Rishabh Agrawal

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Topics

Open Source Projects

Open Multiagent Systems

Imitation Learning

Computational Science

Top Venues

IEEE Trans. Software Eng.

Publications

K. S. Viswanadh, Akshit Gureja, Nagesh Walchatwar, Rishabh Agrawal, Shiven Sinha, Sachin Chaudhari, Karthik Vaidhyanathan, Venkatesh Choppella, Prabhakar Bhimalapuram, Harikumar Kandath, Aftab M. Hussain
Engineering End-to-End Remote Labs using IoT-based Retrofitting. CoRR (2024)
Akshit Gureja, Rishabh Agrawal, Sachin Chaudhari, Karthik Vaidhyanathan, Venkatesh Choppella
Software Architecture for Multi-User Multiplexing to Enhance Scalability in IoT-Based Remote Labs. WF-IoT (2023)
A. Das, K. S. Viswanadh, Rishabh Agrawal, Akshit Gureja, Nitin Nilesh, Sachin Chaudhari
Using Miniature Setups and Partial Streams for Scalable Remote Labs. FiCloud (2023)
Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar
Conditional Kernel Imitation Learning for Continuous State Environments. CoRR (2023)
Jayantrao Mohite, Suryakant A. Sawant, Rishabh Agrawal, Ankur Pandit, Srinivasu Pappula
Detection of Cover Crop Using Time-Series Remote Sensing Observations. IGARSS (2023)
Rishabh Agrawal, Nirav Ajmeri, Munindar P. Singh
Socially Intelligent Genetic Agents for the Emergence of Explicit Norms. IJCAI (2022)
Xiao Ling, Rishabh Agrawal, Tim Menzies
How Different is Test Case Prioritization for Open and Closed Source Projects? IEEE Trans. Software Eng. 48 (7) (2022)
Tianpei Xia, Wei Fu, Rui Shu, Rishabh Agrawal, Tim Menzies
Predicting health indicators for open source projects (using hyperparameter optimization). Empir. Softw. Eng. 27 (6) (2022)
Amritanshu Agrawal, Xueqi Yang, Rishabh Agrawal, Rahul Yedida, Xipeng Shen, Tim Menzies
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When? IEEE Trans. Software Eng. 48 (8) (2022)
Rishabh Agrawal, Nirav Ajmeri, Munindar P. Singh
Socially Intelligent Genetic Agents for the Emergence of Explicit Norms. CoRR (2022)
Rishabh Agrawal, Sarath Sivaprasad, Niranjan Pedanekar
Color Me Good: Branding in the Coloring Style of Movie Posters. CVPR Workshops (2021)
Amritanshu Agrawal, Xueqi Yang, Rishabh Agrawal, Xipeng Shen, Tim Menzies
Simpler Hyperparameter Optimization for Software Analytics: Why, How, When? CoRR (2020)
Jitender Singh Shekhawat, Rishabh Agrawal, K. Gautam Shenoy, Rajath Shashidhara
A Reinforcement Learning Framework for QoS-Driven Radio Resource Scheduler. GLOBECOM (2020)
Xiao Ling, Rishabh Agrawal, Tim Menzies
How Different is Test Case Prioritization for Open and Closed Source Projects? CoRR (2020)
Yashaswi Rauthan, Vatsala Singh, Rishabh Agrawal, Satej Kadlay, Niranjan Pedanekar, Shirish Subhash Karande, Manasi Malik, Iaphi Tariang
Avoid Crowding in the Battlefield: Semantic Placement of Social Messages in Entertainment Programs. AI4TV@MM (2020)
Huy Tu, Rishabh Agrawal, Tim Menzies
The Changing Nature of Computational Science Software. CoRR (2020)
Rishabh Agrawal, Paridhi Kothari
CoPASample: A Heuristics Based Covariance Preserving Data Augmentation. LOD (2019)
Sarath Sivaprasad, Tanmayee Joshi, Rishabh Agrawal, Niranjan Pedanekar
Multimodal Continuous Prediction of Emotions in Movies using Long Short-Term Memory Networks. ICMR (2018)
Shreyas Kulkarni, Rishabh Agrawal
Determining the Optimal Fuzzifier Range for Alpha-Planes of General Type-2 Fuzzy Sets. FUZZ-IEEE (2018)
Tanwi Mallick, Rishabh Agrawal, Partha Pratim Das, Arun Kumar Majumdar
Omni-directional Reconstruction of Human Figures from Depth Data using Mirrors. VISAPP (3) (2015)
Ramesh Chand Pandey, Rishabh Agrawal, Sanjay Kumar Singh, Kaushal K. Shukla
Passive Copy Move Forgery Detection Using SURF, HOG and SIFT Features. FICTA (1) (2014)