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Machine Learning

1st Edition 2021, 2021

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Trustworthy Federated Learning: First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers

1st Edition 2023, 2023

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Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

1, 2022

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Machine Learning in Clinical Neuroimaging: 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

1st Edition 2022, 2022

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Continual Semi-Supervised Learning: First International Workshop, CSSL 2021, Virtual Event, August 19-20, 2021, Revised Selected Papers

1, 2022

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Zika Virus Disrupts Neural Progenitor Development and Leads to Microcephaly in Mice

Cell stem cell, 2016-07, Vol.19 (1), p.120-126

2016

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Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

1st ed. 2021., 2021

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Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

1st ed. 2021., 2021

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A REVIEW OF DEEP LEARNING APPROACHES FOR INVERSE SCATTERING PROBLEMS (INVITED REVIEW)

Electromagnetic waves (Cambridge, Mass.), 2020-01, Vol.167, p.67-81

2020

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Advances in Web-Based Learning - ICWL 2021: 20th International Conference, ICWL 2021, Macau, China, November 13-14, 2021, Proceedings

1st Edition 2021, 2021

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Recent Advances in Learning Automata

1st ed. 2018., 2018

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Informatics in Schools. Engaging Learners in Computational Thinking: 13th International Conference, ISSEP 2020, Tallinn, Estonia, November 16-18, 2020, Proceedings

1st ed. 2020., 2020

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Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

1st ed. 2020., 2020

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Brain Function Assessment in Learning: Second International Conference, BFAL 2020, Heraklion, Crete, Greece, October 9-11, 2020, Proceedings

1st ed. 2020., 2020

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Supervised Learning with Quantum Computers

1, 2018

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Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

1st ed. 2019., 2019

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Deep Learning for Anomaly Detection: A Review

ACM computing surveys, 2021-04, Vol.54 (2), p.1-38

2021

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Graph Learning in Medical Imaging: First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

1st Edition 2019, 2019

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Adaptive feedback from artificial neural networks facilitates pre-service teachers’ diagnostic reasoning in simulation-based learning

Learning and instruction, 2023-02, Vol.83, p.101620, Article 101620

2023

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Deep Learning: Methods and Applications

Foundations and trends in signal processing, 2014, Vol.7 (3–4), p.197-387

2014

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Neural Networks and Deep Learning: A Textbook

Aggarwal, Charu C

Second edition, 2023

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An Introduction to Deep Reinforcement Learning

Foundations and trends in machine learning, 2018, Vol.11 (3-4), p.219-354

2018

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Translanguaging with Multilingual Students: Learning from Classroom Moments

1st edition., 2016

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Image Segmentation Using Deep Learning: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2022-07, Vol.44 (7), p.3523-3542

2022

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Generalizing from a Few Examples: A Survey on Few-shot Learning

ACM computing surveys, 2020-06, Vol.53 (3), p.1-34

2020

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Machine Learning

Trustworthy Federated Learning: First International Workshop, FL 2022, Held in Conjunction with IJCAI 2022, Vienna, Austria, July 23, 2022, Revised Selected Papers

Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Machine Learning in Clinical Neuroimaging: 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Continual Semi-Supervised Learning: First International Workshop, CSSL 2021, Virtual Event, August 19-20, 2021, Revised Selected Papers

Zika Virus Disrupts Neural Progenitor Development and Leads to Microcephaly in Mice

Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

A REVIEW OF DEEP LEARNING APPROACHES FOR INVERSE SCATTERING PROBLEMS (INVITED REVIEW)

Advances in Web-Based Learning - ICWL 2021: 20th International Conference, ICWL 2021, Macau, China, November 13-14, 2021, Proceedings

Recent Advances in Learning Automata

Informatics in Schools. Engaging Learners in Computational Thinking: 13th International Conference, ISSEP 2020, Tallinn, Estonia, November 16-18, 2020, Proceedings

Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Brain Function Assessment in Learning: Second International Conference, BFAL 2020, Heraklion, Crete, Greece, October 9-11, 2020, Proceedings

Supervised Learning with Quantum Computers

Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Deep Learning for Anomaly Detection: A Review

Graph Learning in Medical Imaging: First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Adaptive feedback from artificial neural networks facilitates pre-service teachers’ diagnostic reasoning in simulation-based learning

Deep Learning: Methods and Applications

Neural Networks and Deep Learning: A Textbook

An Introduction to Deep Reinforcement Learning

Translanguaging with Multilingual Students: Learning from Classroom Moments

Image Segmentation Using Deep Learning: A Survey

Generalizing from a Few Examples: A Survey on Few-shot Learning

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