautam Kumar Baboo, Veeky Baths:
A Novel Approach to Learning Models on EEG Data Using Graph Theory Features - A Comparative Study. Big Data Cogn. Comput. 5(3): 39 (2021) - [c11]Lizy Kanungo, Nikhil Garg, Anish Bhobe, Smit Rajguru, Veeky Baths:
Wheelchair Automation by a Hybrid BCI System Using SSVEP and Eye Blinks. SMC 2021: 411-416 - [i9]Rajaswa Patil, Jasleen Dhillon, Siddhant Mahurkar, Saumitra Kulkarni, Manav Malhotra, Veeky Baths:
Vyākarana: A Colorless Green Benchmark for Syntactic Evaluation in Indic Languages. CoRR abs/2103.00854 (2021) - [i8]Arijit Gupta, Rajaswa Patil, Veeky Baths:
Using Diachronic Distributed Word Representations as Models of Lexical Development in Children. CoRR abs/2105.05091 (2021) - [i7]Lizy Kanungo, Nikhil Garg, Anish Bhobe, Smit Rajguru, Veeky Baths:
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks. CoRR abs/2106.11008 (2021) - [i6]Akshay Valsaraj, Ithihas Madala, Nikhil Garg, Veeky Baths:
Alzheimers Dementia Detection using Acoustic & Linguistic features and Pre-Trained BERT. CoRR abs/2109.11010 (2021) - [i5]Mahak Kothari, Shreyansh Joshi, Adarsh Nandanwar, Aadetya Jaiswal, Veeky Baths:
Deep Neural Networks on EEG Signals to Predict Auditory Attention Score Using Gramian Angular Difference Field. CoRR abs/2110.12503 (2021) - [i4]Yash Kumar, Piyush Maheshwari, Shreyansh Joshi, Veeky Baths:
ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer's Disease. CoRR abs/2110.13023 (2021) - 2020
- [c10]Akshay Valsaraj, Ithihas Madala, Nikhil Garg, Mohit Patil, Veeky Baths:
Motor Imagery Based Multimodal Biometric User Authentication System Using EEG. CW 2020: 272-279 - [c9]Alish Dipani, Gaurav Iyer, Veeky Baths:
Recognizing Music Mood and Theme Using Convolutional Neural Networks and Attention. MediaEval 2020 - [c8]Rajaswa Patil, Veeky Baths:
CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights Based Counterfactual Detection. SemEval@COLING 2020: 451-457 - [c7]Kshitij Chhabra, Pranay Mathur, Veeky Baths:
BCI Controlled Quadcopter Using SVM and Recursive LSE Implemented on ROS. SMC 2020: 4250-4255 - [i3]Rajaswa Patil, Veeky Baths:
CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights based Counterfactual Detection. CoRR abs/2006.00609 (2020) - [i2]Ajay Subramanian, Sharad Chitlangia, Veeky Baths:
Psychological and Neural Evidence for Reinforcement Learning: A Survey. CoRR abs/2007.01099 (2020)
2010 – 2019
- 2019
- [c6]Mohit Patil, Nikhil Garg, Lizy Kanungo, Veeky Baths:
Study of motor imagery for multiclass brain system interface with a special focus in the same limb movement. ICCI*CC 2019: 90-96 - [c5]Prabhav Mehra, Rajee Gupta, Abhishek Mahajan, Veeky Baths:
Multicollinearity Analysis for Cuffless Blood Pressure Estimation Regression Algorithms. ICBSP 2019: 89-93 - [c4]Shivam, Nilanjana Goswami, Veeky Baths, Soumyadip Bandyopadhyay:
AES: Automated Evaluation Systems for Computer Programing Course. ICSOFT 2019: 508-513 - 2017
- [c3]Advait Balaji, Aparajita Haldar, Keshav Patil, Sai Ruthvik Thandayam, C. A. Valliappan, Mayur Jartarkar, Veeky Baths:
EEG-based classification of bilingual unspoken speech using ANN. EMBC 2017: 1022-1025 - 2016
- [c2]C. A. Valliappan, Advait Balaji, Sai Ruthvik Thandayam, Piyush Dhingra, Veeky Baths:
A Portable Real Time ECG Device for Arrhythmia Detection Using Raspberry Pi. MobiHealth 2016: 177-184 - 2014
- [c1]Kratarth Goel, Raunaq Vohra, Anant Kamath, Veeky Baths:
Home automation using SSVEP & eye-blink detection based brain-computer interface. SMC 2014: 4035-4036 - [i1]Kratarth Goel, Raunaq Vohra, Anant Kamath, Veeky Baths:
Home Automation Using SSVEP & Eye-Blink Detection Based Brain-Computer Interface. CoRR abs/1412.7932 (2014)
Coauthor Index
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last updated on 2024-09-13 01:38 CEST by the dblp team
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