Communications of the ACM

The TRIPS Project

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...
IEEE

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.
IEEE

FPGA-Par: An Efficient Algorithm for Elegant Partitioning in Multi-FPGA Systems

Abstract: This work introduces FPGA-Par, an efficient graph partitioning algorithm for multi-FPGA systems. FPGA-Par utilizes an iterative balanced partitioning and supernodes transferring algorithm ...
Journal of Medical Internet Research

Optimizing Initial Vancomycin Dosing in Hospitalized Patients Using Machine Learning Approach for Enhanced Therapeutic Outcomes: Algorithm Development and Validation Study

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...