Följ
Pierre Baldi
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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
27182000
Autoencoders, unsupervised learning, and deep architectures
P Baldi
Proceedings of ICML workshop on unsupervised and transfer learning, 37-49, 2012
23382012
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
21942001
Neural networks and principal component analysis: Learning from examples without local minima
P Baldi, K Hornik
Neural networks 2 (1), 53-58, 1989
21601989
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
15712014
Bayesian surprise attracts human attention
L Itti, P Baldi
Vision research 49 (10), 1295-1306, 2009
13772009
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
12642018
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
11972005
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
11402006
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
10132002
Understanding dropout
P Baldi, PJ Sadowski
Advances in neural information processing systems 26, 2013
9942013
Mitochondrial mutations in cancer
M Brandon, P Baldi, DC Wallace
Oncogene 25 (34), 4647-4662, 2006
9932006
Bayesian surprise attracts human attention
L Itti, P Baldi
Advances in neural information processing systems 18, 2005
8162005
Learning activation functions to improve deep neural networks
F Agostinelli
arXiv preprint arXiv:1412.6830, 2014
7322014
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
7272013
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
7182007
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
6982018
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
6981999
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
6941994
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Artiklar 1–20