Enda Howley

About Enda Howley

Enda Howley, With an exceptional h-index of 29 and a recent h-index of 23 (since 2020), a distinguished researcher at National University of Ireland, Galway, specializes in the field of Adaptive Learning Agents - Machine Learning - Optimisation - Artificial Intelligence - Complex Systems - Cloud Computing.

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

ADT: Time series anomaly detection for cyber-physical systems via deep reinforcement learning

Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning

Artificial neural networks based predictions towards the auto-tuning and optimization of parallel IO bandwidth in HPC system

Exploring the pareto front of multi-objective covid-19 mitigation policies using reinforcement learning

A Brief Guide to Multi-Objective Reinforcement Learning and Planning

A genetic programming-based framework for semi-automated multi-agent systems engineering

Distributional multi-objective decision making

Seismic data IO and sorting optimization in HPC through ANNs prediction based auto-tuning for ExSeisDat

Enda Howley Information

University

Position

___

Citations(all)

3467

Citations(since 2020)

2739

Cited By

1740

hIndex(all)

29

hIndex(since 2020)

23

i10Index(all)

50

i10Index(since 2020)

39

Email

University Profile Page

National University of Ireland, Galway

Google Scholar

View Google Scholar Profile

Enda Howley Skills & Research Interests

Adaptive Learning Agents - Machine Learning - Optimisation - Artificial Intelligence - Complex Systems - Cloud Computing

Top articles of Enda Howley

Title

Journal

Author(s)

Publication Date

ADT: Time series anomaly detection for cyber-physical systems via deep reinforcement learning

Computers & Security

Xue Yang

Enda Howley

Michael Schukat

2024/6/1

Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning

arXiv preprint arXiv:2402.02665

Peter Vamplew

Cameron Foale

Conor F Hayes

Patrick Mannion

Enda Howley

...

2024/2/5

Artificial neural networks based predictions towards the auto-tuning and optimization of parallel IO bandwidth in HPC system

Cluster Computing

Abdul Jabbar Saeed Tipu

Padraig O Conbhui

Enda Howley

2024/2

Exploring the pareto front of multi-objective covid-19 mitigation policies using reinforcement learning

Expert Systems with Applications

Mathieu Reymond

Conor F. Hayes

Lander Willem

Roxana Rădulescu

Steven Abrams

...

2024/3/24

A Brief Guide to Multi-Objective Reinforcement Learning and Planning

Conor F Hayes

Roxana Rădulescu

Eugenio Bargiacchi

Johan Kallstrom

Matthew Macfarlane

...

2023/5/30

A genetic programming-based framework for semi-automated multi-agent systems engineering

ACM Transactions on Autonomous and Adaptive Systems

Nicola Mc Donnell

Jim Duggan

Enda Howley

2023/5/29

Distributional multi-objective decision making

WIllem Röpke

Conor F. Hayes

Patrick Mannion

Enda Howley

Ann Nowé

...

2023/8/22

Seismic data IO and sorting optimization in HPC through ANNs prediction based auto-tuning for ExSeisDat

Neural Computing and Applications

Abdul Jabbar Saeed Tipu

Pádraig Ó Conbhuí

Enda Howley

2023/3

ADT: Agent-based Dynamic Thresholding for Anomaly Detection

arXiv preprint arXiv:2312.01488

Xue Yang

Enda Howley

Micheal Schukat

2023/12/3

Critical evaluation of the use of artificial data for machine learning based de novo peptide identification

Computational and Structural Biotechnology Journal

Kevin McDonnell

Enda Howley

Florence Abram

2023/1/1

Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning

Autonomous Agents and Multi-Agent Systems

Conor F Hayes

Mathieu Reymond

Diederik M Roijers

Enda Howley

Patrick Mannion

2023/4/28

Application of a novel hybrid cnn-gnn for peptide ion encoding

Journal of Proteome Research

Kevin McDonnell

Florence Abram

Enda Howley

2022/12/19

Decision-theoretic planning for the expected scalarised returns

Conor F Hayes

Diederik M Roijers

Enda Howley

Patrick Mannion

2022/5/9

Thermodynamically-motivated chemo-mechanical models and multicellular simulation to provide new insight into active cell and tumour remodelling

Irish Senthilkumar

Enda Howley

Eoin McEvoy

2022/10/15

The Application of Reinforcement Learning to the FlipIt Security Game

Xue Yang

Enda Howley

Michael Schukat

2022/4/25

Applying neural networks to predict hpc-i/o bandwidth over seismic data on lustre file system for exseisdat

Cluster Computing

Abdul Jabbar Saeed Tipu

Padraig Ó Conbhuí

Enda Howley

2022/8

A practical guide to multi-objective reinforcement learning and planning

Autonomous Agents and Multi-Agent Systems

Conor F Hayes

Roxana Rădulescu

Eugenio Bargiacchi

Johan Källström

Matthew Macfarlane

...

2022/4

Expected scalarised returns dominance: A new solution concept for multi-objective decision making

Neural Computing and Applications

Conor Francis Hayes

Timothy Verstraeten

Diederik Marijn Roijers

Enda Howley

Patrick Mannion

2022/7/5

Multi-objective distributional value iteration

Conor Francis Hayes

Diederik Marijn Roijers

Enda Howley

Patrick Mannion

2022/5/9

The impact of noise and missing fragmentation cleavages on de novo peptide identification algorithms

Computational and Structural Biotechnology Journal

Kevin McDonnell

Enda Howley

Florence Abram

2022/1/1

See List of Professors in Enda Howley University(National University of Ireland, Galway)

Co-Authors

H-index: 34
Jim Duggan

Jim Duggan

National University of Ireland, Galway

H-index: 29
Peter Vamplew

Peter Vamplew

Federation University Australia

H-index: 27
Diederik M. Roijers

Diederik M. Roijers

Vrije Universiteit Brussel

H-index: 24
Richard Dazeley

Richard Dazeley

Deakin University

H-index: 23
Enda Barrett

Enda Barrett

National University of Ireland, Galway

H-index: 22
Colm O'Riordan

Colm O'Riordan

National University of Ireland, Galway

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