A.S.McGough

A.S.McGough

Newcastle University

H-index: 28

Europe-United Kingdom

About A.S.McGough

A.S.McGough, With an exceptional h-index of 28 and a recent h-index of 17 (since 2020), a distinguished researcher at Newcastle University,

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

O-TALC: Steps Towards Combating Oversegmentation within Online Action Segmentation

Insights from the Use of Previously Unseen Neural Architecture Search Datasets

The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks Applied to Marine Bioacoustic Data

The Forecastability of Underlying Building Electricity Demand from Time Series Data

NCL-SM: A fully annotated dataset of images from human skeletal muscle biopsies

How much data do I need? A case study on medical data

FEGR: Feature Enhanced Graph Representation Method for Graph Classification

SWiMM DEEPeR: A Simulated Underwater Environment for Tracking Marine Mammals Using Deep Reinforcement Learning and BlueROV2

A.S.McGough Information

University

Position

___

Citations(all)

3382

Citations(since 2020)

1281

Cited By

2437

hIndex(all)

28

hIndex(since 2020)

17

i10Index(all)

81

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Top articles of A.S.McGough

O-TALC: Steps Towards Combating Oversegmentation within Online Action Segmentation

arXiv preprint arXiv:2404.06894

2024/4/10

Insights from the Use of Previously Unseen Neural Architecture Search Datasets

arXiv preprint arXiv:2404.02189

2024/4/2

The Effects of Signal-to-Noise Ratio on Generative Adversarial Networks Applied to Marine Bioacoustic Data

arXiv preprint arXiv:2312.14806

2023/12/22

The Forecastability of Underlying Building Electricity Demand from Time Series Data

2023/12/15

NCL-SM: A fully annotated dataset of images from human skeletal muscle biopsies

2023/12/15

How much data do I need? A case study on medical data

2023/12/15

FEGR: Feature Enhanced Graph Representation Method for Graph Classification

2023/11/6

SWiMM DEEPeR: A Simulated Underwater Environment for Tracking Marine Mammals Using Deep Reinforcement Learning and BlueROV2

2023/12/4

A Global Data-driven Forecasting Approach for Buildings Energy Demand Prediction

2023/7/7

Predicting the Performance of a Computing System with Deep Networks

2023/4/15

Analysis of Reinforcement Learning for determining task replication in workflows

2022/9/21

Hand Guided High Resolution Feature Enhancement for Fine-Grained Atomic Action Segmentation within Complex Human Assemblies

2023

SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics

2022

PeaGlyph: Glyph design for investigation of balanced data structures

2022/1

A systematic literature review on machine learning for electricity market agent-based models

2022/12/20

Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology

2022/12/17

Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data

2022/12/17

Optimizing a domestic battery and solar photovoltaic system with deep reinforcement learning

2022/12/17

Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption—A systematic review

2022/10/1

A Multi-task Learning Approach to Short-Term Load-Forecasting for Multiple Energy Loads in an Educational Building

2022/8/20

See List of Professors in A.S.McGough University(Newcastle University)

Co-Authors

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