Search research articles
Contact Us
Filters
Showing results (1-10 of 29) with videos related to
Page
of 3
Sort By:
Bioinformatics Advances
|
July 16, 2024
Optimal linear ensemble of binary classifiers
Mehmet Eren Ahsen, Robert Vogel, Gustavo Stolovitzky
Plos One
|
September 10, 2025
Investigating the role of AI explanations in lay individuals' comprehension of radiology reports: A metacognition lens
Yegin Genc, Mehmet Eren Ahsen, Zhan Zhang
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
January 7, 2020
R/PY-SUMMA: An R/Python Package for Unsupervised Ensemble Learning for Binary Classification Problems in Bioinformatics
Mehmet Eren Ahsen, Robert Vogel, Gustavo A Stolovitzky
Iscience
|
February 23, 2024
Modeling combination therapies in patient cohorts and cell cultures using correlated drug action
Adith S Arun, Sung-Cheol Kim, Mehmet Eren Ahsen, et al.
Nature Communications
|
March 7, 2025
Economics of AI and human task sharing for decision making in screening mammography
Mehmet Eren Ahsen, Mehmet U S Ayvaci, Radha Mookerjee, et al.
Journal of Medical Systems
|
May 5, 2021
Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems
Zhan Zhang, Yegin Genc, Dakuo Wang, et al.
Production and Operations Management
|
April 30, 2019
Preference-Sensitive Management of Post-Mammography Decisions in Breast Cancer Diagnosis
Mehmet Ulvi Saygi Ayvaci, Oguzhan Alagoz, Mehmet Eren Ahsen, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
August 20, 2021
The Fermi-Dirac distribution provides a calibrated probabilistic output for binary classifiers
Sung-Cheol Kim, Adith S Arun, Mehmet Eren Ahsen, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
February 27, 2026
Leveraging Generative AI for Interpretable Clinical Decision Making Through Causal Graphs
Mehmet Eren Ahsen, Rand Kittani, Travis Gerke, et al.
IEEE Transactions on Molecular, Biological, and Multi-Scale Communications
|
December 14, 2020
Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer (Invited Paper)
Nitin Singh, Mehmet Eren Ahsen, Niharika Challapalli, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 29) with videos related to
Sort By:
Page
of 3
Bioinformatics Advances
|
July 16, 2024
Optimal linear ensemble of binary classifiers
Mehmet Eren Ahsen, Robert Vogel, Gustavo Stolovitzky
Plos One
|
September 10, 2025
Investigating the role of AI explanations in lay individuals' comprehension of radiology reports: A metacognition lens
Yegin Genc, Mehmet Eren Ahsen, Zhan Zhang
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|
January 7, 2020
R/PY-SUMMA: An R/Python Package for Unsupervised Ensemble Learning for Binary Classification Problems in Bioinformatics
Mehmet Eren Ahsen, Robert Vogel, Gustavo A Stolovitzky
Iscience
|
February 23, 2024
Modeling combination therapies in patient cohorts and cell cultures using correlated drug action
Adith S Arun, Sung-Cheol Kim, Mehmet Eren Ahsen, et al.
Nature Communications
|
March 7, 2025
Economics of AI and human task sharing for decision making in screening mammography
Mehmet Eren Ahsen, Mehmet U S Ayvaci, Radha Mookerjee, et al.
Journal of Medical Systems
|
May 5, 2021
Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems
Zhan Zhang, Yegin Genc, Dakuo Wang, et al.
Production and Operations Management
|
April 30, 2019
Preference-Sensitive Management of Post-Mammography Decisions in Breast Cancer Diagnosis
Mehmet Ulvi Saygi Ayvaci, Oguzhan Alagoz, Mehmet Eren Ahsen, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
August 20, 2021
The Fermi-Dirac distribution provides a calibrated probabilistic output for binary classifiers
Sung-Cheol Kim, Adith S Arun, Mehmet Eren Ahsen, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
February 27, 2026
Leveraging Generative AI for Interpretable Clinical Decision Making Through Causal Graphs
Mehmet Eren Ahsen, Rand Kittani, Travis Gerke, et al.
IEEE Transactions on Molecular, Biological, and Multi-Scale Communications
|
December 14, 2020
Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer (Invited Paper)
Nitin Singh, Mehmet Eren Ahsen, Niharika Challapalli, et al.
Page
of 3