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B.E.(Biotechnology)
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Veeky Baths

goa Biological Sciences

Professor

Cognitive Neuroscience, Computational Neuroscience, Consumer Neuroscience, Psycholinguistics
veeky@goa.bits-pilani.ac.in
0832-2580436
https://www.linkedin.com/in/veeky-baths-3824623b/

Publications

  1. Experience of Youths and Older People With Virtual Reality Games for Cognitive Assessment: Inductive Thematic Analysis and Insights for Key Stakeholders. Bhargava Y, Baths V. JMIR XR Spatial Comput 2024;1:e59197 Link
  2. Testing the involvement of low-level visual representations during spoken word processing with non-Western students and meditators practicing Sudarshan Kriya Yoga. Baths, V., Jartarkar, M., Sood, S., Lewis, A.G., Ostarek, M., & Huettig, F. (2024) Brain Research, 1838. Link
  3. Novel deep learning framework for detection of epileptic seizures using EEG signals. Frontiers in Computational Neuroscience. Mallick, S., & Baths, V. (2024). Frontiers in Computational Neuroscience, 18. Link
  4. Subjective Cognitive Decline Prediction on Imbalanced Data using Data Re-sampling and Cost-Sensitive Training Methods. Bhargava Y, Kumar S. S. and Baths V. (2024) Procedia Computer Science. Volume 235, pp 767-778. Link
  5. Decoding the neural signatures of valence and arousal from portable EEG headset. Garg R, Anand A and Baths V (2022) Front. Hum. Neurosci. 16:1051463. doi: 10.3389/fnhum.2022.1051463. Link
  6. Diagnosis of Breast Cancer Using Random Forests. M Minnoor, V Baths (2023) Procedia Computer Science, 218, 429-437. Link
  7. Reinforcement learning and its connections with neuroscience and psychology Ajay Subramanian Sharad Chitlangia Veeky Baths (2022) Neural Networks, Volume 145, Pages 271-287. Link
  8. Tracking the Progression & Influence of Beta-Amyloid Plaques Using Percolation Centrality and Collective Influence Algorithm: A Study using PET images. Gautam Kumar Baboo, Raghav Prasad, Pranav Mahajan, Veeky Baths (2022) Annals of Neurosciences. Link
  9. Comparative Study of Neural Networks (G/C/RNN) and Traditional Machine Learning Models on EEG Datasets Baboo, G.K., Dubey, S., Baths, V. (2023) Proceedings of the International Conference on Cognitive and Intelligent Computing. Cognitive Science and Technology. Springer, Singapore. Link
  10. Using Event-Related Potentials (ERP) to identify the purchase intention of a consumer for familiar brands. Jartarkar, M., Srivastava, K. and Baths, V. (2022) Neuroscience Research Notes, 5(4), p. 163. doi: 10.31117/neuroscirn.v5i4.163. Link
  11. Technology for dementia care: benefits, opportunities and concerns. Bhargava Y, Baths V. (2022) Journal of Global Health Reports ;6:e2022056. doi:10.29392/001c.39606. Link
  12. ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer’s Disease. Yash Kumar,Piyush Maheshwari, Shreyansh Joshi, Veeky Baths. (2022) Proceedings of the 8th International Conference on Computing and Artificial Intelligence. Link
  13. Liver Disease Diagnosis Using Machine Learning M. Minnoor and V. Baths. (2022) IEEE World Conference on Applied Intelligence and Computing (AIC). Link
  14. Novel EEG Features for Consumer Emotion Prediction using Correlation-Based Subset Selection. Mayur Jartarkar, Ashish Sinha, Riddhesh Sawant,Mahak Kothari Veeky Baths. (2022) IMX ’22 – Emotion, Portugal. ACM International Conference on Interactive Media Experiences. Link
  15. Vyakarana: A Colorless Green Benchmark for Syntactic Evaluation in Indic Languages R Patil, J Dhillon, S Mahurkar, S Kulkarni, M Malhotra, V Baths. (2021) Multilingual Representation Learning workshop (EMNLP 2021). Link
  16. Acoustic and Language Based Deep Learning Approaches for Alzheimer’s Dementia Detection From Spontaneous Speech. Mahajan P and Baths V. (2021) Front. Aging Neurosci. 13:623607. doi: 10.3389/fnagi.2021.623607. Link
  17. A Novel Approach to Learning Models on EEG Data Using Graph Theory Features—A Comparative Study. Bhargav Prakash, Gautam Kumar Baboo and Veeky Baths. (2021) Big Data Cogn. Comput. 5(3), 39. Link
  18. Alzheimer’s Dementia Detection Using Acoustic & Linguistic Features and Pre-trained BERT. A. Valsaraj, I. Madala, N. Garg and V. Baths. (2021) 8th International Conference on Soft Computing & Machine Intelligence (ISCMI),pp. 171-175, doi: 10.1109/ISCMI53840.2021.9654804. Link
  19. Using Diachronic Distributed Word Representations as Models of Lexical Development in Children. A Gupta, R Patil, V Baths. (2021) arXiv preprint arXiv:2105.05091. Link
  20. Recognizing Music Mood and Theme Using Convolutional Neural Networks and Attention Alish Dipani, Gaurav Iyer, Veeky Baths. (2021) MediaEval’20. Link
  21. BCI Controlled Quadcopter Using SVM and Recursive LSE Implemented on ROS. K. Chhabra, P. Mathur and V. Baths. (2020) IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada, 2020, pp. 4250-4255. Link
  22. Modelling Causal Reasoning in Language with Multi-Head Self-AttentionWeights based Counterfactual Detection. R.Patil, V.Baths. (2020) Proceedings of the 14th International Workshop on Semantic Evaluation, pages 451–457. Link
  23. Motor Imagery Based Multimodal Biometric User Authentication System Using EEG. A. Valsaraj, I. Madala, N. Garg, M. Patil and V. Baths. (2020) International Conference on Cyberworlds (CW). Link
  24. Study of motor imagery for multiclass brain system interface with a special focus in the same limb movement. Mohit Patil, Nikhil Garg, Lizy Kanungo, Veeky Baths. (2019) IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing. Link
  25. Multicollinearity Analysis for Cuffless Blood Pressure Estimation Regression Algorithms. P Mehra, R Gupta, A Mahajan, V Baths. (2019) ACM 4th International Conference on Biomedical Imaging, Signal Processing Pages 89–93. Link
  26. AES: Automated Evaluation Systems for Computer Programing Course. Shivam, Nilanjana Goswami, Veeky Baths, Soumyadip Bandyopadhyay. (2019) Proceedings of the 14th International Conference on Software Technologies (ICSOFT) 508-513, 2019 , Prague, Czech Republic. Link
  27. Mathematical modeling and dynamics of tuberculosis infection among diabetic patients in India. Merina Dhara,Veeky Baths and P. Danumjaya. (2018) The Journal of Analysis. Link
  28. EEG-based Classification of Bilingual Unspoken Speech using ANN. Advait Balaji, Aparajita Haldar, Keshav Patil, T Sai Ruthvik, Valliappan CA, Mayur Jartarkar,and Veeky Baths. (2017) 39th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC’17). Link
  29. A Portable Real Time ECG Device for Arrhythmia Detection Using Raspberry Pi. C A, Valliappan, Thandayam, Sai Ruthvik, Balaji, Advait ,Dhingra, Piyush ,Baths, Veeky.(2017) Lecture Notes in Computer Science,Volume 192 of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering series: MOBIHEALTH 2016. LNICST 192, pp. 1–8. Link
  30. Comparative Study of Classification Techniques (SVM, Logistic Regression and Neural Networks) to Predict the Prevalence of Heart Disease. Divyansh Khanna, Rohan Sahu, Veeky Baths, and Bharat Deshpande. (2015) International Journal of Machine Learning and Computing, Vol. 5, No. 5. Link
  31. Home Automation Using SSVEP & Eye-Blink Detection Based Brain-Computer Interface. Kratarth Goel, Raunaq Vohra, Anant Kamath, and Veeky Baths. (2014) IEEE International Conference on Systems, Man, and Cybernetics San Diego, CA, USA. Link
  32. Disruption of cell wall fatty acid biosynthesis in Mycobacterium tuberculosis using a graph theoretic approach. Veeky Baths, Utpal Roy and Tarkeshwar Singh. (2011) Theoretical Biology and Medical Modelling, 8:5. Link
  33. Identification of distant coevolving residues in Antigen 85C from Mycobacterium tuberculosis using statistical coupling analysis of esterase family proteins. Veeky Baths, Utpal Roy. (2011) Journal of Biomedical Research, 25(3): 1-5. Link

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