17 Publikationen
-
-
2022 | Konferenzbeitrag | PUB-ID: 2979000Paaßen, Benjamin, Göpfert, Christina, and Pinkwart, Niels. 2022. “Faster Confidence Intervals for Item Response Theory via an Approximate Likelihood”. In Proceedings of the 15th International Conference on Educational Data Mining (EDM 2022), ed. Alexandra I. Cristea, Chris Brown, Tanja Mitrovic, and Nigel Bosch, 555–559.
-
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957385Risse, Niklas, Göpfert, Christina, and Göpfert, Jan Philip. 2021. “How to Compare Adversarial Robustness of Classifiers from a Global Perspective”. 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, ed. Igor Farkaš, Paolo Masulli, Sebastian Otte, and Stefan Wermter, 12891:29-41. Lecture Notes in Computer Science. Cham: Springer International Publishing.
-
-
2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982081Biehl, Michael, Abadi, Fthi, Göpfert, Christina, and Hammer, Barbara. 2020. “Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling Framework”. 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, ed. Alfredo Vellido, Karina Gibert, Cecilio Angulo, and José David Martín Guerrero, 210-221. Advances in Intelligent Systems and Computing. Cham: Springer International Publishing.
-
-
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2935456Pfannschmidt, Lukas, Göpfert, Christina, Neumann, Ursula, Heider, Dominik, and Hammer, Barbara. 2019. “FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration”. Presented at the 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, Certosa di Pontignano, Siena - Tuscany, Italy .
-
-
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932412Straat, Michiel, Abadi, Fthi, Göpfert, Christina, Hammer, Barbara, and Biehl, Michael. 2018. “Statistical Mechanics of On-Line Learning Under Concept Drift”. ENTROPY 20 (10): 775.
-
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900Paaßen, Benjamin, Göpfert, Christina, and Hammer, Barbara. 2018. “Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces”. Neural Processing Letters 48 (2): 669-689.
-
-
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2908201Göpfert, Christina, Pfannschmidt, Lukas, and Hammer, Barbara. 2017. “Feature Relevance Bounds for Linear Classification”. In Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ed. Michele Verleysen, 187--192. Louvain-la-Neuve: Ciaco - i6doc.com.
-
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913752Göpfert, Jan Philip, Göpfert, Christina, Botsch, Mario, and Hammer, Barbara. 2017. “Effects of Variability in Synthetic Training Data on Convolutional Neural Networks for 3D Head Reconstruction”. In 2017 SSCI Proceedings. 2017 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE.
-
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2915274Göpfert, Christina, Göpfert, Jan Philip, and Hammer, Barbara. 2017. “Analyzing Feature Relevance for Linear Reject Option SVM using Relevance Intervals”. In Proceedings of the 2017 NIPS workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments.
-
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2909367Kummert, Johannes, Paaßen, Benjamin, Jensen, Joris, Göpfert, Christina, and Hammer, Barbara. 2016. “Local Reject Option for Deterministic Multi-class SVM”. 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, ed. Alessandro E.P. Villa, Paolo Masulli, and Antonio Javier Pons Rivero, 9887:251--258. Lecture Notes in Computer Science. Cham: Springer Nature.
-
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676Paaßen, Benjamin, Göpfert, Christina, and Hammer, Barbara. 2016. “Gaussian process prediction for time series of structured data”. In Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ed. Michele Verleysen, 41--46. Louvain-la-Neuve: Ciaco - i6doc.com.
-
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905729Göpfert, Christina, Paaßen, Benjamin, and Hammer, Barbara. 2016. “Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning”. 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, ed. Alessandro E.P. Villa, Paolo Masulli, and Antonio Javier Pons Rivero, 9887:510-517. Lecture Notes in Computer Science. Cham: Springer Nature.