Self Calibration of a Stereo Head Mounted onto a Robot Arm. - Radu Horaud; Fadi Dornaika; Boubakeur Boufama; Roger Mohr (ECCV (1), 1994)

Object Pose: Links Between Paraperspective and Perspective. - Radu Horaud; Stéphane Christy; Fadi Dornaika; Bart Lamiroy (ICCV, 1995)

Integrating Grasp Planning and Visual Servoing for Automatic Grasping. - Radu Horaud; Fadi Dornaika; Christian Bard; Christian Laugier (ISER, 1995)

Hand-Eye Calibration. - Radu Horaud; Fadi Dornaika (Int. J. Robotics Res., 1995)

Contributions à l'intégration vision robotique : calibrage, localisation et asservissement. (Contributions to the integration of vision and robotics : calibration, localization, and servoing). - Fadi Dornaika (1995)

Object Pose by Affine Iterations. - Fadi Dornaika; Christophe Garcia (ICIAP (1), 1997)

Object Pose: The Link between Weak Perspective, Paraperspective, and Full Perspective. - Radu Horaud; Fadi Dornaika; Bart Lamiroy (Int. J. Comput. Vis., 1997)

Simultaneous robot-world and hand-eye calibration. - Fadi Dornaika; Radu Horaud (IEEE Trans. Robotics Autom., 1998)

Visually guided object grasping. - Radu Horaud; Fadi Dornaika; Bernard Espiau (IEEE Trans. Robotics Autom., 1998)

Stereo Correspondence from Motion Correspondence. - Fadi Dornaika; Ronald Chung (CVPR, 1999)

Pose Estimation using Point and Line Correspondences. - Fadi Dornaika; Christophe Garcia (Real Time Imaging, 1999)

Granulometry Using Mathematical Morphology and Motion. - Fadi Dornaika; Hong Zhang 013 (MVA, 2000)

Cooperative Stereo-Motion: Matching and Reconstruction. - Fadi Dornaika; Ronald Chung (Comput. Vis. Image Underst., 2000)

Self-Calibration of a Stereo Rig Using Monocular Epipolar Geometry. - Fadi Dornaika (ICCV, 2001)

View Synthesis from Two Uncalibrated Images. - Fadi Dornaika (ICIAP, 2001)

Hand Pose Recovery with a Single Video Camera. - Kihwan Kwon; Hong Zhang 013; Fadi Dornaika (ICRA, 2001)

An Algebraic Approach to Camera Self-Calibration. - Fadi Dornaika; Ronald Chung (Comput. Vis. Image Underst., 2001)

Image Registration for Foveated Omnidirectional Sensing. - Fadi Dornaika; James H. Elder (ECCV (4), 2002)

Face Model Adaptation using Robust Matching and Active Appearance Models. - Fadi Dornaika; Jörgen Ahlberg (WACV, 2002)

Binocular matching constraints from motion. - Fadi Dornaika; Ronald Chung (Pattern Recognit., 2002)

Efficient Active Appearance Model for Real-Time Head and Facial Feature Tracking. - Fadi Dornaika; Jörgen Ahlberg (AMFG, 2003)

Face Model Adaptation for Tracking and Active Appearance Model Training. - Fadi Dornaika; Jörgen Ahlberg (BMVC, 2003)

Stereo geometry from 3D ego-motion streams. - Fadi Dornaika; Ronald Chung (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Head and Facial Animation Tracking using Appearance-Adaptive Models and Particle Filters. - Fadi Dornaika; Franck Davoine (CVPR Workshops, 2004)

Model-Based Head and Facial Motion Tracking. - Fadi Dornaika; Jörgen Ahlberg (ECCV Workshop on HCI, 2004)

Online Appearance-Based Face and Facial Feature Tracking. - Fadi Dornaika; Franck Davoine (ICPR (3), 2004)

Face And Facial Feature Tracking Using Deformable Models. - Fadi Dornaika; Jörgen Ahlberg (Int. J. Image Graph., 2004)

Mosaicking images with parallax. - Fadi Dornaika; Ronald Chung (Signal Process. Image Commun., 2004)

Fast and reliable active appearance model search for 3-D face tracking. - Fadi Dornaika; Jörgen Ahlberg (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Simultaneous Facial Action Tracking and Expression Recognition Using a Particle Filter. - Fadi Dornaika; Franck Davoine (ICCV, 2005)

Sfm for planar scenes: a direct and robust approach. - Fadi Dornaika; Angel Domingo Sappa (ICINCO, 2005)

View and texture-independent facial expression recognition in videos using dynamic programming. - Fadi Dornaika; Franck Davoine (ICIP (2), 2005)

SFM for planar scenes using image derivatives. - Fadi Dornaika; Franck Davoine (ICIP (3), 2005)

Facial expression recognition in continuous videos using linear discriminant analysis. - Fadi Dornaika; Franck Davoine (MVA, 2005)

Rigid and Non-rigid Face Motion Tracking by Aligning Texture Maps and Stereo-Based 3D Models. - Fadi Dornaika; Angel Domingo Sappa (ACIVS, 2006)

Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models. - Fadi Dornaika; Javier Orozco; Jordi Gonzàlez 001 (AMDO, 2006)

Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme. - Fadi Dornaika; Bogdan Raducanu (AVSS, 2006)

An Edge-Based Approach to Motion Detection. - Angel Domingo Sappa; Fadi Dornaika (International Conference on Computational Science (1), 2006)

Real Time Vehicle Pose Using On-Board Stereo Vision System. - Angel Domingo Sappa; David Gerónimo; Fadi Dornaika; Antonio M. López 001 (ICIAR (2), 2006)

Facial Expression Recognition using Auto-regressive Models. - Fadi Dornaika; Franck Davoine (ICPR (2), 2006)

3D Face Tracking Using Appearance Registration and Robust Iterative Closest Point Algorithm. - Fadi Dornaika; Angel Domingo Sappa (ISCIS, 2006)

3D Motion from Image Derivatives Using the Least Trimmed Square Regression. - Fadi Dornaika; Angel Domingo Sappa (IWICPAS, 2006)

Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data. - Fadi Dornaika; Angel Domingo Sappa (VISIGRAPP (Selected Papers), 2006)

Fitting 3D face models for tracking and active appearance model training. - Fadi Dornaika; Jörgen Ahlberg (Image Vis. Comput., 2006)

On Appearance Based Face and Facial Action Tracking. - Fadi Dornaika; Franck Davoine (IEEE Trans. Circuits Syst. Video Technol., 2006)

Efficient On-Board Stereo Vision Pose Estimation. - Angel Domingo Sappa; Fadi Dornaika; David Gerónimo; Antonio M. López 001 (EUROCAST, 2007)

Road Approximation in Euclidean and v -Disparity Space: A Comparative Study. - Angel Domingo Sappa; Rosa Herrero; Fadi Dornaika; David Gerónimo; Antonio M. López 001 (EUROCAST, 2007)

Real-Time Vehicle Ego-Motion Using Stereo Pairs and Particle Filters. - Fadi Dornaika; Angel Domingo Sappa (ICIAR, 2007)

Efficient Facial Expression Recognition for Human Robot Interaction. - Fadi Dornaika; Bogdan Raducanu (IWANN, 2007)

Real time 3D face and facial feature tracking. - Fadi Dornaika; Javier Orozco (J. Real Time Image Process., 2007)

Self-calibration of a stereo rig using monocular epipolar geometries. - Fadi Dornaika (Pattern Recognit., 2007)

Rigid and non-rigid face motion tracking by aligning texture maps and stereo 3D models. - Fadi Dornaika; Angel Domingo Sappa (Pattern Recognit. Lett., 2007)

Inferring facial expressions from videos: Tool and application. - Fadi Dornaika; Bogdan Raducanu (Signal Process. Image Commun., 2007)

Dynamic vs. Static Recognition of Facial Expressions. - Bogdan Raducanu; Fadi Dornaika (AmI, 2008)

Simultaneous tracking and facial expression recognition using multiperson and multiclass autoregressive models. - Fadi Dornaika; Franck Davoine (FG, 2008)

Constructing panoramic views through facial gaze tracking. - Fadi Dornaika; Bogdan Raducanu (ICME, 2008)

Detecting and tracking of 3D face pose for human-robot interaction. - Fadi Dornaika; Bogdan Raducanu (ICRA, 2008)

Simultaneous Facial Action Tracking and Expression Recognition in the Presence of Head Motion. - Fadi Dornaika; Franck Davoine (Int. J. Comput. Vis., 2008)

Evaluation of an appearance-based 3D face tracker using dense 3D data. - Fadi Dornaika; Angel Domingo Sappa (Mach. Vis. Appl., 2008)

An Efficient Approach to Onboard Stereo Vision System Pose Estimation. - Angel Domingo Sappa; Fadi Dornaika; Daniel Ponsa; David Gerónimo; Antonio M. López 001 (IEEE Trans. Intell. Transp. Syst., 2008)

Natural Facial Expression Recognition Using Dynamic and Static Schemes. - Bogdan Raducanu; Fadi Dornaika (ISVC (1), 2009)

Extracting 3D Polyhedral Building Models from Aerial Images Using a Featureless and Direct Approach. - Fadi Dornaika; Karim Hammoudi (MVA, 2009)

Simultaneous 3D face pose and person-specific shape estimation from a single image using a holistic approach. - Fadi Dornaika; Bogdan Raducanu (WACV, 2009)

A featureless and stochastic approach to on-board stereo vision system pose. - Fadi Dornaika; Angel Domingo Sappa (Image Vis. Comput., 2009)

Instantaneous 3D motion from image derivatives using the Least Trimmed Square regression. - Fadi Dornaika; Angel Domingo Sappa (Pattern Recognit. Lett., 2009)

Three-Dimensional Face Pose Detection and Tracking Using Monocular Videos: Tool and Application. - Fadi Dornaika; Bogdan Raducanu (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Facial Expression Recognition for HCI Applications. - Fadi Dornaika; Bogdan Raducanu (Encyclopedia of Artificial Intelligence, 2009)

Estimating 3D Polyhedral Building Models by Registering Aerial Images. - Fadi Dornaika; Karim Hammoudi (ACIVS (2), 2010)

Extracting Outlined Planar Clusters of Street Facades from 3D Point Clouds. - Karim Hammoudi; Fadi Dornaika; Bahman Soheilian; Nicolas Paparoditis (CRV, 2010)

Single snapshot-based 3D head pose initialization for tracking in a HRI scenario. - Fadi Dornaika; Bogdan Raducanu (CVPR Workshops, 2010)

Intégration de connaissances a priori dans le principe du maximum d'entropie. - Fadi Chakik; Fadi Dornaika (EGC, 2010)

Inférence bayesienne du maximum d'entropie pour le diagnostic du cancer. - Fadi Dornaika; Fadi Chakik (EGC, 2010)

A Holistic Approach to Eyelid Tracking Under Varying Head Pose. - Fadi Dornaika (ICIP, 2010)

Efficient Object Detection and Matching Using Feature Classification. - Fadi Dornaika; Fadi Chakik (ICPR, 2010)

Person-Specific Face Shape Estimation under Varying Head Pose from Single Snapshots. - Fadi Dornaika; Bogdan Raducanu (ICPR, 2010)

Dynamic facial expression recognition using Laplacian Eigenmaps-based manifold learning. - Bogdan Raducanu; Fadi Dornaika (ICRA, 2010)

Linear Dimensionality Reduction through Eigenvector Selection for Object Recognition. - Fadi Dornaika; Ammar Assoum (ISVC (1), 2010)

Combining Linear Dimensionality Reduction and Locality Preserving Projections with Feature Selection for Recognition Tasks. - Fadi Dornaika; Ammar Assoum; Alireza Bosaghzadeh (ACIVS, 2011)

Selective locality preserving projections for face recognition. - Fadi Dornaika; Ammar Assoum (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2011)

Enhanced and Parameterless Locality Preserving Projections for Face Recognition. - Fadi Dornaika; Ammar Assoum; Abdelmalik Moujahid (Intelligent Environments (Workshops), 2011)

Generating Virtual 3D Model of Urban Street Facades by Fusing Terrestrial Multi-source Data. - Karim Hammoudi; Fadi Dornaika; Nicolas Paparoditis (Intelligent Environments, 2011)

A Parameter-Free Locality Sensitive Discriminant Analysis and Its Application to Coarse 3D Head Pose Estimation. - Alireza Bosaghzadeh; Fadi Dornaika (ISVC (2), 2011)

Improving dynamic facial expression recognition with feature subset selection. - Fadi Dornaika; Elena Lazkano; Basilio Sierra (Pattern Recognit. Lett., 2011)

A Featureless Approach to 3D Polyhedral Building Modeling from Aerial Images. - Karim Hammoudi; Fadi Dornaika (Sensors, 2011)

A New Framework for Stereo Sensor Pose Through Road Segmentation and Registration. - Fadi Dornaika; José M. Álvarez 004; Angel Domingo Sappa; Antonio M. López 001 (IEEE Trans. Intell. Transp. Syst., 2011)

Pose-Invariant Face Recognition in Videos for Human-Machine Interaction. - Bogdan Raducanu; Fadi Dornaika (ECCV Workshops (2), 2012)

A novel margin-based linear embedding technique for visual object recognition. - Fadi Dornaika; Ammar Assoum (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2012)

Generalized Local Discriminant Embedding for Face Recognition. - Fadi Dornaika; Alireza Bosaghzadeh (ICIAR (2), 2012)

Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection. - Fadi Dornaika; Ammar Assoum; Bogdan Raducanu (SSPR/SPR, 2012)

Out-of-Sample Embedding by Sparse Representation. - Bogdan Raducanu; Fadi Dornaika (SSPR/SPR, 2012)

Generating occlusion-free textures for virtual 3D model of urban facades by fusing image and laser street data. - Karim Hammoudi; Fadi Dornaika; Bahman Soheilian; Bruno Vallet; Nicolas Paparoditis (VR, 2012)

Appearance-based face recognition using a supervised manifold learning framework. - Bogdan Raducanu; Fadi Dornaika (WACV, 2012)

Recovering quasi-real occlusion-free textures for facade models by exploiting fusion of image and laser street data and image inpainting. - Karim Hammoudi; Fadi Dornaika; Bahman Soheilian; Bruno Vallet; John McDonald 001; Nicolas Paparoditis (WIAMIS, 2012)

A supervised non-linear dimensionality reduction approach for manifold learning. - Bogdan Raducanu; Fadi Dornaika (Pattern Recognit., 2012)

Image registration for foveated panoramic sensing. - Fadi Dornaika; James H. Elder (ACM Trans. Multim. Comput. Commun. Appl., 2012)

Moving Object Detection from Mobile Platforms Using Stereo Data Registration. - Angel Domingo Sappa; David Gerónimo; Fadi Dornaika; Mohammad Rouhani; Antonio M. López 001 (Computational Intelligence Paradigms in Advanced Pattern Classification, 2012)

Adaptive Two Phase Sparse Representation Classifier for Face Recognition. - Fadi Dornaika; Youssof El Traboulsi; Ammar Assoum (ACIVS, 2013)

Out-of-Sample Embedding for Manifold Learning Applied to Face Recognition. - Fadi Dornaika; B. Raduncanu (CVPR Workshops, 2013)

Supervised linear dimensionality reduction with robust margins for object recognition. - Fadi Dornaika; Ammar Assoum (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2013)

Efficient Graph Construction for Label Propagation Based Multi-observation Face Recognition. - Fadi Dornaika; Alireza Bosaghzadeh; Bogdan Raducanu (HBU, 2013)

On Solving the Small Sample Size Problem for Marginal Fisher Analysis. - Fadi Dornaika; Alireza Bosaghzadeh (ICIAR, 2013)

Image-Based Delineation of Built Heritage Masonry for Automatic Classification. - Noelia Oses; Fadi Dornaika (ICIAR, 2013)

Model-less 3D Head Pose Estimation using Self-optimized Local Discriminant Embedding. - Fadi Dornaika; A. Bosgahzadeh; Ammar Assoum (VISAPP (2), 2013)

A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data. - Karim Hammoudi; Fadi Dornaika; Bahman Soheilian; Bruno Vallet; John McDonald 001; Nicolas Paparoditis (CoRR, 2013)

Facial expression recognition using tracked facial actions: Classifier performance analysis. - Fadi Dornaika; Abdelmalik Moujahid; Bogdan Raducanu (Eng. Appl. Artif. Intell., 2013)

Enhanced and parameterless Locality Preserving Projections for face recognition. - Fadi Dornaika; Ammar Assoum (Neurocomputing, 2013)

Texture-independent recognition of facial expressions in image snapshots and videos. - Bogdan Raducanu; Fadi Dornaika (Mach. Vis. Appl., 2013)

Parameterless Local Discriminant Embedding. - Alireza Bosaghzadeh; Abdelmalik Moujahid; Fadi Dornaika (Neural Process. Lett., 2013)

Exponential Local Discriminant Embedding and Its Application to Face Recognition. - Fadi Dornaika; Alireza Bosaghzadeh (IEEE Trans. Cybern., 2013)

A Flexible Semi-supervised Feature Extraction Method for Image Classification. - Fadi Dornaika; Youssof El Traboulsi (ACCV Workshops (3), 2014)

Instance Selection Using Two Phase Collaborative Neighbor Representation. - Fadi Dornaika; Ihab Kamal Aldine (ICANN, 2014)

Two Subspace-Based Kernel Local Discriminant Embedding. - Fadi Dornaika; Alireza Bosaghzadeh (ICANN, 2014)

Locality Constrained Encoding Graph Construction and Application to Outdoor Object Classification. - Fadi Dornaika; Alireza Bosaghzadeh; Houssam Salmane; Yassine Ruichek (ICPR, 2014)

Image Classification via Semi-supervised Feature Extraction with Out-of-Sample Extension. - Fadi Dornaika; Youssof El Traboulsi; Blanca Cases; Ammar Assoum (ISVC (1), 2014)

Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems. - Karim Hammoudi; Nabil Ajam; Mohamed Kasraoui; Fadi Dornaika; Karan Radhakrishnan; Karthik Bandi; Qing Cai; Sai Liu (CoRR, 2014)

A graph construction method using LBP self-representativeness for outdoor object categorization. - Fadi Dornaika; Alireza Bosaghzadeh; Houssam Salmane; Yassine Ruichek (Eng. Appl. Artif. Intell., 2014)

Graph-based semi-supervised learning with Local Binary Patterns for holistic object categorization. - Fadi Dornaika; Alireza Bosaghzadeh; Houssam Salmane; Yassine Ruichek (Expert Syst. Appl., 2014)

Efficient generic face model fitting to images and videos. - Luis Unzueta; Waldir Pimenta; Jon Goenetxea; Luís Paulo Santos; Fadi Dornaika (Image Vis. Comput., 2014)

Embedding new observations via sparse-coding for non-linear manifold learning. - Bogdan Raducanu; Fadi Dornaika (Pattern Recognit., 2014)

Image-Based Delineation and Classification of Built Heritage Masonry. - Noelia Oses; Fadi Dornaika; Abdelmalik Moujahid (Remote. Sens., 2014)

Developing Vision-based and Cooperative Vehicular Embedded Systems for Enhancing Road Monitoring Services. - Karim Hammoudi; Halim Benhabiles; Mohamed Kasraoui; Nabil Ajam; Fadi Dornaika; Karan Radhakrishnan; Karthik Bandi; Qing Cai; Sai Liu (ANT/SEIT, 2015)

Multi-observation face recognition in videos based on label propagation. - Bogdan Raducanu; Alireza Bosaghzadeh; Fadi Dornaika (CVPR Workshops, 2015)

Machine learning schemes in augmented reality for features detection. - Ghina Dandachi; Ammar Assoum; Bachar Elhassan; Fadi Dornaika (DICTAP, 2015)

Graph optimized Laplacian eigenmaps for face recognition. - Fadi Dornaika; Ammar Assoum; Yassine Ruichek (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2015)

Fine grained recognition of masonry walls for built heritage assessment. - Noelia Oses; Fadi Dornaika; Abdelmalik Moujahid (Intelligent Robots and Computer Vision: Algorithms and Techniques, 2015)

Exemplar Selection Using Collaborative Neighbor Representation. - Fadi Dornaika; Ihab Kamal Aldine; Blanca Cases (HAIS, 2015)

Design, Implementation and Simulation of an Experimental Processing Architecture for Enhancing Real-time Video Services by Combining VANET, Cloud Computing System and Onboard Navigation System. - Karim Hammoudi; Nabil Ajam; Mohamed Kasraoui; Fadi Dornaika; Karan Radhakrishnan; Karthik Bandi; Qing Cai; Sai Liu (PECCS, 2015)

Kernel flexible manifold embedding for pattern classification. - Youssof El Traboulsi; Fadi Dornaika; Ammar Assoum (Neurocomputing, 2015)

Adaptive graph construction using data self-representativeness for pattern classification. - Fadi Dornaika; Alireza Bosaghzadeh (Inf. Sci., 2015)

Object Classification using Hybrid Holistic Descriptors: Application to Building Detection in Aerial Orthophotos. - Fadi Dornaika; Abdelmalik Moujahid; Alireza Bosaghzadeh; Youssef El Merabet; Yassine Ruichek (Polibits, 2015)

Decremental Sparse Modeling Representative Selection for prototype selection. - Fadi Dornaika; Ihab Kamal Aldine (Pattern Recognit., 2015)

Place Recognition Using Image Retrieval with Covariance Descriptors. - Fadi Dornaika; Ammar Assoum; Abdelmalik Moujahid (IRIACV, 2016)

Feature Extraction Using Block-based Local Binary Pattern for Face Recognition. - Abdelmalik Moujahid; Amaia Abanda; Fadi Dornaika (IRIACV, 2016)

Exploiting color cues to improve person re-identification. - Charbel Chahla; Hichem Snoussi; Fahed Abdallah; Fadi Dornaika (ICDP, 2016)

Visual localization based on sequence matching using ConvNet features. - Yongliang Qiao; Cindy Cappelle; Yassine Ruichek; Fadi Dornaika (IECON, 2016)

Comparative Study of Human Age Estimation Based on Hand-Crafted and Deep Face Features. - C. Belver; Ignacio Arganda-Carreras; Fadi Dornaika (VAAM/FFER@ICPR, 2016)

Discriminant sparse label-sensitive embedding: Application to image-based face pose estimation. - Fadi Dornaika; Charbel Chahla; Fawzi Khattar; Fahed Abdallah; Hichem Snoussi (Eng. Appl. Artif. Intell., 2016)

Building detection from orthophotos using a machine learning approach: An empirical study on image segmentation and descriptors. - Fadi Dornaika; Abdelmalik Moujahid; Youssef El Merabet; Yassine Ruichek (Expert Syst. Appl., 2016)

Graph construction based on data self-representativeness and Laplacian smoothness. - Libo Weng; Fadi Dornaika; Zhong Jin (Neurocomputing, 2016)

Sensors Technologies and Methods for Perception Systems in Intelligent Vehicles. - Yassine Ruichek; Fadi Dornaika; Maan El Badaoui El Najjar (J. Sensors, 2016)

Kernel sparse modeling for prototype selection. - Fadi Dornaika; Ihab Kamal Aldine; Abdenour Hadid (Knowl. Based Syst., 2016)

Inductive and flexible feature extraction for semi-supervised pattern categorization. - Fadi Dornaika; Youssof El Traboulsi; Ammar Assoum (Pattern Recognit., 2016)

Flexible constrained sparsity preserving embedding. - Libo Weng; Fadi Dornaika; Zhong Jin (Pattern Recognit., 2016)

Learning Flexible Graph-Based Semi-Supervised Embedding. - Fadi Dornaika; Youssof El Traboulsi (IEEE Trans. Cybern., 2016)

Evaluating Age Estimation Using Deep Convolutional Neural Nets. - C. Belver; Ignacio Arganda-Carreras; Fadi Dornaika (Computational Imaging, 2017)

Personality Traits and Job Candidate Screening via Analyzing Facial Videos. - Salah Eddine Bekhouche; Fadi Dornaika; Abdelkrim Ouafi; Abdelmalik Taleb-Ahmed (CVPR Workshops, 2017)

A competition on generalized software-based face presentation attack detection in mobile scenarios. - Zinelabdine Boulkenafet; Jukka Komulainen; Zahid Akhtar; Azeddine Benlamoudi; Djamel Samai; Salah Eddine Bekhouche; Abdelkrim Ouafi; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Le Qin; Fei Peng 001; L. B. Zhang; et al. (IJCB, 2017)

Margin Based Semi-Supervised Elastic Embedding for Face Image Analysis. - Fadi Dornaika; Youssof El Traboulsi (ICCV Workshops, 2017)

Detection Systems for Improving the Citizen Security and Comfort from Urban and Vehicular Surveillance Technologies: An Overview. - Karim Hammoudi; Halim Benhabiles; Mahmoud Melkemi; Fadi Dornaika (IISSC/CN4IoT, 2017)

Analyzing and managing the slot occupancy of car parking by exploiting vision-based urban surveillance networks. - Karim Hammoudi; Mahmoud Melkemi; Halim Benhabiles; Fadi Dornaika; Sofiane Hamrioui; Joel J. P. C. Rodrigues (MoWNet, 2017)

Discriminant quaternion local binary pattern embedding for person re-identification through prototype formation and color categorization. - C. Chahla; Hichem Snoussi; Fahed Abdallah; Fadi Dornaika (Eng. Appl. Artif. Intell., 2017)

Pyramid multi-level features for facial demographic estimation. - Salah Eddine Bekhouche; Abdelkrim Ouafi; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Abdenour Hadid (Expert Syst. Appl., 2017)

Efficient dynamic graph construction for inductive semi-supervised learning. - Fadi Dornaika; R. Dahbi; Alireza Bosaghzadeh; Yassine Ruichek (Neural Networks, 2017)

Graph construction using adaptive Local Hybrid Coding scheme. - Fadi Dornaika; Mahdi Tavassoli Kejani; Alireza Bosaghzadeh (Neural Networks, 2017)

Matrix exponential based semi-supervised discriminant embedding for image classification. - Fadi Dornaika; Youssof El Traboulsi (Pattern Recognit., 2017)

3D Object-Camera and 3D Face-Camera Pose Estimation for Quadcopter Control: Application to Remote Labs. - Fawzi Khattar; Fadi Dornaika; Benoit Larroque; Franck Luthon (ACIVS, 2018)

Quadcopter control using onboard monocular camera for enriching remote laboratory facilities. - Fawzi Khattar; Fadi Dornaika; Franck Luthon; Benoit Larroque (AQTR, 2018)

Image-Based Driver Drowsiness Detection. - Fadi Dornaika; Fawzi Khattar; Jorge Reta; Ignacio Arganda-Carreras; M. Hernandez; Yassine Ruichek (FFER/DLPR@ICPR, 2018)

Robust and Flexible Graph-based Semi-supervised Embedding. - Fadi Dornaika; Youssof El Traboulsi; Ruifeng Zhu (ICPR, 2018)

Flexible and Discriminative Non-linear Embedding with Feature Selection for Image Classification. - Ruifeng Zhu; Fadi Dornaika; Yassine Ruichek (ICPR, 2018)

Driver Drowsiness Detection in Facial Images. - Fadi Dornaika; Jorge Reta; Ignacio Arganda-Carreras; Abdelmalik Moujahid (IPTA, 2018)

A Comparative Study of 2 Resolution-Level LBP Descriptors and Compact Versions for Visual Analysis. - Karim Hammoudi; Mahmoud Melkemi; Fadi Dornaika; Halim Benhabiles; Féryal Windal; Oussama Taoufik (MUE/FutureTech, 2018)

Feature selection for spatially enhanced LBP: application to face recognition. - Abdelmalik Moujahid; Fadi Dornaika (Int. J. Data Sci. Anal., 2018)

Structured sparse graphs using manifold constraints for visual data analysis. - Fadi Dornaika; Libo Weng; Zhong Jin (Neurocomputing, 2018)

Flexible semi-supervised embedding based on adaptive loss regression: Application to image categorization. - Youssof El Traboulsi; Fadi Dornaika (Inf. Sci., 2018)

Semi-supervised two phase test sample sparse representation classifier. - Youssof El Traboulsi; Fadi Dornaika; Yassine Ruichek (Knowl. Based Syst., 2018)

Proposals for local basis selection for the sparse representation-based classifier. - Fadi Dornaika; Youssof El Traboulsi (Signal Image Video Process., 2018)

Instance Selection Using Nonlinear Sparse Modeling. - Fadi Dornaika; Ihab Kamal Aldine (IEEE Trans. Circuits Syst. Video Technol., 2018)

Discriminant Manifold Learning with Graph Convolution Based Regression for Image Classification. - Ruifeng Zhu; Fadi Dornaika; Yassine Ruichek (GbRPR, 2019)

Adaptive Hybrid Representation for Graph-Based Semi-supervised Classification. - Fadi Dornaika; Alireza Bosaghzadeh (ICIAP (1), 2019)

Active Two Phase Collaborative Representation Classifier for Image Categorization. - Fadi Dornaika; Youssof El Traboulsi; Y. Ruicheck (ICIAP (1), 2019)

Deep Learning based Detection of Hair Loss Levels from Facial Images. - Halim Benhabiles; Karim Hammoudi; Ziheng Yang; Féryal Windal; Mahmoud Melkemi; Fadi Dornaika; Ignacio Arganda-Carreras (IPTA, 2019)

Multi Similarity Metric Fusion in Graph-Based Semi-Supervised Learning. - Saeedeh Bahrami; Alireza Bosaghzadeh; Fadi Dornaika (Comput., 2019)

Fusion of transformed shallow features for facial expression recognition. - Fares Bougourzi; Karim Mokrani; Yassine Ruichek; Fadi Dornaika; Abdelkrim Ouafi; Abdelmalik Taleb-Ahmed (IET Image Process., 2019)

Nonlinear, flexible, semisupervised learning scheme for face beauty scoring. - Fadi Dornaika; Anne Elorza; Kunwei Wang; Ignacio Arganda-Carreras (J. Electronic Imaging, 2019)

A pyramid multi-level face descriptor: application to kinship verification. - Abdelmalik Moujahid; Fadi Dornaika (Multim. Tools Appl., 2019)

Age estimation in facial images through transfer learning. - Fadi Dornaika; Ignacio Arganda-Carreras; C. Belver (Mach. Vis. Appl., 2019)

Towards semantic segmentation of orthophoto images using graph-based community identification. - Abdelmalik Moujahid; Fadi Dornaika; Yassine Ruichek; Karim Hammoudi (Neural Comput. Appl., 2019)

Joint sparse graph and flexible embedding for graph-based semi-supervised learning. - Fadi Dornaika; Youssof El Traboulsi (Neural Networks, 2019)

Learning a discriminant graph-based embedding with feature selection for image categorization. - Ruifeng Zhu; Fadi Dornaika; Yassine Ruichek (Neural Networks, 2019)

Sparse graphs with smoothness constraints: Application to dimensionality reduction and semi-supervised classification. - Fadi Dornaika; Libo Weng (Pattern Recognit., 2019)

Joint graph based embedding and feature weighting for image classification. - Ruifeng Zhu; Fadi Dornaika; Yassine Ruichek (Pattern Recognit., 2019)

An efficient pyramid multi-level image descriptor: application to image-based parking lot monitoring. - Fadi Dornaika; Karim Hammoudi; Mahmoud Melkemi; T. D. A. Phan (Signal Image Video Process., 2019)

Active Two Phase Collaborative Representation Classifier. - Fadi Dornaika (ACM Trans. Knowl. Discov. Data, 2019)

Soft Label and Discriminant Embedding Estimation for Semi-Supervised Classification. - Fadi Dornaika; Abdullah Baradaaji; Youssof El Traboulsi (ICPR, 2020)

Feature Extraction by Joint Robust Discriminant Analysis and Inter-class Sparsity. - Fadi Dornaika; A. Khoder (ICPR, 2020)

Feature Extraction and Selection via Robust Discriminant Analysis and Class Sparsity. - A. Khoder; Fadi Dornaika (ICPR, 2020)

Multi-layer manifold learning with feature selection. - Fadi Dornaika (Appl. Intell., 2020)

Efficient deep discriminant embedding: Application to face beauty prediction and classification. - Fadi Dornaika; Abdelmalik Moujahid; Kunwei Wang; X. Feng (Eng. Appl. Artif. Intell., 2020)

Incremental and dynamic graph construction with application to image classification. - Alireza Bosaghzadeh; Fadi Dornaika (Expert Syst. Appl., 2020)

Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition. - Fares Bougourzi; Fadi Dornaika; Karim Mokrani; Abdelmalik Taleb-Ahmed; Yassine Ruichek (Expert Syst. Appl., 2020)

Robust regression with deep CNNs for facial age estimation: An empirical study. - Fadi Dornaika; Salah Eddine Bekhouche; Ignacio Arganda-Carreras (Expert Syst. Appl., 2020)

Toward graph-based semi-supervised face beauty prediction. - Fadi Dornaika; Kunwei Wang; Ignacio Arganda-Carreras; Anne Elorza; Abdelmalik Moujahid (Expert Syst. Appl., 2020)

Learned versus Handcrafted Features for Person Re-identification. - C. Chahla; Hichem Snoussi; Fahed Abdallah; Fadi Dornaika (Int. J. Pattern Recognit. Artif. Intell., 2020)

Kinship verification through facial images using multiscale and multilevel handcrafted features. - Abdelhakim Chergui; Salim Ouchtati; Sébastien Mavromatis; Salah Eddine Bekhouche; Jean Sequeira; Fadi Dornaika (J. Electronic Imaging, 2020)

Feature extraction from null and non-null spaces of kernel local discriminant embedding. - Alireza Bosaghzadeh; Fadi Dornaika (Knowl. Inf. Syst., 2020)

Sparse graphs using global and local smoothness constraints. - Fadi Dornaika (Int. J. Mach. Learn. Cybern., 2020)

Parameter self-tuning schemes for the two phase test sample sparse representation classifier. - Fadi Dornaika; Youssof El Traboulsi; Yassine Ruichek (Int. J. Mach. Learn. Cybern., 2020)

A comparative study of human facial age estimation: handcrafted features vs. deep features. - Salah Eddine Bekhouche; Fadi Dornaika; Azeddine Benlamoudi; Abdelkrim Ouafi; Abdelmalik Taleb-Ahmed (Multim. Tools Appl., 2020)

Image-based face beauty analysis via graph-based semi-supervised learning. - Fadi Dornaika; Anne Elorza; Kunwei Wang; Ignacio Arganda-Carreras (Multim. Tools Appl., 2020)

Efficient deformable 3D face model tracking with limited hardware resources. - Jon Goenetxea; Luis Unzueta; Fadi Dornaika; Oihana Otaegui (Multim. Tools Appl., 2020)

Transfer learning and feature fusion for kinship verification. - Fadi Dornaika; Ignacio Arganda-Carreras; Oscar Serradilla (Neural Comput. Appl., 2020)

Multi-scale multi-block covariance descriptor with feature selection. - Abdelmalik Moujahid; Fadi Dornaika (Neural Comput. Appl., 2020)

Linear embedding by joint Robust Discriminant Analysis and Inter-class Sparsity. - Fadi Dornaika; A. Khoder (Neural Networks, 2020)

Feature fusion via Deep Random Forest for facial age estimation. - Oussama Guehairia; Abdelmalik Ouamane; Fadi Dornaika; Abdelmalik Taleb-Ahmed (Neural Networks, 2020)

Graph Convolution Networks with manifold regularization for semi-supervised learning. - Mahdi Tavassoli Kejani; Fadi Dornaika; H. Talebi (Neural Networks, 2020)

Semi-supervised elastic manifold embedding with deep learning architecture. - Ruifeng Zhu; Fadi Dornaika; Yassine Ruichek (Pattern Recognit., 2020)

Efficient Multi-task based Facial Landmark and Gesture Detection in Monocular Images. - Jon Goenetxea; Luis Unzueta; Unai Elordi; Oihana Otaegui; Fadi Dornaika (VISIGRAPP (5: VISAPP), 2021)

Joint feature and instance selection using manifold data criteria: application to image classification. - Fadi Dornaika (Artif. Intell. Rev., 2021)

Flexible data representation with feature convolution for semi-supervised learning. - Fadi Dornaika (Appl. Intell., 2021)

A hybrid discriminant embedding with feature selection: application to image categorization. - A. Khoder; Fadi Dornaika (Appl. Intell., 2021)

Ensemble learning via feature selection and multiple transformed subsets: Application to image classification. - A. Khoder; Fadi Dornaika (Appl. Soft Comput., 2021)

Efficient and compact face descriptor for driver drowsiness detection. - Abdelmalik Moujahid; Fadi Dornaika; Ignacio Arganda-Carreras; Jorge Reta (Expert Syst. Appl., 2021)

Inductive semi-supervised learning with Graph Convolution based regression. - Ruifeng Zhu; Fadi Dornaika; Yassine Ruichek (Neurocomputing, 2021)

Joint auto-weighted graph fusion and scalable semi-supervised learning. - Saeedeh Bahrami; Fadi Dornaika; Alireza Bosaghzadeh (Inf. Fusion, 2021)

Multi-label, multi-task CNN approach for context-based emotion recognition. - Ilyes Bendjoudi; Frédéric Vanderhaegen; Denis Hamad; Fadi Dornaika (Inf. Fusion, 2021)

Semi-supervised classification via simultaneous label and discriminant embedding estimation. - Fadi Dornaika; Abdullah Baradaaji; Youssof El Traboulsi (Inf. Sci., 2021)

Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans. - Fares Bougourzi; Cosimo Distante; Abdelkrim Ouafi; Fadi Dornaika; Abdenour Hadid; Abdelmalik Taleb-Ahmed (J. Imaging, 2021)

Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. - Karim Hammoudi; Halim Benhabiles; Mahmoud Melkemi; Fadi Dornaika; Ignacio Arganda-Carreras; Dominique Collard; Arnaud Scherpereel (J. Medical Syst., 2021)

Multi-layer linear embedding with feature subset selection. - Fadi Dornaika (Knowl. Inf. Syst., 2021)

Visual localization and servoing for drone use in indoor remote laboratory environment. - Fawzi Khattar; Franck Luthon; Benoit Larroque; Fadi Dornaika (Mach. Vis. Appl., 2021)

Flexible data representation with graph convolution for semi-supervised learning. - Fadi Dornaika (Neural Comput. Appl., 2021)

An enhanced approach to the robust discriminant analysis and class sparsity based embedding. - A. Khoder; Fadi Dornaika (Neural Networks, 2021)

A Novel Multi-Level Pyramid Co-Variance Operators for Estimation of Personality Traits and Job Screening Scores. - Hichem Telli; Salim Sbaa; Salah Eddine Bekhouche; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Miguel Bordallo López (Traitement du Signal, 2021)

Elastic Embedding through Graph Convolution-based Regression for Semi-supervised Classification. - Fadi Dornaika (ACM Trans. Knowl. Discov. Data, 2021)

CNR-IEMN-CD and CNR-IEMN-CSD Approaches for Covid-19 Detection and Covid-19 Severity Detection from 3D CT-scans. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed (ECCV Workshops (7), 2022)

ILC-Unet++ for Covid-19 Infection Segmentation. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Abdenour Hadid (ICIAP Workshops, 2022)

Multi-view Spectral Clustering via Integrating Label and Data Graph Learning. - Sally El Hajjar; Fadi Dornaika; Fahed Abdallah; Hichem Omrani (ICIAP (3), 2022)

Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering. - Sally El Hajjar; Fadi Dornaika; Fahed Abdallah (SADASC, 2022)

Graph Convolution Networks for Unsupervised Learning. - Maria Al Jreidy; Joseph Constantin; Fadi Dornaika; Denis Hamad (SADASC, 2022)

Multi-View Graph Fusion for Semi-Supervised Learning: Application to Image-Based Face Beauty Prediction. - Fadi Dornaika; Abdelmalik Moujahid (Algorithms, 2022)

A deep learning loss based on additive cosine margin: Application to fashion style and face recognition. - Pendar Alirezazadeh; Fadi Dornaika; Abdelmalik Moujahid (Appl. Soft Comput., 2022)

SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation. - Karim Hammoudi; Adnane Cabani; Bouthaina Slika; Halim Benhabiles; Fadi Dornaika; Mahmoud Melkemi (CoRR, 2022)

Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed (CoRR, 2022)

Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning. - Xabier Lekunberri; Jon Ruiz; Iñaki Quincoces; Fadi Dornaika; Ignacio Arganda-Carreras; Jose A. Fernandes (Ecol. Informatics, 2022)

Data representation via refined discriminant analysis and common class structure. - Fadi Dornaika; A. Khoder; W. Khoder (Neurocomputing, 2022)

Multi-view spectral clustering via constrained nonnegative embedding. - Sally El Hajjar; Fadi Dornaika; Fahed Abdallah (Inf. Fusion, 2022)

On the use of high-order feature propagation in Graph Convolution Networks with Manifold Regularization. - Fadi Dornaika (Inf. Sci., 2022)

Facial age estimation using tensor based subspace learning and deep random forests. - Oussama Guehairia; Fadi Dornaika; Abdelmalik Ouamane; Abdelmalik Taleb-Ahmed (Inf. Sci., 2022)

One-step multi-view spectral clustering with cluster label correlation graph. - Sally El Hajjar; Fadi Dornaika; Fahed Abdallah (Inf. Sci., 2022)

Driver drowsiness detection in video sequences using hybrid selection of deep features. - Salah Eddine Bekhouche; Yassine Ruichek; Fadi Dornaika (Knowl. Based Syst., 2022)

Deep learning based face beauty prediction via dynamic robust losses and ensemble regression. - Fares Bougourzi; Fadi Dornaika; Abdelmalik Taleb-Ahmed (Knowl. Based Syst., 2022)

Consensus graph and spectral representation for one-step multi-view kernel based clustering. - Sally El Hajjar; Fadi Dornaika; Fahed Abdallah; Nagore Barrena (Knowl. Based Syst., 2022)

A supervised discriminant data representation: application to pattern classification. - Fadi Dornaika; A. Khoder; Abdelmalik Moujahid; W. Khoder (Neural Comput. Appl., 2022)

Efficient palmprint biometric identification systems using deep learning and feature selection methods. - Selma Trabelsi; Djamel Samai; Fadi Dornaika; Azeddine Benlamoudi; Khaled Bensid; Abdelmalik Taleb-Ahmed (Neural Comput. Appl., 2022)

Spatiotemporal CNN with Pyramid Bottleneck Blocks: Application to eye blinking detection. - Salah Eddine Bekhouche; Ibrahim Kajo; Yassine Ruichek; Fadi Dornaika (Neural Networks, 2022)

Knowledge-based tensor subspace analysis system for kinship verification. - Issam Serraoui; Oualid Laiadi; Abdelmalik Ouamane; Fadi Dornaika; Abdelmalik Taleb-Ahmed (Neural Networks, 2022)

Multiple-view flexible semi-supervised classification through consistent graph construction and label propagation. - Najmeh Ziraki; Fadi Dornaika; Alireza Bosaghzadeh (Neural Networks, 2022)

Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval. - Pendar Alirezazadeh; Fadi Dornaika; Abdelmalik Moujahid (Sensors, 2022)

A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments. - Aitor Almeida; Unai Bermejo; Aritz Bilbao; Gorka Azkune; Unai Aguilera; Mikel Emaldi; Fadi Dornaika; Ignacio Arganda-Carreras (Sensors, 2022)

Feature and instance selection through discriminant analysis criteria. - Fadi Dornaika; Abdelmalik Moujahid (Soft Comput., 2022)

Joint Label Inference and Discriminant Embedding. - Fadi Dornaika; Abdullah Baradaaji; Youssof El Traboulsi (IEEE Trans. Neural Networks Learn. Syst., 2022)

SuperpixelGridMasks Data Augmentation: Application to Precision Health and Other Real-world Data. - Karim Hammoudi; Adnane Cabani; Bouthaina Slika; Halim Benhabiles; Fadi Dornaika; Mahmoud Melkemi (J. Heal. Informatics Res., 2022)

A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization. - Jingjun Bi; Fadi Dornaika (AAIA, 2023)

Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS. - Fares Bougourzi; Fadi Dornaika; Amir Nakib; Cosimo Distante; Abdelmalik Taleb-Ahmed (ICASSP Workshops, 2023)

Semi-supervised Classification through Data and Label Graph Fusion. - Fadi Dornaika; Abdullah Baradaaji; Jinan Charafeddine (ICCA, 2023)

Scalable Semi-Supervised Learning through Combined Anchor-based Graph and Flexible Manifold Embedding. - Fadi Dornaika; Jihad Mohamad Al Ja'am; Alireza Bosaghzadeh; Zoulfikar Ibrahim; Nagore Barrena (ICCA, 2023)

Automatic Quantification of Lung Infection Severity in Chest X-ray Images. - Bouthaina Slika; Fadi Dornaika; Karim Hammoudi; Vinh Truong Hoang (SSP, 2023)

White Blood Cell Classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under Medical Microscope. - Mohamad Abou Ali; Fadi Dornaika; Ignacio Arganda-Carreras (Algorithms, 2023)

Blood Cell Revolution: Unveiling 11 Distinct Types with 'Naturalize' Augmentation. - Mohamad Abou Ali; Fadi Dornaika; Ignacio Arganda-Carreras (Algorithms, 2023)

Inductive Multi-View Semi-supervised Learning with a Consensus Graph. - Najmeh Ziraki; Alireza Bosaghzadeh; Fadi Dornaika; Zoulfikar Ibrahim; Nagore Barrena (Cogn. Comput., 2023)

2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans. - Fares Bougourzi; Fadi Dornaika; Amir Nakib; Cosimo Distante; Abdelmalik Taleb-Ahmed (CoRR, 2023)

Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images. - Bouthaina Slika; Fadi Dornaika; Hamid Merdji; Karim Hammoudi (CoRR, 2023)

D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed (CoRR, 2023)

Simultaneous label inference and discriminant projection estimation through adaptive self-taught graphs. - Fadi Dornaika; Abdullah Baradaaji; Vinh Truong Hoang (Expert Syst. Appl., 2023)

Multi-similarity semi-supervised manifold embedding for facial attractiveness scoring. - Fadi Dornaika (Soft Comput., 2023)

Deep, Flexible Data Embedding with Graph-Based Feature Propagation for Semi-supervised Classification. - Fadi Dornaika (Cogn. Comput., 2023)

A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization. - Fadi Dornaika; Jingjun Bi; Chongsheng Zhang (Neural Networks, 2023)

Deep data representation with feature propagation for semi-supervised learning. - Fadi Dornaika; Vinh Truong Hoang (Int. J. Mach. Learn. Cybern., 2023)

CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression. - Fares Bougourzi; Fadi Dornaika; Nagore Barrena; Cosimo Distante; Abdelmalik Taleb-Ahmed (Appl. Intell., 2023)

PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed (Medical Image Anal., 2023)

Automatically weighted binary multi-view clustering via deep initialization (AW-BMVC). - Khamis Houfar; Djamel Samai; Fadi Dornaika; Azeddine Benlamoudi; Khaled Bensid; Abdelmalik Taleb-Ahmed (Pattern Recognit., 2023)

Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity. - Fadi Dornaika; D. Sun; Karim Hammoudi; Jinan Charafeddine; Adnane Cabani; Chongsheng Zhang (Pattern Recognit., 2023)

Joint Latent Space and Label Inference Estimation with Adaptive Fused Data and Label Graphs. - Abdullah Baradaaji; Fadi Dornaika (ACM Trans. Intell. Syst. Technol., 2023)

Joint graph and reduced flexible manifold embedding for scalable semi-supervised learning. - Zoulfikar Ibrahim; Alireza Bosaghzadeh; Fadi Dornaika (Artif. Intell. Rev., 2023)

A unified semi-supervised model with joint estimation of graph, soft labels and latent subspace. - Fadi Dornaika; Abdullah Baradaaji (Neural Networks, 2023)

Direct multi-view spectral clustering with consistent kernelized graph and convolved nonnegative representation. - Fadi Dornaika; Sally El Hajjar (Artif. Intell. Rev., 2023)

Single phase multi-view clustering using unified graph learning and spectral representation. - Fadi Dornaika; Sally El Hajjar (Inf. Sci., 2023)

A novel graph-based multi-view spectral clustering: application to X-ray image analysis for COVID-19 recognition. - Fadi Dornaika; Vinh Truong Hoang (Neural Comput. Appl., 2023)

Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images. - Pendar Alirezazadeh; Fadi Dornaika (Comput. Biol. Medicine, 2023)

Optimizing convolutional neural networks architecture using a modified particle swarm optimization for image classification. - D. Elhani; Ahmed Chaouki Megherbi; Athmane Zitouni; Fadi Dornaika; Salim Sbaa; A. Taleb-Ahmed (Expert Syst. Appl., 2023)

From multi-view data features to clusters: a unified approach. - Fadi Dornaika (Artif. Intell. Rev., 2023)

Enhancing Medical Image Classification with Streamlined-EvidNet: A Robust Neural Network Architecture. - Saeed Al Gharib; Jinan Charafeddine; Samir Haddad; Fadi Dornaika (ICCA, 2024)

Data Augmentation Techniques for Medical Image Segmentation - A Review. - Naney Kozah; Fadi Dornaika; Jinan Charafeddine; Jihad El Jaam (ICCA, 2024)

Deep Learning Image-Based Plant Disease Classification - A Review. - Israa Tartoussi; Fadi Dornaika; Pendar Alirezazadeh; Jihad El Jaam (ICCA, 2024)

Superpixel Mixing: A Data Augmentation Technique For Robust Deep Visual Recognition Models. - Danyang Sun; Fadi Dornaika; Vinh Truong Hoang; Nagore Barrena (ICIP, 2024)

Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging. - Fares Bougourzi; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Vinh Truong Hoang (ICPR (4), 2024)

Revolutionizing Skin Cancer Diagnosis: Unleashing AI Precision Through Deep Learning. - Mohamad Abou Ali; Fadi Dornaika; Ignacio Arganda-Carreras; Hussein Ali; Malak Karaouni (SADASC (1), 2024)

Predicting Lung Infection Severity in Chest X-Ray Images Through Multi-score Assessment. - Bouthaina Slika; Fadi Dornaika; Karim Hammoudi (SADASC (1), 2024)

Large Scale Graph Construction and Label Propagation. - Zoulfikar Ibrahim; Alireza Bosaghzadeh; Fadi Dornaika (VISIGRAPP (2): VISAPP, 2024)

Image Augmentation Preserving Object Parts Using Superpixels of Variable Granularity. - Danyang Sun; Fadi Dornaika (VISIGRAPP (2): VISAPP, 2024)

Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes. - Fares Bougourzi; Fadi Dornaika; Amir Nakib; Abdelmalik Taleb-Ahmed (Artif. Intell. Rev., 2024)

D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images. - Fares Bougourzi; Fadi Dornaika; Cosimo Distante; Abdelmalik Taleb-Ahmed (Comput. Biol. Medicine, 2024)

Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans. - Fares Bougourzi; Féryal Windal Moulaï; Halim Benhabiles; Fadi Dornaika; Abdelmalik Taleb-Ahmed (CoRR, 2024)

Fair Graph Neural Network with Supervised Contrastive Regularization. - Mahdi Tavassoli Kejani; Fadi Dornaika; Jean-Michel Loubes (CoRR, 2024)

Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild. - Fares Bougourzi; Fadi Dornaika; Chongsheng Zhang (CoRR, 2024)

Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering. - Fadi Dornaika; Sally El Hajjar; Jinan Charafeddine (Eng. Appl. Artif. Intell., 2024)

Data augmentation for deep visual recognition using superpixel based pairwise image fusion. - D. Sun; Fadi Dornaika (Inf. Fusion, 2024)

LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation. - D. Sun; Fadi Dornaika; Jinan Charafeddine (Inf. Fusion, 2024)

Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification. - Mohamad Abou Ali; Fadi Dornaika; Ignacio Arganda-Carreras (Mach. Learn. Knowl. Extr., 2024)

Towards a unified framework for graph-based multi-view clustering. - Fadi Dornaika; Sally El Hajjar (Neural Networks, 2024)

LGCOAMix: Local and Global Context-and-Object-Part-Aware Superpixel-Based Data Augmentation for Deep Visual Recognition. - Fadi Dornaika; Danyang Sun (IEEE Trans. Image Process., 2024)

Overcoming graph topology imbalance for inductive and scalable semi-supervised learning. - Fadi Dornaika; Zoulfikar Ibrahim; Alireza Bosaghzadeh (Appl. Soft Comput., 2024)

One-step Multi-view Clustering with Consensus Graph and Data Representation Convolution. - Fadi Dornaika (ACM Trans. Intell. Syst. Technol., 2024)

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Abdenour Hadid; Suman Chaudhary; Wanting Yang; Yan Qiang; Talha Anwar; Mihaela Elena Breaban; Chih-Chung Hsu; Shen-Chieh Tai; et al. (Sensors, 2024)

Sample-weighted fused graph-based semi-supervised learning on multi-view data. - Jingjun Bi; Fadi Dornaika (Inf. Fusion, 2024)

Environmental Constraints for Intelligent Internet of Deep-Sea/Underwater Things Relying on Enterprise Architecture Approach. - Charbel Geryes Aoun; Noura Mansour; Fadi Dornaika; Loïc Lagadec (Sensors, 2024)

Joint Label Propagation, Graph and Latent Subspace Estimation for Semi-supervised Classification. - Fadi Dornaika; Abdullah Baradaaji (Cogn. Comput., 2024)

Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology. - Fadi Dornaika; Zoulfikar Ibrahim; Alireza Bosaghzadeh (ACM Trans. Knowl. Discov. Data, 2024)

Semi-Supervised Learning for Multi-View Data Classification and Visualization. - Najmeh Ziraki; Alireza Bosaghzadeh; Fadi Dornaika (Inf., 2024)

Lung pneumonia severity scoring in chest X-ray images using transformers. - Bouthaina Slika; Fadi Dornaika; Hamid Merdji; Karim Hammoudi (Medical Biol. Eng. Comput., 2024)

An End-to-End Approach for Graph-Based Multi-View Data Clustering. - Fadi Dornaika; Sally El Hajjar (IEEE Trans. Big Data, 2024)

Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification. - Pendar Alirezazadeh; Fadi Dornaika; Jinan Charafeddine (Artif. Intell. Rev., 2024)

Transformer-Based Lung Infection Severity Prediction with Cross Attention and Conditional TransMix Augmentation. - Bouthaina Slika; Fadi Dornaika; Fares Bougourzi; Karim Hammoudi (CVPR Workshops, 2025)

Hybrid Learning Framework for Explainable Cardiovascular Disease Detection. - Saeed Al Gharib; Jinan Charafeddine; Fadi Dornaika; Samir Haddad (IEEE Access, 2025)

Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges. - Marwa Afnouch; Fares Bougourzi; Olfa Gaddour; Fadi Dornaika; Abdelmalik Taleb-Ahmed (Comput. Biol. Medicine, 2025)

CGCN-FMF:1D convolutional neural network based feature fusion and multi graph fusion for semi-supervised learning. - Guowen Peng; Fadi Dornaika; Jinan Charafeddine (Expert Syst. Appl., 2025)

Towards dynamic self-training for scalable semi-supervised learning on graphs. - Fadi Dornaika; Zoulfikar Ibrahim; Jinan Charafeddine; Alireza Bosaghzadeh (Neurocomputing, 2025)

HSMix: Hard and soft mixing data augmentation for medical image segmentation. - D. Sun; Fadi Dornaika; Nagore Barrena (Inf. Fusion, 2025)

Metric learning-enhanced semi-supervised Graph Convolutional Network for multi-view learning. - Huaiyuan Xiao; Fadi Dornaika; Jinan Charafeddine; Jingjun Bi (Inf. Fusion, 2025)

Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks. - Fadi Dornaika; Jingjun Bi; Jinan Charafeddine; H. Xiao (Neural Networks, 2025)

Unified Multi-view Data Clustering: Simultaneous Learning of Consensus Coefficient Matrix and Similarity Graph. - Fadi Dornaika; Sally El Hajjar; Jinan Charafeddine; Nagore Barrena (Cogn. Comput., 2025)

Adaptive Unsupervised Graph Convolution Network for Data Clustering with Graph Reconstruction. - Maria Al Jreidy; Joseph Constantin; Fadi Dornaika; Denis Hamad (Cogn. Comput., 2025)

Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data. - Fadi Dornaika; Jingjun Bi; Jinan Charafeddine (Cogn. Comput., 2025)

Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images. - Bouthaina Slika; Fadi Dornaika; Karim Hammoudi (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

One-phase multi-view clustering with unified graph and data representation convolution. - Fadi Dornaika; Jinan Charafeddine (Soft Comput., 2025)

Correction: One-phasemulti-view clustering with unified graph and data representation convolution. - Fadi Dornaika; Jinan Charafeddine (Soft Comput., 2025)

Deep Feature Disentanglement for Supervised Contrastive Learning: Application to Image Classification. - Fadi Dornaika; B. Wang; Jinan Charafeddine (Cogn. Comput., 2025)

SegDT: A Diffusion Transformer-Based Segmentation Model for Medical Imaging. - Salah Eddine Bekhouche; Gaby Maroun; Fadi Dornaika; Abdenour Hadid (CoRR, 2025)

Enhanced Arabic Text Retrieval with Attentive Relevance Scoring. - Salah Eddine Bekhouche; Azeddine Benlamoudi; Yazid Bounab; Fadi Dornaika; Abdenour Hadid (CoRR, 2025)

Advanced unsupervised learning: a comprehensive overview of multi-view clustering techniques. - Abdelmalik Moujahid; Fadi Dornaika (Artif. Intell. Rev., 2025)

Multi-view learning with graph convolution networks adopting diverse graphs and genuine deep feature fusion. - Guowen Peng; Fadi Dornaika; Jinan Charafeddine (Artif. Intell. Rev., 2025)

Linear projection fused graph-based semi-supervised learning on multi-view data. - Jingjun Bi; Fadi Dornaika; Jinan Charafeddine (Artif. Intell. Rev., 2025)

PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-Rays and CT Scans via Parallel and Cross-Attended Encoders. - Bouthaina Slika; Fadi Dornaika; Fares Bougourzi; Karim Hammoudi (IEEE Trans. Big Data, 2025)