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Rishabh Agrawal
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2020 – today
- 2024
- [j4]Yifang Pan, Rishabh Agrawal, Karan Singh:
S3: Speech, Script and Scene driven Head and Eye Animation. ACM Trans. Graph. 43(4): 47:1-47:12 (2024) - [c14]Tanmay Khule, Rishabh Agrawal, Apurva Narayan:
PFA-ERC: Psuedo-Future Augmented Dynamic Emotion Recognition in Conversations. EMNLP (Findings) 2024: 16196-16207 - [c13]A. Marri, V. Nipane, Rishabh Agrawal, Sachin Chaudhari, Prabhakar Bhimalapuram:
Low-Cost Retrofitted IoT Based Titration Setup for Remote Labs. FiCloud 2024: 109-116 - [i6]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 abs/2402.05466 (2024) - [i5]Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar:
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning. CoRR abs/2408.09125 (2024) - 2023
- [c12]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: 256-263 - [c11]Jayantrao Mohite, Suryakant A. Sawant, Rishabh Agrawal, Ankur Pandit, Srinivasu Pappula:
Detection of Cover Crop Using Time-Series Remote Sensing Observations. IGARSS 2023: 3430-3433 - [c10]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: 1-7 - [i4]Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar:
Conditional Kernel Imitation Learning for Continuous State Environments. CoRR abs/2308.12573 (2023) - 2022
- [j3]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): 122 (2022) - [j2]Xiao Ling, Rishabh Agrawal, Tim Menzies:
How Different is Test Case Prioritization for Open and Closed Source Projects? IEEE Trans. Software Eng. 48(7): 2526-2540 (2022) - [j1]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): 2939-2954 (2022) - [c9]Rishabh Agrawal, Nirav Ajmeri, Munindar P. Singh:
Socially Intelligent Genetic Agents for the Emergence of Explicit Norms. IJCAI 2022: 10-16 - [i3]Rishabh Agrawal, Nirav Ajmeri, Munindar P. Singh:
Socially Intelligent Genetic Agents for the Emergence of Explicit Norms. CoRR abs/2208.03789 (2022) - 2021
- [c8]Rishabh Agrawal, Sarath Sivaprasad, Niranjan Pedanekar:
Color Me Good: Branding in the Coloring Style of Movie Posters. CVPR Workshops 2021: 3899-3903 - 2020
- [c7]Jitender Singh Shekhawat, Rishabh Agrawal, Konchady Gautam Shenoy, Rajath Shashidhara:
A Reinforcement Learning Framework for QoS-Driven Radio Resource Scheduler. GLOBECOM 2020: 1-7 - [c6]Yashaswi Rauthan, Vatsala Singh, Rishabh Agrawal, Satej Kadlay, Niranjan Pedanekar, Shirish Karande, Manasi Malik, Iaphi Tariang:
Avoid Crowding in the Battlefield: Semantic Placement of Social Messages in Entertainment Programs. AI4TV@MM 2020: 31-36 - [i2]Huy Tu, Rishabh Agrawal, Tim Menzies:
The Changing Nature of Computational Science Software. CoRR abs/2003.05922 (2020) - [i1]Xiao Ling, Rishabh Agrawal, Tim Menzies:
How Different is Test Case Prioritization for Open and Closed Source Projects? CoRR abs/2008.00612 (2020)
2010 – 2019
- 2019
- [c5]Rishabh Agrawal, Paridhi Kothari:
CoPASample: A Heuristics Based Covariance Preserving Data Augmentation. LOD 2019: 308-320 - 2018
- [c4]Shreyas Kulkarni, Rishabh Agrawal:
Determining the Optimal Fuzzifier Range for Alpha-Planes of General Type-2 Fuzzy Sets. FUZZ-IEEE 2018: 1-8 - [c3]Sarath Sivaprasad, Tanmayee Joshi, Rishabh Agrawal, Niranjan Pedanekar:
Multimodal Continuous Prediction of Emotions in Movies using Long Short-Term Memory Networks. ICMR 2018: 413-419 - 2015
- [c2]Tanwi Mallick, Rishabh Agrawal, Partha Pratim Das, Arun Kumar Majumdar:
Omni-directional Reconstruction of Human Figures from Depth Data using Mirrors. VISAPP (3) 2015: 559-566 - 2014
- [c1]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: 659-666
Coauthor Index
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last updated on 2024-11-30 00:15 CET by the dblp team
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