Malcolm Heywood

Malcolm Heywood

Dalhousie University

H-index: 36

North America-Canada

About Malcolm Heywood

Malcolm Heywood, With an exceptional h-index of 36 and a recent h-index of 19 (since 2020), a distinguished researcher at Dalhousie University, specializes in the field of genetic programming.

His recent articles reflect a diverse array of research interests and contributions to the field:

Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks

Assessing the impact of bag‐of‐words versus word‐to‐vector embedding methods and dimension reduction on anomaly detection from log files

Emergent Braitenberg-style Behaviours for Navigating the ViZDoomMy Way Home'Labyrinth

Large language models and unsupervised feature learning: implications for log analysis

Evolutionary Ensemble Learning

A boosting approach to constructing an ensemble stack

Exploring semantic vs. Syntactic features for unsupervised learning on application log files

MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection

Malcolm Heywood Information

University

Position

Professor Computer Science

Citations(all)

4908

Citations(since 2020)

1479

Cited By

3998

hIndex(all)

36

hIndex(since 2020)

19

i10Index(all)

113

i10Index(since 2020)

43

Email

University Profile Page

Dalhousie University

Google Scholar

View Google Scholar Profile

Malcolm Heywood Skills & Research Interests

genetic programming

Top articles of Malcolm Heywood

Title

Journal

Author(s)

Publication Date

Simple Efficient Evolutionary Ensemble Learning on Network Intrusion Detection Benchmarks

Zhilei Zhou

Nur Zincir-Heywood

Malcolm I Heywood

2024/3/3

Assessing the impact of bag‐of‐words versus word‐to‐vector embedding methods and dimension reduction on anomaly detection from log files

International Journal of Network Management

Ziyu Qiu

Zhilei Zhou

Bradley Niblett

Andrew Johnston

Jeffrey Schwartzentruber

...

2024/1

Emergent Braitenberg-style Behaviours for Navigating the ViZDoomMy Way Home'Labyrinth

arXiv preprint arXiv:2404.06529

Caleidgh Bayer

Robert J Smith

Malcolm I Heywood

2024/4/9

Large language models and unsupervised feature learning: implications for log analysis

Annals of Telecommunications

Egil Karlsen

Xiao Luo

Nur Zincir-Heywood

Malcolm Heywood

2024/4/4

Evolutionary Ensemble Learning

Malcolm I Heywood

2023/11/2

A boosting approach to constructing an ensemble stack

Zhilei Zhou

Ziyu Qiu

Brad Niblett

Andrew Johnston

Jeffrey Schwartzentruber

...

2023/3/29

Exploring semantic vs. Syntactic features for unsupervised learning on application log files

Egil Karlsen

Rafael Copstein

Xiao Luo

Jeff Schwartzentruber

Bradley Niblett

...

2023/10/16

MIMC: Anomaly Detection in Network Data via Multiple Instances of Micro-Cluster Detection

Rafael Copstein

Bradley Niblett

Andrew Johnston

Jeff Schwartzentruber

Malcolm Heywood

...

2023/10/30

Feature Engineering for Injection Attack Detection: An Exploration from SQLI to XSS

Alexander Loginov

Nur Zincir-Heywood

Malcolm Heywood

2023/10/16

WB Langdon “Jaws 30”

Genetic Programming and Evolvable Machines

Malcolm I Heywood

2023/12

Interpreting Tangled Program Graphs Under Partially Observable Dota 2 Invoker Tasks

IEEE Transactions on Artificial Intelligence

Robert J Smith

Malcolm I Heywood

2023/5/24

Benchmarking Large Language Models for Log Analysis, Security, and Interpretation

arXiv preprint arXiv:2311.14519

Egil Karlsen

Xiao Luo

Nur Zincir-Heywood

Malcolm Heywood

2023/11/24

Towards Anomaly Detection using Multiple Instances of Micro-Cluster Detection

Rafael Copstein

Bradley Niblett

Andrew Johnston

Jeff Schwartzentruber

Malcolm Heywood

...

2023/10/16

Finding simple solutions to multi-task visual reinforcement learning problems with tangled program graphs

Caleidgh Bayer

Ryan Amaral

Robert J Smith

Alexandru Ianta

Malcolm I Heywood

2022/2/11

On the interaction between lexicase selection, modularity and data subsets

Benjamin Portman

Malcolm I Heywood

2022/7/9

Benchmarking ensemble genetic programming with a linked list external memory on scalable partially observable tasks

Genetic Programming and Evolvable Machines

Mihyar Al Masalma

Malcolm Heywood

2022/12

Benchmarking genetic programming in a multi-action reinforcement learning locomotion task

Ryan Amaral

Alexandru Ianta

Caleidgh Bayer

Robert J Smith

Malcolm I Heywood

2022/7/9

Exploring syntactical features for anomaly detection in application logs

it-Information Technology

Rafael Copstein

Egil Karlsen

Jeff Schwartzentruber

Nur Zincir-Heywood

Malcolm Heywood

2022/4/26

Genetic programming with external memory in sequence recall tasks

Mihyar Al Masalma

Malcolm I Heywood

2022/7/9

On the impact of tangled program graph marking schemes under the atari reinforcement learning benchmark

Alexandru Ianta

Ryan Amaral

Caleidgh Bayer

Robert J Smith

Malcolm I Heywood

2021/6/26

See List of Professors in Malcolm Heywood University(Dalhousie University)

Co-Authors

H-index: 54
Evangelos Milios

Evangelos Milios

Dalhousie University

H-index: 50
Xueyang Hu (胡雪洋)

Xueyang Hu (胡雪洋)

Peking University

H-index: 45
Xiaowei Song, BSc MSc PhD MSCS

Xiaowei Song, BSc MSc PhD MSCS

Simon Fraser University

H-index: 40
Nur Zincir-Heywood

Nur Zincir-Heywood

Dalhousie University

H-index: 37
Professor Chris Chatwin

Professor Chris Chatwin

University of Sussex

H-index: 36
Gavin C Cawley

Gavin C Cawley

University of East Anglia

academic-engine