output
20002025
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations

Showing 2021Show all

8 papers · 1 filter

q-bio.OT2021★ 4 cited

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs

Lauren M. Sanders, Jason H. Yang, Ryan T. Scott +53

Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengin…

q-bio.OT2021★ 8 cited

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders +53

Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in d…

cs.LG2021★ 12 cited

RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification

Ajay Jaiswal, Liyan Tang, Meheli Ghosh +3

Radiology reports are unstructured and contain the imaging findings and corresponding diagnoses transcribed by radiologists which include clinical facts and negated and/or uncertai…

cs.LG2021★ 173 cited

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation

Alexandros Karargyris, Renato Umeton, Micah J. Sheller +39

Medical AI has tremendous potential to advance healthcare by supporting the evidence-based practice of medicine, personalizing patient treatment, reducing costs, and improving prov…

cs.CL2021★ 38 cited

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models

Zehao Yu, Xi Yang, Chong Dang +8

Social and behavioral determinants of health (SBDoH) have important roles in shaping people's health. In clinical research studies, especially comparative effectiveness studies, fa…

stat.ML2021★ 106 cited

S-LIME: Stabilized-LIME for Model Explanation

Zhengze Zhou, Giles Hooker, Fei Wang

An increasing number of machine learning models have been deployed in domains with high stakes such as finance and healthcare. Despite their superior performances, many models are…