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Journal of Chemical Information and Modeling|September 18, 2012
ReactionPredictor: prediction of complex chemical reactions at the mechanistic level using machine learningMatthew A Kayala, Pierre BaldiGlobal Cardiology Science & Practice|March 23, 2018
Remote sensing observation of annual dust cycles and possible causality of Kawasaki disease outbreaks in JapanHesham El-Askary, Nick LaHaye, Erik Linstead, et al.Applied Sciences (Basel, Switzerland)|March 5, 2021
ML-MEDIC: A Preliminary Study of an Interactive Visual Analysis Tool Facilitating Clinical Applications of Machine Learning for Precision MedicineLaura Stevens, David Kao, Jennifer Hall, et al.Neural Networks : the Official Journal of the International Neural Network Society|March 20, 2021
SPLASH: Learnable activation functions for improving accuracy and adversarial robustnessMohammadamin Tavakoli, Forest Agostinelli, Pierre BaldiBioinformatics (Oxford, England)|February 28, 2014
Incorporating post-translational modifications and unnatural amino acids into high-throughput modeling of protein structuresKen Nagata, Arlo Randall, Pierre BaldiProteins|November 11, 2011
SIDEpro: a novel machine learning approach for the fast and accurate prediction of side-chain conformationsKen Nagata, Arlo Randall, Pierre BaldiBioinformatics (Oxford, England)|May 23, 2002
Distribution patterns of over-represented k-mers in non-coding yeast DNASteven Hampson, Dennis Kibler, Pierre BaldiJournal of Chemical Information and Modeling|June 26, 2013
Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like moleculesAlessandro Lusci, Gianluca Pollastri, Pierre BaldiBioinformatics (Oxford, England)|November 20, 2008
MotifMap: a human genome-wide map of candidate regulatory motif sitesXiaohui Xie, Paul Rigor, Pierre BaldiJournal of Chemical Information and Modeling|January 11, 2018
Inner and Outer Recursive Neural Networks for Chemoinformatics ApplicationsGregor Urban, Niranjan Subrahmanya, Pierre BaldiPageof 28