Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
by Juan Terven, Diana-Margarita Córdova-Esparza and Julio-Alejandro Romero-González
Machine Learning in Disaster Management: Recent Developments in Methods and Applications
by Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas and Yannis L. Karnavas
 
Fairness and Explanation in AI-Informed Decision Making
by Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, Fang Chen and Andreas Holzinger
 
Robust Reinforcement Learning: A Review of Foundations and Recent Advances
by Janosch Moos, Kay Hansel, Hany Abdulsamad, Svenja Stark, Debora Clever and Jan Peters
 
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
by Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal and Michael Amberg
 
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
by Matthias Hutsebaut-Buysse, Kevin Mets and Steven Latré
 
Machine Learning and Prediction of Infectious Diseases: A Systematic Review
by Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano and Fabrizio Cedrone
 
Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate
by Mohammad Mohammad Amini, Marcia Jesus, Davood Fanaei Sheikholeslami, Paulo Alves, Aliakbar Hassanzadeh Benam and Fatemeh Hariri
 
Detecting Arabic Cyberbullying Tweets Using Machine Learning
by Alanoud Mohammed Alduailaj and Aymen Belghith
 
A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection
by Emilija Strelcenia and Simant Prakoonwit
Views Article
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
by Juan Terven, Diana-Margarita Córdova-Esparza and Julio-Alejandro Romero-González
Machine Learning in Disaster Management: Recent Developments in Methods and Applications
by Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas and Yannis L. Karnavas
Machine Learning and Prediction of Infectious Diseases: A Systematic Review
by Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano and Fabrizio Cedrone
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
by Matthias Hutsebaut-Buysse, Kevin Mets and Steven Latré
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
by Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal and Michael Amberg
Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
by Mohammed G. Alsubaie, Suhuai Luo and Kamran Shaukat
Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate
by Mohammad Mohammad Amini, Marcia Jesus, Davood Fanaei Sheikholeslami, Paulo Alves, Aliakbar Hassanzadeh Benam and Fatemeh Hariri
Robust Reinforcement Learning: A Review of Foundations and Recent Advances
by Janosch Moos, Kay Hansel, Hany Abdulsamad, Svenja Stark, Debora Clever and Jan Peters
Fairness and Explanation in AI-Informed Decision Making
by Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, Fang Chen and Andreas Holzinger
Systematic Review of Recommendation Systems for Course Selection
by Shrooq Algarni and Frederick Sheldon
Downloads Article
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
by Juan Terven, Diana-Margarita Córdova-Esparza and Julio-Alejandro Romero-González
Machine Learning in Disaster Management: Recent Developments in Methods and Applications
by Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas and Yannis L. Karnavas
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
by Matthias Hutsebaut-Buysse, Kevin Mets and Steven Latré
Robust Reinforcement Learning: A Review of Foundations and Recent Advances
by Janosch Moos, Kay Hansel, Hany Abdulsamad, Svenja Stark, Debora Clever and Jan Peters
Fairness and Explanation in AI-Informed Decision Making
by Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, Fang Chen and Andreas Holzinger
Machine Learning and Prediction of Infectious Diseases: A Systematic Review
by Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano and Fabrizio Cedrone
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
by Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal and Michael Amberg
Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
by Mohammed G. Alsubaie, Suhuai Luo and Kamran Shaukat
Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate
by Mohammad Mohammad Amini, Marcia Jesus, Davood Fanaei Sheikholeslami, Paulo Alves, Aliakbar Hassanzadeh Benam and Fatemeh Hariri
An Attention-Based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
by Tareq Tayeh, Sulaiman Aburakhia, Ryan Myers and Abdallah Shami
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