86 citations · 433 across the 35 of their papers we have counts for
7 papers · 1 filter
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
Ehsan Hajiramezanali, Siamak Zamani Dadaneh, Alireza Karbalayghareh +2
Precision medicine aims for personalized prognosis and therapeutics by utilizing recent genome-scale high-throughput profiling techniques, including next-generation sequencing (NGS…
Multi-Objective Bayesian Materials Discovery: Application on the Discovery of Precipitation Strengthened NiTi Shape Memory Alloys through Micromechanical Modeling
Alexandros Solomou, Guang Zhao, Shahin Boluki +5
In this study, a framework for the multi-objective materials discovery based on Bayesian approaches is developed. The capabilities of the framework are demonstrated on an example c…
Safe Active Feature Selection for Sparse Learning
Shaogang Ren, Jianhua Z. Huang, Shuai Huang +1
We present safe active incremental feature selection~(SAIF) to scale up the computation of LASSO solutions. SAIF does not require a solution from a heavier penalty parameter as in…
Experimental Design via Generalized Mean Objective Cost of Uncertainty
Shahin Boluki, Xiaoning Qian, Edward R. Dougherty
The mean objective cost of uncertainty (MOCU) quantifies the performance cost of using an operator that is optimal across an uncertainty class of systems as opposed to using an ope…
Differential Expression Analysis of Dynamical Sequencing Count Data with a Gamma Markov Chain
Ehsan Hajiramezanali, Siamak Zamani Dadaneh, Paul de Figueiredo +3
Next-generation sequencing (NGS) to profile temporal changes in living systems is gaining more attention for deriving better insights into the underlying biological mechanisms comp…
Autonomous Efficient Experiment Design for Materials Discovery with Bayesian Model Averaging
Anjana Talapatra, Shahin Boluki, Thien Duong +3
The accelerated exploration of the materials space in order to identify configurations with optimal properties is an ongoing challenge. Current paradigms are typically centered aro…