Tony Martinez

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	Toate	Din 2020
Referințe bibliografice	10332	3412
h-index	40	25
i10-index	101	45

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Dan VenturaProfessor of Computer Science, Brigham Young UniversityAdresă de e-mail confirmată pe cs.byu.edu
Michael R SmithSandia National LaboratoriesAdresă de e-mail confirmată pe sandia.gov
Michael S. GashlerUniversity of ArkansasAdresă de e-mail confirmată pe uark.edu
James L. CarrollLos Alamos National LabAdresă de e-mail confirmată pe lanl.gov
Kevin SeppiProfessor of Computer Science, Brigham Young UniversityAdresă de e-mail confirmată pe cs.byu.edu
Richard G M MorrisUniversity of EdinburghAdresă de e-mail confirmată pe ed.ac.uk
Virginia FranciscoTenured Professor of Computer Science, University Complutense of MadridAdresă de e-mail confirmată pe fdi.ucm.es
Pablo GervásCatedrático de UniversidadAdresă de e-mail confirmată pe ucm.es
Lee JensenBrigham Young UniversityAdresă de e-mail confirmată pe cs.byu.edu
Richard G. MorrisEMBL-Australia & UNSW, SydneyAdresă de e-mail confirmată pe unsw.edu.au
Mark ClementProfessor of Computer Science, Brigham Young UniversityAdresă de e-mail confirmată pe cs.byu.edu
Michael SmithProfesssor Emeritus of Electrical and Software Engineering, University of CalgaryAdresă de e-mail confirmată pe ucalgary.ca

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Tony Martinez

Professor of Computer Science, Brigham Young University

Adresă de e-mail confirmată pe cs.byu.edu - Pagina de pornire

Machine Learning Neural Networks Massively Parallel Processing


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Improved heterogeneous distance functions DR Wilson, TR Martinez Journal of artificial intelligence research 6, 1-34, 1997	1940	1997
Reduction techniques for instance-based learning algorithms DR Wilson, TR Martinez Machine learning 38, 257-286, 2000	1729	2000
The general inefficiency of batch training for gradient descent learning DR Wilson, TR Martinez Neural networks 16 (10), 1429-1451, 2003	767	2003
An instance level analysis of data complexity MR Smith, T Martinez, C Giraud-Carrier Machine learning 95, 225-256, 2014	492	2014
Quantum Associative Memory D Ventura, TR Martinez Neurocomputers: Development and Applications, 34-53, 2002	378	2002
Instance pruning techniques DR Wilson, TR Martinez ICML 97 (1997), 400-411, 1997	322	1997
Distribution-balanced stratified cross-validation for accuracy estimation X Zeng, TR Martinez Journal of Experimental & Theoretical Artificial Intelligence 12 (1), 1-12, 2000	273	2000
The need for small learning rates on large problems DR Wilson, TR Martinez IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001	234	2001
Decision tree ensemble: Small heterogeneous is better than large homogeneous M Gashler, C Giraud-Carrier, T Martinez 2008 Seventh international conference on machine learning and applications …, 2008	213	2008
Document image binarization with fully convolutional neural networks C Tensmeyer, T Martinez 2017 14th IAPR international conference on document analysis and recognition …, 2017	191	2017
Improving classification accuracy by identifying and removing instances that should be misclassified MR Smith, T Martinez The 2011 international joint conference on neural networks, 2690-2697, 2011	181	2011
Turning Bayesian model averaging into Bayesian model combination K Monteith, JL Carroll, K Seppi, T Martinez The 2011 international joint conference on neural networks, 2657-2663, 2011	137	2011
Deep splitting and merging for table structure decomposition C Tensmeyer, VI Morariu, B Price, S Cohen, T Martinez 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019	116	2019
Initializing the amplitude distribution of a quantum state D Ventura, T Martinez Foundations of Physics Letters 12 (6), 547-559, 1999	111	1999
An integrated instance‐based learning algorithm DR Wilson, TR Martinez Computational Intelligence 16 (1), 1-28, 2000	96	2000
Analysis of convolutional neural networks for document image classification C Tensmeyer, T Martinez 2017 14th IAPR international conference on document analysis and recognition …, 2017	95	2017
Quantum associative memory with exponential capacity D Ventura, T Martinez 1998 IEEE International Joint Conference on Neural Networks Proceedings …, 1998	91	1998
An empirical comparison of discretization methods D Ventura, TR Martinez Proceedings of the Tenth International Symposium on Computer and Information …, 1995	84	1995
Automatic Generation of Music for Inducing Emotive Response. K Monteith, TR Martinez, D Ventura ICCC, 140-149, 2010	83	2010
Improved backpropagation learning in neural networks with windowed momentum E Istook, T Martinez International journal of neural systems 12 (03n04), 303-318, 2002	82	2002

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