Mike Chantler

Mike Chantler

Heriot-Watt University

H-index: 30

Europe-United Kingdom

About Mike Chantler

Mike Chantler, With an exceptional h-index of 30 and a recent h-index of 13 (since 2020), a distinguished researcher at Heriot-Watt University, specializes in the field of Computer vision, human perception and interaction.

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

Bayesian reconstruction of Cartesian product graph signals with general patterns of missing data

Long/Short Equity Risk Premia Parity Portfolios via Implicit Factors in Regularized Covariance Regression

Automated Robotic Assembly of Laser Systems

Package CovRegpy: Regularised Covariance Regression and Forecasting in Python

Package AdvEMDpy: Algorithmic variations of empirical mode decomposition in Python

PyKronecker: A Python Library for the Efficient Manipulation of Kronecker Products and Related Structures

Tutorial on Empirical Mode Decomposition: Basis Decomposition and Frequency Adaptive Graduation in Non-Stationary Time Series

Addressing Shortcomings in Manual Alignment of Laser Optics via Automation Tools

Mike Chantler Information

University

Position

Professor of Computer Science

Citations(all)

2899

Citations(since 2020)

686

Cited By

2527

hIndex(all)

30

hIndex(since 2020)

13

i10Index(all)

93

i10Index(since 2020)

27

Email

University Profile Page

Heriot-Watt University

Google Scholar

View Google Scholar Profile

Mike Chantler Skills & Research Interests

Computer vision

human perception and interaction

Top articles of Mike Chantler

Title

Journal

Author(s)

Publication Date

Bayesian reconstruction of Cartesian product graph signals with general patterns of missing data

Journal of the Franklin Institute

Edward Antonian

Gareth W Peters

Michael Chantler

2024/4/9

Long/Short Equity Risk Premia Parity Portfolios via Implicit Factors in Regularized Covariance Regression

Available at SSRN 4449044

Cole van Jaarsveldt

Gareth Peters

Matthew Ames

Mike J Chantler

2023/5/15

Automated Robotic Assembly of Laser Systems

Donald Risbridger

Ildar Rakhmatulin

David Robb

Mateusz Sakow

Xianwen Kong

...

2023/3/22

Package CovRegpy: Regularised Covariance Regression and Forecasting in Python

Available at SSRN 4373433

Cole van Jaarsveldt

Gareth Peters

Matthew Ames

Mike J Chantler

2023/2/28

Package AdvEMDpy: Algorithmic variations of empirical mode decomposition in Python

Annals of Actuarial Science

Cole van Jaarsveldt

Matthew Ames

Gareth W Peters

Mike Chantler

2023/11

PyKronecker: A Python Library for the Efficient Manipulation of Kronecker Products and Related Structures

Journal of Open Source Software

Edward Antonian

Gareth W Peters

Michael Chantler

2023/1/30

Tutorial on Empirical Mode Decomposition: Basis Decomposition and Frequency Adaptive Graduation in Non-Stationary Time Series

IEEE Access

Cole Van Jaarsveldt

Gareth W Peters

Matthew Ames

Mike Chantler

2023/8/29

Addressing Shortcomings in Manual Alignment of Laser Optics via Automation Tools

Ildar Rakhmatulin

Donald Risbridger

DA Robb

RM Carter

Michael John Chantler

...

2023/8/26

Iterative Methods for Signal Reconstruction on Product Graphs with Arbitrary Missing Data

Available at SSRN 4270220

Edward Antonian

Gareth Peters

Mike J Chantler

2022/8/7

On-chain analytics for sentiment-driven statistical causality in cryptocurrencies

Blockchain: Research and Applications

Ioannis Chalkiadakis

Anna Zaremba

Gareth Peters

Mike J Chantler

2022/1/28

The scottish brain health service model: rationale and scientific basis for a national care pathway of brain health services in Scotland

Craig W Ritchie

Jennifer MJ Waymont

Catherine Pennington

Kristy Draper

Anna Borthwick

...

2022/4/1

Supplement to: Package AdvEMDpy: Algorithmic Variations of Empirical Mode Decomposition in Python

Available at SSRN 4233231

Cole van Jaarsveldt

Matthew Ames

Gareth Peters

Mike J Chantler

2022/9/29

A Statistical Analysis of Text: Embeddings, Properties and Time-Series Modeling

Properties and Time-Series Modeling (December 8, 2020)

Ioannis Chalkiadakis

Gareth Peters

2020/12/8

Enhancing Reading Strategies by Exploring A Theme-based Approach to Literature Surveys

arXiv preprint arXiv:2102.05374

Tanya Howden

Pierre Le Bras

Thomas S Methven

Stefano Padilla

Mike J Chantler

2021/2/10

GLS Kernel Regression for Network-Structured Data

Available at SSRN 3901694

Edward Antonian

Gareth Peters

Mike J Chantler

Hongxuan Yan

2021/8/9

An Integrated Framework for Remote Planning

Yaniel Carreno

Pierre Le Bras

Èric Pairet

Paola Ardón

MJ Chantler

...

2021/8

The Importance of Phase to Texture Discrimination and Similarity

IEEE Transactions on Visualization and Computer Graphics

Xinghui Dong

Ying Gao

Junyu Dong

Mike Chantler

2020/3

Survey of procedural methods for two-dimensional texture generation

Sensors

Junyu Dong

Jun Liu

Kang Yao

Mike Chantler

Lin Qi

...

2020/2/19

Perceptual texture similarity estimation: An evaluation of computational features

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Xiaodong Jia

Xiao-Yuan Jing

Xiaoke Zhu

Songcan Chen

Bo Du

...

2021/7/1

Plancurves: An interface for end-users to visualise multi-agent temporal plans

ICAPS 2020 Workshop on Knowledge Engineering for Planning and Scheduling (KEPS)

Pierre Le Bras

Yaniel Carreno

Alan Lindsay

Ronald Petrick

Mike J Chantler

2020/10

See List of Professors in Mike Chantler University(Heriot-Watt University)

Co-Authors

H-index: 57
David Corne

David Corne

Heriot-Watt University

H-index: 53
Qiang Shen

Qiang Shen

Aberystwyth University

H-index: 50
Nadia Bianchi-Berthouze

Nadia Bianchi-Berthouze

University College London

H-index: 47
Junyu Dong

Junyu Dong

Ocean University of China

H-index: 41
David Lane

David Lane

Heriot-Watt University

H-index: 35
J. Paul Siebert

J. Paul Siebert

University of Glasgow

academic-engine