AIT KERROUM Mounir
Email : aitkerroum.mounir@uit.ac.ma
Établissement : Ecole Nationale de Commerce et de Gestion
Laboratoire : Recherche en Informatique
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📚 Publications Scopus — Total : 46
| Titre | Année | 🔗 Voir |
|---|---|---|
| Stock Price Prediction Using ARIMA, Machine Learning and Deep Learning: Evidence from Attijariwafa Bank | 2026 | 🔗 Voir |
| A Transfer Learning–Enhanced Hybrid Deep Learning Framework for Bitcoin Price Forecasting Using Market Sentiment and Time Series Data | 2025 | 🔗 Voir |
| Enhanced ECG Classification Using Deep Convolutional Neural Networks | 2025 | 🔗 Voir |
| Cryptocurrency Price Forecasting: A Comparative Analysis of Machine Learning and Deep Learning Methods | 2025 | 🔗 Voir |
| Assessing trends in wildland-urban interface fire research through text mining: a comprehensive analysis of published literature | 2024 | 🔗 Voir |
| Cryptocurrency Forecasting Using Deep Learning Models: A Comparative Analysis | 2024 | 🔗 Voir |
| Recognition of Arabic handwritten words using convolutional neural network | 2022 | 🔗 Voir |
| A New Framework for Analyzing News in the Financial Markets to Enhance the Investor’s Perception | 2022 | 🔗 Voir |
| Financial sentiment analysis of tweets based on deep learning approach | 2022 | 🔗 Voir |
| Secure Palmprint Recognition based on Multispectral Sequential Capture | 2022 | 🔗 Voir |
| Multi-instance Finger Knuckle Print Recognition based on Fusion of Local Features | 2022 | 🔗 Voir |
| A Novel Band Selection Approach for Hyperspectral Image Classification using the Kolmogorov Variational Distance | 2020 | 🔗 Voir |
| Band selection by divergence distance based on gaussian mixture model for hyperspectral image classification | 2019 | 🔗 Voir |
| Band Selection with Bhattacharyya Distance Based on the Gaussian Mixture Model for Hyperspectral Image Classification | 2019 | 🔗 Voir |
| Multispectral Palmprint Recognition based on Fusion of Local Features | 2018 | 🔗 Voir |
| Finger knuckle print recognition system using compound local binary pattern | 2018 | 🔗 Voir |
| Band selection with the bhattacharyya distance based on the Gaussian mixture model for hyperspectral image classification | 2018 | 🔗 Voir |
| The use of band selection in weighted linear prediction for hyperspectral image classification | 2018 | 🔗 Voir |
| Unimodal palmprint recognition system based on local features | 2017 | 🔗 Voir |
| Texture classification based on curvelet transform and extreme learning machine with reduced feature set | 2017 | 🔗 Voir |
| Robust Principal Components based on Projection Pursuit for hyperspectral band reduction | 2017 | 🔗 Voir |
| A performance evaluation approach for MAC protocols of wireless multimedia sensor networks | 2017 | 🔗 Voir |
| Breast cancer diagnosis based on curvelet transform and locality sensitive discriminant analysis with reduced feature set | 2017 | 🔗 Voir |
| Robust color traffic sign recognition algorithm based on steerable pyramid transform and extreme learning machine | 2017 | 🔗 Voir |
| Band selection for high-dimensional remote sensing data by mutual information | 2016 | 🔗 Voir |
| Word-based Arabic handwritten recognition using SVM classifier with a reject option | 2016 | 🔗 Voir |
| Band selection by mutual information for hyper-spectral image classification | 2016 | 🔗 Voir |
| An efficient segmentation algorithm for handwritten arabic words | 2015 | 🔗 Voir |
| A review of feature extraction techniques for handwritten Arabic text recognition | 2015 | 🔗 Voir |
| A hybrid feature extraction scheme based on DWT and uniform LBP for digital mammograms classification | 2015 | 🔗 Voir |
| Fusion of local and global feature extraction based on uniform LBP and DCT for traffic sign recognition | 2015 | 🔗 Voir |
| Multi-stage fusion of local and global features based classification for traffic sign recognition | 2014 | 🔗 Voir |
| Handwritten digit recognition based on DCT features and SVM classifier | 2014 | 🔗 Voir |
| Statistical block-based DWT features for digital mammograms classification | 2014 | 🔗 Voir |
| Traffic Sign Recognition based on multi-block LBP features using SVM with normalization | 2014 | 🔗 Voir |
| Unsupervised approach data analysis based on fuzzy possibilistic clustering: Application to medical image MRI | 2013 | 🔗 Voir |
| Correction, denoising and segmentation of MRI images via levels set method | 2013 | 🔗 Voir |
| Image filtering, denoising and segmentation via levels set method: An application to medical images MRI | 2012 | 🔗 Voir |
| Improved fuzzy clustering approach: Application to medical image MRI | 2012 | 🔗 Voir |
| An improved fuzzy clustering approach using possibilist c-means algorithm: Application to medical image MRI | 2012 | 🔗 Voir |
| Combining classifiers using Dempster-Shafer evidence theory to improve remote sensing images classification | 2011 | 🔗 Voir |
| Variational image segmentation models: Application to medical images MRI | 2011 | 🔗 Voir |
| Textural feature selection by joint mutual information based on Gaussian mixture model for multispectral image classification | 2010 | 🔗 Voir |
| Input textural feature selection by mutual information for multispectral image classification | 2010 | 🔗 Voir |
| Textural feature selection by mutual information for multispectral image classification | 2009 | 🔗 Voir |
| Using the maximum mutual information criterion to textural feature selection for satellite image classification | 2008 | 🔗 Voir |