Nima Hatami
Nima Hatami
CREATIS, INSA Lyon & University of Lyon
Verified email at - Homepage
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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
Classifiers with a reject option for early time-series classification
N Hatami, C Chira
Computational Intelligence and Ensemble Learning (CIEL), 2013 IEEE Symposium …, 2013
Magnetic Resonance Spectroscopy Quantification using Deep Learning
N Hatami, M Sdika, H Ratiney
MICCAI 2018, 2018
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
Bag of recurrence patterns representation for time-series classification
N Hatami, Y Gavet, J Debayle
Pattern Analysis and Applications 22 (3), 877-887, 2019
Thinned-ECOC ensemble based on sequential code shrinking
N Hatami
Expert Systems with Applications 39 (1), 936-947, 2012
Error-Correcting Output Codes for Multi-Label Text Categorization
G Armano, C Chira, N Hatami
IIR, 26-37, 2012
Automatic identification of retinal arteries and veins in fundus images using local binary patterns
N Hatami, M Goldbaum
arXiv preprint arXiv:1605.00763, 2016
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
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
Some proposal for combining ensemble classifiers
N Hatami
PhD thesis, 2012
Mixture of random prototype-based local experts
G Armano, N Hatami
International conference on hybrid artificial intelligence systems, 548-556, 2010
Random prototype-based oracle for selection-fusion ensembles
G Armano, N Hatami
2010 20th International Conference on Pattern Recognition, 77-80, 2010
Deep multi-resolution dictionary learning for histopathology image analysis
N Hatami, M Bilal, N Rajpoot
arXiv preprint arXiv:2104.00669, 2021
Diverse accurate feature selection for microarray cancer diagnosis
N Hatami, C Chira
Intelligent Data Analysis 17 (4), 697-716, 2013
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
Thinned ECOC decomposition for gene expression based cancer classification
N Hatami
2008 Eighth International Conference on Intelligent Systems Design and …, 2008
Error correcting output codes using genetic algorithm-based decoding
N Hatami, S Seyedtabaii
2008 Fourth International Conference on Networked Computing and Advanced …, 2008
Accurate Retinal Artery and Vein Classification using Local Binary Patterns
MH Goldbaum, N Hatami
Investigative Ophthalmology and Visual Science 55 (5), 232, 2014
An improved mixture of experts model: Divide and conquer using random prototypes
G Armano, N Hatami
Ensembles in Machine Learning Applications, 217-231, 2011
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