Pierre Baldi

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Søren BrunakProfessor of Disease Systems Biology, University of CopenhagenVerified email at cpr.ku.dk
Paolo Sassone-CorsiProfessor of Biological Chemistry, University of California, IrvineVerified email at uci.edu
Peter SadowskiAssociate Professor, University of Hawai’i at MānoaVerified email at hawaii.edu
Cristina Videira LopesInformation and Computer Sciences, University of California, IrvineVerified email at ics.uci.edu
Yves ChauvinHead of Climate Intelligence, TensorielVerified email at tensoriel.com
Gianluca PollastriAssociate Professor, University College DublinVerified email at ucd.ie
Matthew A KayalaVerified email at google.com
Christophe MagnanNeoGenomics LaboratoriesVerified email at neogenomics.com
Siwei ChenUniversity of California, IrvineVerified email at uci.edu
Philip FelgnerProfessor of Biophysics and Medicine, University of California, IrvineVerified email at uci.edu
Jianlin ChengCurators' Distinguished Professor and Thompson Distinguished Professor, University of MissouriVerified email at missouri.edu
Stephen McAleerOpenAIVerified email at openai.com
S Joshua SwamidassAssociate Professor of Pathology and Immunology, Washington University in St. LouisVerified email at wustl.edu
Kristin Eckel MahanUniversity of Texas Health Science Center at HoustonVerified email at uth.tmc.edu
Vishal R PatelUniversity of California-IrvineVerified email at uci.edu
Erik LinsteadProfessor, Fowler School of Engineering, Chapman UniversityVerified email at chapman.edu
Laurent IttiProfessor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
Nicholas CegliaMemorial Sloan Kettering Cancer CenterVerified email at mskcc.org
Gregor UrbanGoogleVerified email at google.com
Forest AgostinelliAssistant Professor at the University of South CarolinaVerified email at cse.sc.edu

Pierre Baldi

Professor, University of California, Irvine

Verified email at ics.uci.edu - Homepage

Artificial Intelligence Deep Learning Bioinformatics Physics Mathematics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2701	2000
Autoencoders, unsupervised learning, and deep architectures P Baldi Proceedings of ICML workshop on unsupervised and transfer learning, 37-49, 2012	2288	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	2193	2001
Neural networks and principal component analysis: Learning from examples without local minima P Baldi, K Hornik Neural networks 2 (1), 53-58, 1989	2139	1989
Bioinformatics--The Machine Learning Approach P Baldi, S Brunak MIT Press, 0	2124
Searching for exotic particles in high-energy physics with deep learning P Baldi, P Sadowski, D Whiteson Nature communications 5 (1), 4308, 2014	1540	2014
Bayesian surprise attracts human attention L Itti, P Baldi Vision research 49 (10), 1295-1306, 2009	1357	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	1204	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	1186	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	1117	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	1006	2002
Mitochondrial mutations in cancer M Brandon, P Baldi, DC Wallace Oncogene 25 (34), 4647-4662, 2006	988	2006
Understanding dropout P Baldi, PJ Sadowski Advances in neural information processing systems 26, 2013	965	2013
Bayesian surprise attracts human attention L Itti, P Baldi Advances in neural information processing systems 18, 2005	814	2005
Learning activation functions to improve deep neural networks F Agostinelli arXiv preprint arXiv:1412.6830, 2014	724	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	716	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	710	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	692	1999
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	692	1994
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	679	2018

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