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Current State of Text Sentiment Analysis from Opinion to Emotion Mining

ACM computing surveys, 2018-03, Vol.50 (2), p.1-33

2018

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Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis

International journal for computer assisted radiology and surgery, 2023-04, Vol.18 (4), p.663-673

2023

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Sequence-Based Approaches to Course Recommender Systems

Database and Expert Systems Applications, p.35-50

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Anomaly Detection in Resource Constrained Environments With Streaming Data

IEEE transactions on emerging topics in computational intelligence, 2022-06, Vol.6 (3), p.649-659

2022

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A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence

Machine learning and knowledge extraction, 2021-12, Vol.3 (4), p.900-921

2021

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Data Mining and Learning Analytics: Applications in Educational Research

1, 2016

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Mining Multimedia and Complex Data: KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers

2003, 2003

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Interdisciplinary-driven hypotheses on spatial associations of mixtures of industrial air pollutants with adverse birth outcomes

Environment international, 2019-10, Vol.131, p.104972, Article 104972

2019

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

Education and information technologies, 2018, Vol.23 (1), p.537-553

2018

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Artificial intelligence enabled automated diagnosis and grading of ulcerative colitis endoscopy images

Scientific reports, 2022-02, Vol.12 (1), p.2748-10, Article 2748

2022

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Modeling the dynamic brain network representation for autism spectrum disorder diagnosis

Medical & biological engineering & computing, 2022-07, Vol.60 (7), p.1897-1913

2022

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Community Dynamics: Event and Role Analysis in Social Network Analysis

Advanced Data Mining and Applications, p.85-97

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

IEEE transactions on medical imaging, 2024-07, Vol.43 (7), p.2479-2494

2024

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Collaborative learning of graph generation, clustering and classification for brain networks diagnosis

Computer methods and programs in biomedicine, 2022-06, Vol.219, p.106772-106772, Article 106772

2022

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

Computers in biology and medicine, 2023-03, Vol.154, p.106587-106587, Article 106587

2023

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Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading

IEEE journal of biomedical and health informatics, 2023-03, Vol.27 (3), p.1455-1466

2023

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

Computers in biology and medicine, 2023-02, Vol.153, p.106521-106521, Article 106521

2023

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BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis

Medical image analysis, 2024-08, Vol.96, p.103211, Article 103211

2024

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Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation

Big Data Analytics and Knowledge Discovery, p.327-342

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Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification

Medical & biological engineering & computing, 2022-09, Vol.60 (9), p.2567-2588

2022

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Exploiting task relationships for Alzheimer’s disease cognitive score prediction via multi-task learning

Computers in biology and medicine, 2023-01, Vol.152, p.106367-106367, Article 106367

2023

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Graph Self-supervised Learning with Application to Brain Networks Analysis

IEEE journal of biomedical and health informatics, 2023-08, Vol.27 (8), p.1-12

2023

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Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation

Applied intelligence (Dordrecht, Netherlands), 2024, Vol.54 (2), p.1937-1956

2024

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Digital Economy. Emerging Technologies and Business Innovation: Second International Conference, ICDEc 2017, Sidi Bou Said, Tunisia, May 4-6, 2017, Proceedings

1, 2017

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Discovering co-location patterns with aggregated spatial transactions and dependency rules

International journal of data science and analytics, 2018-03, Vol.5 (2-3), p.137-154

2018

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Current State of Text Sentiment Analysis from Opinion to Emotion Mining

Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis

Sequence-Based Approaches to Course Recommender Systems

Anomaly Detection in Resource Constrained Environments With Streaming Data

A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence

Data Mining and Learning Analytics: Applications in Educational Research

Mining Multimedia and Complex Data: KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers

Interdisciplinary-driven hypotheses on spatial associations of mixtures of industrial air pollutants with adverse birth outcomes

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

Artificial intelligence enabled automated diagnosis and grading of ulcerative colitis endoscopy images

Modeling the dynamic brain network representation for autism spectrum disorder diagnosis

Community Dynamics: Event and Role Analysis in Social Network Analysis

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

Collaborative learning of graph generation, clustering and classification for brain networks diagnosis

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

Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading

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

BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis

Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation

Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification

Exploiting task relationships for Alzheimer’s disease cognitive score prediction via multi-task learning

Graph Self-supervised Learning with Application to Brain Networks Analysis

Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation

Digital Economy. Emerging Technologies and Business Innovation: Second International Conference, ICDEc 2017, Sidi Bou Said, Tunisia, May 4-6, 2017, Proceedings

Discovering co-location patterns with aggregated spatial transactions and dependency rules

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