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Machine learning and deep learning

Electronic markets, 2021-09, Vol.31 (3), p.685-695

2021

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Increased fear learning, spatial learning as well as neophobia in Rgs2−/− mice

Genes, brain and behavior, 2018-04, Vol.17 (4), p.e12420-n/a

2018

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Improving Learning Analytics - Combining Observational and Self-Report Data on Student Learning

Educational Technology ＆ Society, 2017-07, Vol.20 (3), p.158-169

2017

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The Effectiveness of the Flipped Classroom on Students' Learning Achievement and Learning Motivation: A Meta-Analysis

Educational Technology ＆ Society, 2020-01, Vol.23 (1), p.1-15

2020

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Affective e-Learning: Using “Emotional” Data to Improve Learning in Pervasive Learning Environment

Educational technology & society, 2009-04, Vol.12 (2), p.176-189

2009

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How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature

JAMA : the journal of the American Medical Association, 2019-11, Vol.322 (18), p.1806

2019

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Implementing Machine Learning in Health Care — Addressing Ethical Challenges

The New England journal of medicine, 2018-03, Vol.378 (11), p.981-983

2018

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Potential Negative Effects of Mobile Learning on Students' Learning Achievement and Cognitive Load—A Format Assessment Perspective

Educational technology & society, 2014-01, Vol.17 (1), p.332-344

Chu, Hui-Chun

2014

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Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1278

2021

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Machine Learning in Medicine

The New England journal of medicine, 2019-04, Vol.380 (14), p.1347-1358

2019

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Learning

Anesthesiology (Philadelphia), 2015-07, Vol.123 (1), p.10-11

2015

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Communication-efficient federated learning

Proceedings of the National Academy of Sciences - PNAS, 2021-04, Vol.118 (17), p.1

2021

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Quantum Generative Adversarial Learning

Physical review letters, 2018-07, Vol.121 (4), p.040502-040502, Article 040502

2018

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Simulation and learning: A model-centered approach

Educational Technology & Society, 2013, Vol.17 (1), p.345-346

Landriscina, Franco

2013, 2013

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An empirical study on learners’ learning emotion and learning effect in offline learning environment

PloS one, 2023-11, Vol.18 (11), p.e0294407-e0294407

2023

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Jet-images — deep learning edition

The journal of high energy physics, 2016-07, Vol.2016 (7), p.1-32, Article 69

2016

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Quantum-Enhanced Machine Learning

Physical review letters, 2016-09, Vol.117 (13), p.130501-130501, Article 130501

2016

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Using Machine Learning Algorithms to Predict People's Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach

JMIR medical education, 2021-02, Vol.7 (1), p.e24032-e24032

2021

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Deep Learning in Neuroradiology

American journal of neuroradiology : AJNR, 2018-10, Vol.39 (10), p.1776-1784

2018

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The use of an active learning approach in a SCALE-UP learning space improves academic performance in undergraduate General Biology

PloS one, 2018-05, Vol.13 (5), p.e0197916-e0197916

2018

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MOOC-based flipped learning in higher education: students’ participation, experience and learning performance

International Journal of Educational Technology in Higher Education, 2019-08, Vol.16 (1), p.1-18, Article 33

2019

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Robust deep learning-based protein sequence design using ProteinMPNN

Science (American Association for the Advancement of Science), 2022-10, Vol.378 (6615), p.49-56

2022

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The Influence of Different Learning Strategies on Pupils' Learning Motivation: Is Augmented Reality Multimedia Learning Consistent With Traditional Text Learning?

Frontiers in psychology, 2022-02, Vol.13, p.810345-810345

2022

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Improving Students' Learning With Effective Learning Techniques: Promising Directions From Cognitive and Educational Psychology

Psychological science in the public interest, 2013-01, Vol.14 (1), p.4-58

2013

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Applying Learning Analytics for the Early Prediction of Students' Academic Performance in Blended Learning

Educational Technology ＆ Society, 2018-04, Vol.21 (2), p.220-232

2018

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Machine learning and deep learning

Increased fear learning, spatial learning as well as neophobia in Rgs2−/− mice

Improving Learning Analytics - Combining Observational and Self-Report Data on Student Learning

The Effectiveness of the Flipped Classroom on Students' Learning Achievement and Learning Motivation: A Meta-Analysis

Affective e-Learning: Using “Emotional” Data to Improve Learning in Pervasive Learning Environment

How to Read Articles That Use Machine Learning: Users' Guides to the Medical Literature

Implementing Machine Learning in Health Care — Addressing Ethical Challenges

Potential Negative Effects of Mobile Learning on Students' Learning Achievement and Cognitive Load—A Format Assessment Perspective

Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning

Machine Learning in Medicine

Learning

Communication-efficient federated learning

Quantum Generative Adversarial Learning

Simulation and learning: A model-centered approach

An empirical study on learners’ learning emotion and learning effect in offline learning environment

Jet-images — deep learning edition

Quantum-Enhanced Machine Learning

Using Machine Learning Algorithms to Predict People's Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach

Deep Learning in Neuroradiology

The use of an active learning approach in a SCALE-UP learning space improves academic performance in undergraduate General Biology

MOOC-based flipped learning in higher education: students’ participation, experience and learning performance

Robust deep learning-based protein sequence design using ProteinMPNN

The Influence of Different Learning Strategies on Pupils' Learning Motivation: Is Augmented Reality Multimedia Learning Consistent With Traditional Text Learning?

Improving Students' Learning With Effective Learning Techniques: Promising Directions From Cognitive and Educational Psychology

Applying Learning Analytics for the Early Prediction of Students' Academic Performance in Blended Learning

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