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Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

Expert systems, 2022-03, Vol.39 (3), p.e12759-n/a

2022

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Supervised machine learning in multimodal learning analytics for estimating success in project‐based learning

Journal of computer assisted learning, 2018-08, Vol.34 (4), p.366-377

2018

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Ensemble learning: A survey

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2018-07, Vol.8 (4), p.e1249-n/a

2018

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From machine learning to deep learning: Advances in scoring functions for protein–ligand docking

Wiley interdisciplinary reviews. Computational molecular science, 2020-01, Vol.10 (1), p.e1429-n/a

2020

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Deep learning for computational chemistry

Journal of computational chemistry, 2017-06, Vol.38 (16), p.1291-1307

2017

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Deep learning for computational biology

Molecular systems biology, 2016-07, Vol.12 (7), p.878-n/a

2016

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Transfer Learning Strategy Based on Unsupervised Learning and Ensemble Learning for Breast Cancer Molecular Subtype Prediction Using Dynamic Contrast‐Enhanced MRI

Journal of magnetic resonance imaging, 2022-05, Vol.55 (5), p.1518-1534

2022

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Machine learning applications in epilepsy

Epilepsia (Copenhagen), 2019-10, Vol.60 (10), p.2037-2047

2019

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Transfer learning and fine‐tuned transfer learning methods' effectiveness analyse in the CNN‐based deep learning models

Concurrency and computation, 2023-02, Vol.35 (4), p.n/a

2023

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Machine learning and deep learning—A review for ecologists

Methods in ecology and evolution, 2023-04, Vol.14 (4), p.994-1016

2023

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The Knowledge‐Learning‐Instruction Framework: Bridging the Science‐Practice Chasm to Enhance Robust Student Learning

Cognitive science, 2012-07, Vol.36 (5), p.757-798

2012

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Deep Learning in Drug Discovery

Molecular informatics, 2016-01, Vol.35 (1), p.3-14

2016

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Machine learning in breast MRI

Journal of magnetic resonance imaging, 2020-10, Vol.52 (4), p.998-1018

2020

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Machine Learning Predicts Laboratory Earthquakes

Geophysical research letters, 2017-09, Vol.44 (18), p.9276-9282

2017

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Process‐Guided Deep Learning Predictions of Lake Water Temperature

Water resources research, 2019-11, Vol.55 (11), p.9173-9190

2019

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Quantum Machine Learning in Chemical Compound Space

Angewandte Chemie (International ed.), 2018-04, Vol.57 (16), p.4164-4169

von Lilienfeld, O Anatole

International ed. in English, 2018

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The orchestration of Machine Learning frameworks with data streams and GPU acceleration in Kafka‐ML: A deep‐learning performance comparative

Expert systems, 2024-02, Vol.41 (2), p.n/a

2024

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DynaLearn — An Intelligent Learning Environment for Learning Conceptual Knowledge

The AI magazine, 2013-12, Vol.34 (4), p.46-65

2013

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Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning

British journal of educational technology, 2020-11, Vol.51 (6), p.2391-2406

2020

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Applications for deep learning in ecology

Methods in ecology and evolution, 2019-10, Vol.10 (10), p.1632-1644

2019

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Machine Learning for Computational Heterogeneous Catalysis

ChemCatChem, 2019-08, Vol.11 (16), p.3581-3601

2019

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Machine Learning Solutions for Osteoporosis—A Review

Journal of bone and mineral research, 2021-05, Vol.36 (5), p.833-851

2021

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Deep Learning in Image Cytometry: A Review

Cytometry. Part A, 2019-04, Vol.95 (4), p.366-380

2019

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Neural‐Symbolic Machine Learning for Retrosynthesis and Reaction Prediction

Chemistry : a European journal, 2017-05, Vol.23 (25), p.5966-5971

2017

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Machine Learning‐Driven Biomaterials Evolution

Advanced materials (Weinheim), 2022-01, Vol.34 (1), p.e2102703-n/a

2022

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Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

Supervised machine learning in multimodal learning analytics for estimating success in project‐based learning

Ensemble learning: A survey

From machine learning to deep learning: Advances in scoring functions for protein–ligand docking

Deep learning for computational chemistry

Deep learning for computational biology

Transfer Learning Strategy Based on Unsupervised Learning and Ensemble Learning for Breast Cancer Molecular Subtype Prediction Using Dynamic Contrast‐Enhanced MRI

Machine learning applications in epilepsy

Transfer learning and fine‐tuned transfer learning methods' effectiveness analyse in the CNN‐based deep learning models

Machine learning and deep learning—A review for ecologists

The Knowledge‐Learning‐Instruction Framework: Bridging the Science‐Practice Chasm to Enhance Robust Student Learning

Deep Learning in Drug Discovery

Machine learning in breast MRI

Machine Learning Predicts Laboratory Earthquakes

Process‐Guided Deep Learning Predictions of Lake Water Temperature

Quantum Machine Learning in Chemical Compound Space

The orchestration of Machine Learning frameworks with data streams and GPU acceleration in Kafka‐ML: A deep‐learning performance comparative

DynaLearn — An Intelligent Learning Environment for Learning Conceptual Knowledge

Bridging learning sciences, machine learning and affective computing for understanding cognition and affect in collaborative learning

Applications for deep learning in ecology

Machine Learning for Computational Heterogeneous Catalysis

Machine Learning Solutions for Osteoporosis—A Review

Deep Learning in Image Cytometry: A Review

Neural‐Symbolic Machine Learning for Retrosynthesis and Reaction Prediction

Machine Learning‐Driven Biomaterials Evolution

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