Most Cited & Viewed

Most Cited & Viewed Papers

Citations Article
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
by Vanessa Buhrmester, David Münch and Michael Arens
 
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
by Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters and Klaus-Robert Müller
 
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
 
Deterministic Local Interpretable Model-Agnostic Explanations for Stable Explainability
by Muhammad Rehman Zafar and Naimul Khan
 
Classification of Explainable Artificial Intelligence Methods through Their Output Formats
by Giulia Vilone and Luca Longo
 
A Survey of Machine Learning-Based Solutions for Phishing Website Detection
by Lizhen Tang and Qusay H. Mahmoud
 
Explainable Artificial Intelligence for Human Decision Support System in the Medical Domain
by Samanta Knapič, Avleen Malhi, Rohit Saluja and Kary Främling
 
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
Views Article
Machine Learning in Disaster Management: Recent Developments in Methods and Applications
by Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas and Yannis L. Karnavas
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
by Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters and Klaus-Robert Müller
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
by Matthias Hutsebaut-Buysse, Kevin Mets and Steven Latré
A Survey of Machine Learning-Based Solutions for Phishing Website Detection
by Lizhen Tang and Qusay H. Mahmoud
Machine Learning and Prediction of Infectious Diseases: A Systematic Review
by Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano and Fabrizio Cedrone
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
Classification of Explainable Artificial Intelligence Methods through Their Output Formats
by Giulia Vilone and Luca Longo
Machine Learning Based Restaurant Sales Forecasting
by Austin Schmidt, Md Wasi Ul Kabir and Md Tamjidul Hoque
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
Downloads Article
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
by Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters and Klaus-Robert Müller
Machine Learning in Disaster Management: Recent Developments in Methods and Applications
by Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas and Yannis L. Karnavas
A Survey of Machine Learning-Based Solutions for Phishing Website Detection
by Lizhen Tang and Qusay H. Mahmoud
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
by Matthias Hutsebaut-Buysse, Kevin Mets and Steven Latré
Recent Advances in Deep Reinforcement Learning Applications for Solving Partially Observable Markov Decision Processes (POMDP) Problems: Part 1—Fundamentals and Applications in Games, Robotics and Natural Language Processing
by Xuanchen Xiang and Simon Foo
Robust Reinforcement Learning: A Review of Foundations and Recent Advances
by Janosch Moos, Kay Hansel, Hany Abdulsamad, Svenja Stark, Debora Clever and Jan Peters
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
Explainable Artificial Intelligence for Human Decision Support System in the Medical Domain
by Samanta Knapič, Avleen Malhi, Rohit Saluja and Kary Främling
Fairness and Explanation in AI-Informed Decision Making
by Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, Fang Chen and Andreas Holzinger
Classification of Explainable Artificial Intelligence Methods through Their Output Formats
by Giulia Vilone and Luca Longo
Back to TopTop