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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

The Journal of pathology, 2019-11, Vol.249 (3), p.286-294

2019

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DARPA's Explainable Artificial Intelligence Program

The AI magazine, 2019-06, Vol.40 (2), p.44-58

2019

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Causability and explainability of artificial intelligence in medicine

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2019-07, Vol.9 (4), p.e1312-n/a

2019

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A historical perspective of explainable Artificial Intelligence

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2021-01, Vol.11 (1), p.e1391-n/a

2021

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Explainable artificial intelligence: an analytical review

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2021-09, Vol.11 (5), p.e1424-n/a

2021

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Emerging role of deep learning‐based artificial intelligence in tumor pathology

Cancer communications (London, England), 2020-04, Vol.40 (4), p.154-166

2020

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Design of online intelligent English teaching platform based on artificial intelligence techniques

Computational intelligence, 2021-08, Vol.37 (3), p.1166-1180

2021

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S1726 Publicly Available Generative Artificial Intelligence Programs Are Currently Unsuitable for Performing Meta-Analyses

The American journal of gastroenterology, 2023-10, Vol.118 (10S), p.S1287-S1287

2023

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Steps Toward Robust Artificial Intelligence

The AI magazine, 2017-09, Vol.38 (3), p.3-24

Dietterich, Thomas G.

2017

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The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review

Dento-maxillo-facial radiology, 2020-01, Vol.49 (1), p.20190107-20190107

2020

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A survey on adversarial attacks and defences

CAAI Transactions on Intelligence Technology, 2021-03, Vol.6 (1), p.25-45

2021

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Neuromorphic Engineering: From Biological to Spike‐Based Hardware Nervous Systems

Advanced materials (Weinheim), 2020-12, Vol.32 (52), p.e2003610-n/a

2020

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European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”

The AI magazine, 2017-09, Vol.38 (3), p.50-57

2017

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Power to the People: The Role of Humans in Interactive Machine Learning

The AI magazine, 2014-12, Vol.35 (4), p.105-120

2014

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Toward Artificial Argumentation

The AI magazine, 2017-09, Vol.38 (3), p.25-36

2017

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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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Research Priorities for Robust and Beneficial Artificial Intelligence

The AI magazine, 2015-12, Vol.36 (4), p.105-114

2015

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Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing

Advanced intelligent systems, 2020-11, Vol.2 (11), p.n/a

2020

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Bias in data‐driven artificial intelligence systems—An introductory survey

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2020-05, Vol.10 (3), p.e1356-n/a

2020

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NAGNN: Classification of COVID‐19 based on neighboring aware representation from deep graph neural network

International journal of intelligent systems, 2022-02, Vol.37 (2), p.1572-1598

2022

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A review on modeling of solar photovoltaic systems using artificial neural networks, fuzzy logic, genetic algorithm and hybrid models

International journal of energy research, 2021-01, Vol.45 (1), p.6-35

2021

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Explainable artificial intelligence in the spatial domain (X‐GeoAI)

Transactions in GIS, 2022-09, Vol.26 (6), p.2413-2414

2022

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A survey on datasets for fairness‐aware machine learning

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2022-05, Vol.12 (3), p.e1452-n/a

2022

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Algorithm Selection for Combinatorial Search Problems: A Survey

The AI magazine, 2014-09, Vol.35 (3), p.48-60

Kotthoff, Lars

2014

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Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

DARPA's Explainable Artificial Intelligence Program

Causability and explainability of artificial intelligence in medicine

Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice

A historical perspective of explainable Artificial Intelligence

Explainable artificial intelligence: an analytical review

Emerging role of deep learning‐based artificial intelligence in tumor pathology

Design of online intelligent English teaching platform based on artificial intelligence techniques

S1726 Publicly Available Generative Artificial Intelligence Programs Are Currently Unsuitable for Performing Meta-Analyses

Steps Toward Robust Artificial Intelligence

The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review

A survey on adversarial attacks and defences

Neuromorphic Engineering: From Biological to Spike‐Based Hardware Nervous Systems

European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”

Power to the People: The Role of Humans in Interactive Machine Learning

Toward Artificial Argumentation

Ensemble learning: A survey

Research Priorities for Robust and Beneficial Artificial Intelligence

Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing

Bias in data‐driven artificial intelligence systems—An introductory survey

NAGNN: Classification of COVID‐19 based on neighboring aware representation from deep graph neural network

A review on modeling of solar photovoltaic systems using artificial neural networks, fuzzy logic, genetic algorithm and hybrid models

Explainable artificial intelligence in the spatial domain (X‐GeoAI)

A survey on datasets for fairness‐aware machine learning

Algorithm Selection for Combinatorial Search Problems: A Survey

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