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Refinado por: Base de dados/Biblioteca: Springer Nature - Springer Journals All 2022 remover tipo de recurso: magazinearticle remover
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1
Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations
Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations
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Measuring the Quality of Explanations: The System Causability Scale (SCS): Comparing Human and Machine Explanations

Holzinger, Andreas ; Carrington, André ; Müller, Heimo

KI. Künstliche Intelligenz (Oldenbourg), 2020-06, Vol.34 (2), p.193-198

Berlin/Heidelberg: Springer Berlin Heidelberg

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2
Two-Step Parameter Estimation for Read Feature Models
Two-Step Parameter Estimation for Read Feature Models
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Two-Step Parameter Estimation for Read Feature Models

Erhard, Florian

KI. Künstliche Intelligenz (Oldenbourg), 2024-01

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3
What are Non-classical Logics and Why Do We Need Them? An Extended Interview with Dov Gabbay and Leon van der Torre
What are Non-classical Logics and Why Do We Need Them? An Extended Interview with Dov Gabbay and Leon van der Torre
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What are Non-classical Logics and Why Do We Need Them? An Extended Interview with Dov Gabbay and Leon van der Torre

Steen, Alexander ; Benzmüller, Christoph

KI. Künstliche Intelligenz (Oldenbourg), 2024-01

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4
EpiPredict: Agent-Based Modeling of Infectious Diseases
EpiPredict: Agent-Based Modeling of Infectious Diseases
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EpiPredict: Agent-Based Modeling of Infectious Diseases

Suer, Janik ; Ponge, Johannes ; Hellingrath, Bernd

KI. Künstliche Intelligenz (Oldenbourg), 2023-11

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5
Interview, Building Trust in Medical AI Algorithms with Veridical Data Science: Interview with Prof. Bin Yu, Department of Statistics, University of California, Berkeley
Interview, Building Trust in Medical AI Algorithms with Veridical Data Science: Interview with Prof. Bin Yu, Department of Statistics, University of California, Berkeley
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Interview, Building Trust in Medical AI Algorithms with Veridical Data Science: Interview with Prof. Bin Yu, Department of Statistics, University of California, Berkeley

Behr, Merle

KI. Künstliche Intelligenz (Oldenbourg), 2023-05

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6
Navigation Aid use and Human Wayfinding: How to Engage People in Active Spatial Learning
Navigation Aid use and Human Wayfinding: How to Engage People in Active Spatial Learning
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Navigation Aid use and Human Wayfinding: How to Engage People in Active Spatial Learning

Huston, Vanessa ; Hamburger, Kai

KI. Künstliche Intelligenz (Oldenbourg), 2023-01

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7
In Memoriam Pamela McCorduck
In Memoriam Pamela McCorduck
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In Memoriam Pamela McCorduck

Piel, Helen ; Seising Rudolf

KI. Künstliche Intelligenz (Oldenbourg), 2022-01, Vol.36 (1), p.113-115

Heidelberg: Springer Nature B.V

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8
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency
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One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency

Sokol, Kacper ; Flach, Peter

KI. Künstliche Intelligenz (Oldenbourg), 2020-06, Vol.34 (2), p.235-250

Berlin/Heidelberg: Springer Berlin Heidelberg

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9
Zauberzeug Learning Loop
Zauberzeug Learning Loop
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Zauberzeug Learning Loop

Glahe Philipp ; Trappe Rodja

KI. Künstliche Intelligenz (Oldenbourg), 2024-02, Vol.37 (2-4), p.195-201

Heidelberg: Springer Nature B.V

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10
Kai-Florian Richter and Stephan Winter: Landmarks—GIScience for Intelligent Services
Kai-Florian Richter and Stephan Winter: Landmarks—GIScience for Intelligent Services
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Kai-Florian Richter and Stephan Winter: Landmarks—GIScience for Intelligent Services

Ishikawa, Toru

KI. Künstliche Intelligenz (Oldenbourg), 2017-05, Vol.31 (2), p.209-211

Heidelberg: Springer Nature B.V

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