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Most Cited & Viewed
Most Cited & Viewed Papers
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Machine Learning in Disaster Management: Recent Developments in Methods and Applications
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Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas and Yannis L. Karnavas
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A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
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Juan Terven, Diana-Margarita Córdova-Esparza and Julio-Alejandro Romero-González
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Machine Learning and Prediction of Infectious Diseases: A Systematic Review
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Omar Enzo Santangelo, Vito Gentile, Stefano Pizzo, Domiziana Giordano and Fabrizio Cedrone
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XAIR: A Systematic Metareview of Explainable AI (XAI) Aligned to the Software Development Process
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Tobias Clement, Nils Kemmerzell, Mohamed Abdelaal and Michael Amberg
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Fairness and Explanation in AI-Informed Decision Making
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Alessa Angerschmid, Jianlong Zhou, Kevin Theuermann, Fang Chen and Andreas Holzinger
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A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection
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Emilija Strelcenia and Simant Prakoonwit
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Systematic Review of Recommendation Systems for Course Selection
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Shrooq Algarni and Frederick Sheldon
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Detecting Arabic Cyberbullying Tweets Using Machine Learning
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Alanoud Mohammed Alduailaj and Aymen Belghith
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Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate
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Mohammad Mohammad Amini, Marcia Jesus, Davood Fanaei Sheikholeslami, Paulo Alves, Aliakbar Hassanzadeh Benam and Fatemeh Hariri
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Explainable Artificial Intelligence Using Expressive Boolean Formulas
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Gili Rosenberg, John Kyle Brubaker, Martin J. A. Schuetz, Grant Salton, Zhihuai Zhu, Elton Yechao Zhu, Serdar Kadıoğlu, Sima E. Borujeni and Helmut G. Katzgraber
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Causal Discovery with Attention-Based Convolutional Neural Networks
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Meike Nauta, Doina Bucur and Christin Seifert
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Understanding Statistical Hypothesis Testing: The Logic of Statistical Inference
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Frank Emmert-Streib and Matthias Dehmer
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Machine Learning in Disaster Management: Recent Developments in Methods and Applications
by
Vasileios Linardos, Maria Drakaki, Panagiotis Tzionas and Yannis L. Karnavas
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Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology
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Stefan Studer, Thanh Binh Bui, Christian Drescher, Alexander Hanuschkin, Ludwig Winkler, Steven Peters and Klaus-Robert Müller
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Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
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Matthias Hutsebaut-Buysse, Kevin Mets and Steven Latré
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A CNN-BiLSTM Model for Document-Level Sentiment Analysis
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Maryem Rhanoui, Mounia Mikram, Siham Yousfi and Soukaina Barzali
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A Survey of Machine Learning-Based Solutions for Phishing Website Detection
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Lizhen Tang and Qusay H. Mahmoud
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Particle Swarm Optimization: A Survey of Historical and Recent Developments with Hybridization Perspectives
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Saptarshi Sengupta, Sanchita Basak and Richard Alan Peters II
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AI System Engineering—Key Challenges and Lessons Learned
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Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobiezky, Werner Zellinger, David Brunner, Mohit Kumar and Bernhard Moser
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