El Yaagoubi, M.
* 2017: Extended iris color features analysis and cluster headache diagnosis based on support vector classifier
Includes: El Yaagoubi, M. El-Yaagoubi, M.
El Yacoubi, A.[Abdenaim]
* 1998: Improved Model Architecture and Training Phase in an Off-Line HMM-Based Word Recognition System
* 2001: Handwritten month word recognition on Brazilian bank cheques
Includes: El Yacoubi, A.[Abdenaim] El-Yacoubi, A.[Abdenaim] El Yacoubi, A.
El Yacoubi, M.[Mounim]
* 2009: Handwriting recognition research: Twenty years of achievement... and beyond
El Yacoubi, M.A.[Mounim A.]
* 1999: HMM-Based Approach for Off-Line Unconstrained Handwritten Word Modeling and Recognition, An
* 2002: Statistical Approach for Phrase Location and Recognition within a Text Line: An Application to Street Name Recognition, A
* 2012: On the sensitivity of spatio-temporal interest points to person identity
* 2013: Multi-shot SURF-based person re-identification via sparse representation
* 2016: Two-layer discriminative model for human activity recognition
* 2018: Characterizing Early-Stage Alzheimer Through Spatiotemporal Dynamics of Handwriting
* 2018: Deep Representation for Finger-Vein Image-Quality Assessment
* 2019: From aging to early-stage Alzheimer's: Uncovering handwriting multimodal behaviors by semi-supervised learning and sequential representation learning
* 2020: Automatic processing of Historical Arabic Documents: A comprehensive Survey
* 2023: Local Attention Transformer-Based Full-View Finger-Vein Identification
* 2024: Special section: Best papers of the international conference on pattern recognition and artificial intelligence (ICPRAI) 2022
Includes: El Yacoubi, M.A.[Mounim A.] El-Yacoubi, M.A.[Mounim A.] El-Yacoubi, M.A. El-Yacoubi, M.A.[Mounīm A.]
11 for El Yacoubi, M.A.
El Yacoubi, S.[Samira]
* 2020: From TRMM to GPM: How Reliable Are Satellite-Based Precipitation Data across Nigeria?
El Yadari, M.[Meryeme]
* 2022: Placement methods of Virtual Machines in servers
El Yahyaouy, A.
* 2020: Credit Card Fraud Detection Based on Multilayer Perceptron and Extreme Learning Machine Architectures
El Yamany, N.A.[Noha A.]
* 2008: Robust Color Image Superresolution: An Adaptive M-Estimation Framework
* 2008: Using bounded-influence M-estimators in multi-frame super-resolution reconstruction: A comparative study
* 2010: Evaluation of depth compression and view synthesis distortions in multiview-video-plus-depth coding systems
Includes: El Yamany, N.A.[Noha A.] El-Yamany, N.A.[Noha A.]
El Yaniv, R.[Ran]
* 2005: Effective transductive learning via objective model selection
* 2007: Size-density spectra and their application to image classification
* 2008: Better multiclass classification via a margin-optimized single binary problem
* 2008: Repairing self-confident active-transductive learners using systematic exploration
* 2021: TranstextNet: Transducing Text for Recognizing Unseen Visual Relationships
Includes: El Yaniv, R.[Ran] El-Yaniv, R.[Ran]
El Yarmani, M.[Mabrouk]
* 2015: HybVOR: A Voronoi-Based 3D GIS Approach for Camera Surveillance Network Placement
El Yasha, S.R.
* 2019: Spatial Analysis of Poverty and Happiness Profiles in Special Region Of Yogyakarta Using Small Area Estimation Method
Includes: El Yasha, S.R. El-Yasha, S.R.
El yassa, M.[Mostafa]
* 2012: SVM and Haralick Features for Classification of High Resolution Satellite Images from Urban Areas
* 2016: Automatic Recognition of the Damages and Symptoms on Plant Leaves Using Parallel Combination of Two Classifiers
* 2016: Hybrid Combination of Multiple SVM Classifiers for Automatic Recognition of the Damages and Symptoms on Plant Leaves, A
* 2016: Otolith Recognition System Using a Normal Angles Contour
* 2020: Deep Transfer Learning Models for Tomato Disease Detection
Includes: El yassa, M.[Mostafa] El Yassa, M. El Yassa, M.[Mostafa]
El Yazeed, M.F.A.[M. Fathy Abu]
* 2008: Automatic generation of optimum classification cascades
Includes: El Yazeed, M.F.A.[M. Fathy Abu] El-Yazeed, M.F.A.[M. Fathy Abu]
El Youssefi, A.[Ahmed]
* 2022: Toward a Stage-wise Classification of Date Palm White Scale Disease using Features Extraction and Machine Learning Techniques