Pierre Baldi

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Søren BrunakProfessor of Disease Systems Biology, University of CopenhagenDirección de correo verificada de cpr.ku.dk
Paolo Sassone-CorsiProfessor of Biological Chemistry, University of California, IrvineDirección de correo verificada de uci.edu
Peter SadowskiAssociate Professor, University of Hawai’i at MānoaDirección de correo verificada de hawaii.edu
Cristina Videira LopesInformation and Computer Sciences, University of California, IrvineDirección de correo verificada de ics.uci.edu
Yves ChauvinHead of Climate Intelligence, TensorielDirección de correo verificada de tensoriel.com
Gianluca PollastriAssociate Professor, University College DublinDirección de correo verificada de ucd.ie
Matthew A KayalaDirección de correo verificada de google.com
Christophe MagnanNeoGenomics LaboratoriesDirección de correo verificada de neogenomics.com
Siwei ChenUniversity of California, IrvineDirección de correo verificada de uci.edu
Philip FelgnerProfessor of Biophysics and Medicine, University of California, IrvineDirección de correo verificada de uci.edu
Stephen McAleerOpenAIDirección de correo verificada de openai.com
Jianlin ChengCurators' Distinguished Professor, University of MissouriDirección de correo verificada de missouri.edu
S Joshua SwamidassAssociate Professor of Pathology and Immunology, Washington University in St. LouisDirección de correo verificada de wustl.edu
Vishal R PatelUniversity of California-IrvineDirección de correo verificada de uci.edu
Kristin Eckel MahanUniversity of Texas Health Science Center at HoustonDirección de correo verificada de uth.tmc.edu
Erik LinsteadProfessor, Fowler School of Engineering, Chapman UniversityDirección de correo verificada de chapman.edu
Laurent IttiProfessor of Computer Science, University of Southern CaliforniaDirección de correo verificada de usc.edu
Nicholas CegliaMemorial Sloan Kettering Cancer CenterDirección de correo verificada de mskcc.org
Gregor UrbanGoogleDirección de correo verificada de google.com
Forest AgostinelliAssistant Professor at the University of South CarolinaDirección de correo verificada de cse.sc.edu

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Pierre Baldi

Professor, University of California, Irvine

Dirección de correo verificada de ics.uci.edu - Página principal

Artificial Intelligence Deep Learning Bioinformatics Physics Mathematics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Assessing the accuracy of prediction algorithms for classification: an overview P Baldi, S Brunak, Y Chauvin, CAF Andersen, H Nielsen Bioinformatics 16 (5), 412-424, 2000	2720	2000
Autoencoders, unsupervised learning, and deep architectures P Baldi Proceedings of ICML workshop on unsupervised and transfer learning, 37-49, 2012	2342	2012
A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes P Baldi, AD Long Bioinformatics 17 (6), 509-519, 2001	2194	2001
Neural networks and principal component analysis: Learning from examples without local minima P Baldi, K Hornik Neural networks 2 (1), 53-58, 1989	2164	1989
Bioinformatics--The Machine Learning Approach P Baldi, S Brunak MIT Press, 0	2133
Searching for exotic particles in high-energy physics with deep learning P Baldi, P Sadowski, D Whiteson Nature communications 5 (1), 4308, 2014	1572	2014
Bayesian surprise attracts human attention L Itti, P Baldi Vision research 49 (10), 1295-1306, 2009	1379	2009
Highly accurate machine fault diagnosis using deep transfer learning S Shao, S McAleer, R Yan, P Baldi IEEE Transactions on Industrial Informatics 15 (4), 2446-2455, 2018	1265	2018
SCRATCH: a protein structure and structural feature prediction server J Cheng, AZ Randall, MJ Sweredoski, P Baldi Nucleic acids research 33 (suppl_2), W72-W76, 2005	1196	2005
Prediction of protein stability changes for single‐site mutations using support vector machines J Cheng, A Randall, P Baldi Proteins: Structure, Function, and Bioinformatics 62 (4), 1125-1132, 2006	1139	2006
Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles G Pollastri, D Przybylski, B Rost, P Baldi Proteins: Structure, Function, and Bioinformatics 47 (2), 228-235, 2002	1013	2002
Understanding dropout P Baldi, PJ Sadowski Advances in neural information processing systems 26, 2013	993	2013
Mitochondrial mutations in cancer M Brandon, P Baldi, DC Wallace Oncogene 25 (34), 4647-4662, 2006	993	2006
Bayesian surprise attracts human attention L Itti, P Baldi Advances in neural information processing systems 18, 2005	816	2005
Learning activation functions to improve deep neural networks F Agostinelli arXiv preprint arXiv:1412.6830, 2014	732	2014
Reprogramming of the circadian clock by nutritional challenge KL Eckel-Mahan, VR Patel, S De Mateo, R Orozco-Solis, NJ Ceglia, ... Cell 155 (7), 1464-1478, 2013	728	2013
An enhanced MITOMAP with a global mtDNA mutational phylogeny E Ruiz-Pesini, MT Lott, V Procaccio, JC Poole, MC Brandon, D Mishmar, ... Nucleic acids research 35 (suppl_1), D823-D828, 2007	717	2007
Exploiting the past and the future in protein secondary structure prediction P Baldi, S Brunak, P Frasconi, G Soda, G Pollastri Bioinformatics 15 (11), 937-946, 1999	699	1999
Deep learning localizes and identifies polyps in real time with 96% accuracy in screening colonoscopy G Urban, P Tripathi, T Alkayali, M Mittal, F Jalali, W Karnes, P Baldi Gastroenterology 155 (4), 1069-1078. e8, 2018	698	2018
Hidden Markov models of biological primary sequence information. P Baldi, Y Chauvin, T Hunkapiller, MA McClure Proceedings of the National Academy of Sciences 91 (3), 1059-1063, 1994	694	1994

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