Osmar Zaiane

Osmar Zaiane

University of Alberta

H-index: 71

North America-Canada

About Osmar Zaiane

Osmar Zaiane, With an exceptional h-index of 71 and a recent h-index of 38 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Data Mining, Social Network Analysis, Health Informatics, Data Privacy, Big Data Analytics.

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

Label correlation guided discriminative label feature learning for multi-label chest image classification

Deep temporal modelling of clinical depression through social media text

A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images

A Collaborative Self-supervised Domain Adaptation for Low-Quality Medical Image Enhancement.

Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach

Uncovering flat and hierarchical topics by Community Discovery on Word Co-occurrence Network

Capturing temporal node evolution via self-supervised learning: a new perspective on dynamic graph learning

MS-SSD: Multi-scale single shot detector for ship detection in remote sensing images

Osmar Zaiane Information

University

Position

- Alberta Machine Intelligence Institute

Citations(all)

19777

Citations(since 2020)

7462

Cited By

14535

hIndex(all)

71

hIndex(since 2020)

38

i10Index(all)

233

i10Index(since 2020)

129

Email

University Profile Page

University of Alberta

Google Scholar

View Google Scholar Profile

Osmar Zaiane Skills & Research Interests

Data Mining

Social Network Analysis

Health Informatics

Data Privacy

Big Data Analytics

Top articles of Osmar Zaiane

Title

Journal

Author(s)

Publication Date

Label correlation guided discriminative label feature learning for multi-label chest image classification

Computer Methods and Programs in Biomedicine

Kai Zhang

Wei Liang

Peng Cao

Xiaoli Liu

Jinzhu Yang

...

2024/3/1

Deep temporal modelling of clinical depression through social media text

Natural Language Processing Journal

Nawshad Farruque

Randy Goebel

Sudhakar Sivapalan

Osmar Zaïane

2024/3/1

A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images

arXiv preprint arXiv:2404.04887

Qingshan Hou

Shuai Cheng

Peng Cao

Jinzhu Yang

Xiaoli Liu

...

2024/4/7

A Collaborative Self-supervised Domain Adaptation for Low-Quality Medical Image Enhancement.

IEEE Transactions on Medical Imaging

Qingshan Hou

Yaqi Wang

Peng Cao

Shuai Cheng

Linqi Lan

...

2024/2/19

Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach

arXiv preprint arXiv:2209.02765

Nawshad Farruque

Randy Goebel

Sudhakar Sivapalan

Osmar Zaiane

2022/9/6

Uncovering flat and hierarchical topics by Community Discovery on Word Co-occurrence Network

Data Science and Engineering

Eric Austin

Shraddha Makwana

Amine Trabelsi

Christine Largeron

Osmar R Zaïane

2024/3/13

Capturing temporal node evolution via self-supervised learning: a new perspective on dynamic graph learning

Lingwen Liu

Guangqi Wen

Peng Cao

Jinzhu Yang

Weiping Li

...

2024/3/4

MS-SSD: Multi-scale single shot detector for ship detection in remote sensing images

Applied Intelligence

Guangqi Wen

Peng Cao

Haonan Wang

Hanlin Chen

Xiaoli Liu

...

2023/1

BrainTGL: A dynamic graph representation learning model for brain network analysis

Computers in Biology and Medicine

Lingwen Liu

Guangqi Wen

Peng Cao

Tianshun Hong

Jinzhu Yang

...

2023/2/1

Classification by Frequent Association Rules

Md Rayhan Kabir

Osmar Zaiane

2023/3/27

csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer’s Disease Cognitive Performance Prediction

Wei Liang

Kai Zhang

Peng Cao

Xiaoli Liu

Jinzhu Yang

...

2023/8/27

Modeling Alzheimers’ Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks

Wei Liang

Kai Zhang

Peng Cao

Pengfei Zhao

Xiaoli Liu

...

2023/10/1

Label correlation guided borderline oversampling for imbalanced multi-label data learning

Knowledge-Based Systems

Kai Zhang

Zhaoyang Mao

Peng Cao

Wei Liang

Jinzhu Yang

...

2023/11/4

MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation

Health Information Science and Systems

Haonan Wang

Peng Cao

Jinzhu Yang

Osmar Zaiane

2023/1/30

FREDA: Flexible Relation Extraction Data Annotation

Michael Strobl

Amine Trabelsi

Osmar Zaiane

2023/3/27

Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning

Guangqi Wen

Peng Cao

Zhiyong Jin

Ruoxian Song

Xiaoli Liu

...

2023/8/27

Exploring attention mechanism for graph similarity learning

Knowledge-Based Systems

Wenhui Tan

Xin Gao

Yiyang Li

Guangqi Wen

Peng Cao

...

2023/9/27

Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation

Chenyang Huang

Fei Huang

Zaixiang Zheng

Osmar R Zaiane

Hao Zhou

...

2023/11

Self-supervised domain adaptation for breaking the limits of low-quality fundus image quality enhancement

arXiv preprint arXiv:2301.06943

Qingshan Hou

Peng Cao

Jiaqi Wang

Xiaoli Liu

Jinzhu Yang

...

2023/1/17

WS-LungNet: a two-stage weakly-supervised lung cancer detection and diagnosis network

Computers in Biology and Medicine

Zhiqiang Shen

Peng Cao

Jinzhu Yang

Osmar R Zaiane

2023/3/1

See List of Professors in Osmar Zaiane University(University of Alberta)

Co-Authors

H-index: 202
Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

H-index: 160
Wei Wang

Wei Wang

University of California, Los Angeles

H-index: 47
Jundong Li

Jundong Li

University of Virginia

H-index: 45
Alvaro Osornio Vargas

Alvaro Osornio Vargas

University of Alberta

H-index: 36
Randy Goebel

Randy Goebel

University of Alberta

H-index: 32
Ze-Nian Li

Ze-Nian Li

Simon Fraser University

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