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Osmar R. Zaïane

Osmar R. Zaïane

Award Badge
Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
69
Citations
21614
World Ranking
1960
National Ranking
71

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Osmar R. Zaïane is affiliated with the University of Alberta in Canada, where they focus on research primarily within the fields of Computer Science and Medicine. Their work covers various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, and Neurology.

The scientist's research spans several key topics, illustrating a multidisciplinary approach. These topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Functional Brain Connectivity Studies
  • Brain Tumor Detection and Classification
  • COVID-19 Diagnosis Using AI
  • Multimodal Machine Learning Applications
  • Mental Health via Writing

Osmar R. Zaïane has contributed to numerous publications, commonly appearing in the following venues:

  • arXiv (Cornell University)
  • Computers in Biology and Medicine
  • Applied Intelligence
  • Medical & Biological Engineering & Computing
  • Computer Methods and Programs in Biomedicine

Some recent papers by Zaïane include:

  • "U2-Net: Going deeper with nested U-structure for salient object detection," 2020, Pattern Recognition
  • "UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer," 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction," 2020, Computers in Biology and Medicine
  • "MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis," 2022, Computers in Biology and Medicine
  • "On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?," 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

The scientist frequently collaborates with other researchers. Notable coauthors include:

  • Jinzhu Yang
  • Peng Cao
  • Guangqi Wen
  • Nawshad Farruque

Best Publications

  • U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection

    Unknown

  • UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer

    Unknown

  • Discovering Web access patterns and trends by applying OLAP and data mining technology on Web logs

    O.R. Zaiane;Man Xin;Jiawei Han

  • Privacy Preserving Clustering by Data Transformation

    Stanley R. M. Oliveira;Osmar R. Zaiane

  • Building a recommender agent for e-learning systems

    O.R. Zaiane

  • Current State of Text Sentiment Analysis from Opinion to Emotion Mining

    Ali Yadollahi;Ameneh Gholipour Shahraki;Osmar R. Zaiane

  • DMQL: A Data Mining Query Language for Relational Databases

    Jiawei Han;Yongjian Fu;Wei Wang;Krzysztof Koperski

  • Application of data mining techniques for medical image classification

    Maria-Luiza Antonie;Osmar R. Zaïane;Alexandru Coman

  • Web Usage Mining for a Better Web-Based Learning Environment

    Osmar Zaiane

  • Privacy preserving frequent itemset mining

    Stanley R. M. Oliveira;Osmar R. Zaïane

  • Clustering and Sequential Pattern Mining of Online Collaborative Learning Data

    D. Perera;J. Kay;I. Koprinska;K. Yacef

  • Incremental mining of frequent patterns without candidate generation or support constraint

    W. Cheung;O.R. Zaiane

  • DBMiner: a system for mining knowledge in large relational databases

    Jiawei Han;Yongjian Fu;Wei Wang;Jenny Chiang

  • Educational data mining applications and tasks: A survey of the last 10 years

    Behdad Bakhshinategh;Osmar R. Zaiane;Samira Elatia;Donald Ipperciel

  • Mining positive and negative association rules: an approach for confined rules

    Maria-Luiza Antonie;Osmar R. Zaïane

  • Protecting sensitive knowledge by data sanitization

    S.R.M. Oliveira;O.R. Zaiane

  • A systematic review of data mining and machine learning for air pollution epidemiology.

    Colin Bellinger;Mohomed Shazan Mohomed Jabbar;Osmar Zaïane;Alvaro Osornio-Vargas

  • Text document categorization by term association

    M.-L. Antonie;O.R. Zaiane

  • Fast parallel association rule mining without candidacy generation

    O.R. Zaiane;M. El-Hajj;P. Lu

  • Achieving Privacy Preservation when Sharing Data for Clustering

    Stanley R. M. Oliveira;Stanley R. M. Oliveira;Osmar R. Zaïane

  • Towards evaluating learners' behaviour in a Web-based distance learning environment

    O.R. Zaiane;J. Luo

  • Local Community Identification in Social Networks

    Jiyang Chen;Osmar Zaïane;Randy Goebel

Frequent Co-Authors

Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Myra Spiliopoulou
Myra Spiliopoulou Otto-von-Guericke University Magdeburg
Jundong Li
Jundong Li University of Virginia
Jaideep Srivastava
Jaideep Srivastava University of Minnesota
Olfa Nasraoui
Olfa Nasraoui University of Louisville
Bamshad Mobasher
Bamshad Mobasher DePaul University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Longbing Cao
Longbing Cao University of Technology Sydney
Simaan AbouRizk
Simaan AbouRizk University of Alberta
Gregory J. Taylor
Gregory J. Taylor University of Alberta

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