Nima Hatami
Title
Cited by
Cited by
Year
Classification of Time-Series Images Using Deep Convolutional Neural Networks
N Hatami, Y Gavet, J Debayle
10th International Conference on Machine Vision (ICMV 2017), 2017
1562017
Classifiers with a reject option for early time-series classification
N Hatami, C Chira
Computational Intelligence and Ensemble Learning (CIEL), 2013 IEEE Symposium …, 2013
402013
Combining multiple classifiers: diversify with boosting and combining by stacking
N Hatami, R Ebrahimpour
International Journal of Computer Science and Network Security 7 (1), 127-131, 2007
332007
Thinned-ECOC ensemble based on sequential code shrinking
N Hatami
Expert Systems with Applications 39 (1), 936-947, 2012
292012
Error-Correcting Output Codes for Multi-Label Text Categorization
G Armano, C Chira, N Hatami
IIR, 26-37, 2012
212012
Bag of recurrence patterns representation for time-series classification
N Hatami, Y Gavet, J Debayle
Pattern Analysis and Applications 22 (3), 877-887, 2019
182019
Magnetic Resonance Spectroscopy Quantification using Deep Learning
N Hatami, M Sdika, H Ratiney
MICCAI 2018, 2018
132018
Investigating the relationship between macroeconomic variables and stock index returns in cash: Tehran Stock Exchange
H SAJADI, H Farazmand, H ALISUFI
JOURNAL OF MACROECONOMICS (JOURNAL OF ECONOMICS SCIENCES) 10 (239), 123-150, 2010
132010
Automatic identification of retinal arteries and veins in fundus images using local binary patterns
N Hatami, M Goldbaum
arXiv preprint arXiv:1605.00763, 2016
112016
A new gene selection method based on random subspace ensemble for microarray cancer classification
G Armano, C Chira, N Hatami
IAPR International Conference on Pattern Recognition in Bioinformatics, 191-201, 2011
112011
Ecoc-based training of neural networks for face recognition
N Hatami, R Ebrahimpour, R Ghaderi
2008 IEEE conference on cybernetics and intelligent systems, 450-454, 2008
102008
Some proposal for combining ensemble classifiers
N Hatami
PhD thesis, 2012
72012
Random prototype-based oracle for selection-fusion ensembles
G Armano, N Hatami
2010 20th International Conference on Pattern Recognition, 77-80, 2010
72010
Mixture of random prototype-based local experts
G Armano, N Hatami
International Conference on Hybrid Artificial Intelligence Systems, 548-556, 2010
62010
Diverse accurate feature selection for microarray cancer diagnosis
N Hatami, C Chira
Intelligent Data Analysis 17 (4), 697-716, 2013
42013
Ensemble of binary learners for reliable text categorization with a reject option
G Armano, C Chira, N Hatami
International Conference on Hybrid Artificial Intelligence Systems, 137-146, 2012
42012
Thinned ECOC decomposition for gene expression based cancer classification
N Hatami
2008 Eighth International Conference on Intelligent Systems Design and …, 2008
42008
Error correcting output codes using genetic algorithm-based decoding
N Hatami, S Seyedtabaii
2008 Fourth International Conference on Networked Computing and Advanced …, 2008
32008
Accurate Retinal Artery and Vein Classification using Local Binary Patterns
MH Goldbaum, N Hatami
Investigative Ophthalmology and Visual Science 55 (5), 232, 2014
22014
A Tree Classification Method for Identifying Normal Eyes, Non-Progressing Glaucoma Eyes, and Progressing Glaucoma Eyes from Spectral Domain OCT RNFL Thickness Measurements
M Goldbaum, S Yousefi, A Belghith, L Zangwill, F Medeiros, R Weinreb, ...
Investigative Ophthalmology and Visual Science 54 (6), 4837, 2013
12013
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