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
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
by Vanessa Buhrmester, David Münch and Michael Arens
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
 
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
 
A Transfer Learning Evaluation of Deep Neural Networks for Image Classification
by Nermeen Abou Baker, Nico Zengeler and Uwe Handmann
 
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
 
Machine Learning and Prediction of Infectious Diseases: A Systematic Review
by Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano and Fabrizio Cedrone
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
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
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
by Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal and Michael Amberg
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
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
Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
by Mohammed G. Alsubaie, Suhuai Luo and Kamran Shaukat
Machine Learning Based Restaurant Sales Forecasting
by Austin Schmidt, Md Wasi Ul Kabir and Md Tamjidul Hoque
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 Based Restaurant Sales Forecasting
by Austin Schmidt, Md Wasi Ul Kabir and Md Tamjidul Hoque
Machine Learning and Prediction of Infectious Diseases: A Systematic Review
by Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano and Fabrizio Cedrone
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
by Vanessa Buhrmester, David Münch and Michael Arens
XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
by Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal and Michael Amberg
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
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