Brendan McCane

Brendan McCane

University of Otago

H-index: 23

Oceania-New Zealand

About Brendan McCane

Brendan McCane, With an exceptional h-index of 23 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Otago, specializes in the field of Computer vision, machine learning, pattern recognition, shape..

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

Learning to explore by reinforcement over high-level options

RocNet: Recursive octree network for efficient 3D processing

Three-dimensional reconstruction of In Vivo human lumbar spine from biplanar radiographs

Conceptual complexity of neural networks

Mastery learning in cs1-an invitation to procrastinate?: Reflecting on six years of mastery learning

Conceptual capacity and effective complexity of neural networks

Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting

Vase: Variational assorted surprise exploration for reinforcement learning

Brendan McCane Information

University

Position

___

Citations(all)

2804

Citations(since 2020)

932

Cited By

2159

hIndex(all)

23

hIndex(since 2020)

14

i10Index(all)

45

i10Index(since 2020)

20

Email

University Profile Page

University of Otago

Google Scholar

View Google Scholar Profile

Brendan McCane Skills & Research Interests

Computer vision

machine learning

pattern recognition

shape.

Top articles of Brendan McCane

Title

Journal

Author(s)

Publication Date

Learning to explore by reinforcement over high-level options

Machine Vision and Applications

Juncheng Liu

Brendan McCane

Steven Mills

2024/1

RocNet: Recursive octree network for efficient 3D processing

Computer Vision and Image Understanding

Juncheng Liu

Steven Mills

Brendan McCane

2022/11/1

Three-dimensional reconstruction of In Vivo human lumbar spine from biplanar radiographs

Computerized Medical Imaging and Graphics

Hamza Bennani

Brendan McCane

Jon Cornwall

2022/3/1

Conceptual complexity of neural networks

Neurocomputing

Lech Szymanski

Brendan McCane

Craig Atkinson

2022/1/16

Mastery learning in cs1-an invitation to procrastinate?: Reflecting on six years of mastery learning

Claudia Ott

Brendan McCane

Nick Meek

2021/6/26

Conceptual capacity and effective complexity of neural networks

arXiv preprint arXiv:2103.07614

Lech Szymanski

Brendan McCane

Craig Atkinson

2021/3/13

Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting

Neurocomputing

Craig Atkinson

Brendan McCane

Lech Szymanski

Anthony Robins

2021/3/7

Vase: Variational assorted surprise exploration for reinforcement learning

IEEE Transactions on Neural Networks and Learning Systems

Haitao Xu

Lech Szymanski

Brendan McCane

2021/8/26

Removing mains power artefacts from EEG–a novel template-based method

bioRxiv

Shenghuan Zhang

Brendan McCane

Phoebe SH Neo

Neil McNaughton

2020/1/28

PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification

Tapabrata Chakraborti

Brendan McCane

Steven Mills

Umapada Pal

2020/11/25

MIME: Mutual Information Minimisation Exploration

arXiv preprint arXiv:2001.05636

Haitao Xu

Brendan McCane

Lech Szymanski

Craig Atkinson

2020/1/16

Rocnet: Recursive octree network for efficient 3d deep representation

Juncheng Liu

Steven Mills

Brendan McCane

2020/11/25

Trait depressivity prediction with EEG signals via LSBoost

Shenghuan Zhang

Brendan McCane

Phoebe SH Neo

Shabah M Shadli

Neil McNaughton

2020/7/19

Distance metric learned collaborative representation classifier (DML-CRC)

IEEE Letters of the Computer Society

Tapabrata Chakraborti

Brendan McCane

Steven Mills

Umapada Pal

2020/5/28

Variational autoencoder for 3D voxel compression

Juncheng Liu

Steven Mills

Brendan McCane

2020/11/25

Automated collection and analysis of infrared thermograms for measuring eye and cheek temperatures in calves

Animals

Gemma Lowe

Brendan McCane

Mhairi Sutherland

Joe Waas

Allan Schaefer

...

2020/2/12

CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification

Tapabrata Chakraborti

Brendan McCane

Steven Mills

Umapada Pal

2020/11/25

See List of Professors in Brendan McCane University(University of Otago)

Co-Authors

H-index: 56
Terry Caelli

Terry Caelli

Deakin University

H-index: 48
J. Haxby Abbott

J. Haxby Abbott

University of Otago

H-index: 32
Andrew Trotman

Andrew Trotman

University of Otago

H-index: 32
Anthony Robins

Anthony Robins

University of Otago

H-index: 28
Michael Albert

Michael Albert

University of Otago

H-index: 22
Zhiyi Huang

Zhiyi Huang

University of Otago

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