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Fadi Dornaika
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- affiliation: University of the Basque Country, San Sebastian, Spain
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2020 – today
- 2025
- [j174]Maria Al Jreidy, Joseph Constantin, Fadi Dornaika, Denis Hamad:
Adaptive Unsupervised Graph Convolution Network for Data Clustering with Graph Reconstruction. Cogn. Comput. 17(1): 32 (2025) - [j173]Fadi Dornaika, Sally El Hajjar, Jinan Charafeddine, Nagore Barrena:
Unified Multi-view Data Clustering: Simultaneous Learning of Consensus Coefficient Matrix and Similarity Graph. Cogn. Comput. 17(1): 38 (2025) - [j172]D. Sun, Fadi Dornaika
, Nagore Barrena:
HSMix: Hard and soft mixing data augmentation for medical image segmentation. Inf. Fusion 115: 102741 (2025) - 2024
- [j171]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Abdelmalik Taleb-Ahmed:
Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes. Artif. Intell. Rev. 57(4): 90 (2024) - [j170]Pendar Alirezazadeh, Fadi Dornaika, Jinan Charafeddine:
Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification. Artif. Intell. Rev. 57(12): 326 (2024) - [j169]Fadi Dornaika, Zoulfikar Ibrahim, Alireza Bosaghzadeh:
Overcoming graph topology imbalance for inductive and scalable semi-supervised learning. Appl. Soft Comput. 151: 111164 (2024) - [j168]Fares Bougourzi
, Fadi Dornaika
, Cosimo Distante, Abdelmalik Taleb-Ahmed:
D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images. Comput. Biol. Medicine 176: 108590 (2024) - [j167]Fadi Dornaika
, Abdullah Baradaaji:
Joint Label Propagation, Graph and Latent Subspace Estimation for Semi-supervised Classification. Cogn. Comput. 16(3): 827-840 (2024) - [j166]Fadi Dornaika
, Sally El Hajjar, Jinan Charafeddine
:
Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering. Eng. Appl. Artif. Intell. 133: 108336 (2024) - [j165]Jingjun Bi, Fadi Dornaika
:
Sample-weighted fused graph-based semi-supervised learning on multi-view data. Inf. Fusion 104: 102175 (2024) - [j164]D. Sun, Fadi Dornaika
:
Data augmentation for deep visual recognition using superpixel based pairwise image fusion. Inf. Fusion 107: 102308 (2024) - [j163]D. Sun, Fadi Dornaika
, Jinan Charafeddine
:
LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation. Inf. Fusion 110: 102484 (2024) - [j162]Najmeh Ziraki
, Alireza Bosaghzadeh
, Fadi Dornaika:
Semi-Supervised Learning for Multi-View Data Classification and Visualization. Inf. 15(7): 421 (2024) - [j161]Bouthaina Slika
, Fadi Dornaika
, Hamid Merdji
, Karim Hammoudi
:
Lung pneumonia severity scoring in chest X-ray images using transformers. Medical Biol. Eng. Comput. 62(8): 2389-2407 (2024) - [j160]Fadi Dornaika
, Sally El Hajjar:
Towards a unified framework for graph-based multi-view clustering. Neural Networks 173: 106197 (2024) - [j159]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
, Shao-Ning Chen
, Davide Tricarico
, Hafiza Ayesha Hoor Chaudhry
, Attilio Fiandrotti
, Marco Grangetto
, Maria Ausilia Napoli Spatafora
, Alessandro Ortis
, Sebastiano Battiato
:
COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors 24(5): 1557 (2024) - [j158]Charbel Geryes Aoun
, Noura Mansour, Fadi Dornaika, Loïc Lagadec:
Environmental Constraints for Intelligent Internet of Deep-Sea/Underwater Things Relying on Enterprise Architecture Approach. Sensors 24(8): 2433 (2024) - [j157]Fadi Dornaika
, Sally El Hajjar
:
An End-to-End Approach for Graph-Based Multi-View Data Clustering. IEEE Trans. Big Data 10(5): 644-654 (2024) - [j156]Fadi Dornaika
, Danyang Sun
:
LGCOAMix: Local and Global Context-and-Object-Part-Aware Superpixel-Based Data Augmentation for Deep Visual Recognition. IEEE Trans. Image Process. 33: 205-215 (2024) - [j155]Fadi Dornaika
:
One-step Multi-view Clustering with Consensus Graph and Data Representation Convolution. ACM Trans. Intell. Syst. Technol. 15(1): 6:1-6:24 (2024) - [j154]Fadi Dornaika
, Zoulfikar Ibrahim
, Alireza Bosaghzadeh
:
Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology. ACM Trans. Knowl. Discov. Data 18(5): 133:1-133:18 (2024) - [c125]Fares Bougourzi
, Fadi Dornaika
, Abdelmalik Taleb-Ahmed
, Vinh Truong Hoang
:
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging. ICPR (4) 2024: 243-258 - [c124]Bouthaina Slika, Fadi Dornaika, Karim Hammoudi:
Predicting Lung Infection Severity in Chest X-Ray Images Through Multi-score Assessment. SADASC (1) 2024: 3-16 - [c123]Mohamad Abou Ali
, Fadi Dornaika
, Ignacio Arganda-Carreras
, Hussein Ali, Malak Karaouni:
Revolutionizing Skin Cancer Diagnosis: Unleashing AI Precision Through Deep Learning. SADASC (1) 2024: 121-138 - [c122]Zoulfikar Ibrahim, Alireza Bosaghzadeh, Fadi Dornaika:
Large Scale Graph Construction and Label Propagation. VISIGRAPP (2): VISAPP 2024: 702-709 - [c121]Danyang Sun, Fadi Dornaika:
Image Augmentation Preserving Object Parts Using Superpixels of Variable Granularity. VISIGRAPP (2): VISAPP 2024: 710-717 - [e2]Mohamed Hamlich
, Fadi Dornaika
, Carlos Ordonez, Ladjel Bellatreche
, Hicham Moutachaouik
:
Smart Applications and Data Analysis - 5th International Conference, SADASC 2024, Tangier, Morocco, April 18-20, 2024, Proceedings, Part I. Communications in Computer and Information Science 2167, Springer 2024, ISBN 978-3-031-77039-5 [contents] - [e1]Mohamed Hamlich
, Fadi Dornaika
, Carlos Ordonez, Ladjel Bellatreche
, Hicham Moutachaouik
:
Smart Applications and Data Analysis - 5th International Conference, SADASC 2024, Tangier, Morocco, April 18-20, 2024, Proceedings, Part II. Communications in Computer and Information Science 2168, Springer 2024, ISBN 978-3-031-77042-5 [contents] - [i17]Fares Bougourzi, Féryal Windal Moulaï, Halim Benhabiles, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans. CoRR abs/2403.11338 (2024) - [i16]Mahdi Tavassoli Kejani, Fadi Dornaika, Jean-Michel Loubes:
Fair Graph Neural Network with Supervised Contrastive Regularization. CoRR abs/2404.06090 (2024) - [i15]Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Vinh Truong Hoang:
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging. CoRR abs/2404.18199 (2024) - [i14]Marwa Afnouch, Fares Bougourzi, Olfa Gaddour, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Artificial Intelligence in Bone Metastasis Analysis: Current Advancements, Opportunities and Challenges. CoRR abs/2404.19598 (2024) - [i13]Fares Bougourzi, Fadi Dornaika, Cosimo Distante, Abdelmalik Taleb-Ahmed:
D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical Images. CoRR abs/2405.04169 (2024) - [i12]Fares Bougourzi, Fadi Dornaika, Chongsheng Zhang:
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild. CoRR abs/2408.13774 (2024) - 2023
- [j153]Zoulfikar Ibrahim, Alireza Bosaghzadeh, Fadi Dornaika
:
Joint graph and reduced flexible manifold embedding for scalable semi-supervised learning. Artif. Intell. Rev. 56(9): 9471-9495 (2023) - [j152]Fadi Dornaika
, Sally El Hajjar
:
Direct multi-view spectral clustering with consistent kernelized graph and convolved nonnegative representation. Artif. Intell. Rev. 56(10): 10987-11015 (2023) - [j151]Fadi Dornaika
:
From multi-view data features to clusters: a unified approach. Artif. Intell. Rev. 56(Supplement 3): 3821-3852 (2023) - [j150]Mohamad Abou Ali
, Fadi Dornaika
, Ignacio Arganda-Carreras
:
White Blood Cell Classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under Medical Microscope. Algorithms 16(11): 525 (2023) - [j149]Mohamad Abou Ali
, Fadi Dornaika
, Ignacio Arganda-Carreras
:
Blood Cell Revolution: Unveiling 11 Distinct Types with 'Naturalize' Augmentation. Algorithms 16(12): 562 (2023) - [j148]Fares Bougourzi, Fadi Dornaika
, Nagore Barrena, Cosimo Distante, Abdelmalik Taleb-Ahmed:
CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression. Appl. Intell. 53(9): 10825-10842 (2023) - [j147]Pendar Alirezazadeh, Fadi Dornaika
:
Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images. Comput. Biol. Medicine 166: 107528 (2023) - [j146]Fadi Dornaika
:
Deep, Flexible Data Embedding with Graph-Based Feature Propagation for Semi-supervised Classification. Cogn. Comput. 15(1): 1-12 (2023) - [j145]Najmeh Ziraki, Alireza Bosaghzadeh, Fadi Dornaika
, Zoulfikar Ibrahim, Nagore Barrena:
Inductive Multi-View Semi-supervised Learning with a Consensus Graph. Cogn. Comput. 15(3): 904-913 (2023) - [j144]Fadi Dornaika
, Abdullah Baradaaji
, Vinh Truong Hoang
:
Simultaneous label inference and discriminant projection estimation through adaptive self-taught graphs. Expert Syst. Appl. 211: 118480 (2023) - [j143]D. Elhani, Ahmed Chaouki Megherbi
, Athmane Zitouni, Fadi Dornaika
, Salim Sbaa, A. Taleb-Ahmed:
Optimizing convolutional neural networks architecture using a modified particle swarm optimization for image classification. Expert Syst. Appl. 229(Part A): 120411 (2023) - [j142]Fadi Dornaika
, Sally El Hajjar
:
Single phase multi-view clustering using unified graph learning and spectral representation. Inf. Sci. 645: 119366 (2023) - [j141]Fares Bougourzi
, Cosimo Distante
, Fadi Dornaika
, Abdelmalik Taleb-Ahmed:
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans. Medical Image Anal. 86: 102797 (2023) - [j140]Fadi Dornaika
, Vinh Truong Hoang
:
Deep data representation with feature propagation for semi-supervised learning. Int. J. Mach. Learn. Cybern. 14(4): 1303-1316 (2023) - [j139]Fadi Dornaika
, Vinh Truong Hoang
:
A novel graph-based multi-view spectral clustering: application to X-ray image analysis for COVID-19 recognition. Neural Comput. Appl. 35(29): 22043-22053 (2023) - [j138]Fadi Dornaika
, Jingjun Bi, Chongsheng Zhang:
A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization. Neural Networks 158: 188-196 (2023) - [j137]Fadi Dornaika
, Abdullah Baradaaji:
A unified semi-supervised model with joint estimation of graph, soft labels and latent subspace. Neural Networks 166: 248-259 (2023) - [j136]Khamis Houfar, Djamel Samai, Fadi Dornaika
, Azeddine Benlamoudi
, Khaled Bensid, Abdelmalik Taleb-Ahmed:
Automatically weighted binary multi-view clustering via deep initialization (AW-BMVC). Pattern Recognit. 137: 109281 (2023) - [j135]Fadi Dornaika
, D. Sun, Karim Hammoudi, Jinan Charafeddine
, Adnane Cabani, Chongsheng Zhang:
Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity. Pattern Recognit. 139: 109481 (2023) - [j134]Fadi Dornaika
:
Multi-similarity semi-supervised manifold embedding for facial attractiveness scoring. Soft Comput. 27(8): 5099-5108 (2023) - [j133]Abdullah Baradaaji
, Fadi Dornaika
:
Joint Latent Space and Label Inference Estimation with Adaptive Fused Data and Label Graphs. ACM Trans. Intell. Syst. Technol. 14(4): 62:1-62:25 (2023) - [c120]Jingjun Bi
, Fadi Dornaika
:
A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization. AAIA 2023: 336-342 - [c119]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Cosimo Distante, Abdelmalik Taleb-Ahmed:
Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS. ICASSP Workshops 2023: 1-5 - [c118]Fadi Dornaika, Abdullah Baradaaji, Jinan Charafeddine
:
Semi-supervised Classification through Data and Label Graph Fusion. ICCA 2023: 1-6 - [c117]Fadi Dornaika, Jihad Mohamad Al Ja'am, Alireza Bosaghzadeh, Zoulfikar Ibrahim, Nagore Barrena:
Scalable Semi-Supervised Learning through Combined Anchor-based Graph and Flexible Manifold Embedding. ICCA 2023: 1-6 - [c116]Bouthaina Slika
, Fadi Dornaika, Karim Hammoudi, Vinh Truong Hoang
:
Automatic Quantification of Lung Infection Severity in Chest X-ray Images. SSP 2023: 418-422 - [i11]Fares Bougourzi, Fadi Dornaika, Amir Nakib, Cosimo Distante, Abdelmalik Taleb-Ahmed:
2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans. CoRR abs/2303.08740 (2023) - [i10]Bouthaina Slika, Fadi Dornaika, Hamid Merdji
, Karim Hammoudi:
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images. CoRR abs/2303.11935 (2023) - [i9]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
D-TrAttUnet: Dual-Decoder Transformer-Based Attention Unet Architecture for Binary and Multi-classes Covid-19 Infection Segmentation. CoRR abs/2303.15576 (2023) - [i8]Fadi Dornaika, Radu Horaud:
Simultaneous Robot-World and Hand-Eye Calibration. CoRR abs/2311.11818 (2023) - [i7]Radu Horaud, Fadi Dornaika:
Hand-Eye Calibration. CoRR abs/2311.12655 (2023) - [i6]Radu Horaud, Fadi Dornaika, Bernard Espiau:
Visually Guided Object Grasping. CoRR abs/2311.12660 (2023) - 2022
- [j132]Fadi Dornaika
, Abdelmalik Moujahid
:
Multi-View Graph Fusion for Semi-Supervised Learning: Application to Image-Based Face Beauty Prediction. Algorithms 15(6): 207 (2022) - [j131]Pendar Alirezazadeh, Fadi Dornaika
, Abdelmalik Moujahid
:
A deep learning loss based on additive cosine margin: Application to fashion style and face recognition. Appl. Soft Comput. 131: 109776 (2022) - [j130]Xabier Lekunberri
, Jon Ruiz, Iñaki Quincoces
, Fadi Dornaika, Ignacio Arganda-Carreras
, Jose A. Fernandes
:
Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning. Ecol. Informatics 67: 101495 (2022) - [j129]Fadi Dornaika, A. Khoder, W. Khoder:
Data representation via refined discriminant analysis and common class structure. Neurocomputing 483: 348-360 (2022) - [j128]Sally El Hajjar
, Fadi Dornaika
, Fahed Abdallah:
Multi-view spectral clustering via constrained nonnegative embedding. Inf. Fusion 78: 209-217 (2022) - [j127]Fadi Dornaika:
On the use of high-order feature propagation in Graph Convolution Networks with Manifold Regularization. Inf. Sci. 584: 467-478 (2022) - [j126]Sally El Hajjar
, Fadi Dornaika, Fahed Abdallah
:
One-step multi-view spectral clustering with cluster label correlation graph. Inf. Sci. 592: 97-111 (2022) - [j125]O. Guehairia, Fadi Dornaika, Abdelmalik Ouamane, Abdelmalik Taleb-Ahmed:
Facial age estimation using tensor based subspace learning and deep random forests. Inf. Sci. 609: 1309-1317 (2022) - [j124]Karim Hammoudi
, Adnane Cabani, Bouthaina Slika
, Halim Benhabiles, Fadi Dornaika, Mahmoud Melkemi:
SuperpixelGridMasks Data Augmentation: Application to Precision Health and Other Real-world Data. J. Heal. Informatics Res. 6(4): 442-460 (2022) - [j123]Sally El Hajjar
, Fadi Dornaika, Fahed Abdallah
, Nagore Barrena:
Consensus graph and spectral representation for one-step multi-view kernel based clustering. Knowl. Based Syst. 241: 108250 (2022) - [j122]Fares Bougourzi, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Deep learning based face beauty prediction via dynamic robust losses and ensemble regression. Knowl. Based Syst. 242: 108246 (2022) - [j121]Salah Eddine Bekhouche
, Yassine Ruichek
, Fadi Dornaika:
Driver drowsiness detection in video sequences using hybrid selection of deep features. Knowl. Based Syst. 252: 109436 (2022) - [j120]Selma Trabelsi, Djamel Samai, Fadi Dornaika
, Azeddine Benlamoudi
, Khaled Bensid
, Abdelmalik Taleb-Ahmed:
Efficient palmprint biometric identification systems using deep learning and feature selection methods. Neural Comput. Appl. 34(14): 12119-12141 (2022) - [j119]Fadi Dornaika
, A. Khoder, Abdelmalik Moujahid, W. Khoder:
A supervised discriminant data representation: application to pattern classification. Neural Comput. Appl. 34(19): 16879-16895 (2022) - [j118]Najmeh Ziraki, Fadi Dornaika
, Alireza Bosaghzadeh
:
Multiple-view flexible semi-supervised classification through consistent graph construction and label propagation. Neural Networks 146: 174-180 (2022) - [j117]Issam Serraoui, Oualid Laiadi
, Abdelmalik Ouamane, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Knowledge-based tensor subspace analysis system for kinship verification. Neural Networks 151: 222-237 (2022) - [j116]Salah Eddine Bekhouche
, Ibrahim Kajo, Yassine Ruichek
, Fadi Dornaika
:
Spatiotemporal CNN with Pyramid Bottleneck Blocks: Application to eye blinking detection. Neural Networks 152: 150-159 (2022) - [j115]Aitor Almeida
, Unai Bermejo
, Aritz Bilbao
, Gorka Azkune
, Unai Aguilera
, Mikel Emaldi
, Fadi Dornaika, Ignacio Arganda-Carreras
:
A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments. Sensors 22(3): 701 (2022) - [j114]Pendar Alirezazadeh, Fadi Dornaika
, Abdelmalik Moujahid
:
Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval. Sensors 22(7): 2660 (2022) - [j113]Fadi Dornaika
, Abdelmalik Moujahid:
Feature and instance selection through discriminant analysis criteria. Soft Comput. 26(24): 13431-13447 (2022) - [j112]Fadi Dornaika
, Abdullah Baradaaji
, Youssof El Traboulsi
:
Joint Label Inference and Discriminant Embedding. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4413-4423 (2022) - [c115]Fares Bougourzi
, Cosimo Distante
, Fadi Dornaika, Abdelmalik Taleb-Ahmed
:
CNR-IEMN-CD and CNR-IEMN-CSD Approaches for Covid-19 Detection and Covid-19 Severity Detection from 3D CT-scans. ECCV Workshops (7) 2022: 593-604 - [c114]Sally El Hajjar
, Fadi Dornaika, Fahed Abdallah
, Hichem Omrani
:
Multi-view Spectral Clustering via Integrating Label and Data Graph Learning. ICIAP (3) 2022: 109-120 - [c113]Fares Bougourzi
, Cosimo Distante
, Fadi Dornaika
, Abdelmalik Taleb-Ahmed
, Abdenour Hadid
:
ILC-Unet++ for Covid-19 Infection Segmentation. ICIAP Workshops 2022: 461-472 - [c112]Sally El Hajjar
, Fadi Dornaika, Fahed Abdallah
:
Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering. SADASC 2022: 3-16 - [c111]Maria Al Jreidy, Joseph Constantin, Fadi Dornaika, Denis Hamad
:
Graph Convolution Networks for Unsupervised Learning. SADASC 2022: 24-33 - [i5]Karim Hammoudi, Adnane Cabani, Bouthaina Slika, Halim Benhabiles, Fadi Dornaika, Mahmoud Melkemi:
SuperpixelGridCut, SuperpixelGridMean and SuperpixelGridMix Data Augmentation. CoRR abs/2204.08458 (2022) - [i4]Fares Bougourzi, Cosimo Distante, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
Ensemble CNN models for Covid-19 Recognition and Severity Perdition From 3D CT-scan. CoRR abs/2206.15431 (2022) - 2021
- [j111]Fadi Dornaika
:
Joint feature and instance selection using manifold data criteria: application to image classification. Artif. Intell. Rev. 54(3): 1735-1765 (2021) - [j110]A. Khoder, Fadi Dornaika
:
A hybrid discriminant embedding with feature selection: application to image categorization. Appl. Intell. 51(6): 3142-3158 (2021) - [j109]Fadi Dornaika
:
Flexible data representation with feature convolution for semi-supervised learning. Appl. Intell. 51(11): 7690-7704 (2021) - [j108]A. Khoder, Fadi Dornaika:
Ensemble learning via feature selection and multiple transformed subsets: Application to image classification. Appl. Soft Comput. 113(Part): 108006 (2021) - [j107]Abdelmalik Moujahid
, Fadi Dornaika
, Ignacio Arganda-Carreras
, Jorge Reta:
Efficient and compact face descriptor for driver drowsiness detection. Expert Syst. Appl. 168: 114334 (2021) - [j106]Ruifeng Zhu, Fadi Dornaika
, Yassine Ruichek
:
Inductive semi-supervised learning with Graph Convolution based regression. Neurocomputing 434: 315-322 (2021) - [j105]Saeedeh Bahrami, Fadi Dornaika
, Alireza Bosaghzadeh:
Joint auto-weighted graph fusion and scalable semi-supervised learning. Inf. Fusion 66: 213-228 (2021) - [j104]Ilyes Bendjoudi, Frédéric Vanderhaegen, Denis Hamad
, Fadi Dornaika:
Multi-label, multi-task CNN approach for context-based emotion recognition. Inf. Fusion 76: 422-428 (2021) - [j103]Fadi Dornaika
, Abdullah Baradaaji
, Youssof El Traboulsi:
Semi-supervised classification via simultaneous label and discriminant embedding estimation. Inf. Sci. 546: 146-165 (2021) - [j102]Fares Bougourzi
, Cosimo Distante
, Abdelkrim Ouafi, Fadi Dornaika
, Abdenour Hadid
, Abdelmalik Taleb-Ahmed
:
Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans. J. Imaging 7(9): 189 (2021) - [j101]Karim Hammoudi
, Halim Benhabiles
, Mahmoud Melkemi, Fadi Dornaika, Ignacio Arganda-Carreras
, Dominique Collard
, Arnaud Scherpereel:
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19. J. Medical Syst. 45(7): 75 (2021) - [j100]Fadi Dornaika
:
Multi-layer linear embedding with feature subset selection. Knowl. Inf. Syst. 63(4): 1029-1043 (2021) - [j99]Fawzi Khattar
, Franck Luthon, Benoit Larroque, Fadi Dornaika
:
Visual localization and servoing for drone use in indoor remote laboratory environment. Mach. Vis. Appl. 32(1): 32 (2021) - [j98]Fadi Dornaika
:
Flexible data representation with graph convolution for semi-supervised learning. Neural Comput. Appl. 33(12): 6851-6863 (2021) - [j97]A. Khoder
, Fadi Dornaika
:
An enhanced approach to the robust discriminant analysis and class sparsity based embedding. Neural Networks 136: 11-16 (2021) - [j96]Hichem Telli
, Salim Sbaa, Salah Eddine Bekhouche
, Fadi Dornaika, Abdelmalik Taleb-Ahmed, Miguel Bordallo López
:
A Novel Multi-Level Pyramid Co-Variance Operators for Estimation of Personality Traits and Job Screening Scores. Traitement du Signal 38(3): 539-546 (2021) - [j95]