World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
2983
World Ranking
14181
National Ranking
421

Best Publications

  • E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT.

    Wai Weng Lo;Siamak Layeghy;Mohanad Sarhan;Marcus Gallagher

  • Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks.

    Mohanad Sarhan;Siamak Layeghy;Nour Moustafa;Marcus Gallagher

  • General cost functions for support vector regression.

    AJ Smola;B Schölkopf;K-R Müller;T. Downs

  • A general-purpose tunable landscape generator

    M. Gallagher;Bo Yuan

  • Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA

    Bo Yuan;M. Gallagher

  • Real-valued evolutionary optimization using a flexible probability density estimator

    Marcus Gallagher;Marcus Frean;Tom Downs

  • Learning to play Pac-Man: an evolutionary, rule-based approach

    M. Gallagher;A. Ryan

  • On the importance of diversity maintenance in estimation of distribution algorithms

    Bo Yuan;Marcus Gallagher

  • Statistical racing techniques for improved empirical evaluation of evolutionary algorithms

    Bo Yuan;Marcus Gallagher

  • Intelligent Data Engineering and Automated Learning - IDEAL 2005

    Marcus Gallagher;James P. Hogan;Frederic Maire

  • From zero-shot machine learning to zero-day attack detection

    Unknown

  • Reinforcement Learning in First Person Shooter Games

    Michelle McPartland;Marcus Gallagher

  • Multi-layer Perceptron Error Surfaces: Visualization, Structure and Modelling

    Marcus Reginald Gallagher

  • Playing in continuous spaces: some analysis and extension of population-based incremental learning

    Bo Yuan;M. Gallagher

  • An influence map model for playing Ms. Pac-Man

    N. Wirth;M. Gallagher

  • Sampling Techniques and Distance Metrics in High Dimensional Continuous Landscape Analysis: Limitations and Improvements

    Rachael Morgan;Marcus Gallagher

  • Visualization of learning in multilayer perceptron networks using principal component analysis

    M. Gallagher;T. Downs

  • Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks

    Bo Yuan;Marcus Gallagher

  • Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift

    Marcus Gallagher;Marcus Frean

  • Use of freely available datasets and machine learning methods in predicting deforestation

    Helen Mayfield;Carl Smith;Marcus Gallagher;Marc Hockings

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