Simple addition to back-propagation learning for dynamic weight pruning, sparse network extraction and faster learning. - Malcolm I. Heywood; Peter Noakes (ICNN, 1993)

A practical framework for training sigma-pi neural networks with an application in rotation invariant pattern recognition. - Malcolm I. Heywood (1994)

A framework for improved training of Sigma-Pi networks. - Malcolm I. Heywood; Peter Noakes (IEEE Trans. Neural Networks, 1995)

Systems control for a micro-stereolithography prototype. - Shipping Huang; Malcolm I. Heywood; Rupert C. D. Young; Maria Farsari; Chris R. Chatwin (Microprocess. Microsystems, 1998)

Real-time digital-optical correlator-systems design. - David Budgett; Malcolm I. Heywood; Rupert C. D. Young; Chris R. Chatwin; Shipping Huang; Philip Birch; Maria Farsari; Chris D. Bradfield (Microprocess. Microsystems, 1999)

Register Based Genetic Programming on FPGA Computing Platforms. - Malcolm I. Heywood; Nur Zincir-Heywood (EuroGP, 2000)

Reconfigurable computing implementation of binary morphological operators using 4-, 6- and 8-connectivity. - H. M. Talu; E. Igci; M. E. Tekin; H. S. Sevtekin; B. Ç. Genç; Malcolm I. Heywood (ICASSP, 2000)

Continuous Optimal Controllers Using Hierarchical Mixtures of Experts. - V. Paraskevopoulos; Chris R. Chatwin; Malcolm I. Heywood (IJCNN (4), 2000)

Page-based linear genetic programming. - Malcolm I. Heywood; Ayse Nur Zincir-Heywood (SMC, 2000)

Heterogeneous Digital Library Query Platform Using a Truly Distributed Multi-Agent Search. - Nur Zincir-Heywood; Malcolm I. Heywood; Chris R. Chatwin; Turhan Tunali (Int. J. Cooperative Inf. Syst., 2000)

Digital library query clearing using clustering and fuzzy decision-making. - Malcolm I. Heywood; Nur Zincir-Heywood; Chris R. Chatwin (Inf. Process. Manag., 2000)

Negotiating Agents in Manufacturing Decision Making Processes. - Pouwan Lei; Malcolm I. Heywood; Chris R. Chatwin (E-Commerce Agents, 2001)

The effect of routing under local information using a social insect metaphor. - Suiliong Liang; Nur Zincir-Heywood; Malcolm I. Heywood (IEEE Congress on Evolutionary Computation, 2002)

Intelligent Packets For Dynamic Network Routing Using Distributed Genetic Algorithm. - Suihong Liang; Nur Zincir-Heywood; Malcolm I. Heywood (GECCO, 2002)

Object-Orientated Design of Digital Library Platforms for Multiagent Environments. - Nur Zincir-Heywood; Malcolm I. Heywood; Chris R. Chatwin (IEEE Trans. Knowl. Data Eng., 2002)

Dynamic page based crossover in linear genetic programming. - Malcolm I. Heywood; Nur Zincir-Heywood (IEEE Trans. Syst. Man Cybern. Part B, 2002)

A Linear Genetic Programming Approach to Intrusion Detection. - Dong Song; Malcolm I. Heywood; Nur Zincir-Heywood (GECCO, 2003)

"Freecell" neural network heuristics. - Alphonsus Dunphy; Malcolm I. Heywood (IJCNN, 2003)

Predicting intrusions with local linear models. - PingZhao Hu; Malcolm I. Heywood (IJCNN, 2003)

On the capability of an SOM based intrusion detection system. - Hilmi Günes Kayacik; Ayse Nur Zincir-Heywood; Malcolm I. Heywood (IJCNN, 2003)

The self-organization by lateral inhibition model: validation of clustering. - Bin Tang; Malcolm I. Heywood; Michael A. Shepherd (IJCNN, 2003)

Towards Efficient Training on Large Datasets for Genetic Programming. - Robert Curry; Malcolm I. Heywood (Canadian AI, 2004)

Cascaded GP models for data mining. - Peter Lichodzijewski; Malcolm I. Heywood; Nur Zincir-Heywood (IEEE Congress on Evolutionary Computation, 2004)

On Dataset Biases in a Learning System with Minimum A Priori Information for Intrusion Detection. - Hilmi Günes Kayacik; Nur Zincir-Heywood; Malcolm I. Heywood (CNSR, 2004)

Toward Glaucoma Classification with Moment Methods. - Andrew R. McIntyre; Malcolm I. Heywood; Paul Habib Artes; Syed Sibte Raza Abidi (CRV, 2004)

On Multi-class Classification by Way of Niching. - Andrew R. McIntyre; Malcolm I. Heywood (GECCO (2), 2004)

On Naïve Crossover Biases with Reproduction for Simple Solutions to Classification Problems. - M. David Terrio; Malcolm I. Heywood (GECCO (2), 2004)

Resource Review: Three Open Source Systems for Evolving Programs-Lilgp, ECJ and Grammatical Evolution. - Garnett Carl Wilson; Andrew R. McIntyre; Malcolm I. Heywood (Genet. Program. Evolvable Mach., 2004)

Evolving Successful Stack Overflow Attacks for Vulnerability Testing. - Hilmi Günes Kayacik; Nur Zincir-Heywood; Malcolm I. Heywood (ACSAC, 2005)

Comparing Dimension Reduction Techniques for Document Clustering. - Bin Tang; Michael A. Shepherd; Malcolm I. Heywood; Xiao Luo 002 (Canadian AI, 2005)

Automated Optic Nerve Analysis for Diagnostic Support in Glaucoma. - Jin Yu; Syed Sibte Raza Abidi; Paul Habib Artes; Andrew R. McIntyre; Malcolm I. Heywood (CBMS, 2005)

CasGP: building cascaded hierarchical models using niching. - Peter Lichodzijewski; Malcolm I. Heywood; Nur Zincir-Heywood (Congress on Evolutionary Computation, 2005)

Toward co-evolutionary training of a multi-class classifier. - Andrew R. McIntyre; Malcolm I. Heywood (Congress on Evolutionary Computation, 2005)

Context-Based Repeated Sequences in Linear Genetic Programming. - Garnett Carl Wilson; Malcolm I. Heywood (EuroGP, 2005)

Evolving recurrent models using linear GP. - Xiao Luo 002; Malcolm I. Heywood; Nur Zincir-Heywood (GECCO, 2005)

Use of a genetic algorithm in brill's transformation-based part-of-speech tagger. - Garnett Carl Wilson; Malcolm I. Heywood (GECCO, 2005)

Evaluation of cluster combination functions for mixture of experts. - Robert Redhead; Malcolm I. Heywood (IJCNN, 2005)

Training the SOFM efficiently: an example from intrusion detection. - Leigh Wetmore; Ayse Nur Zincir-Heywood; Malcolm I. Heywood (IJCNN, 2005)

Diagnostic Support for Glaucoma Using Retinal Images: A Hybrid Image Analysis and Data Mining Approach. - Jin Yu; Syed Sibte Raza Abidi; Paul Habib Artes; Andy McIntyre; Malcolm I. Heywood (MIE, 2005)

Selecting Features for Intrusion Detection: A Feature Relevance Analysis on KDD 99. - Hilmi Günes Kayacik; Nur Zincir-Heywood; Malcolm I. Heywood (PST, 2005)

Speeding up the Self-Organizing Feature Map Using Dynamic Subset Selection. - Leigh Wetmore; Malcolm I. Heywood; Nur Zincir-Heywood (Neural Process. Lett., 2005)

Training genetic programming on half a million patterns: an example from anomaly detection. - Dong Song; Malcolm I. Heywood; Nur Zincir-Heywood (IEEE Trans. Evol. Comput., 2005)

Probabilistic (Genotype) Adaptive Mapping Combinations for Developmental Genetic Programming. - Garnett Carl Wilson; Malcolm I. Heywood (IEEE Congress on Evolutionary Computation, 2006)

Improving GP classifier generalization using a cluster separation metric. - Ashley George; Malcolm I. Heywood (GECCO, 2006)

On evolving buffer overflow attacks using genetic programming. - Hilmi Günes Kayacik; Malcolm I. Heywood; Nur Zincir-Heywood (GECCO, 2006)

Pareto-coevolutionary genetic programming classifier. - Michal Lemczyk; Malcolm I. Heywood (GECCO, 2006)

MOGE: GP classification problem decomposition using multi-objective optimization. - Andrew R. McIntyre; Malcolm I. Heywood (GECCO, 2006)

Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP): A New Developmental Approach. - Garnett Carl Wilson; Malcolm I. Heywood (PPSN, 2006)

Adding more intelligence to the network routing problem: AntNet and Ga-agents. - Suihong Liang; Nur Zincir-Heywood; Malcolm I. Heywood (Appl. Soft Comput., 2006)

Automatically Evading IDS Using GP Authored Attacks. - Hilmi Günes Kayacik; Nur Zincir-Heywood; Malcolm I. Heywood (CISDA, 2007)

Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach. - Michal Lemczyk; Malcolm I. Heywood (EuroGP, 2007)

GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions. - Peter Lichodzijewski; Malcolm I. Heywood (EuroGP, 2007)

Evolving Buffer Overflow Attacks with Detector Feedback. - Hilmi Günes Kayacik; Malcolm I. Heywood; Nur Zincir-Heywood (EvoWorkshops, 2007)

Pareto-coevolutionary genetic programming for problem decomposition in multi-class classification. - Peter Lichodzijewski; Malcolm I. Heywood (GECCO, 2007)

Learning recursive programs with cooperative coevolution of genetic code mapping and genotype. - Garnett Carl Wilson; Malcolm I. Heywood (GECCO, 2007)

One-class learning with multi-objective genetic programming. - Robert Curry; Malcolm I. Heywood (SMC, 2007)

Multi-objective competitive coevolution for efficient GP classifier problem decomposition. - Andrew R. McIntyre; Malcolm I. Heywood (SMC, 2007)

Growing recurrent self organizing map. - Ozge Yeloglu; Nur Zincir-Heywood; Malcolm I. Heywood (SMC, 2007)

A hierarchical SOM-based intrusion detection system. - Hilmi Günes Kayacik; Nur Zincir-Heywood; Malcolm I. Heywood (Eng. Appl. Artif. Intell., 2007)

Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings. - Garnett Carl Wilson; Malcolm I. Heywood (Genet. Program. Evolvable Mach., 2007)

Foundations for an intelligent business logic engine using genetic programming and RuleML-based services. - Garnett Carl Wilson; Malcolm I. Heywood (Int. J. Bus. Process. Integr. Manag., 2007)

Scaling Genetic Programming to Large Datasets Using Hierarchical Dynamic Subset Selection. - Robert Curry; Peter Lichodzijewski; Malcolm I. Heywood (IEEE Trans. Syst. Man Cybern. Part B, 2007)

GP Classification under Imbalanced Data sets: Active Sub-sampling and AUC Approximation. - John A. Doucette; Malcolm I. Heywood (EuroGP, 2008)

Cooperative Problem Decomposition in Pareto Competitive Classifier Models of Coevolution. - Andrew R. McIntyre; Malcolm I. Heywood (EuroGP, 2008)

Managing team-based problem solving with symbiotic bid-based genetic programming. - Peter Lichodzijewski; Malcolm I. Heywood (GECCO, 2008)

Coevolutionary bid-based genetic programming for problem decomposition in classification. - Peter Lichodzijewski; Malcolm I. Heywood (Genet. Program. Evolvable Mach., 2008)

Generating mimicry attacks using genetic programming: A benchmarking study. - Hilmi Günes Kayacik; Nur Zincir-Heywood; Malcolm I. Heywood; Stefan Burschka (CICS, 2009)

Optimizing anomaly detector deployment under evolutionary black-box vulnerability testing. - Hilmi Günes Kayacik; Nur Zincir-Heywood; Malcolm I. Heywood; Stefan Burschka (CISDA, 2009)

Evolving TCP/IP packets: A case study of port scans. - Patrick LaRoche; Nur Zincir-Heywood; Malcolm I. Heywood (CISDA, 2009)

An Investigation of Multi-objective Genetic Algorithms for Encrypted Traffic Identification. - Carlos Bacquet; Nur Zincir-Heywood; Malcolm I. Heywood (CISIS, 2009)

One-Class Genetic Programming. - Robert Curry; Malcolm I. Heywood (EuroGP, 2009)

Testing Detector Parameterization Using Evolutionary Exploit Generation. - Hilmi Günes Kayacik; Nur Zincir-Heywood; Malcolm I. Heywood; Stefan Burschka (EvoWorkshops, 2009)

Evolving Indirectly Represented Melodies with Corpus-Based Fitness Evaluation. - Jacek Wolkowicz; Malcolm I. Heywood; Vlado Keselj (EvoWorkshops, 2009)

Classifying SSH encrypted traffic with minimum packet header features using genetic programming. - Riyad Alshammari; Peter Lichodzijewski; Malcolm I. Heywood; Nur Zincir-Heywood (GECCO (Companion), 2009)

Benchmarking coevolutionary teaming under classification problems with large attribute spaces. - John A. Doucette; Peter Lichodzijewski; Malcolm I. Heywood (GECCO, 2009)

Evolutionary clustering with arbitrary subspaces. - Farzaneh Naghibi; Ali Vahdat; Malcolm I. Heywood (GECCO, 2009)

An analysis of clustering objectives for feature selection applied to encrypted traffic identification. - Carlos Bacquet; Nur Zincir-Heywood; Malcolm I. Heywood (IEEE Congress on Evolutionary Computation, 2010)

Bottom-up evolutionary subspace clustering. - Ali Vahdat; Malcolm I. Heywood; Nur Zincir-Heywood (IEEE Congress on Evolutionary Computation, 2010)

Novelty-Based Fitness: An Evaluation under the Santa Fe Trail. - John A. Doucette; Malcolm I. Heywood (EuroGP, 2010)

Symbiogenesis as a Mechanism for Building Complex Adaptive Systems: A Review. - Malcolm I. Heywood; Peter Lichodzijewski (EvoApplications (1), 2010)

Using Code Bloat to Obfuscate Evolved Network Traffic. - Patrick LaRoche; Nur Zincir-Heywood; Malcolm I. Heywood (EvoApplications (2), 2010)

Symbiosis, complexification and simplicity under GP. - Peter Lichodzijewski; Malcolm I. Heywood (GECCO, 2010)

Revisiting the Acrobot 'height' task: An example of efficient evolutionary policy search under an episodic goal seeking task. - John A. Doucette; Malcolm I. Heywood (IEEE Congress on Evolutionary Computation, 2011)

Genetic optimization and hierarchical clustering applied to encrypted traffic identification. - Carlos Bacquet; Nur Zincir-Heywood; Malcolm I. Heywood (CICS, 2011)

Exploring the state space of an application protocol: A case study of SMTP. - Patrick LaRoche; Nur Zincir-Heywood; Malcolm I. Heywood (CICS, 2011)

Can a good offense be a good defense? Vulnerability testing of anomaly detectors through an artificial arms race. - Hilmi Günes Kayacik; Nur Zincir-Heywood; Malcolm I. Heywood (Appl. Soft Comput., 2011)

Classification as Clustering: A Pareto Cooperative-Competitive GP Approach. - Andrew R. McIntyre; Malcolm I. Heywood (Evol. Comput., 2011)

Evolutionary computation as an artificial attacker: generating evasion attacks for detector vulnerability testing. - Hilmi Günes Kayacik; Nur Zincir-Heywood; Malcolm I. Heywood (Evol. Intell., 2011)

On run time libraries and hierarchical symbiosis. - Stephen Kelly; Peter Lichodzijewski; Malcolm I. Heywood (IEEE Congress on Evolutionary Computation, 2012)

Symbiotic evolutionary subspace clustering. - Ali Vahdat; Malcolm I. Heywood; Nur Zincir-Heywood (IEEE Congress on Evolutionary Computation, 2012)

Network Protocol Discovery and Analysis via Live Interaction. - Patrick LaRoche; Nur Zincir-Heywood; Malcolm I. Heywood (EvoApplications, 2012)

GP under streaming data constraints: a case for pareto archiving? - Aaron Atwater; Malcolm I. Heywood; Nur Zincir-Heywood (GECCO, 2012)

Hierarchical task decomposition through symbiosis in reinforcement learning. - John A. Doucette; Peter Lichodzijewski; Malcolm I. Heywood (GECCO, 2012)

Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces. - John A. Doucette; Andrew R. McIntyre; Peter Lichodzijewski; Malcolm I. Heywood (Genet. Program. Evolvable Mach., 2012)

Malicious Automatically Generated Domain Name Detection Using Stateful-SBB. - Fariba Haddadi; Hilmi Günes Kayacik; Nur Zincir-Heywood; Malcolm I. Heywood (EvoApplications, 2013)

On the Utility of Trading Criteria Based Retraining in Forex Markets. - Alexander Loginov; Malcolm I. Heywood (EvoApplications, 2013)

On GPU Based Fitness Evaluation with Decoupled Training Partition Cardinality. - Jazz Alyxzander Turner-Baggs; Malcolm I. Heywood (EvoApplications, 2013)

Benchmarking pareto archiving heuristics in the presence of concept drift: diversity versus age. - Aaron Atwater; Malcolm I. Heywood (GECCO, 2013)

On the impact of streaming interface heuristics on GP trading agents: an FX benchmarking study. - Alexander Loginov; Malcolm I. Heywood (GECCO, 2013)

Label free change detection on streaming data with cooperative multi-objective genetic programming. - Sara Rahimi; Andrew R. McIntyre; Malcolm I. Heywood; Nur Zincir-Heywood (GECCO (Companion), 2013)

Flat vs. symbiotic evolutionary subspace clusterings. - Ali Vahdat; Malcolm I. Heywood (GECCO (Companion), 2013)

Genotypic versus Behavioural Diversity for Teams of Programs under the 4-v-3 Keepaway Soccer Task. - Stephen Kelly; Malcolm I. Heywood (AAAI, 2014)

On Diversity, Teaming, and Hierarchical Policies: Observations from the Keepaway Soccer Task. - Stephen Kelly; Malcolm I. Heywood (EuroGP, 2014)

On Evolving Multi-agent FX Traders. - Alexander Loginov; Malcolm I. Heywood (EvoApplications, 2014)

On botnet behaviour analysis using GP and C4.5. - Fariba Haddadi; Dylan Runkel; Nur Zincir-Heywood; Malcolm I. Heywood (GECCO (Companion), 2014)

On the application of GP to streaming data classification tasks with label budgets. - Ali Vahdat; Aaron Atwater; Andrew R. McIntyre; Malcolm I. Heywood (GECCO (Companion), 2014)

On evolutionary subspace clustering with symbiosis. - Ali Vahdat; Malcolm I. Heywood (Evol. Intell., 2014)

Better trade exits for foreign exchange currency trading using FXGP. - Alexander Loginov; Garnett Carl Wilson; Malcolm I. Heywood (CEC, 2015)

Benchmarking Stream Clustering for Churn Detection in Dynamic Networks. - Serdar Baran Tatar; Andrew R. McIntyre; Nur Zincir-Heywood; Malcolm I. Heywood (Discovery Science, 2015)

Tapped Delay Lines for GP Streaming Data Classification with Label Budgets. - Ali Vahdat; Jillian Morgan; Andrew R. McIntyre; Malcolm I. Heywood; Nur Zincir-Heywood (EuroGP, 2015)

Knowledge Transfer from Keepaway Soccer to Half-field Offense through Program Symbiosis: Building Simple Programs for a Complex Task. - Stephen Kelly; Malcolm I. Heywood (GECCO, 2015)

Feature selection for robust backscatter DDoS detection. - Eray Balkanli; Nur Zincir-Heywood; Malcolm I. Heywood (LCN Workshops, 2015)

Evolutionary model building under streaming data for classification tasks: opportunities and challenges. - Malcolm I. Heywood (Genet. Program. Evolvable Mach., 2015)

Evolving GP Classifiers for Streaming Data Tasks with Concept Change and Label Budgets: A Benchmarking Study. - Ali Vahdat; Jillian Morgan; Andrew R. McIntyre; Malcolm I. Heywood; Nur Zincir-Heywood (Handbook of Genetic Programming Applications, 2015)

On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets. - Sara Khanchi; Malcolm I. Heywood; Nur Zincir-Heywood (EuroGP, 2016)

On Synergies between Diversity and Task Decomposition in Constructing Complex Systems with GP. - Jessica P. C. Bonson; Stephen Kelly; Andrew R. McIntyre; Malcolm I. Heywood (GECCO (Companion), 2016)

Discovering Rubik's Cube Subgroups using Coevolutionary GP: A Five Twist Experiment. - Robert J. Smith 002; Stephen Kelly; Malcolm I. Heywood (GECCO, 2016)

Initiating a Moving Target Network Defense with a Real-time Neuro-evolutionary Detector. - Robert J. Smith 002; Ayse Nur Zincir-Heywood; Malcolm I. Heywood; John T. Jacobs (GECCO (Companion), 2016)

Smart Phone User Behaviour Characterization Based on Autoencoders and Self Organizing Maps. - Deepthi Rajashekar; Nur Zincir-Heywood; Malcolm I. Heywood (ICDM Workshops, 2016)

Benchmarking a coevolutionary streaming classifier under the individual household electric power consumption dataset. - Alexander Loginov; Malcolm I. Heywood; Garnett Carl Wilson (IJCNN, 2016)

On novelty driven evolution in Poker. - Jessica P. C. Bonson; Andrew R. McIntyre; Malcolm I. Heywood (SSCI, 2016)

Data analytics on network traffic flows for botnet behaviour detection. - Duc C. Le; Nur Zincir-Heywood; Malcolm I. Heywood (SSCI, 2016)

Emergent Tangled Graph Representations for Atari Game Playing Agents. - Stephen Kelly; Malcolm I. Heywood (EuroGP, 2017)

Return-oriented programme evolution with ROPER: a proof of concept. - Olivia Lucca Fraser; Nur Zincir-Heywood; Malcolm I. Heywood; John T. Jacobs (GECCO (Companion), 2017)

Multi-task learning in Atari video games with emergent tangled program graphs. - Stephen Kelly; Malcolm I. Heywood (GECCO, 2017)

Properties of a GP active learning framework for streaming data with class imbalance. - Sara Khanchi; Malcolm I. Heywood; Nur Zincir-Heywood (GECCO, 2017)

Coevolving deep hierarchies of programs to solve complex tasks. - Robert J. Smith 002; Malcolm I. Heywood (GECCO, 2017)

Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom. - Robert J. Smith 002; Malcolm I. Heywood (EuroGP, 2018)

A genetic algorithm for dynamic controller placement in software defined networking. - Samuel Champagne; Tokunbo Makanju; Chengchao Yao; Nur Zincir-Heywood; Malcolm I. Heywood (GECCO (Companion), 2018)

On botnet detection with genetic programming under streaming data, label budgets and class imbalance. - Sara Khanchi; Ali Vahdat; Malcolm I. Heywood; Nur Zincir-Heywood (GECCO (Companion), 2018)

Benchmarking evolutionary computation approaches to insider threat detection. - Duc C. Le; Sara Khanchi; Nur Zincir-Heywood; Malcolm I. Heywood (GECCO, 2018)

Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial. - Stephen Kelly; Robert J. Smith 002; Malcolm I. Heywood (GPTP, 2018)

Emergent Tangled Program Graphs in Multi-Task Learning. - Stephen Kelly; Malcolm I. Heywood (IJCAI, 2018)

Streaming Botnet traffic analysis using bio-inspired active learning. - Sara Khanchi; Nur Zincir-Heywood; Malcolm I. Heywood (NOMS, 2018)

Emergent Solutions to High-Dimensional Multitask Reinforcement Learning. - Stephen Kelly; Malcolm I. Heywood (Evol. Comput., 2018)

Discovering Agent Behaviors Through Code Reuse: Examples From Half-Field Offense and Ms. Pac-Man. - Stephen Kelly; Malcolm I. Heywood (IEEE Trans. Games, 2018)

A Model of External Memory for Navigation in Partially Observable Visual Reinforcement Learning Tasks. - Robert J. Smith 002; Malcolm I. Heywood (EuroGP, 2019)

Evolving dota 2 shadow fiend bots using genetic programming with external memory. - Robert J. Smith 002; Malcolm I. Heywood (GECCO, 2019)

Solving complex problems with coevolutionary algorithms. - Krzysztof Krawiec; Malcolm I. Heywood (GECCO (Companion), 2019)

Benchmarking genetic programming in dynamic insider threat detection. - Duc C. Le; Malcolm I. Heywood; Nur Zincir-Heywood (GECCO (Companion), 2019)

Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model. - Robert J. Smith 002; Malcolm I. Heywood (GPTP, 2019)

Network Analytics for Streaming Traffic Analysis. - Sara Khanchi; Nur Zincir-Heywood; Malcolm I. Heywood (IM, 2019)

Dynamic Insider Threat Detection Based on Adaptable Genetic Programming. - Duc C. Le; Nur Zincir-Heywood; Malcolm I. Heywood (SSCI, 2019)

Unsupervised Monitoring of Networkand Service Behaviour Using SelfOrganizing Maps. - Duc C. Le; Nur Zincir-Heywood; Malcolm I. Heywood (J. Cyber Secur. Mobil., 2019)

Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning. - Duc C. Le; Nur Zincir-Heywood; Malcolm I. Heywood (IEEE Trans. Netw. Serv. Manag., 2020)

Log Abstraction for Information Security: Heuristics and Reproducibility. - Rafael Copstein; Jeff Schwartzentruber; Nur Zincir-Heywood; Malcolm I. Heywood (ARES, 2021)

Evolving Simple Solutions to the CIFAR-10 Benchmark using Tangled Program Graphs. - Robert J. Smith 002; Ryan Amaral; Malcolm I. Heywood (CEC, 2021)

On the impact of tangled program graph marking schemes under the atari reinforcement learning benchmark. - Alexandru Ianta; Ryan Amaral; Caleidgh Bayer; Robert J. Smith 002; Malcolm I. Heywood (GECCO, 2021)

Finding Simple Solutions to Multi-Task Visual Reinforcement Learning Problems with Tangled Program Graphs. - Caleidgh Bayer; Ryan Amaral; Robert J. Smith 002; Alexandru Ianta; Malcolm I. Heywood (GPTP, 2021)

Training regime influences to semi-supervised learning for insider threat detection. - Duc C. Le; Nur Zincir-Heywood; Malcolm I. Heywood (SP (Workshops), 2021)

Stock selection heuristics for performing frequent intraday trading with genetic programming. - Alexander Loginov; Malcolm I. Heywood; Garnett Carl Wilson (Genet. Program. Evolvable Mach., 2021)

Emergent Tangled Program Graphs in Partially Observable Recursive Forecasting and ViZDoom Navigation Tasks. - Stephen Kelly; Robert J. Smith 002; Malcolm I. Heywood; Wolfgang Banzhaf (ACM Trans. Evol. Learn. Optim., 2021)

Benchmarking genetic programming in a multi-action reinforcement learning locomotion task. - Ryan Amaral; Alexandru Ianta; Caleidgh Bayer; Robert J. Smith 002; Malcolm I. Heywood (GECCO Companion, 2022)

Genetic programming with external memory in sequence recall tasks. - Mihyar Al Masalma; Malcolm I. Heywood (GECCO Companion, 2022)

On the interaction between lexicase selection, modularity and data subsets. - Benjamin Portman; Malcolm I. Heywood (GECCO Companion, 2022)

Exploring syntactical features for anomaly detection in application logs. - Rafael Copstein; Egil Karlsen; Jeff Schwartzentruber; Nur Zincir-Heywood; Malcolm I. Heywood (it Inf. Technol., 2022)

MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection. - Rafael Copstein; Brad Niblett; Andrew Johnston; Jeff Schwartzentruber; Malcolm I. Heywood; Nur Zincir-Heywood (CNSM, 2023)

A Boosting Approach to Constructing an Ensemble Stack. - Zhilei Zhou; Ziyu Qiu; Brad Niblett; Andrew Johnston; Jeffrey Schwartzentruber; Nur Zincir-Heywood; Malcolm I. Heywood (EuroGP, 2023)

W. B. Langdon "Jaws 30". - Malcolm I. Heywood (Genet. Program. Evolvable Mach., 2023)

Emergent Discovery of Reinforced Programs using Q-Learning and Planning: A Proof of Concept. - Noah Sealy; Malcolm I. Heywood (CEC, 2024)

Improving Real-Time Anomaly Detection using Multiple Instances of Micro-Cluster Detection. - Rafael Copstein; Nur Zincir-Heywood; Malcolm I. Heywood (CNSM, 2024)

Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks. - Zhilei Zhou; Nur Zincir-Heywood; Malcolm I. Heywood (EvoApplications@EvoStar, 2024)

Emergent Braitenberg-style Behaviours for Navigating the ViZDoom 'My Way Home' Labyrinth. - Caleidgh Bayer; Robert J. Smith 002; Malcolm I. Heywood (CoRR, 2024)

Assessing the impact of bag-of-words versus word-to-vector embedding methods and dimension reduction on anomaly detection from log files. - Ziyu Qiu; Zhilei Zhou; Brad Niblett; Andrew Johnston; Jeffrey Schwartzentruber; Nur Zincir-Heywood; Malcolm I. Heywood (Int. J. Netw. Manag., 2024)

Interpreting Tangled Program Graphs Under Partially Observable Dota 2 Invoker Tasks. - Robert J. Smith 002; Malcolm I. Heywood (IEEE Trans. Artif. Intell., 2024)

Benchmarking Large Language Models for Log Analysis, Security, and Interpretation. - Egil Karlsen; Xiao Luo 002; Nur Zincir-Heywood; Malcolm I. Heywood (J. Netw. Syst. Manag., 2024)

Large language models and unsupervised feature learning: implications for log analysis. - Egil Karlsen; Xiao Luo 002; Nur Zincir-Heywood; Malcolm I. Heywood (Ann. des Télécommunications, 2024)

Benchmarking Streaming Evolutionary Ensemble Learning under Shifting Imbalanced Data. - Ziyu Qiu; Malcolm I. Heywood (CEC, 2025)

Emergent Braitenberg-style Behaviours for Navigating the ViZDoom 'My Way Home' Labyrinth. - Caleidgh Grace Bayer; Robert Smith; Malcolm I. Heywood (GECCO, 2025)

Learning to Optimize Entropy in the Soft Actor-Critic. - Zhilei Zhou; Malcolm I. Heywood (ICANN (1), 2025)

Can Flow Metadata Based Signatures Generalize for Identifying Attacks on IoT Devices? - Jeffrey A. Adjei; Nur Zincir-Heywood; Malcolm I. Heywood; Biswajit Nandy; Nabil Seddigh (NOMS, 2025)

DALHOUSIE NIMS LAB IoT ATTACK DATASET 2025-1. - Jeffrey A. Adjei; Nur Zincir-Heywood; Malcolm I. Heywood; Nabil Seddigh; Biswajit Nandy (IEEE DataPort, 2025)