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Borgelt, Christian

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Borgelt
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Now showing 1 - 10 of 24
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    GenDR : A Generalized Differentiable Renderer
    (2022) Petersen, Felix; Goldlücke, Bastian; Borgelt, Christian; Deussen, Oliver
    Published in: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, proceedings / Chellappa, Rama et al. (ed.). - Piscataway, NJ : IEEE, 2022. - pp. 3992-4001. - ISSN 1063-6919. - eISSN 2575-7075. - ISBN 978-1-66546-947-0
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    Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
    (2021) Petersen, Felix; Borgelt, Christian; Kuehne, Hilde; Deussen, Oliver
    Published in: Proceedings of the 38th International Conference on Machine Learning / Meila, Marina; Zhang, Tong (ed.). - Maastricht : ML Research Press, 2021. - (Proceedings of Machine Learning Research ; 139). - pp. 8546-8555. - eISSN 2640-3498
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    Even Faster Exact k-Means Clustering
    (2020) Borgelt, Christian
    Published in: Advances in Intelligent Data Analysis XVIII : 18th International Symposium on Intelligent Data Analysis, Proceedings / Berthold, Michael R.; Feelders, Ad; Krempl, Georg (ed.). - Cham : Springer, 2020. - (Lecture Notes in Computer Science ; 12080). - pp. 93-105. - ISSN 0302-9743. - eISSN 1611-3349. - ISBN 978-3-030-44583-6
    Borgelt_2-1kp54adjk555h8.pdf
    (846.83 KB)
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    Monograph
    Guide to Intelligent Data Science : How to Intelligently Make Use of Real Data
    (Cham : Springer Cham, 2020) Berthold, Michael R.; Borgelt, Christian; Höppner, Frank; Klawonn, Frank; Silipo, Rosaria
    Series: Texts in Computer Science
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    Widened Learning of Index Tracking Portfolios
    (2019) Gavriushina, Iuliia; Sampson, Oliver R.; Berthold, Michael R.; Pohlmeier, Winfried; Borgelt, Christian
    Published in: 18th IEEE International Conference On Machine Learning And Applications (ICMLA). - Piscataway : IEEE, 2019. - pp. 1800-1805. - ISBN 978-1-72814-551-8
    Gavriushina_2-1m0k5nmmycukv1.pdf
    (265.79 KB)
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    Journal article
    Fuzzy Sets in Data Analysis : From Statistical Foundations to Machine Learning
    (2019) Couso, Ines; Borgelt, Christian; Hullermeier, Eyke; Kruse, Rudolf
    Published in: IEEE Computational Intelligence Magazine ; 14 (2019), 1. - pp. 31-44. - ISSN 1556-603X. - eISSN 1556-6048
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    Aggregation of Subclassifications : Methods, Tools and Experiments
    (2019) Doell, Christoph; Borgelt, Christian
    Published in: 2019 IEEE Symposium Series on Computational Intelligence (SSCI). - Piscataway, NJ : IEEE, 2019. - pp. 3124-3131. - ISBN 978-1-72812-485-8
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    Communication-Free Widened Learning of Bayesian Network Classifiers Using Hashed Fiedler Vectors
    (2018) Sampson, Oliver R.; Borgelt, Christian; Berthold, Michael R.
    Published in: Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24-26, 2018, proceedings / Duivesteijn, Wouter; Siebes, Arno; Ukkonen, Antti (ed.). - Cham : Springer, 2018. - (Lecture Notes in Computer Science ; 11191). - pp. 264-277. - ISSN 0302-9743. - eISSN 1611-3349. - ISBN 978-3-030-01767-5
    Sampson_2-bn89p9g927ii7.pdf
    (1.41 MB)
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    Learned Feature Generation for Molecules
    (2018) Winter, Patrick; Borgelt, Christian; Berthold, Michael R.
    Published in: Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24-26, 2018, proceedings / Duivesteijn, Wouter; Siebes, Arno; Ukkonen, Antti (ed.). - Cham : Springer, 2018. - (Lecture Notes in Computer Science ; 11191). - pp. 380-391. - ISSN 0302-9743. - eISSN 1611-3349. - ISBN 978-3-030-01767-5
    Winter_2-m7ofa8jpw2sa6.pdf
    (365.15 KB)
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    Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers
    (2018) Doell, Christoph; Donohue, Sarah; Pätz, Cedrik; Borgelt, Christian
    Published in: Advances in Intelligent Data Analysis XVII : 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings / Duivesteijn, Wouter; Siebes, Arno; Ukkonen, Antti (ed.). - Cham : Springer, 2018. - (Lecture Notes in Computer Science ; 11191). - pp. 75-86. - ISSN 0302-9743. - eISSN 1611-3349. - ISBN 978-3-030-01767-5