• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 53 matches

• 2024
• 
  Nandini Gandhi, Kaushik Gopalan, Prajish Prasad:
  A Support Vector Machine based approach for plagiarism detection in Python code submissions in undergraduate settings. Frontiers Comput. Sci. 6 (2024)
• 
  Atharva Deshpande, Kaushik Gopalan, Jeet Shah, Hrishikesh Simu:
  A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge. CoRR abs/2412.00451 (2024)
• 2023
• 
  Unnati Koppikar, Rohit Kandakatla, Kaushik Mallibhat, Gopalkrishna Joshi:
  Exploration of Skills Required by Engineering Faculty to Mentor Freshmen Undergraduate Students for Interdisciplinary Design Projects. IEEE Trans. Educ. 66(5): 450-456 (2023)
• 2022
• 
  Preethi Baligar, Kaushik Mallibhat, Sanjeev M. Kavale, Gopalkrishna Joshi:
  Evaluating an Engineering Design Problem for Its Complexity. IEEE Trans. Educ. 65(1): 73-80 (2022)
• 2021
• 
  Unnati Koppikar, Kaushik Mallibhat, Rohit Kandakatla, Gopalkrishna Joshi, Vijayalakshmi M:
  Faculty Development Model for Mentoring Interdisciplinary Engineering Projects. FIE 2021: 1-5
• 
  Vijayalakshmi M, Preethi Baligar, Kaushik Mallibhat, Sanjeev M. Kavale, Gopalkrishna Joshi, Ashok Shettar:
  Transition from In-Person Learning to Technology Enhanced Learning in Engineering Education: Faculty Challenges. FIE 2021: 1-5
• 
  Kaushik Mallibhat, Nandish Humbi, Doddabasappa Marebal, Gopalkrishna Joshi, Madhwacharya Kolhar:
  Project Exhibition In Engineering: A Case Study Of Design and Implementation Of Virtual Exhibition In First-Year Project-Based Learning Course. ICALT 2021: 416-418
• 
  Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy:
  Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. ICDCS 2021: 573-583
• 
  Vishal Anand Aisur Gopalakrishnan, Utsab Kundu, Ranganathan Gurunathan, Kaushik Basu:
  Small Signal Modeling of Series Resonant Converter based on State-plane Analysis. IECON 2021: 1-6
• 
  Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy:
  Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. CoRR abs/2109.06440 (2021)
• 2020
• 
  Minsuk Koo, Gopalakrishnan Srinivasan, Yong Shim, Kaushik Roy:
  sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network With On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(8): 2546-2555 (2020)
• 
  Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy:
  Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. 28(12): 2481-2494 (2020)
• 
  Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
  RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network. CVPR 2020: 13555-13564
• 
  Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy:
  Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ICASSP 2020: 8549-8553
• 
  Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
  Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. ICLR 2020
• 
  Krishna Reddy Kesari, Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy:
  Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity. IJCNN 2020: 1-8
• 
  Minsuk Koo, Gopalakrishnan Srinivasan, Yong Shim, Kaushik Roy:
  sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network with On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. CoRR abs/2002.11163 (2020)
• 
  Jason M. Allred, Steven J. Spencer, Gopalakrishnan Srinivasan, Kaushik Roy:
  Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation. CoRR abs/2003.01250 (2020)
• 
  Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
  RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks. CoRR abs/2003.01811 (2020)
• 
  Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
  Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. CoRR abs/2005.01807 (2020)
• 2019
• 
  Yinghan Long, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
  Structured Learning for Action Recognition in Videos. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(3): 475-484 (2019)
• 
  Kaushik Gopalan, Rajesh Sikhakolli, Abhisek Chakraborty:
  A Bayesian Estimation Technique for Improving the Accuracy of SCATSAT-1 Winds in Rainy Conditions. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(5): 1362-1368 (2019)
• 
  Chankyu Lee, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
  Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity. IEEE Trans. Cogn. Dev. Syst. 11(3): 384-394 (2019)
• 
  Amogh Agrawal, Akhilesh Jaiswal, Deboleena Roy, Bing Han, Gopalakrishnan Srinivasan, Aayush Ankit, Kaushik Roy:
  Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(8): 3064-3076 (2019)
• 
  Deboleena Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy:
  Neural Networks at the Edge. SMARTCOMP 2019: 45-50
• 
  Gopalakrishnan Srinivasan, Kaushik Roy:
  ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing. CoRR abs/1902.04161 (2019)
• 
  Wachirawit Ponghiran, Gopalakrishnan Srinivasan, Kaushik Roy:
  Reinforcement Learning with Low-Complexity Liquid State Machines. CoRR abs/1906.01695 (2019)
• 2018
• 
  Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Bing Han, Parami Wijesinghe, Akhilesh Jaiswal, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy:
  Energy Efficient Neural Computing: A Study of Cross-Layer Approximations. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 796-809 (2018)
• 
  Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
  STDP-based Unsupervised Feature Learning using Convolution-over-time in Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 14(4): 44:1-44:12 (2018)
• 
  Abhishek Teli, A. Amith, K. Bhanu Kaushik, K. Gopala Krishna Vasanth, B. J. Sowmya, S. Seema:
  Efficient Decision Support System on Agrometeorological Data. ISDA (1) 2018: 875-890

skipping 23 more matches