| 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 | 486 | 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 | 76 | 2013 |
| Magnetic Resonance Spectroscopy Quantification using Deep Learning N Hatami, M Sdika, H Ratiney MICCAI 2018, 2018 | 75 | 2018 |
| Bag of recurrence patterns representation for time-series classification N Hatami, Y Gavet, J Debayle Pattern Analysis and Applications 22, 877-887, 2019 | 55 | 2019 |
| 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 | 42 | 2007 |
| Thinned-ECOC ensemble based on sequential code shrinking N Hatami Expert Systems with Applications 39 (1), 936-947, 2012 | 33 | 2012 |
| Error-Correcting Output Codes for Multi-Label Text Categorization G Armano, C Chira, N Hatami IIR, 26-37, 2012 | 26 | 2012 |
| 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 | 21 | 2022 |
| Automatic identification of retinal arteries and veins in fundus images using local binary patterns N Hatami, M Goldbaum arXiv preprint arXiv:1605.00763, 2016 | 21 | 2016 |
| Deep multi-resolution dictionary learning for histopathology image analysis N Hatami, M Bilal, N Rajpoot arXiv preprint arXiv:2104.00669, 2021 | 16 | 2021 |
| 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 | 13 | 2008 |
| 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 | 9 | 2011 |
| Mixture of random prototype-based local experts G Armano, N Hatami Hybrid Artificial Intelligence Systems: 5th International Conference, HAIS …, 2010 | 9 | 2010 |
| Some proposal for combining ensemble classifiers N Hatami PhD thesis, 2012 | 8 | 2012 |
| Random prototype-based oracle for selection-fusion ensembles G Armano, N Hatami 2010 20th International Conference on Pattern Recognition, 77-80, 2010 | 8 | 2010 |
| 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 | 6 | 2024 |
| Diverse accurate feature selection for microarray cancer diagnosis N Hatami, C Chira Intelligent Data Analysis 17 (4), 697-716, 2013 | 4 | 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 | 4 | 2012 |
| Thinned ECOC decomposition for gene expression based cancer classification N Hatami 2008 Eighth International Conference on Intelligent Systems Design and …, 2008 | 4 | 2008 |
| Accurate Retinal Artery and Vein Classification using Local Binary Patterns MH Goldbaum, N Hatami Investigative Ophthalmology and Visual Science 55 (5), 232, 2014 | 3 | 2014 |
Camelia ChiraBabes-Bolyai UniversityVerified email at ubbcluj.ro