| A fully spiking hybrid neural network for energy-efficient object detection B Chakraborty, X She, S Mukhopadhyay IEEE Transactions on Image Processing 30, 9014-9029, 2021 | 34 | 2021 |
| Cost-aware feature selection for IoT device classification B Chakraborty, DM Divakaran, I Nevat, GW Peters, M Gurusamy IEEE Internet of Things Journal 8 (14), 11052-11064, 2021 | 23 | 2021 |
| Designing phase-sensitive common spatial pattern filter to improve brain-computer interfacing B Chakraborty, L Ghosh, A Konar IEEE Transactions on Biomedical Engineering 67 (7), 2064-2072, 2019 | 18 | 2019 |
| Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification B Chakraborty, S Mukhopadhyay Frontiers in Neuroscience, 2022 | 15 | 2022 |
| Optimal selection of EEG electrodes using interval type-2 fuzzy-logic-based semiseparating signaling game B Chakraborty, L Ghosh, A Konar IEEE Transactions on Cybernetics 51 (12), 6200-6212, 2020 | 13 | 2020 |
| Characterization of Generalizability of Spike Timing Dependent Plasticity trained Spiking Neural Networks B Chakraborty, S Mukhopadhyay Frontiers in Neuroscience, 2021 | 9 | 2021 |
| Design and evaluation of self-assembled actin-based nano-communication OA Dambri, S Cherkaoui, B Chakraborty 2019 15th International Wireless Communications & Mobile Computing …, 2019 | 7 | 2019 |
| Reliable edge intelligence in unreliable environment M Lee, X She, B Chakraborty, S Dash, B Mudassar, S Mukhopadhyay 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 896-901, 2021 | 6 | 2021 |
| Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles B Chakraborty, S Mukhopadhyay 2023 International Conference on Learning Representations (ICLR), 2023 | 4 | 2023 |
| MONETA: A processing-in-memory-based hardware platform for the hybrid convolutional spiking neural network with online learning D Kim, B Chakraborty, X She, E Lee, B Kang, S Mukhopadhyay Frontiers in Neuroscience 16, 775457, 2022 | 4 | 2022 |
| Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception B Chakraborty, U Kamal, X She, S Dash, S Mukhopadhyay 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 3 | 2023 |
| Improving network throughput by hardware realization of a dynamic content caching scheme for information-centric networking (ICN) A Ghosh, B Chakraborty, A Raha, A Mukherjee Wireless Personal Communications 116, 2873-2898, 2021 | 3 | 2021 |
| Brain-Inspired Spiking Neural Network for Online Unsupervised Time Series Prediction B Chakraborty, S Mukhopadhyay 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 2 | 2023 |
| Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN B Chakraborty, B Kang, H Kumar, S Mukhopadhyay arXiv preprint arXiv:2403.03409, 2024 | 1 | 2024 |
| XMD: An expansive Hardware-telemetry based Mobile Malware Detector for Endpoint Detection H Kumar, B Chakraborty, S Sharma, S Mukhopadhyay IEEE Transactions on Information Forensics and Security, 2023 | 1 | 2023 |
| Xmd: An expansive hardware-telemetry based malware detector to enhance endpoint detection H Kumar, B Chakraborty, S Sharma, N Chawla, S Mukhopadhyay arXiv preprint, 2022 | 1 | 2022 |
| Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach D Dewan, L Ghosh, B Chakraborty, A Chowdhury, A Konar, AK Nagar 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 1 | 2020 |
| Phase-sensitive common spatial pattern for EEG classification B Chakraborty, S Ghosal, L Ghosh, A Konar, AK Nagar 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 1 | 2019 |
| Optimal cache allocation in a mobility based heterogeneous network using Bayesian games B Chakraborty, B Banerjee, A Mukherjee, MK Naskar 2017 IEEE Calcutta Conference (CALCON), 423-427, 2017 | 1 | 2017 |
| Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction B Kang, H Kumar, M Lee, B Chakraborty, S Mukhopadhyay arXiv preprint arXiv:2404.06460, 2024 | | 2024 |
Saibal MukhopadhyayProfessor of Electrical Engineering, Georgia Institute of TechnologyPotvrđena adresa e-pošte na ece.gatech.edu
