Michael Lones

Michael Lones

Heriot-Watt University

H-index: 23

Europe-United Kingdom

About Michael Lones

Michael Lones, With an exceptional h-index of 23 and a recent h-index of 16 (since 2020), a distinguished researcher at Heriot-Watt University, specializes in the field of Machine learning, Optimisation, Evolutionary computation, Genetic programming.

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

ActDroid: An active learning framework for Android malware detection

Investigating the Proficiency of Large Language Models in Formative Feedback Generation for Student Programmers

REFORMS: Consensus-based Recommendations for Machine-learning-based Science

DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection

A Comprehensive Investigation of Feature and Model Importance in Android Malware Detection

Evolutionary Machine Learning in Medicine

IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection

Externally validating the IoTDevID device identification methodology using the CIC IoT 2022 Dataset

Michael Lones Information

University

Position

Associate Professor Department of Computer Science

Citations(all)

1566

Citations(since 2020)

901

Cited By

927

hIndex(all)

23

hIndex(since 2020)

16

i10Index(all)

44

i10Index(since 2020)

21

Email

University Profile Page

Heriot-Watt University

Google Scholar

View Google Scholar Profile

Michael Lones Skills & Research Interests

Machine learning

Optimisation

Evolutionary computation

Genetic programming

Top articles of Michael Lones

Title

Journal

Author(s)

Publication Date

ActDroid: An active learning framework for Android malware detection

arXiv preprint arXiv:2401.16982

Ali Muzaffar

Hani Ragab Hassen

Hind Zantout

Michael A Lones

2024/1/30

Investigating the Proficiency of Large Language Models in Formative Feedback Generation for Student Programmers

Smitha Kumar

Michael Adam Lones

Manuel Maarek

Hind Zantout

2024/1/15

REFORMS: Consensus-based Recommendations for Machine-learning-based Science

Science Advances

Sayash Kapoor

Emily Cantrell

Kenny Peng

Than Hien Pham

Christopher A Bail

...

2024/3/25

DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection

Ali Muzaffar

Hani Ragab Hassan

Hind Zantout

Michael Adam Lones

2023/3/30

A Comprehensive Investigation of Feature and Model Importance in Android Malware Detection

arXiv preprint arXiv:2301.12778

Ali Muzaffar

Hani Ragab Hassen

Hind Zantout

Michael A Lones

2023/1/30

Evolutionary Machine Learning in Medicine

Michael A Lones

Stephen L Smith

2023/11/2

IoTGeM: Generalizable Models for Behaviour-Based IoT Attack Detection

arXiv preprint arXiv:2401.01343

Kahraman Kostas

Mike Just

Michael A Lones

2023/10/17

Externally validating the IoTDevID device identification methodology using the CIC IoT 2022 Dataset

arXiv preprint arXiv:2307.08679

Kahraman Kostas

Mike Just

Michael A Lones

2023/7/3

IoTDevID: A behavior-based device identification method for the IoT

IEEE Internet of Things Journal

Kahraman Kostas

Mike Just

Michael A Lones

2022/7/18

Why functional program synthesis matters (in the realm of genetic programming)

Fraser Garrow

Michael A Lones

Robert Stewart

2022/7/9

The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning

Proceedings of the AAAI Conference on Artificial Intelligence

Daniel Kienitz

Ekaterina Komendantskaya

Michael Lones

2022/6/28

A Review of Capsule Networks in Medical Image Analysis

Heba El-Shimy

Hind Zantout

Michael Lones

Neamat El Gayar

2022/11/11

Comparing Complexities of Decision Boundaries for Robust Training: A Universal Approach

Daniel Kienitz

Ekaterina Komendantskaya

Michael A Lones

2022

Measuring the impact of nonpharmaceutical interventions on the SARS-CoV-2 pandemic at a city level: An agent-based computational modelling study of the City of Natal

PLOS global public health

Paulo Henrique Lopes

Liam Wellacott

Leandro de Almeida

Lourdes Milagros Mendoza Villavicencio

André Luiz de Lucena Moreira

...

2022/10/14

Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks

Neural Computing and Applications

Mohamad Alissa

Michael A Lones

Jeremy Cosgrove

Jane E Alty

Stuart Jamieson

...

2022/1

An in-depth review of machine learning based Android malware detection

Ali Muzaffar

Hani Ragab Hassen

Michael A Lones

Hind Zantout

2022/10/1

Evolving continuous optimisers from scratch

Genetic Programming and Evolvable Machines

Michael A Lones

2021/12

Android Malware Detection Using API Calls: A Comparison of Feature Selection and Machine Learning Models

Ali Muzaffar

Hani Ragab Hassen

Michael A Lones

Hind Zantout

2021/11/13

Anomaly Detection for Insider Threats: An Objective Comparison of Machine Learning Models and Ensembles

Filip Wieslaw Bartoszewski

Mike Just

Michael A Lones

Oleksii Mandrychenko

2021/6/15

A Data-Driven Biophysical Computational Model of Parkinson’s Disease Based on Marmoset Monkeys

IEEE access

Caetano M Ranieri

Jhielson M Pimentel

Marcelo R Romano

Leonardo A Elias

Roseli AF Romero

...

2021/8/30

See List of Professors in Michael Lones University(Heriot-Watt University)

Co-Authors

H-index: 109
Norbert Schuff

Norbert Schuff

University of California, San Francisco

H-index: 57
David Corne

David Corne

Heriot-Watt University

H-index: 41
Xuebin Yang

Xuebin Yang

University of Leeds

H-index: 23
A/Prof Jane Alty

A/Prof Jane Alty

University of Tasmania

H-index: 21
Mike Just

Mike Just

Heriot-Watt University

H-index: 10
Hani Ragab Hassen

Hani Ragab Hassen

Heriot-Watt University

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