Takip et
Nima Hatami
Nima Hatami
CREATIS, INSA Lyon & University of Lyon
creatis.insa-lyon.fr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
4862017
Classifiers with a reject option for early time-series classification
N Hatami, C Chira
Computational Intelligence and Ensemble Learning (CIEL), 2013 IEEE Symposium …, 2013
762013
Magnetic Resonance Spectroscopy Quantification using Deep Learning
N Hatami, M Sdika, H Ratiney
MICCAI 2018, 2018
752018
Bag of recurrence patterns representation for time-series classification
N Hatami, Y Gavet, J Debayle
Pattern Analysis and Applications 22, 877-887, 2019
552019
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
422007
Thinned-ECOC ensemble based on sequential code shrinking
N Hatami
Expert Systems with Applications 39 (1), 936-947, 2012
332012
Error-Correcting Output Codes for Multi-Label Text Categorization
G Armano, C Chira, N Hatami
IIR, 26-37, 2012
262012
CNN-LSTM based multimodal MRI and clinical data fusion for predicting functional outcome in stroke patients
N Hatami, TH Cho, L Mechtouff, OF Eker, D Rousseau, C Frindel
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
212022
Automatic identification of retinal arteries and veins in fundus images using local binary patterns
N Hatami, M Goldbaum
arXiv preprint arXiv:1605.00763, 2016
212016
Deep multi-resolution dictionary learning for histopathology image analysis
N Hatami, M Bilal, N Rajpoot
arXiv preprint arXiv:2104.00669, 2021
162021
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
132008
A new gene selection method based on random subspace ensemble for microarray cancer classification
G Armano, C Chira, N Hatami
Pattern Recognition in Bioinformatics: 6th IAPR International Conference …, 2011
92011
Mixture of random prototype-based local experts
G Armano, N Hatami
Hybrid Artificial Intelligence Systems: 5th International Conference, HAIS …, 2010
92010
Some proposal for combining ensemble classifiers
N Hatami
PhD thesis, 2012
82012
Random prototype-based oracle for selection-fusion ensembles
G Armano, N Hatami
2010 20th International Conference on Pattern Recognition, 77-80, 2010
82010
A robust ensemble algorithm for ischemic stroke lesion segmentation: Generalizability and clinical utility beyond the isles challenge
E de la Rosa, M Reyes, SL Liew, A Hutton, R Wiest, J Kaesmacher, ...
arXiv preprint arXiv:2403.19425, 2024
62024
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
Accurate Retinal Artery and Vein Classification using Local Binary Patterns
MH Goldbaum, N Hatami
Investigative Ophthalmology and Visual Science 55 (5), 232, 2014
32014
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Makaleler 1–20