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

533 citations

Showing 2020Show all

12 papers · 1 filter

cs.SI2020★ 1 cited

Comparing Suicide Risk Insights derived from Clinical and Social Media data

Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan +2

Suicide is the 10th leading cause of death in the US and the 2nd leading cause of death among teenagers. Clinical and psychosocial factors contribute to suicide risk (SRFs), althou…

cs.CV2020★ 13 cited

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays

Yan Han, Chongyan Chen, Liyan Tang +7

Chest X-ray becomes one of the most common medical diagnoses due to its noninvasiveness. The number of chest X-ray images has skyrocketed, but reading chest X-rays still have been…

stat.ME2020

Nonparametric causal mediation analysis for stochastic interventional (in)direct effects

Nima S. Hejazi, Kara E. Rudolph, Mark J. van der Laan +1

Causal mediation analysis has historically been limited in two important ways: (i) a focus has traditionally been placed on binary treatments and static interventions, and (ii) dir…

eess.IV2020★ 15 cited

COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature

Yifan Peng, Yu-Xing Tang, Sungwon Lee +3

The latest threat to global health is the COVID-19 outbreak. Although there exist large datasets of chest X-rays (CXR) and computed tomography (CT) scans, few COVID-19 image collec…

stat.ML2020★ 17 cited

Adversarial Infidelity Learning for Model Interpretation

Jian Liang, Bing Bai, Yuren Cao +2

Model interpretation is essential in data mining and knowledge discovery. It can help understand the intrinsic model working mechanism and check if the model has undesired characte…

eess.IV2020★ 55 cited

Advance Warning Methodologies for COVID-19 using Chest X-Ray Images

Mete Ahishali, Aysen Degerli, Mehmet Yamac +6

Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its first known detection in December 2019. As a result, accurate and reliable advance warning…