Predicting Early recurrence of atrial fibrilation post-catheter ablation using machine learning techniques by Amir Askarinejad, Amirreza Sabahizadeh, Erfan Kohansal, Zahra Ghasemi, Majid Haghjoo

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Threat Modeling AI/ML With the Attack Tree by Seied Veria Hoseini, Jaakko Suutala, Juha Partala, Kimmo Halunen

Subjects: “…Machine learning…”
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AI‐Driven Applications in Clinical Pharmacology and Translational Science: Insights From the ASCPT 2024 AI Preconference by Mohamed H. Shahin, Prashant Desai, Nadia Terranova, Yuanfang Guan, Tomáš Helikar, Sebastian Lobentanzer, Qi Liu, James Lu, Subha Madhavan, Gary Mo, Flora T. Musuamba, Jagdeep T. Podichetty, Jie Shen, Lei Xie, Mathew Wiens, Cynthia J. Musante

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Evaluating the Ethical Practices in Developing AI and Ml Systems in Tanzania by Lazaro Inon Kumbo, Victor Simon Nkwera, Rodrick Frank Mero

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Expert-augmented machine learning for predicting extubation readiness in the pediatric intensive care unit by Jean Digitale, Deborah Franzon, Jin Ge, Charles McCulloch, Mark J. Pletcher, Efstathios D. Gennatas

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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

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The Role of Country- and Firm-Level Factors in Determining Firms’ Environmental, Social, and Governance (ESG) Performance: A Machine Learning Approach by Eman Abdelfattah, Mahfuja Malik, Syed Muhammad Ishraque Osman

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Active learning model used for android malware detection by Md․Habibullah Shakib, Md. Yeasin, Kh. Mustafizur Rahman, Fabiha Faiz Mahi, Md. Mahsin-Ul-Islam, Saddam Hossain

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A Machine Learning Approach for Quantifying Academic Misconduct by Almasi S. Maguya

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Developing tunable machine learning workflow for traffic analysis in SDN by Samaan Sama Salam, Jeiad Hassan Awheed

Subjects: “…machine learning pipeline…”
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Time-Adaptive Machine Learning Models for Predicting the Severity of Heart Failure with Reduced Ejection Fraction by Trevor Winger, Cagri Ozdemir, Shanti L. Narasimhan, Jaideep Srivastava

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Editorial: Applications of machine learning in volcanology by Pierdomenico Romano, Bellina Di Lieto, Silvia Scarpetta, Carmen Benítez, Yosuke Aoki

Subjects: “…machine learning in volcanology…”
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Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption by Hong Cheng

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Unraveling the Nexus of ML and 6G: Challenges, Opportunities, and Future Directions by Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Abul Kalam Azad, John Ekoru, Milka Madahana

Subjects: “…Machine learning…”
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Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions by Deepak Ranga, Aryan Rana, Sunil Prajapat, Pankaj Kumar, Kranti Kumar, Athanasios V. Vasilakos

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An ensemble machine learning approach for classification tasks using feature generation by Wenjuan Feng, Jin Gou, Zongwen Fan, Xiang Chen

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Membership Inference Attacks and Differential Privacy: A Study Within the Context of Generative Models by Borja Arroyo Galende, Patricia A. Apellaniz, Juan Parras, Santiago Zazo, Silvia Uribe

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Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia by Wudneh Ketema Moges, Awoke Seyoum Tegegne, Aweke A. Mitku, Esubalew Tesfahun, Solomon Hailemeskel

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A Practice-Oriented Computational Thinking Framework for Teaching Neural Networks to Working Professionals by Jing Tian

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A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models by Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, Mohammad Lutfi Othman, Mohammad Effendy Ya’acob, Noor Izzri Bin Abdul Wahab, Masoud Ahmadipour

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