World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
9290
World Ranking
11455
National Ranking
345

Overview

Bogdan Gabrys is affiliated with the University of Technology Sydney in Australia. Their research primarily spans the field of Computer Science with a focus on Artificial Intelligence, Statistical and Nonlinear Physics, Molecular Biology, Control and Systems Engineering, and Computer Vision and Pattern Recognition.

The main topics addressed in their work include:

  • Complex Network Analysis Techniques
  • Machine Learning and Data Classification
  • Data Stream Mining Techniques
  • Advanced Graph Neural Networks
  • Neural Networks and Applications
  • Machine Learning and Algorithms
  • Viral Infectious Diseases and Gene Expression in Insects

Gabrys has published numerous papers, including recent works such as:

  • "Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey" (2021, IEEE Access)
  • "NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size" (2021, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • "Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities" (2024, Computers & Chemical Engineering)
  • "Toward Digital Twin Oriented Modeling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey" (2022, IEEE Access)
  • "Forty years of computers & chemical engineering: A bibliometric analysis" (2020, Computers & Chemical Engineering)

Their frequent coauthors include:

  • Katarzyna Musiał (43 co-authored works)
  • Thanh Tung Khuat (23 co-authored works)
  • David Jacob Kedziora (16 co-authored works)
  • Mingshan Jia (12 co-authored works)
  • Jiaqi Wen (7 co-authored works)

Gabrys publishes regularly in venues such as:

  • arXiv (Cornell University) with 28 publications
  • IEEE Access with 6 publications
  • PLoS ONE with 5 publications
  • Applied Soft Computing with 3 publications
  • Computers & Chemical Engineering with 2 publications

Best Publications

  • Data-driven Soft Sensors in the process industry

    Petr Kadlec;Bogdan Gabrys;Sibylle Strandt

  • Classifier selection for majority voting

    Dymitr Ruta;Bogdan Gabrys

  • Review of adaptation mechanisms for data-driven soft sensors

    Petr Kadlec;Ratko Grbić;Bogdan Gabrys

  • An Overview of Classifier Fusion Methods

    Dymitr Ruta;Bogdan Gabrys

  • General fuzzy min-max neural network for clustering and classification

    B. Gabrys;A. Bargiela

  • Metalearning: a survey of trends and technologies

    Christiane Lemke;Marcin Budka;Bogdan Gabrys

  • Meta-learning for time series forecasting and forecast combination

    Christiane Lemke;Bogdan Gabrys

  • Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey

    Joakim Skarding;Bogdan Gabrys;Katarzyna Musial

  • Local learning‐based adaptive soft sensor for catalyst activation prediction

    Petr Kadlec;Bogdan Gabrys

  • The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence

    Hongmei He;Carsten Maple;Tim Watson;Ashutosh Tiwari

  • NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size.

    Xuanyi Dong;Lu Liu;Katarzyna Musial;Bogdan Gabrys

  • Genetic algorithms in classifier fusion

    Bogdan Gabrys;Dymitr Ruta

  • Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction

    Hongxu Chen;Hongzhi Yin;Xiangguo Sun;Tong Chen

  • Next challenges for adaptive learning systems

    Indre Zliobaite;Albert Bifet;Mohamed Gaber;Bogdan Gabrys

  • A Theoretical Analysis of the Limits of Majority Voting Errors for Multiple Classifier Systems

    Dymitr Ruta;Bogdan Gabrys

  • Analysis of the Correlation Between Majority Voting Error and the Diversity Measures in Multiple Classifier Systems

    Dymitr Ruta;Bogdan Gabrys

  • Adaptive Preprocessing for Streaming Data

    Indre Zliobaite;Bogdan Gabrys

  • Neuro-fuzzy approach to processing inputs with missing values in pattern recognition problems

    Bogdan Gabrys

  • Combining labelled and unlabelled data in the design of pattern classification systems

    Bogdan Gabrys;Lina Petrakieva

  • Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting

    Dymitr Ruta;Bogdan Gabrys

  • Adaptive community detection incorporating topology and content in social networks

    Meng Qin;Di Jin;Kai Lei;Bogdan Gabrys

Frequent Co-Authors

Emilio Corchado
Emilio Corchado University of Salamanca
Hongzhi Yin
Hongzhi Yin University of Queensland
Mohamed Medhat Gaber
Mohamed Medhat Gaber Birmingham City University
José M. Merigó
José M. Merigó University of Technology Sydney
Yaochu Jin
Yaochu Jin Westlake University
Ashutosh Tiwari
Ashutosh Tiwari University of Utah
Diganta Bhusan Das
Diganta Bhusan Das Loughborough University
Darek Ceglarek
Darek Ceglarek University of Warwick
Stefan K. Bohlander
Stefan K. Bohlander University of Auckland
Alexander M. Korsunsky
Alexander M. Korsunsky University of Oxford

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