World's Best Scientists 2026 revealed!

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Computer Science

D-Index
45
Citations
9908
World Ranking
7123
National Ranking
28

Overview

Yakoub Bazi is affiliated with King Saud University in Saudi Arabia and has a research focus centered on remote sensing and image analysis. Their work spans key fields such as Computer Science and Engineering, with specific contributions to subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging, and Atmospheric Science.

The main topics in Yakoub Bazi's research include:

  • Advanced Image and Video Retrieval Techniques
  • Remote-Sensing Image Classification
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Remote Sensing and Land Use
  • Image Retrieval and Classification Techniques
  • COVID-19 diagnosis using AI

Yakoub Bazi has contributed to several peer-reviewed publications, with notable recent papers including:

  • "Vision Transformers for Remote Sensing Image Classification," 2021, published in Remote Sensing
  • "Bi-Modal Transformer-Based Approach for Visual Question Answering in Remote Sensing Imagery," 2022, published in IEEE Transactions on Geoscience and Remote Sensing

Additionally, their frequent co-authors feature researchers such as Mohamad Mahmoud Al Rahhal, Mansour Zuair, Naif Alajlan, Haikel Alhichri, and Laila Bashmal.

Their work appears in key publication venues that include:

  • Remote Sensing
  • Applied Sciences
  • International Journal of Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Yakoub Bazi's research showcases a blend of practical and theoretical approaches in applying machine learning, particularly transformers and convolutional neural networks, to remote sensing image classification, detection, and matching tasks. Their contributions involve exploring multimodal methods and domain adaptation strategies to address challenges in remote sensing imagery analysis.

Best Publications

  • An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images

    Y. Bazi;L. Bruzzone;F. Melgani

  • Deep learning approach for active classification of electrocardiogram signals

    M.M. Al Rahhal;Yakoub Bazi;Haikel AlHichri;Naif Alajlan

  • Classification of Electrocardiogram Signals With Support Vector Machines and Particle Swarm Optimization

    F. Melgani;Y. Bazi

  • Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images

    Y. Bazi;F. Melgani

  • Vision Transformers for Remote Sensing Image Classification

    Yakoub Bazi;Laila Bashmal;Mohamad Mahmoud Al Rahhal;Reham Al Dayil

  • Deep Learning Approach for Car Detection in UAV Imagery

    Nassim Ammour;Haikel Salem Alhichri;Yakoub Bazi;Bilel Benjdira

  • Image thresholding based on the EM algorithm and the generalized Gaussian distribution

    Yakoub Bazi;Lorenzo Bruzzone;Farid Melgani

  • Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention

    Haikel Alhichri;Asma S. Alswayed;Yakoub Bazi;Nassim Ammour

  • One‐dimensional convolutional neural networks for spectroscopic signal regression

    Salim Malek;Farid Melgani;Yakoub Bazi

  • Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

    Bilel Benjdira;Yakoub Bazi;Anis Koubaa;Kais Ouni

  • Unsupervised Change Detection in Multispectral Remotely Sensed Imagery With Level Set Methods

    Yakoub Bazi;Farid Melgani;Hamed D Al-Sharari

  • Domain Adaptation Network for Cross-Scene Classification

    Esam Othman;Yakoub Bazi;Farid Melgani;Haikel Alhichri

  • Using convolutional features and a sparse autoencoder for land-use scene classification

    Esam Othman;Yakoub Bazi;Naif Alajlan;Haikel Alhichri

  • Gaussian Process Approach to Remote Sensing Image Classification

    Y. Bazi;F. Melgani

  • Convolutional SVM Networks for Object Detection in UAV Imagery

    Yakoub Bazi;Farid Melgani

  • Differential Evolution Extreme Learning Machine for the Classification of Hyperspectral Images

    Yakoub Bazi;Naif Alajlan;Farid Melgani;Haikel AlHichri

  • Efficient Framework for Palm Tree Detection in UAV Images

    Salim Malek;Yakoub Bazi;Naif Alajlan;Haikel AlHichri

  • Automatic identification of the number and values of decision thresholds in the log-ratio image for change detection in SAR images

    Y. Bazi;L. Bruzzone;F. Melgani

  • Convolutional Neural Networks for Electrocardiogram Classification

    Mohamad M. Al Rahhal;Yakoub Bazi;Mansour Al Zuair;Esam Othman

  • Semisupervised PSO-SVM Regression for Biophysical Parameter Estimation

    Y. Bazi;F. Melgani

  • Fusion of supervised and unsupervised learning for improved classification of hyperspectral images

    Naif Alajlan;Yakoub Bazi;Farid Melgani;Ronald R. Yager

Frequent Co-Authors

Naif Alajlan
Naif Alajlan King Saud University
Farid Melgani
Farid Melgani University of Trento
Ronald R. Yager
Ronald R. Yager Iona University
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Vladimir V. Lukin
Vladimir V. Lukin National Aerospace University – Kharkiv Aviation Institute

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