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

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

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

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)

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)

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)

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)

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

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)

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

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

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

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

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

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

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)

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

Evaluating the Effects of Educational Multimedia Design Principles on Cognitive Load Using EEG Signal Analysis. - Araz Farkish; Alireza Bosaghzadeh; S. Hamid Amiri; Reza Ebrahimpour (Educ. Inf. Technol., 2023)

Multi-view graph structure learning using subspace merging on Grassmann manifold. - Razieh Ghiasi; Hossein Amirkhani; Alireza Bosaghzadeh (Multim. Tools Appl., 2023)

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

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

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

Enhancing graph structure learning through multiple features and graphs fusion. - Razieh Ghiasi; Alireza Bosaghzadeh; Hossein Amirkhani (Comput. Electr. Eng., 2025)

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