17 Publikationen
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2023 | Bielefelder E-Dissertation | PUB-ID: 2968265Guiding Information: Supervised Models and their Relationship with DataPUB | PDF | DOI
Göpfert C (2023)
Bielefeld: Universität Bielefeld. -
2022 | Konferenzbeitrag | PUB-ID: 2979000Faster Confidence Intervals for Item Response Theory via an Approximate LikelihoodPUB | DOI | Download (ext.)
Paaßen B, Göpfert C, Pinkwart N (2022)
In: Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022). Cristea AI, Brown C, Mitrovic T, Bosch N (Eds); 555–559. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957385How to Compare Adversarial Robustness of Classifiers from a Global PerspectivePUB | DOI
Risse N, Göpfert C, Göpfert JP (2021)
In: Artificial Neural Networks and Machine Learning – ICANN 2021. 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part I. Farkaš I, Masulli P, Otte S, Wermter S (Eds); Lecture Notes in Computer Science, 12891. Cham: Springer International Publishing: 29-41. -
2021 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2955115Supervised learning in the presence of concept drift: a modelling frameworkPUB | DOI | WoS
Straat M, Abadi F, Kan Z, Göpfert C, Hammer B, Biehl M (2021)
Neural Computing and Applications. -
2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982081Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling FrameworkPUB | DOI
Biehl M, Abadi F, Göpfert C, Hammer B (2020)
In: Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019. Vellido A, Gibert K, Angulo C, Martín Guerrero JD (Eds); Advances in Intelligent Systems and Computing. Cham: Springer International Publishing: 210-221. -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935925When can unlabeled data improve the learning rate?PUB | PDF | arXiv
Göpfert C, Ben-David S, Bousquet O, Gelly S, Tolstikhin I, Urner R (2019)
In: Conference on Learning Theory (COLT). -
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935456FRI - Feature Relevance Intervals for Interpretable and Interactive Data ExplorationPUB | PDF | DOI | arXiv
Pfannschmidt L, Göpfert C, Neumann U, Heider D, Hammer B (2019)
Presented at the 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, Certosa di Pontignano, Siena - Tuscany, Italy. -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2933715Differential privacy for learning vector quantizationPUB | PDF | DOI | WoS
Brinkrolf J, Göpfert C, Hammer B (2019)
Neurocomputing 342: 125-136. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932412Statistical Mechanics of On-Line Learning Under Concept DriftPUB | DOI | WoS | PubMed | Europe PMC
Straat M, Abadi F, Göpfert C, Hammer B, Biehl M (2018)
ENTROPY 20(10): 775. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900Time Series Prediction for Graphs in Kernel and Dissimilarity SpacesPUB | DOI | Download (ext.) | WoS | arXiv
Paaßen B, Göpfert C, Hammer B (2018)
Neural Processing Letters 48(2): 669-689. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2915273Interpretation of Linear Classifiers by Means of Feature Relevance BoundsPUB | PDF | DOI | WoS
Göpfert C, Pfannschmidt L, Göpfert JP, Hammer B (2018)
Neurocomputing 298: 69-79. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908201Feature Relevance Bounds for Linear ClassificationPUB | Dateien verfügbar | Download (ext.)
Göpfert C, Pfannschmidt L, Hammer B (2017)
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 187--192. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913752Effects of Variability in Synthetic Training Data on Convolutional Neural Networks for 3D Head ReconstructionPUB | PDF | DOI
Göpfert JP, Göpfert C, Botsch M, Hammer B (2017)
In: 2017 SSCI Proceedings. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2915274Analyzing Feature Relevance for Linear Reject Option SVM using Relevance IntervalsPUB | PDF
Göpfert C, Göpfert JP, Hammer B (2017)
In: Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367Local Reject Option for Deterministic Multi-class SVMPUB | DOI
Kummert J, Paaßen B, Jensen J, Göpfert C, Hammer B (2016)
In: Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. E.P. Villa A, Masulli P, Pons Rivero AJ (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer Nature: 251--258. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676Gaussian process prediction for time series of structured dataPUB | PDF
Paaßen B, Göpfert C, Hammer B (2016)
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 41--46. -
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729Convergence of Multi-pass Large Margin Nearest Neighbor Metric LearningPUB | PDF | DOI
Göpfert C, Paaßen B, Hammer B (2016)
In: Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II. E.P. Villa A, Masulli P, Pons Rivero AJ (Eds); Lecture Notes in Computer Science, 9887. Cham: Springer Nature: 510-517.