Alireza Bosaghzadeh

According to our database, Alireza Bosaghzadeh authored at least 29 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Overcoming graph topology imbalance for inductive and scalable semi-supervised learning.

Fadi Dornaika, Zoulfikar Ibrahim, Alireza Bosaghzadeh

Appl. Soft Comput., January, 2024

Large Scale Graph Construction and Label Propagation.

Zoulfikar Ibrahim, Alireza Bosaghzadeh, Fadi Dornaika

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Joint graph and reduced flexible manifold embedding for scalable semi-supervised learning.

Zoulfikar Ibrahim, Alireza Bosaghzadeh, Fadi Dornaika

Artif. Intell. Rev., September, 2023

Multi-view graph structure learning using subspace merging on Grassmann manifold.

Razieh Ghiasi, Hossein Amirkhani, Alireza Bosaghzadeh

Multim. Tools Appl., May, 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., March, 2023

Inductive Multi-View Semi-supervised Learning with a Consensus Graph.

Najmeh Ziraki, Alireza Bosaghzadeh, Fadi Dornaika, Zoulfikar Ibrahim, Nagore Barrena

Cogn. Comput., 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

Proceedings of the International Conference on Computer and Applications, 2023

2022

Multiple-view flexible semi-supervised classification through consistent graph construction and label propagation.

Najmeh Ziraki, Fadi Dornaika, Alireza Bosaghzadeh

Neural Networks, 2022

2021

Joint auto-weighted graph fusion and scalable semi-supervised learning.

Saeedeh Bahrami, Fadi Dornaika, Alireza Bosaghzadeh

Inf. Fusion, 2021

2020

Feature extraction from null and non-null spaces of kernel local discriminant embedding.

Alireza Bosaghzadeh, Fadi Dornaika

Knowl. Inf. Syst., 2020

Incremental and dynamic graph construction with application to image classification.

Alireza Bosaghzadeh, Fadi Dornaika

Expert Syst. Appl., 2020

2019

Multi Similarity Metric Fusion in Graph-Based Semi-Supervised Learning.

Saeedeh Bahrami, Alireza Bosaghzadeh, Fadi Dornaika

Comput., 2019

Adaptive Hybrid Representation for Graph-Based Semi-supervised Classification.

Fadi Dornaika, Alireza Bosaghzadeh

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

2017

Graph construction using adaptive Local Hybrid Coding scheme.

Fadi Dornaika, Mahdi Tavassoli Kejani, Alireza Bosaghzadeh

Neural Networks, 2017

Efficient dynamic graph construction for inductive semi-supervised learning.

Fadi Dornaika, R. Dahbi, Alireza Bosaghzadeh, Yassine Ruichek

Neural Networks, 2017

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

Adaptive graph construction using data self-representativeness for pattern classification.

Fadi Dornaika, Alireza Bosaghzadeh

Inf. Sci., 2015

Multi-observation face recognition in videos based on label propagation.

Bogdan Raducanu, Alireza Bosaghzadeh, Fadi Dornaika

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

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

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

Locality Constrained Encoding Graph Construction and Application to Outdoor Object Classification.

Fadi Dornaika, Alireza Bosaghzadeh, Houssam Salmane, Yassine Ruichek

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Two Subspace-Based Kernel Local Discriminant Embedding.

Fadi Dornaika, Alireza Bosaghzadeh

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

Exponential Local Discriminant Embedding and Its Application to Face Recognition.

Fadi Dornaika, Alireza Bosaghzadeh

IEEE Trans. Cybern., 2013

Parameterless Local Discriminant Embedding.

Alireza Bosaghzadeh, Abdelmalik Moujahid, Fadi Dornaika

Neural Process. Lett., 2013

On Solving the Small Sample Size Problem for Marginal Fisher Analysis.

Fadi Dornaika, Alireza Bosaghzadeh

Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

Efficient Graph Construction for Label Propagation Based Multi-observation Face Recognition.

Fadi Dornaika, Alireza Bosaghzadeh, Bogdan Raducanu

Proceedings of the Human Behavior Understanding - 4th International Workshop, 2013

2012

Generalized Local Discriminant Embedding for Face Recognition.

Fadi Dornaika, Alireza Bosaghzadeh

Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012

2011

A Parameter-Free Locality Sensitive Discriminant Analysis and Its Application to Coarse 3D Head Pose Estimation.

Alireza Bosaghzadeh, Fadi Dornaika

Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

Combining Linear Dimensionality Reduction and Locality Preserving Projections with Feature Selection for Recognition Tasks.

Fadi Dornaika, Ammar Assoum, Alireza Bosaghzadeh

Proceedings of the Advances Concepts for Intelligent Vision Systems, 2011