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Pierre Baldi

Showing results (91-100 of 260) with videos related to

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Anesthesiology|April 18, 2018
Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital MortalityChristine K Lee, Ira Hofer, Eilon Gabel, et al.
Bioinformatics (Oxford, England)|August 21, 2016
What time is it? Deep learning approaches for circadian rhythmsForest Agostinelli, Nicholas Ceglia, Babak Shahbaba, et al.
Journal of Chemical Information and Modeling|October 31, 2007
Lossless compression of chemical fingerprints using integer entropy codes improves storage and retrievalPierre Baldi, Ryan W Benz, Daniel S Hirschberg, et al.
Journal of Vision|November 14, 2007
A bottom-up model of spatial attention predicts human error patterns in rapid scene recognitionWolfgang Einhäuser, T Nathan Mundhenk, Pierre Baldi, et al.
Bioinformatics (Oxford, England)|September 22, 2005
ChemDB: a public database of small molecules and related chemoinformatics resourcesJonathan Chen, S Joshua Swamidass, Yimeng Dou, et al.
Bioinformatics (Oxford, England)|June 17, 2016
What time is it? Deep learning approaches for circadian rhythmsForest Agostinelli, Nicholas Ceglia, Babak Shahbaba, et al.
Anesthesia and Analgesia|April 19, 2024
Clinical Knowledge and Reasoning Abilities of AI Large Language Models in Anesthesiology: A Comparative Study on the American Board of Anesthesiology ExaminationMirana C Angel, Joseph B Rinehart, Maxime P Cannesson, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2023
Clinical Knowledge and Reasoning Abilities of AI Large Language Models in Anesthesiology: A Comparative Study on the ABA ExamMirana C Angel, Joseph B Rinehart, Maxime P Canneson, et al.
International Journal of Molecular Sciences|May 22, 2019
Gap Junction Channels of Innexins and Connexins: Relations and Computational PerspectivesAlejandro Sánchez, Carlos Castro, Dora-Luz Flores, et al.
NPJ Digital Medicine|January 9, 2021
Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortalityChristine K Lee, Muntaha Samad, Ira Hofer, et al.
Pageof 26

Showing results (91-100 of 260) with videos related to

Sort By:
Pageof 26
Anesthesiology|April 18, 2018
Development and Validation of a Deep Neural Network Model for Prediction of Postoperative In-hospital MortalityChristine K Lee, Ira Hofer, Eilon Gabel, et al.
Bioinformatics (Oxford, England)|August 21, 2016
What time is it? Deep learning approaches for circadian rhythmsForest Agostinelli, Nicholas Ceglia, Babak Shahbaba, et al.
Journal of Chemical Information and Modeling|October 31, 2007
Lossless compression of chemical fingerprints using integer entropy codes improves storage and retrievalPierre Baldi, Ryan W Benz, Daniel S Hirschberg, et al.
Journal of Vision|November 14, 2007
A bottom-up model of spatial attention predicts human error patterns in rapid scene recognitionWolfgang Einhäuser, T Nathan Mundhenk, Pierre Baldi, et al.
Bioinformatics (Oxford, England)|September 22, 2005
ChemDB: a public database of small molecules and related chemoinformatics resourcesJonathan Chen, S Joshua Swamidass, Yimeng Dou, et al.
Bioinformatics (Oxford, England)|June 17, 2016
What time is it? Deep learning approaches for circadian rhythmsForest Agostinelli, Nicholas Ceglia, Babak Shahbaba, et al.
Anesthesia and Analgesia|April 19, 2024
Clinical Knowledge and Reasoning Abilities of AI Large Language Models in Anesthesiology: A Comparative Study on the American Board of Anesthesiology ExaminationMirana C Angel, Joseph B Rinehart, Maxime P Cannesson, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2023
Clinical Knowledge and Reasoning Abilities of AI Large Language Models in Anesthesiology: A Comparative Study on the ABA ExamMirana C Angel, Joseph B Rinehart, Maxime P Canneson, et al.
International Journal of Molecular Sciences|May 22, 2019
Gap Junction Channels of Innexins and Connexins: Relations and Computational PerspectivesAlejandro Sánchez, Carlos Castro, Dora-Luz Flores, et al.
NPJ Digital Medicine|January 9, 2021
Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortalityChristine K Lee, Muntaha Samad, Ira Hofer, et al.
Pageof 26