Search Results - "R. Zaiane, Osmar"

Refine Results
  1. 1

    Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis by Li, Lanting, Wen, Guangqi, Cao, Peng, Liu, Xiaoli, R. Zaiane, Osmar, Yang, Jinzhu

    “…Purpose Finding the biomarkers associated with autism spectrum disorder (ASD) is helpful for understanding the underlying roots of the disorder and can lead to…”
    Get full text
    Journal Article
  2. 2

    Anomaly Detection in Resource Constrained Environments With Streaming Data by Jain, Prarthi, Jain, Seemandhar, Zaiane, Osmar R., Srivastava, Abhishek

    “…Isolation Forest (or iForest ) is a well-known technique for anomaly detection. It is, however, a bulky approach that assumes the luxury of large storage space…”
    Get full text
    Journal Article
  3. 3

    A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence by Kim, Mi-Young, Atakishiyev, Shahin, Babiker, Housam Khalifa Bashier, Farruque, Nawshad, Goebel, Randy, Zaïane, Osmar R., Motallebi, Mohammad-Hossein, Rabelo, Juliano, Syed, Talat, Yao, Hengshuai, Chun, Peter

    Published in Machine learning and knowledge extraction (01-12-2021)
    “…The rapid growth of research in explainable artificial intelligence (XAI) follows on two substantial developments. First, the enormous application success of…”
    Get full text
    Journal Article
  4. 4
  5. 5

    Educational data mining applications and tasks: A survey of the last 10 years by Bakhshinategh, Behdad, Zaiane, Osmar R., ElAtia, Samira, Ipperciel, Donald

    “…Educational Data Mining (EDM) is the field of using data mining techniques in educational environments. There exist various methods and applications in EDM…”
    Get full text
    Journal Article
  6. 6

    Discovering co-location patterns with aggregated spatial transactions and dependency rules by Jabbar, Mohomed Shazan Mohomed, Bellinger, Colin, Zaïane, Osmar R., Osornio-Vargas, Alvaro

    “…Co-location pattern mining focuses on finding associations among spatial features. Existing co-location pattern mining techniques mainly rely on frequency…”
    Get full text
    Journal Article
  7. 7

    Modeling the dynamic brain network representation for autism spectrum disorder diagnosis by Cao, Peng, Wen, Guangqi, Liu, Xiaoli, Yang, Jinzhu, Zaiane, Osmar R.

    “…The dynamic functional connectivity analysis provides valuable information for understanding functional brain activity underlying different cognitive…”
    Get full text
    Journal Article
  8. 8

    Artificial intelligence enabled automated diagnosis and grading of ulcerative colitis endoscopy images by Sutton, Reed T., Zai͏̈ane, Osmar R., Goebel, Randolph, Baumgart, Daniel C.

    Published in Scientific reports (17-02-2022)
    “…Endoscopic evaluation to reliably grade disease activity, detect complications including cancer and verification of mucosal healing are paramount in the care…”
    Get full text
    Journal Article
  9. 9

    A Collaborative Self-Supervised Domain Adaptation for Low-Quality Medical Image Enhancement by Hou, Qingshan, Wang, Yaqi, Cao, Peng, Cheng, Shuai, Lan, Linqi, Yang, Jinzhu, Liu, Xiaoli, Zaiane, Osmar R.

    Published in IEEE transactions on medical imaging (01-07-2024)
    “…Medical image analysis techniques have been employed in diagnosing and screening clinical diseases. However, both poor medical image quality and illumination…”
    Get full text
    Journal Article
  10. 10

    Collaborative learning of graph generation, clustering and classification for brain networks diagnosis by Yang, Wenju, Wen, Guangqi, Cao, Peng, Yang, Jinzhu, Zaiane, Osmar R.

    “…•We develop a supervised multi-graph clustering for removing the noisy functional connections from the group level and identifying the critical graph…”
    Get full text
    Journal Article
  11. 11

    WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network by Shen, Zhiqiang, Cao, Peng, Yang, Jinzhu, Zaiane, Osmar R.

    Published in Computers in biology and medicine (01-03-2023)
    “…Computer-aided lung cancer diagnosis (CAD) system on computed tomography (CT) helps radiologists guide preoperative planning and prognosis assessment. The…”
    Get full text
    Journal Article
  12. 12

    Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading by Hou, Qingshan, Cao, Peng, Jia, Liyu, Chen, Leqi, Yang, Jinzhu, Zaiane, Osmar R.

    “…Diabetic retinopathy (DR) is one of the most serious complications of diabetes and is a prominent cause of permanent blindness. However, the low-quality fundus…”
    Get full text
    Journal Article
  13. 13

    BrainTGL: A dynamic graph representation learning model for brain network analysis by Liu, Lingwen, Wen, Guangqi, Cao, Peng, Hong, Tianshun, Yang, Jinzhu, Zhang, Xizhe, Zaiane, Osmar R.

    Published in Computers in biology and medicine (01-02-2023)
    “…Modeling the dynamics characteristics in functional brain networks (FBNs) is important for understanding the functional mechanism of the human brain. However,…”
    Get full text
    Journal Article
  14. 14

    Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification by Li, Lanting, Cao, Peng, Yang, Jinzhu, Zaiane, Osmar R.

    “…The diagnosis of chest diseases is a challenging task for assessing thousands of radiology subjects. Their diagnosis decisions heavily rely on the expert…”
    Get full text
    Journal Article
  15. 15

    BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis by Song, Ruoxian, Cao, Peng, Wen, Guangqi, Zhao, Pengfei, Huang, Ziheng, Zhang, Xizhe, Yang, Jinzhu, Zaiane, Osmar R.

    Published in Medical image analysis (01-08-2024)
    “…In the medical field, datasets are mostly integrated across sites due to difficult data acquisition and insufficient data at a single site. The domain shift…”
    Get full text
    Journal Article
  16. 16

    Graph Self-supervised Learning with Application to Brain Networks Analysis by Wen, Guangqi, Cao, Peng, Liu, Lingwen, Yang, Jinzhu, Zhang, Xizhe, Wang, Fei, Zaiane, Osmar R.

    “…The less training data and insufficient supervision limit the performance of the deep supervised models for brain disease diagnosis. It is significant to…”
    Get full text
    Journal Article
  17. 17

    Exploiting task relationships for Alzheimer’s disease cognitive score prediction via multi-task learning by Liang, Wei, Zhang, Kai, Cao, Peng, Liu, Xiaoli, Yang, Jinzhu, Zaiane, Osmar R.

    Published in Computers in biology and medicine (01-01-2023)
    “…Alzheimer’s disease (AD) is highly prevalent and a significant cause of dementia and death in elderly individuals. Motivated by breakthroughs of multi-task…”
    Get full text
    Journal Article
  18. 18

    Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation by Wang, Yaqi, Hou, Qingshan, Cao, Peng, Yang, Jinzhu, RZaiane, Osmar

    “…Retinal fundus images have been widely utilized for screening Diabetic Retinopathy (DR). The lesion information contained in these images is indispensable for…”
    Get full text
    Journal Article
  19. 19

    Extracellular Proteomes of Arabidopsis Thaliana and Brassica Napus Roots: Analysis and Comparison by MudPIT and LC-MS/MS by Basu, U, Francis, J.L, Whittal, R.M, Stephens, J.L, Wang, Y, Zaiane, O.R, Goebel, R, Muench, D.G, Good, A.G, Taylor, G.J

    Published in Plant and soil (01-08-2006)
    “…An important principle of the functional organization of plant cells is the targeting of proteins to specific subcellular locations. The physical location of…”
    Get full text
    Journal Article
  20. 20

    Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach by Farruque, Nawshad, Goebel, Randy, Sivapalan, Sudhakar, Zaïane, Osmar R.

    Published in Language resources and evaluation (01-09-2024)
    “…A fundamental component of user-level social media language based clinical depression modelling is depression symptoms detection (DSD). Unfortunately, there…”
    Get full text
    Journal Article