Ian Davidson

Ian Davidson

University of California, Davis

H-index: 49

North America-United States

About Ian Davidson

Ian Davidson, With an exceptional h-index of 49 and a recent h-index of 30 (since 2020), a distinguished researcher at University of California, Davis, specializes in the field of Data Mining, Machine Learning, Artificial Intelligence.

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

Identification and Uses of Deep Learning Backbones via Pattern Mining

404. Predictors of Conversion to Psychosis Also Predict Transition to a High Risk State: An Adolescent Brain and Cognitive Development Study Analysis

Cooperative Knowledge Distillation: A Learner Agnostic Approach

Explainable Unsupervised Learning as Constraint Satisfaction

Predicting Longitudinal Trajectories of Child Psychopathology With Explainable Neural Network Ensembles: An Adolescent Brain and Cognitive Development Study Analysis

Are we there yet? Predicting conversion to psychosis using machine learning

Making clusterings fairer by post-processing: algorithms, complexity results and experiments

Scalable spectral clustering with group fairness constraints

Ian Davidson Information

University

Position

Professor of Computer Science

Citations(all)

8438

Citations(since 2020)

3161

Cited By

6633

hIndex(all)

49

hIndex(since 2020)

30

i10Index(all)

113

i10Index(since 2020)

78

Email

University Profile Page

University of California, Davis

Google Scholar

View Google Scholar Profile

Ian Davidson Skills & Research Interests

Data Mining

Machine Learning

Artificial Intelligence

Top articles of Ian Davidson

Title

Journal

Author(s)

Publication Date

Identification and Uses of Deep Learning Backbones via Pattern Mining

Michael Livanos

Ian Davidson

2024

404. Predictors of Conversion to Psychosis Also Predict Transition to a High Risk State: An Adolescent Brain and Cognitive Development Study Analysis

Biological Psychiatry

Jason Smucny

Avery Wood

Ian Davidson

Cameron Carter

2024/5/15

Cooperative Knowledge Distillation: A Learner Agnostic Approach

AAAI 2024 Conference

Michael Livanos

Ian Davidson

Stephen Wong

2024/2/2

Explainable Unsupervised Learning as Constraint Satisfaction

Ian Davidson

SS Ravi

2023

Predicting Longitudinal Trajectories of Child Psychopathology With Explainable Neural Network Ensembles: An Adolescent Brain and Cognitive Development Study Analysis

Psychiatry Research: Neuroimaging

J Smucny

C Carter

T Lesh

JD Ragland

TA Lesh

...

2023

Are we there yet? Predicting conversion to psychosis using machine learning

Jason Smucny

Ian Davidson

Cameron S Carter

2023/11/1

Making clusterings fairer by post-processing: algorithms, complexity results and experiments

Data Mining and Knowledge Discovery

Ian Davidson

Zilong Bai

Cindy Mylinh Tran

SS Ravi

2023/7

Scalable spectral clustering with group fairness constraints

Ji Wang

Ding Lu

Ian Davidson

Zhaojun Bai

2023/4/11

Benefits and harms of interventions to improve anxiety, depression, and other mental health outcomes for autistic people: A systematic review and network meta-analysis of …

Audrey Linden

Lawrence Best

Freya Elise

Danielle Roberts

Aoife Branagan

...

2023/1

Deep learning for prognosis using task-fmri: A novel architecture and training scheme

Ge Shi

Jason Smucny

Ian Davidson

2022/8/14

Deep learning in neuroimaging: Overcoming challenges with emerging approaches

Frontiers in Psychiatry

Jason Smucny

Ge Shi

Ian Davidson

2022/6/2

Data augmentation with Mixup: Enhancing performance of a functional neuroimaging-based prognostic deep learning classifier in recent onset psychosis

NeuroImage: Clinical

Jason Smucny

Ge Shi

Tyler A Lesh

Cameron S Carter

Ian Davidson

2022/1/1

Towards Auditing Unsupervised Learning Algorithms and Human Processes For Fairness

arXiv preprint arXiv:2209.11762

Ian Davidson

SS Ravi

2022/9/20

Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms

arXiv preprint arXiv:2209.09670

Ian Davidson

Michael Livanos

Antoine Gourru

Peter Walker

Julien Velcin

...

2022/9/20

Falls in people post‐Guillain‐Barré syndrome in the United Kingdom: A national cross‐sectional survey of community based adults

Health & Social Care in the Community

Ian Davidson

Zachary J Parker

2022/9

Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)

Carlotta Demeniconi

Ian Davidson

2021

Deep fair discriminative clustering

arXiv preprint arXiv:2105.14146

Hongjing Zhang

Ian Davidson

2021/5/28

Towards description of block model on graph

Zilong Bai

SS Ravi

Ian Davidson

2021

Deep Descriptive Clustering

IJCAI 2021 - arXiv preprint arXiv:2105.11549

Hongjing Zhang

Ian Davidson

2021/5/24

A framework for deep constrained clustering

Data Mining and Knowledge Discovery

Hongjing Zhang

Tianyang Zhan

Sugato Basu

Ian Davidson

2021/3

See List of Professors in Ian Davidson University(University of California, Davis)

Co-Authors

H-index: 80
Fei Wang, FAMIA, FIAHSI, FACMI

Fei Wang, FAMIA, FIAHSI, FACMI

Cornell University

H-index: 71
Martin Ester

Martin Ester

Simon Fraser University

H-index: 67
Naren Ramakrishnan

Naren Ramakrishnan

Virginia Polytechnic Institute and State University

H-index: 66
Xingquan (Hill) Zhu

Xingquan (Hill) Zhu

Florida Atlantic University

H-index: 49
Sethuraman Panchanathan

Sethuraman Panchanathan

Arizona State University

H-index: 44
S. S. Ravi

S. S. Ravi

University of Virginia

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