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Vikas Deep
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2020 – today
- 2024
- [c3]Vikas Deep, Achal Bassamboo, Sandeep K. Juneja:
Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing. ICML 2024 - 2023
- [j3]Saket Kumar, Rajkumar Viral, Vikas Deep, Purushottam Sharma, Manoj Kumar, Mufti Mahmud, Thompson Stephan:
Forecasting major impacts of COVID-19 pandemic on country-driven sectors: challenges, lessons, and future roadmap. Pers. Ubiquitous Comput. 27(3): 807-830 (2023) - 2022
- [c2]Vikas Deep, Achal Bassamboo, Sandeep Juneja, Assaf Zeevi:
Exact Optimal Fixed Width Confidence Interval Estimation for the Mean. WSC 2022: 713-723 - 2021
- [j2]Akarsh Aggarwal, Mohammed Alshehri, Manoj Kumar, Purushottam Sharma, Osama Alfarraj, Vikas Deep:
Principal component analysis, hidden Markov model, and artificial neural network inspired techniques to recognize faces. Concurr. Comput. Pract. Exp. 33(9) (2021) - 2020
- [j1]Manoj Kumar, Mohammed Alshehri, Rayed AlGhamdi, Purushottam Sharma, Vikas Deep:
A DE-ANN Inspired Skin Cancer Detection Approach Using Fuzzy C-Means Clustering. Mob. Networks Appl. 25(4): 1319-1329 (2020) - [i1]Achal Bassamboo, Vikas Deep, Sandeep Juneja, Assaf Zeevi:
Discriminative Learning via Adaptive Questioning. CoRR abs/2004.05442 (2020)
2010 – 2019
- 2014
- [c1]Sahil Kumar Aggarwal, Vikas Deep, Robin Singh:
Speculation of CMMI in agile methodology. ICACCI 2014: 226-230
Coauthor Index
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last updated on 2024-09-04 01:22 CEST by the dblp team
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