1 citations · 1 across the 4 of their papers we have counts for
6 papers
Accelerating Point-Based Value Iteration via Active Sampling of Belief Points and Gaussian Process Regression
Siqiong Zhou, Ashif S. Iquebal, Esma S. Gel
Partially Observable Markov Decision Processes (POMDPs) are fundamental to decision-making under uncertainty. We introduce a novel scalable approach to accelerate upper bound estim…
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling
Upala Junaida Islam, Kamran Paynabar, George Runger +1
Active learning provides a framework to adaptively query the most informative experiments towards learning an unknown black-box function. Various approaches of active learning have…
Directionally Dependent Multi-View Clustering Using Copula Model
Kahkashan Afrin, Ashif S. Iquebal, Mostafa Karimi +3
In recent biomedical scientific problems, it is a fundamental issue to integratively cluster a set of objects from multiple sources of datasets. Such problems are mostly encountere…
Consistent estimation of the max-flow problem: Towards unsupervised image segmentation
Ashif Sikandar Iquebal, Satish Bukkapatnam
Advances in the image-based diagnostics of complex biological and manufacturing processes have brought unsupervised image segmentation to the forefront of enabling automated, on th…
Change detection in complex dynamical systems using intrinsic phase and amplitude synchronization
Ashif Sikandar Iquebal, Satish Bukkapatnam, Arun Srinivasa
We present an approach for the detection of sharp change points (short-lived and persistent) in nonlinear and nonstationary dynamic systems under high levels of noise by tracking t…
Surface plastic flow in polishing of rough surfaces
Ashif S. Iquebal, Dinakar Sagapuram, Satish Bukkapatnam
We report electron microscopy observations of the surface plastic flow in polishing of rough metal surfaces with a controlled spherical asperity structure. We show that asperity--a…