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1
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
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Article 		Add to My Research

The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations

Computer graphics forum, 2020-06, Vol.39 (3), p.713-756 [Peer Reviewed Journal]

Attribution ;ISSN: 0167-7055 ;EISSN: 1467-8659 ;DOI: 10.1111/cgf.14034

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2
CC2Vec: Distributed Representations of Code Changes
CC2Vec: Distributed Representations of Code Changes
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CC2Vec: Distributed Representations of Code Changes

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1145/3377811.3380361

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3
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

IEEE transaction on neural networks and learning systems, 2021-11, Vol.32 (11), p.4793-4813

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.3027314 ;PMID: 33079674 ;CODEN: ITNNAL

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4
Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems
Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems
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Physics‐Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems

Water resources research, 2020-05, Vol.56 (5), p.n/a [Peer Reviewed Journal]

2020. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2019WR026731

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5
Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods
Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods
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Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods

American journal of roentgenology (1976), 2019-01, Vol.212 (1), p.38-43 [Peer Reviewed Journal]

ISSN: 0361-803X ;EISSN: 1546-3141 ;DOI: 10.2214/AJR.18.20224 ;PMID: 30332290

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6
GPT-4 is here: what scientists think
GPT-4 is here: what scientists think
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Article 		Add to My Research

GPT-4 is here: what scientists think

Nature (London), 2023-03, Vol.615 (7954), p.773-773 [Peer Reviewed Journal]

ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/d41586-023-00816-5 ;PMID: 36928404

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7
Mastering the game of Go without human knowledge
Mastering the game of Go without human knowledge
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Mastering the game of Go without human knowledge

Nature (London), 2017-10, Vol.550 (7676), p.354-359 [Peer Reviewed Journal]

COPYRIGHT 2017 Nature Publishing Group ;COPYRIGHT 2017 Nature Publishing Group ;Copyright Nature Publishing Group Oct 19, 2017 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/nature24270 ;PMID: 29052630

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8
Deep learning: new computational modelling techniques for genomics
Deep learning: new computational modelling techniques for genomics
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Article 		Add to My Research

Deep learning: new computational modelling techniques for genomics

Nature reviews. Genetics, 2019-07, Vol.20 (7), p.389-403 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;COPYRIGHT 2019 Nature Publishing Group ;Springer Nature Limited 2019. ;ISSN: 1471-0056 ;EISSN: 1471-0064 ;DOI: 10.1038/s41576-019-0122-6 ;PMID: 30971806

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9
Do no harm: a roadmap for responsible machine learning for health care
Do no harm: a roadmap for responsible machine learning for health care
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Do no harm: a roadmap for responsible machine learning for health care

Nature medicine, 2019-09, Vol.25 (9), p.1337-1340 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Sep 2019 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-019-0548-6 ;PMID: 31427808

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10
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
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Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next

Journal of scientific computing, 2022-09, Vol.92 (3), p.88, Article 88 [Peer Reviewed Journal]

The Author(s) 2022 ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0885-7474 ;EISSN: 1573-7691 ;DOI: 10.1007/s10915-022-01939-z

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11
Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model
Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model
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Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model

Landslides, 2020-12, Vol.17 (12), p.2919-2930 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 1612-510X ;EISSN: 1612-5118 ;DOI: 10.1007/s10346-020-01473-9

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12
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python
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Conference Proceeding 		Add to My Research

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE), 2022, p.2241-2252

EISSN: 1558-1225 ;EISBN: 9781450392211 ;EISBN: 1450392210 ;DOI: 10.1145/3510003.3510124 ;CODEN: IEEPAD

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13
All-optical spiking neurosynaptic networks with self-learning capabilities
All-optical spiking neurosynaptic networks with self-learning capabilities
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Article 		Add to My Research

All-optical spiking neurosynaptic networks with self-learning capabilities

Nature (London), 2019-05, Vol.569 (7755), p.208-214 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group May 9, 2019 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-019-1157-8 ;PMID: 31068721

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14
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
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Article 		Add to My Research

Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

IEEE access, 2018-01, Vol.6, p.52138-52160 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2870052 ;CODEN: IAECCG

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15
Explainable Machine Learning for Scientific Insights and Discoveries
Explainable Machine Learning for Scientific Insights and Discoveries
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Explainable Machine Learning for Scientific Insights and Discoveries

IEEE access, 2020, Vol.8, p.42200-42216 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2976199 ;CODEN: IAECCG

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16
Interpretable machine learning: Fundamental principles and 10 grand challenges
Interpretable machine learning: Fundamental principles and 10 grand challenges
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Article 		Add to My Research

Interpretable machine learning: Fundamental principles and 10 grand challenges

Statistics surveys, 2022-01, Vol.16 (none) [Peer Reviewed Journal]

ISSN: 1935-7516 ;EISSN: 1935-7516 ;DOI: 10.1214/21-SS133

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17
Abstracts written by ChatGPT fool scientists
Abstracts written by ChatGPT fool scientists
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Article 		Add to My Research

Abstracts written by ChatGPT fool scientists

Nature (London), 2023-01, Vol.613 (7944), p.423-423 [Peer Reviewed Journal]

Copyright Nature Publishing Group Jan 19, 2023 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/d41586-023-00056-7 ;PMID: 36635510

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18
Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method
Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method
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Article 		Add to My Research

Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method

Journal of computational physics, 2021-11, Vol.445 [Peer Reviewed Journal]

ISSN: 0021-9991 ;ISSN: 1090-2716 ;EISSN: 1090-2716 ;DOI: 10.1016/j.jcp.2021.110624

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19
ChatGPT: five priorities for research
ChatGPT: five priorities for research
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Article 		Add to My Research

ChatGPT: five priorities for research

Nature (London), 2023-02, Vol.614 (7947), p.224-226 [Peer Reviewed Journal]

Copyright Nature Publishing Group Feb 9, 2023 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/d41586-023-00288-7 ;PMID: 36737653

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20
Grandmaster level in StarCraft II using multi-agent reinforcement learning
Grandmaster level in StarCraft II using multi-agent reinforcement learning
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Article 		Add to My Research

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Nature (London), 2019-11, Vol.575 (7782), p.350-354 [Peer Reviewed Journal]

COPYRIGHT 2019 Nature Publishing Group ;COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Nov 14, 2019 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-019-1724-z ;PMID: 31666705

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