10 citations · 10 across the 7 of their papers we have counts for
7 papers
Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
Rahul Goswami, Shinjini Paul, Palash Ghosh +1
Accurate dengue forecasting is crucial for public health planning, but remains challenging because incidence series are often short, noisy, non-stationary, nonlinear, and often aff…
Deep Generative Transformers for Probabilistic Time Series and Spatiotemporal Forecasting
Rajdeep Pathak, Rahul Goswami, Madhurima Panja +2
Reliable uncertainty quantification is paramount for forecasting multivariate time series and spatiotemporal data. While Transformer architectures excel at sequence modeling, curre…
Optimal Adaptive SMART Designs with Binary Outcomes
Rik Ghosh, Bibhas Chakraborty, Inbal Nahum-Shani +2
In a sequential multiple-assignment randomized trial (SMART), a sequence of treatments is given to a patient over multiple stages. In each stage, randomization may be done to alloc…
A Penalized Shared-parameter Algorithm for Estimating Optimal Dynamic Treatment Regimens
Palash Ghosh, Xinru Wang, Trikay Nalamada +3
A dynamic treatment regimen (DTR) is a set of decision rules to personalize treatments for an individual using their medical history. The Q-learning-based Q-shared algorithm has be…
Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network
Rohit Kumar Jain, Prasen Kumar Sharma, Sibaji Gaj +2
Knee Osteoarthritis (OA) is a destructive joint disease identified by joint stiffness, pain, and functional disability concerning millions of lives across the globe. It is generall…
A Novel Approach To Assess Dynamic Treatment Regimes Embedded In A Smart With An Ordinal Outcome
Palash Ghosh, Xiaoxi Yan, Bibhas Chakraborty
Sequential multiple assignment randomized trials (SMARTs) are used to construct data-driven optimal intervention strategies for subjects based on their intervention and covariate h…
Non-Inferiority and Equivalence Tests in A Sequential Multiple-Assignment Randomized Trial (SMART)
Palash Ghosh, Inbal Nahum-Shani, Bonnie Spring +1
Adaptive interventions (AIs) are increasingly becoming popular in medical and behavioral sciences. An AI is a sequence of individualized intervention options that specify for whom…