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Matthies, Patricia Carlotta [Author] ; Wesling, Volker [Degree supervisor] Technische Universität Clausthal

Integration intelligenter Klassifikatoren und Prüfmethodiken in die automatische optische Inspektion von Automotive-Produkten in der SMT-Fertigung

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Clausthal-Zellerfeld, 2023
Schmischke, Michael [Author]

Interpretable approximation of high-dimensional data based on the ANOVA decomposition

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Chemnitz: Universitätsverlag Chemnitz, 2022
Kost, Samuel [Author]; Rheinbach, Oliver [Author]; Schaeben, Helmut [Author]

Using logistic regression model selection towards interpretable machine learning in mineral prospectivity modeling

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Freiberg: TU Bergakademie Freiberg, Fakultät für Mathematik und Informatik, 2021

Published in: Technische Universität Bergakademie Freiberg: Preprint ; 2021-04
Böhle, Moritz [Author] ; Schiele, Bernt [Contributor]

Towards designing inherently interpretable deep neural networks for image classification

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http://nbn-resolving.org/urn:nbn:de:bsz:291--ds-421904

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Saarländische Universitäts- und Landesbibliothek, 2024
Singh, Devesh [Author]

Foreign direct investment and local interpretable model-agnostic explanations : a rational framework for FDI decision making

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2024

Published in: Journal of economics, finance & administrative science ; 29(2024), 57, Seite 98-120
Krämer, Bastian [Author] ; Schäfers, Wolfgang [Degree supervisor]

Enhancing Residential Property Valuation: A Journey through Machine Learning and Explainable Artificial Intelligence

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https://d-nb.info/1318745756/34

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Regensburg: Universitätsbibliothek Regensburg, 2024
von Ahlefeldt-Dehn, Benedict [Author] ; Schäfers, Wolfgang [Degree supervisor]

Understanding Commercial Real Estate Markets with Machine Learning Methods

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https://d-nb.info/1308418892/34

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Regensburg: Universitätsbibliothek Regensburg, 2023
Longo, Luigi [Author]; Soltanieh-ha, Mohammad [Author]

A Verifiable Estimation and Parametric Inference of the Nonlinear Phillips Curve Using Neural Networks

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https://ssrn.com/abstract=4350978

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[S.l.]: SSRN, 2023
Singh, Devesh [Author]

Foreign direct investment and local interpretable model-agnostic explanations: A rational framework for FDI decision making

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Bingley: Emerald Publishing Limited, 2024
Barros de Andrade e Sousa, Lisa [Author]

Using interpretable machine learning to understand gene silencing dynamics during X-Chromosome inactivation

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Berlin: Freie Universität Berlin, 2021
Briesemeister, Sebastian [Author] ; Kohlbacher, Oliver [Degree supervisor]

Interpretable Machine Learning Approaches in Computational Biology

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Tübingen: Universitätsbibliothek Tübingen, 2012
De Raedt, Luc [Author]; Schmid, Ute [Author]; Langer, Johannes [Author] ; Luc De Raedt and Ute Schmid and Johannes Langer [Contributor]

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 23442)

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Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024
Soisoonthorn, Thasayu [Author] ; Unger, Herwig [Degree supervisor]; Unger, Herwig [Other]; Maliyaem, Maleerat [Other]

An Auto-Associative Memory with Learning and Oblivion

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https://nbn-resolving.org/urn:nbn:de:hbz:708-dh13474

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Hagen: FernUniversität in Hagen, 2024
Matthies, Patricia Carlotta [Author] ; Wesling, Volker [Degree supervisor] Technische Universität Clausthal

Integration intelligenter Klassifikatoren und Prüfmethodiken in die automatische optische Inspektion von Automotive-Produkten in der SMT-Fertigung

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https://nbn-resolving.org/urn:nbn:de:gbv:104-20230728-00000-6

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Clausthal-Zellerfeld, 2023
Li, Rubing [Author]; Ghose, Anindya [Author]; Xu, Kaiquan [Author]; Li, Beibei [Author]

Predicting Consumer In-Store Purchase Using Real-Time Retail Video Analytics

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https://ssrn.com/abstract=4513385

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[S.l.]: SSRN, [2023]
Cropper, Andrew [Author]; De Raedt, Luc [Author]; Evans, Richard [Author]; Schmid, Ute [Author] ; Andrew Cropper and Luc De Raedt and Richard Evans and Ute Schmid [Contributor]

Approaches and Applications of Inductive Programming (Dagstuhl Seminar 21192)

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Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2021
Reimer, Maximilian [Author] ; Anand, Avishek [Contributor]

Exploiting Rationale Data for Explainable NLP Models - [published Version]

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https://www.repo.uni-hannover.de/handle/123456789/11615

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Hannover : Gottfried Wilhelm Leibniz Universität, 2021-09-15
Zabeti, Hooman [Author]; Dexter, Nick [Author]; Safari, Amir Hosein [Author]; Sedaghat, Nafiseh [Author]; Libbrecht, Maxwell [Author]; Chindelevitch, Leonid [Author] ; Hooman Zabeti and Nick Dexter and Amir Hosein Safari and Nafiseh Sedaghat and Maxwell Libbrecht and Leonid Chindelevitch [Contributor]

An Interpretable Classification Method for Predicting Drug Resistance in M. Tuberculosis

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Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2020
Molnar, Christoph [Author] ; Bischl, Bernd [Degree supervisor]

Model-agnostic interpretable machine learning

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München: Universitätsbibliothek der Ludwig-Maximilians-Universität, 2022
Rodríguez Pérez, Raquel [Author]

Machine Learning Methodologies for Interpretable Compound Activity Predictions

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Bonn: Universitäts- und Landesbibliothek Bonn, 2020

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