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Journal Articles
- 2023
[j3]Sruti Mallik, Ahana Gangopadhyay:
Proactive and reactive engagement of artificial intelligence methods for education: a review. Frontiers Artif. Intell. 6 (2023)- 2018
- [j2]Ahana Gangopadhyay, Oindrila Chatterjee
, Shantanu Chakrabartty:
Extended Polynomial Growth Transforms for Design and Training of Generalized Support Vector Machines. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1961-1974 (2018) - [j1]Ahana Gangopadhyay, Shantanu Chakrabartty:
Spiking, Bursting, and Population Dynamics in a Network of Growth Transform Neurons. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2379-2391 (2018)
Conference and Workshop Papers
- 2023
- [c4]Xiaohui Zhang, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni:
Diffusion Model-Based Data Augmentation for Lung Ultrasound Classification with Limited Data. ML4H@NeurIPS 2023: 664-676 - 2022
- [c3]Ahana Gangopadhyay, Indrajit Bardhan, Anirban Das, Nitish Subhash Soman, Santanu Das:
Democratizing Language Learning using Machine Learning. CISS 2022: 137-141 - 2018
- [c2]Ahana Gangopadhyay, Oindrila Chatterjee, Shantanu Chakrabartty:
Continuous-time Optimization using Sub-threshold Current-mode Growth Transform Circuits. MWSCAS 2018: 246-249 - 2017
- [c1]John MacKay, Ahana Gangopadhyay, Shantanu Chakrabartty:
FPGA demonstration of spiking support vector networks based on growth transform neurons. ISCAS 2017: 1
Informal and Other Publications
- 2023
- [i2]Sruti Mallik, Ahana Gangopadhyay:
Proactive and Reactive Engagement of Artificial Intelligence Methods for Education: A Review. CoRR abs/2301.10231 (2023) - 2019
- [i1]Lijun Zhang, Srinath Nizampatnam, Ahana Gangopadhyay, Marcos V. Conde:
Multi-attention Networks for Temporal Localization of Video-level Labels. CoRR abs/1911.06866 (2019)
Coauthor Index
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