Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing
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(FIVE YEARS 13)

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Published By Springer International Publishing

9783030649487, 9783030649494

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A Generative Model Based Approach for Zero-Shot Breast Cancer Segmentation Explaining Pixels’ Contribution to the Model’s Prediction

Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing ◽

10.1007/978-3-030-64949-4_13 ◽

2021 ◽

pp. 401-425

Author(s):

Preeti Mukherjee ◽

Mainak Pal ◽

Lidia Ghosh ◽

Amit Konar

Keyword(s):

Breast Cancer ◽

Generative Model ◽

Model Based

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Beyond Deep Event Prediction: Deep Event Understanding Based on Explainable Artificial Intelligence

Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing ◽

10.1007/978-3-030-64949-4_4 ◽

2021 ◽

pp. 91-117

Author(s):

Bukhoree Sahoh ◽

Anant Choksuriwong

Keyword(s):

Artificial Intelligence ◽

Event Prediction ◽

Explainable Artificial Intelligence

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RYEL System: A Novel Method for Capturing and Represent Knowledge in a Legal Domain Using Explainable Artificial Intelligence (XAI) and Granular Computing (GrC)

Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing ◽

10.1007/978-3-030-64949-4_12 ◽

2021 ◽

pp. 369-399

Author(s):

Luis Raúl Rodríguez Oconitrillo ◽

Juan José Vargas ◽

Arturo Camacho ◽

Alvaro Burgos ◽

Juan Manuel Corchado

Keyword(s):

Artificial Intelligence ◽

Granular Computing ◽

System A ◽

Explainable Artificial Intelligence ◽

Novel Method ◽

Legal Domain

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MiBeX: Malware-Inserted Benign Datasets for Explainable Machine Learning

Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing ◽

10.1007/978-3-030-64949-4_9 ◽

2021 ◽

pp. 269-291

Author(s):

Wayne Stegner ◽

Tyler Westland ◽

David Kapp ◽

Temesguen Kebede ◽

Rashmi Jha

Keyword(s):

Machine Learning

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Use of Visual Analytics (VA) in Explainable Artificial Intelligence (XAI): A Framework of Information Granules

Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing ◽

10.1007/978-3-030-64949-4_2 ◽

2021 ◽

pp. 29-62

Author(s):

Bo Sun

Keyword(s):

Artificial Intelligence ◽

Visual Analytics ◽

Information Granules ◽

Explainable Artificial Intelligence

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Interpretation of SVM to Build an Explainable AI via Granular Computing

Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing ◽

10.1007/978-3-030-64949-4_5 ◽

2021 ◽

pp. 119-152

Author(s):

Sanjay Sekar Samuel ◽

Nik Nailah Binti Abdullah ◽

Anil Raj

Keyword(s):

Granular Computing ◽

Explainable Ai

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Survey of Explainable Machine Learning with Visual and Granular Methods Beyond Quasi-Explanations

Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing ◽

10.1007/978-3-030-64949-4_8 ◽

2021 ◽

pp. 217-267

Author(s):

Boris Kovalerchuk ◽

Muhammad Aurangzeb Ahmad ◽

Ankur Teredesai

Keyword(s):

Machine Learning

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Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring

Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing ◽

10.1007/978-3-030-64949-4_1 ◽

2021 ◽

pp. 1-28

Author(s):

Nijat Mehdiyev ◽

Peter Fettke

Keyword(s):

Artificial Intelligence ◽

Process Monitoring ◽

Process Mining ◽

General Overview ◽

Explainable Artificial Intelligence ◽

Predictive Process

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Designing Explainable Text Classification Pipelines: Insights from IT Ticket Complexity Prediction Case Study

Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing ◽

10.1007/978-3-030-64949-4_10 ◽

2021 ◽

pp. 293-332

Author(s):

Aleksandra Revina ◽

Krisztian Buza ◽

Vera G. Meister

Keyword(s):

Text Classification

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Factual and Counterfactual Explanation of Fuzzy Information Granules

Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing ◽

10.1007/978-3-030-64949-4_6 ◽

2021 ◽

pp. 153-185

Author(s):

Ilia Stepin ◽

Alejandro Catala ◽

Martin Pereira-Fariña ◽

Jose M. Alonso

Keyword(s):

Fuzzy Information ◽

Information Granules

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Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular ComputingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Generative Model Based Approach for Zero-Shot Breast Cancer Segmentation Explaining Pixels’ Contribution to the Model’s Prediction

Beyond Deep Event Prediction: Deep Event Understanding Based on Explainable Artificial Intelligence

RYEL System: A Novel Method for Capturing and Represent Knowledge in a Legal Domain Using Explainable Artificial Intelligence (XAI) and Granular Computing (GrC)

MiBeX: Malware-Inserted Benign Datasets for Explainable Machine Learning

Use of Visual Analytics (VA) in Explainable Artificial Intelligence (XAI): A Framework of Information Granules

Interpretation of SVM to Build an Explainable AI via Granular Computing

Survey of Explainable Machine Learning with Visual and Granular Methods Beyond Quasi-Explanations

Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring

Designing Explainable Text Classification Pipelines: Insights from IT Ticket Complexity Prediction Case Study

Factual and Counterfactual Explanation of Fuzzy Information Granules

Studies in Computational Intelligence - Interpretable Artificial Intelligence: A Perspective of Granular Computing
Latest Publications