activity
20182022
most citedComputing Research for the Climate Crisis

1 citations · 2 across the 5 of their papers we have counts for

collaborators

11 papers

cs.DC2022

Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing

Ilkay Altintas, Ismael Perez, Dmitry Mishin +8

Influenced by the advances in data and computing, the scientific practice increasingly involves machine learning and artificial intelligence driven methods which requires specializ…

cs.CY20211 cited

Computing Research for the Climate Crisis

Nadya Bliss, Elizabeth Bradley, Claire Monteleoni

Climate change is an existential threat to the United States and the world. Inevitably, computing will play a key role in mitigation, adaptation, and resilience in response to this…

cs.DC2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +55

Scientific workflows are a cornerstone of modern scientific computing, and they have underpinned some of the most significant discoveries of the last decade. Many of these workflow…

cs.DC20211 cited

Workflows Community Summit: Bringing the Scientific Workflows Community Together

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard +42

Scientific workflows have been used almost universally across scientific domains, and have underpinned some of the most significant discoveries of the past several decades. Many of…

eess.IV2019

Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning

Bosung Seo, Daniel Mariano, John Beckfield +6

The goal of this project is to use magnetic resonance imaging (MRI) data to provide an end-to-end analytics pipeline for left and right ventricle (LV and RV) segmentation. Another…

cs.DC2019

Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure

Ilkay Altintas, Kyle Marcus, Isaac Nealey +7

The advances in data, computing and networking over the last two decades led to a shift in many application domains that includes machine learning on big data as a part of the scie…