Marcus Gallagher

Orcid: 0000-0002-6694-9572

Affiliations:
  • University of Queensland, School of Information Technology and Electrical Engineering, St. Lucia, QLD, Australia


According to our database1, Marcus Gallagher authored at least 100 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Benchmarking the benchmark - Comparing synthetic and real-world Network IDS datasets.
J. Inf. Secur. Appl., February, 2024

Feature extraction for machine learning-based intrusion detection in IoT networks.
Digit. Commun. Networks, 2024

Whole-Body Dynamic Throwing with Legged Manipulators.
CoRR, 2024

Analyzing the Runtime of the Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) on the Concatenated Trap Function.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Searching for Benchmark Problem Instances from Data-Driven Optimisation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Towards an Improved Understanding of Features for More Interpretable Landscape Analysis.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Guest Editorial: Special Issue on Evolutionary Computation for Games.
IEEE Trans. Games, March, 2023

From zero-shot machine learning to zero-day attack detection.
Int. J. Inf. Sec., 2023

Towards Understanding the Link Between Modularity and Performance in Neural Networks for Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Modularity Based Linkage Model For Neuroevolution.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
An Agile New Research Framework for Hybrid Human-AI Teaming: Trust, Transparency, and Transferability.
ACM Trans. Interact. Intell. Syst., 2022

Using regression models for characterizing and comparing black box optimization problems.
Swarm Evol. Comput., 2022

Modularity in NEAT Reinforcement Learning Networks.
CoRR, 2022

Approximate discounting-free policy evaluation from transient and recurrent states.
CoRR, 2022

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

Pittsburgh learning classifier systems for explainable reinforcement learning: comparing with XCS.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Graph Neural Network-based Android Malware Classification with Jumping Knowledge.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

Examining Average and Discounted Reward Optimality Criteria in Reinforcement Learning.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
A nearly Blackwell-optimal policy gradient method.
CoRR, 2021

Benchmarking the Benchmark - Analysis of Synthetic NIDS Datasets.
CoRR, 2021

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System.
CoRR, 2021

A genetic fuzzy system for interpretable and parsimonious reinforcement learning policies.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Network Analysis and Visualisation of Opioid Prescribing Data.
IEEE J. Biomed. Health Informatics, 2020

Considerations for selecting a machine learning technique for predicting deforestation.
Environ. Model. Softw., 2020

Average-reward model-free reinforcement learning: a systematic review and literature mapping.
CoRR, 2020

Fitness Landscape Features and Reward Shaping in Reinforcement Learning Policy Spaces.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Optimality-Based Analysis of XCSF Compaction in Discrete Reinforcement Learning.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

A Novel Mutation Operator for Variable Length Algorithms.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

An Implementation and Experimental Evaluation of a Modularity Explicit Encoding Method for Neuroevolution on Complex Learning Tasks.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019
Quantitative measure of nonconvexity for black-box continuous functions.
Inf. Sci., 2019

Direct Feature Evaluation in Black-Box Optimization Using Problem Transformations.
Evol. Comput., 2019

Richer priors for infinitely wide multi-layer perceptrons.
CoRR, 2019

Exchangeability and Kernel Invariance in Trained MLPs.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Exploring the MLDA benchmark on the nevergrad platform.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Fitness Landscape Analysis in Data-Driven Optimization: An Investigation of Clustering Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Reversible Jump Probabilistic Programming.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
The importance of implementation details and parameter settings in black-box optimization: a case study on Gaussian estimation-of-distribution algorithms and circles-in-a-square packing problems.
Soft Comput., 2018

A Model-Based Framework for Black-Box Problem Comparison Using Gaussian Processes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018


Invariance of Weight Distributions in Rectified MLPs.
Proceedings of the 35th International Conference on Machine Learning, 2018

Flood-Fill Q-Learning Updates for Learning Redundant Policies in Order to Interact with a Computer Screen by Clicking.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Intra-task Curriculum Learning for Faster Reinforcement Learning in Video Games.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Analysing and characterising optimization problems using length scale.
Soft Comput., 2017

Use of freely available datasets and machine learning methods in predicting deforestation.
Environ. Model. Softw., 2017

Parallel evolutionary algorithm for single and multi-objective optimisation: Differential evolution and constraints handling.
Appl. Soft Comput., 2017

Exploratory Analysis of Clustering Problems Using a Comparison of Particle Swarm Optimization and Differential Evolution.
Proceedings of the Artificial Life and Computational Intelligence, 2017

2016
Towards improved benchmarking of black-box optimization algorithms using clustering problems.
Soft Comput., 2016

2015
A Stochastic Process Model of Classical Search.
CoRR, 2015

Detecting Anomalies in Controlled Drug Prescription Data Using Probabilistic Models.
Proceedings of the Artificial Life and Computational Intelligence, 2015

2014
Sampling Techniques and Distance Metrics in High Dimensional Continuous Landscape Analysis: Limitations and Improvements.
IEEE Trans. Evol. Comput., 2014

Detecting contaminated birthdates using generalized additive models.
BMC Bioinform., 2014

Fitness Landscape Analysis of Circles in a Square Packing Problems.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A Modified Screening Estimation of Distribution Algorithm for Large-Scale Continuous Optimization.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Clustering Problems for More Useful Benchmarking of Optimization Algorithms.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

2013
Parameter-Free Search of Time-Series Discord.
J. Comput. Sci. Technol., 2013

The turing test track of the 2012 Mario AI Championship: Entries and evaluation.
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

2012
Introducing Cloud Computing Topics in Curricula.
J. Inf. Syst. Educ., 2012

Using Landscape Topology to Compare Continuous Metaheuristics: A Framework and Case Study on EDAs and Ridge Structure.
Evol. Comput., 2012

Length Scale for Characterising Continuous Optimization Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Beware the Parameters: Estimation of Distribution Algorithms Applied to Circles in a Square Packing.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Interactively training first person shooter bots.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

Variable screening for reduced dependency modelling in Gaussian-based continuous Estimation of Distribution Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Game Designers Training First Person Shooter Bots.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Reinforcement Learning in First Person Shooter Games.
IEEE Trans. Comput. Intell. AI Games, 2011

Faster and Parameter-Free Discord Search in Quasi-Periodic Time Series.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2010
Using Gaussian Process with Test Rejection to Detect T-Cell Epitopes in Pathogen Genomes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010

When Does Dependency Modelling Help? Using a Randomized Landscape Generator to Compare Algorithms in Terms of Problem Structure.
Proceedings of the Parallel Problem Solving from Nature, 2010

Unsupervised DRG Upcoding Detection in Healthcare Databases.
Proceedings of the ICDMW 2010, 2010

2009
An improved small-sample statistical test for comparing the success rates of evolutionary algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Convergence analysis of UMDA<sub>C</sub> with finite populations: a case study on flat landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noisy function testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
An empirical study of the sample size variability of optimal active learning using Gaussian process regression.
Proceedings of the International Joint Conference on Neural Networks, 2008

An influence map model for playing Ms. Pac-Man.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

Creating a multi-purpose first person shooter bot with reinforcement learning.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

Learning to be a Bot: Reinforcement Learning in Shooter Games.
Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference, 2008

2007
Combining Meta-EAs and Racing for Difficult EA Parameter Tuning Tasks.
Proceedings of the Parameter Setting in Evolutionary Algorithms, 2007

An agent based approach to examining shared situation awareness.
Proceedings of the 12th International Conference on Engineering of Complex Computer Systems (ICECCS 2007), 2007

Evolving Pac-Man Players: Can We Learn from Raw Input?
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

Bayesian inference in estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
A general-purpose tunable landscape generator.
IEEE Trans. Evol. Comput., 2006

A Mathematical Modelling Technique for the Analysis of the Dynamics of a Simple Continuous EDA.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift.
Evol. Comput., 2005

An Empirical Study of Hoeffding Racing for Model Selection in k-Nearest Neighbor Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependencies.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

On the importance of diversity maintenance in estimation of distribution algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

A hybrid approach to parameter tuning in genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 2004

Machine Learning for Matching Astronomy Catalogues.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003
Visualization of learning in multilayer perceptron networks using principal component analysis.
IEEE Trans. Syst. Man Cybern. Part B, 2003

On building a principled framework for evaluating and testing evolutionary algorithms: a continuous landscape generator.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Playing in continuous spaces: some analysis and extension of population-based incremental learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

Learning to play Pac-Man: an evolutionary, rule-based approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
Empirical Evidence for Ultrametric Structure in Multi layer Perceptron Error Surfaces.
Neural Process. Lett., 2002

2001
Fitness Distance Correlation of Neural Network Error Surfaces: A Scalable, Continuous Optimization Problem.
Proceedings of the Machine Learning: EMCL 2001, 2001

2000
Multi-layer perceptron error surfaces: visualization, structure and modelling
PhD thesis, 2000

1999
Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999


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