World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6579
World Ranking
11131
National Ranking
336

Overview

Brijesh Verma is affiliated with Central Queensland University in Australia and specializes in computer science, with a significant focus on computer vision and pattern recognition. Their research portfolio spans 54 publications within this primary field, reflecting a consistent engagement with topics related to advanced neural network applications and machine learning techniques.

Their work covers several key areas including:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Face and Expression Recognition
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Machine Learning and Data Classification
  • Metaheuristic Optimization Algorithms Research

Brijesh Verma has contributed research papers published in journals and conferences such as:

  • Autonomous deep feature extraction based method for epileptic EEG brain seizure classification, 2021, Neurocomputing
  • Single class detection-based deep learning approach for identification of road safety attributes, 2021, Neural Computing and Applications
  • Multiple strong and balanced cluster-based ensemble of deep learners, 2020, Pattern Recognition
  • A non-specialized ensemble classifier using multi-objective optimization, 2020, Neurocomputing
  • Prediction of Students' Performance in e-Learning Environment using Data Mining/ Machine Learning Techniques, 2021, Journal of University of Shanghai for Science and Technology

Frequent coauthors associated with Brijesh Verma include:

  • Basim Azam (11 collaborations)
  • Ranju Mandal (6 collaborations)
  • Pubudu Sanjeewani (5 collaborations)
  • Ashfaqur Rahman (5 collaborations)
  • Lipo Wang (5 collaborations)

The researcher has regularly published in venues such as:

  • IEEE Access (3 publications)
  • Neurocomputing (2 publications)
  • Information Sciences (2 publications)
  • 2022 IEEE Symposium Series on Computational Intelligence (SSCI) (2 publications)
  • arXiv (Cornell University) (2 publications)

Best Publications

  • Facial Expression Analysis under Partial Occlusion: A Survey

    Ligang Zhang;Brijesh Verma;Dian Tjondronegoro;Vinod Chandran

  • A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques

    B. Verma;J. Zakos

  • A novel feature extraction technique for the recognition of segmented handwritten characters

    M. Blumenstein;B. Verma;H. Basli

  • On-Tree Mango Fruit Size Estimation Using RGB-D Images

    Zhenglin Wang;Kerry B. Walsh;Brijesh K. Verma

  • Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection

    Ping Zhang;Brijesh Verma;Kuldeep Kumar

  • Monthly Rainfall Forecasting Using One-Dimensional Deep Convolutional Neural Network

    Ali Haidar;Brijesh Verma

  • Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer

    Brijesh Verma;Peter McLeod;Alan Klevansky

  • A modified direction feature for cursive character recognition

    M. Blumenstein;X.Y. Liu;B. Verma

  • Cluster-Oriented Ensemble Classifier: Impact of Multicluster Characterization on Ensemble Classifier Learning

    B. Verma;A. Rahman

  • Fast training of multilayer perceptrons

    B. Verma

  • Impact of Automatic Feature Extraction in Deep Learning Architecture

    Fatma Shaheen;Brijesh Verma;Md. Asafuddoula

  • A novel neural-genetic algorithm to find the most significant combination of features in digital mammograms

    Brijesh Verma;Ping Zhang

  • Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers

    A Rahman;B Verma

  • A Neural Network based Technique for Automatic Classification of Road Cracks

    J. Bray;B. Verma;Xue Li;Wade He

  • A novel soft cluster neural network for the classification of suspicious areas in digital mammograms

    Brijesh Verma;Peter McLeod;Alan Klevansky

  • An investigation of the modified direction feature for cursive character recognition

    Michael Blumenstein;Xin Yu Liu;Brijesh Verma

  • Handwritten Hindi character recognition using multilayer perceptron and radial basis function neural networks

    B.K. Verma

  • Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm

    Ashfaqur Rahman;Brijesh Verma

  • Fusion of multiple handwritten word recognition techniques

    Brijesh K. Verma;Paul D. Gader;Wen-Tsong Chen

  • Binary segmentation algorithm for English cursive handwriting recognition

    Hong Lee;Brijesh Verma

Frequent Co-Authors

Michael Blumenstein
Michael Blumenstein University of Technology Sydney
Mengjie Zhang
Mengjie Zhang Victoria University of Wellington
Xin Yao
Xin Yao Lingnan University
Kerry B. Walsh
Kerry B. Walsh Central Queensland University
Paul D. Gader
Paul D. Gader University of Florida
Xue Li
Xue Li University of Queensland
Vinod Chandran
Vinod Chandran Queensland University of Technology
Kenji Doya
Kenji Doya Okinawa Institute of Science and Technology
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Sabri Arik
Sabri Arik Istanbul University

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