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Going to Extremes: Weakly Supervised Medical Image Segmentation
Roth, Holger R., Yang, Dong, Xu, Ziyue, Wang, Xiaosong, Xu, Daguang
Published in Machine learning and knowledge extraction (01.06.2021)
Published in Machine learning and knowledge extraction (01.06.2021)
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TabFairGAN: Fair Tabular Data Generation with Generative Adversarial Networks
Rajabi, Amirarsalan, Garibay, Ozlem Ozmen
Published in Machine learning and knowledge extraction (01.06.2022)
Published in Machine learning and knowledge extraction (01.06.2022)
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Artificial Intelligence Ethics and Challenges in Healthcare Applications: A Comprehensive Review in the Context of the European GDPR Mandate
Mohammad Amini, Mohammad, Jesus, Marcia, Fanaei Sheikholeslami, Davood, Alves, Paulo, Hassanzadeh Benam, Aliakbar, Hariri, Fatemeh
Published in Machine learning and knowledge extraction (01.08.2023)
Published in Machine learning and knowledge extraction (01.08.2023)
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Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
Alsubaie, Mohammed G., Luo, Suhuai, Shaukat, Kamran
Published in Machine learning and knowledge extraction (01.02.2024)
Published in Machine learning and knowledge extraction (01.02.2024)
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Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error
Emmert-Streib, Frank, Dehmer, Matthias
Published in Machine learning and knowledge extraction (01.03.2019)
Published in Machine learning and knowledge extraction (01.03.2019)
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Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication
Siddiqui, Nyle, Dave, Rushit, Vanamala, Mounika, Seliya, Naeem
Published in Machine learning and knowledge extraction (01.06.2022)
Published in Machine learning and knowledge extraction (01.06.2022)
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A Multi-Component Framework for the Analysis and Design of Explainable Artificial Intelligence
Kim, Mi-Young, Atakishiyev, Shahin, Babiker, Housam Khalifa Bashier, Farruque, Nawshad, Goebel, Randy, Zaïane, Osmar R., Motallebi, Mohammad-Hossein, Rabelo, Juliano, Syed, Talat, Yao, Hengshuai, Chun, Peter
Published in Machine learning and knowledge extraction (01.12.2021)
Published in Machine learning and knowledge extraction (01.12.2021)
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Privacy and Trust Redefined in Federated Machine Learning
Papadopoulos, Pavlos, Abramson, Will, Hall, Adam J., Pitropakis, Nikolaos, Buchanan, William J.
Published in Machine learning and knowledge extraction (01.06.2021)
Published in Machine learning and knowledge extraction (01.06.2021)
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When Federated Learning Meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection
Lansari, Mohammed, Bellafqira, Reda, Kapusta, Katarzyna, Thouvenot, Vincent, Bettan, Olivier, Coatrieux, Gouenou
Published in Machine learning and knowledge extraction (01.12.2023)
Published in Machine learning and knowledge extraction (01.12.2023)
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Alzheimer’s Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier
Shukla, Amar, Tiwari, Rajeev, Tiwari, Shamik
Published in Machine learning and knowledge extraction (01.05.2023)
Published in Machine learning and knowledge extraction (01.05.2023)
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Human Pose Estimation Using Deep Learning: A Systematic Literature Review
Samkari, Esraa, Arif, Muhammad, Alghamdi, Manal, Al Ghamdi, Mohammed A.
Published in Machine learning and knowledge extraction (01.12.2023)
Published in Machine learning and knowledge extraction (01.12.2023)
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Learning to Teach Reinforcement Learning Agents
Fachantidis, Anestis, Taylor, Matthew, Vlahavas, Ioannis
Published in Machine learning and knowledge extraction (01.12.2019)
Published in Machine learning and knowledge extraction (01.12.2019)
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A Comprehensive Survey on Deep Learning Methods in Human Activity Recognition
Kaseris, Michail, Kostavelis, Ioannis, Malassiotis, Sotiris
Published in Machine learning and knowledge extraction (01.06.2024)
Published in Machine learning and knowledge extraction (01.06.2024)
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