6 citations · 11 across the 12 of their papers we have counts for
16 papers
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications
Luis G Riera, Matthew E. Carroll, Zhisheng Zhang +8
Reliable seed yield estimation is an indispensable step in plant breeding programs geared towards cultivar development in major row crops. The objective of this study is to develop…
Planning for Aerial Robot Teams for Wide-Area Biometric and Phenotypic Data Collection
Tianshuang Gao, Shashwata Mandal, Sourabh Bhattacharya
This work presents an efficient and implementable solution to the problem of joint task allocation and path planning in a multi-UAV platform deployed for biometric data collection…
Bayesian Appraisal of Random Series Convergence with Application to Climate Change
Sucharita Roy, Sourabh Bhattacharya
Roy and Bhattacharya (2020) provided Bayesian characterization of infinite series, and their most important application, namely, to the Dirichlet series characterizing the (in)famo…
On the Characterization of Saddle Point Equilibrium for Security Games with Additive Utility
HAmid Emadi, Sourabh Bhattacharya
In this work, we investigate a security game between an attacker and a defender, originally proposed in \cite{emadi2019security}. As is well known, the combinatorial nature of secu…
A Bayesian Multiple Testing Paradigm for Model Selection in Inverse Regression Problems
Debashis Chatterjee, Sourabh Bhattacharya
In this article, we propose a novel Bayesian multiple testing formulation for model and variable selection in inverse setups, judiciously embedding the idea of inverse reference di…
Convergence of Pseudo-Bayes Factors in Forward and Inverse Regression Problems
Debashis Chatterjee, Sourabh Bhattacharya
In the Bayesian literature on model comparison, Bayes factors play the leading role. In the classical statistical literature, model selection criteria are often devised used cross-…