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Artificial Intelligence|May 8, 2018
Learning in the Machine: Random Backpropagation and the Deep Learning ChannelPierre Baldi, Peter Sadowski, Zhiqin LuJournal of Chemical Information and Modeling|October 29, 2013
ReactionMap: an efficient atom-mapping algorithm for chemical reactionsDavid Fooshee, Alessio Andronico, Pierre BaldiProteins|December 2, 2005
Large-scale prediction of disulphide bridges using kernel methods, two-dimensional recursive neural networks, and weighted graph matchingJianlin Cheng, Hiroto Saigo, Pierre BaldiMolecular Informatics|July 29, 2016
Tree and Hashing Data Structures to Speed up Chemical Searches: Analysis and ExperimentsRamzi Nasr, Thomas Kristensen, Pierre BaldiProteins|December 24, 2005
Prediction of protein stability changes for single-site mutations using support vector machinesJianlin Cheng, Arlo Randall, Pierre BaldiNeural Networks : the Official Journal of the International Neural Network Society|September 23, 2017
Learning in the machine: The symmetries of the deep learning channelPierre Baldi, Peter Sadowski, Zhiqin LuJournal of Imaging|May 27, 2022
Weakly Supervised Polyp Segmentation in Colonoscopy Images Using Deep Neural NetworksSiwei Chen, Gregor Urban, Pierre BaldiMethods in Molecular Biology (Clifton, N.J.)|May 24, 2022
Bioinformatics and Systems Biology of Circadian Rhythms: BIO_CYCLE and CircadiOmicsMuntaha Samad, Forest Agostinelli, Pierre BaldiBehavior Analysis in Practice|October 13, 2017
A Program Evaluation of Home and Center-Based Treatment for Autism Spectrum DisorderDennis R Dixon, Claire O Burns, Doreen Granpeesheh, et al.International Journal of Medical Informatics|August 25, 2019
Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learningElizabeth Stevens, Dennis R Dixon, Marlena N Novack, et al.Pageof 28