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2020 – today
- 2023
[c5]Vishal Chauhan, Rohit Shukla, Shahabudin Ansari, Anchal Bindiya, Manish Kumar Gupta:
A Systematic Survey on Breast Cancer Detection Using Machine Learning. IC3I 2023: 30-35- 2022
- [j5]Garima Sharma, Rohit Shukla
, Tiratha Raj Singh:
Identification of small molecules against the NMDAR: an insight from virtual screening, density functional theory, free energy landscape and molecular dynamics simulation-based findings. Netw. Model. Anal. Health Informatics Bioinform. 11(1): 31 (2022) - 2021
- [j4]Aditya K. Padhi, Rohit Shukla, Priyam Narain, James Gomes:
A distant angiogenin variant causes amyotrophic lateral sclerosis through loss-of-function mechanisms: Insights from long-timescale atomistic simulations and conformational dynamics. Comput. Biol. Medicine 135: 104602 (2021) - [c4]Muskan Kapoor, Mehak Kapoor, Rohit Shukla, Tiratha Raj Singh:
Early Diagnosis of Alzheimer's Disease using Machine Learning Based Methods. IC3 2021: 70-76 - 2020
- [j3]Kyle Daruwalla, Heng Zhuo, Rohit Shukla, Mikko H. Lipasti:
BitSAD v2: Compiler Optimization and Analysis for Bitstream Computing. ACM Trans. Archit. Code Optim. 16(4): 43:1-43:25 (2020)
2010 – 2019
- 2018
- [j2]Rajesh Kumar Pathak, Ayushi Gupta, Rohit Shukla, Mamta Baunthiyal:
Identification of new drug-like compounds from millets as Xanthine oxidoreductase inhibitors for treatment of Hyperuricemia: A molecular docking and simulation study. Comput. Biol. Chem. 76: 32-41 (2018) - 2017
- [c3]Rohit Shukla, Erik Jorgensen, Mikko H. Lipasti:
Evaluating hopfield-network-based linear solvers for hardware constrained neural substrates. IJCNN 2017: 3938-3945 - 2015
- [c2]Rohit Shukla, Mikko H. Lipasti:
A self-learning map-seeking circuit for visual object recognition. IJCNN 2015: 1-8 - 2014
- [j1]Rohit Shukla, Kailash Chandra Ray:
Low Latency Hybrid CORDIC Algorithm. IEEE Trans. Computers 63(12): 3066-3078 (2014) - [c1]Parmod Kumar, Faisal Mahmood, Dhanya Menoth Mohan, Ken Wong, Abhishek Agrawal, Mohamed Elgendi, Rohit Shukla, Justin Dauwels, Alice H. D. Chan:
On the effect of subliminal priming on subjective perception of images: A machine learning approach. EMBC 2014: 5438-5441
Coauthor Index
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