Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science
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(FIVE YEARS 23)

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Published By Springer International Publishing

9783030739584, 9783030739591

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An Analysis of Regularized Approaches for Constrained Machine Learning

Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science ◽

10.1007/978-3-030-73959-1_11 ◽

2021 ◽

pp. 112-119

Author(s):

Michele Lombardi ◽

Federico Baldo ◽

Andrea Borghesi ◽

Michela Milano

Keyword(s):

Machine Learning

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Towards Automated GDPR Compliance Checking

Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science ◽

10.1007/978-3-030-73959-1_1 ◽

2021 ◽

pp. 3-19

Author(s):

Tomer Libal

Keyword(s):

Compliance Checking

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Uncertainty Quantification and Calibration of Imitation Learning Policy in Autonomous Driving

Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science ◽

10.1007/978-3-030-73959-1_14 ◽

2021 ◽

pp. 146-162

Author(s):

Farzad Nozarian ◽

Christian Müller ◽

Philipp Slusallek

Keyword(s):

Uncertainty Quantification ◽

Autonomous Driving ◽

Imitation Learning

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Process-To-Text: A Framework for the Quantitative Description of Processes in Natural Language

Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science ◽

10.1007/978-3-030-73959-1_19 ◽

2021 ◽

pp. 212-219

Author(s):

Yago Fontenla-Seco ◽

Manuel Lama ◽

Alberto Bugarín

Keyword(s):

Natural Language ◽

Quantitative Description

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Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art

Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science ◽

10.1007/978-3-030-73959-1_12 ◽

2021 ◽

pp. 123-139

Author(s):

Youngmin Kim ◽

Richard Allmendinger ◽

Manuel López-Ibáñez

Keyword(s):

State Of The Art ◽

The State ◽

Optimization Techniques

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Towards Certifying Trustworthy Machine Learning Systems

Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science ◽

10.1007/978-3-030-73959-1_7 ◽

2021 ◽

pp. 77-82

Author(s):

Roland H. C. Yap

Keyword(s):

Machine Learning ◽

Learning Systems

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Hybrid AI: The Way Forward in AI by Developing Four Dimensions

Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science ◽

10.1007/978-3-030-73959-1_6 ◽

2021 ◽

pp. 71-76

Author(s):

Albert Huizing ◽

Cor Veenman ◽

Mark Neerincx ◽

Judith Dijk

Keyword(s):

Four Dimensions ◽

The Way

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Semi-supervised Co-ensembling for AutoML

Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science ◽

10.1007/978-3-030-73959-1_21 ◽

2021 ◽

pp. 229-250

Author(s):

Jesper E. van Engelen ◽

Holger H. Hoos

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Election Manipulation on Social Networks with Messages on Multiple Candidates Extended Abstract

Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science ◽

10.1007/978-3-030-73959-1_18 ◽

2021 ◽

pp. 205-211

Author(s):

Matteo Castiglioni ◽

Diodato Ferraioli ◽

Nicola Gatti ◽

Giulia Landriani

Keyword(s):

Social Networks

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Lab Conditions for Research on Explainable Automated Decisions

Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science ◽

10.1007/978-3-030-73959-1_8 ◽

2021 ◽

pp. 83-90

Author(s):

Christel Baier ◽

Maria Christakis ◽

Timo P. Gros ◽

David Groß ◽

Stefan Gumhold ◽

...

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Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

An Analysis of Regularized Approaches for Constrained Machine Learning

Towards Automated GDPR Compliance Checking

Uncertainty Quantification and Calibration of Imitation Learning Policy in Autonomous Driving

Process-To-Text: A Framework for the Quantitative Description of Processes in Natural Language

Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art

Towards Certifying Trustworthy Machine Learning Systems

Hybrid AI: The Way Forward in AI by Developing Four Dimensions

Semi-supervised Co-ensembling for AutoML

Election Manipulation on Social Networks with Messages on Multiple Candidates Extended Abstract

Lab Conditions for Research on Explainable Automated Decisions

Trustworthy AI - Integrating Learning, Optimization and Reasoning - Lecture Notes in Computer Science
Latest Publications