19 Publikationen
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2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296Velioglu R, Göpfert JP, Artelt A, Hammer B (2022)PUB | DOI
Explainable Artificial Intelligence for Improved Modeling of Processes.
In: Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Yin H, Camacho D, Tino P (Eds); Lecture Notes in Computer Science, 13756. Cham: Springer International Publishing: 313-325. -
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957385Risse N, Göpfert C, Göpfert JP (2021)PUB | DOI
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. Farkaš I, Masulli P, Otte S, Wermter S (Eds); Lecture Notes in Computer Science, 12891. Cham: Springer International Publishing: 29-41. -
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2021 | Zeitschriftenaufsatz | Angenommen | PUB-ID: 2955245Stallmann D, Göpfert JP, Schmitz J, Grünberger A, Hammer B (Accepted)PUB | DOI | WoS | PubMed | Europe PMC
Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation.
Bioinformatics . -
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2949926Mohanty SP, Czakon J, Kaczmarek KA, Pyskir A, Tarasiewicz P, Kunwar S, Rohrbach J, Luo D, Prasad M, Fleer S, Göpfert JP, Tandon A, Mollard G, Rayaprolu N, Salathe M, Schilling M (2020)PUB | PDF | DOI | WoS | PubMed | Europe PMC
Deep Learning for Understanding Satellite Imagery: An Experimental Survey.
Frontiers in Artificial Intelligence 3: 534696. -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094Limberg C, Göpfert JP, Wersing H, Ritter H (2020)PUB | DOI
Prototype-Based Online Learning on Homogeneously Labeled Streaming Data.
In: Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II. Farkaš I, Masulli P, Wermter S (Eds); Lecture Notes in Computer Science, 12397. Cham: Springer International Publishing: 204-213. -
2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982085Göpfert JP, Wersing H, Hammer B (2019)PUB | DOI
Recovering Localized Adversarial Attacks.
In: Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation. 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I. Tetko IV, Kůrková V, Karpov P, Theis F (Eds); Lecture Notes in Computer Science, Cham: Springer International Publishing: 302-311. -
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2018 | Datenpublikation | PUB-ID: 2930611Hülsmann F, Göpfert JP, Hammer B, Kopp S, Botsch M (2018)PUB | Dateien verfügbar | DOI
Classification of motor errors to provide real-time feedback for sports coaching in virtual reality - A case study in squats and Tai Chi pushes (Data).
Bielefeld University. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2930862Hülsmann F, Göpfert JP, Hammer B, Kopp S, Botsch M (2018)PUB | DOI | Download (ext.) | WoS
Classification of motor errors to provide real-time feedback for sports coaching in virtual reality — A case study in squats and Tai Chi pushes.
Computers & Graphics 76: 47-59. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2921316Göpfert JP, Hammer B, Wersing H (2018)PUB | PDF | DOI
Mitigating Concept Drift via Rejection.
In: Artificial Neural Networks and Machine Learning – ICANN 2018. Proceedings, Part I. Kurkova V, Manolopoulos Y, Hammer B, Iliadis L, Maglogiannis I (Eds); Lecture Notes in Computer Science, 11139. Cham: Springer. -
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2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913752Göpfert JP, Göpfert C, Botsch M, Hammer B (2017)PUB | PDF | DOI
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 C, Göpfert JP, Hammer B (2017)PUB | PDF
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. . -
2015 | Report | PUB-ID: 2712107Stöckel A, Paaßen B, Dickfelder R, Göpfert JP, Brazda N, Müller HW, Cimiano P, Hartung M, Klinger R (2015)PUB | PDF | DOI | Download (ext.)
SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments – A Webservice and Open Source Toolkit.
bioRxive.org. -
2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2683760Paaßen B, Stöckel A, Dickfelder R, Göpfert JP, Brazda N, Kirchhoffer T, Müller HW, Klinger R, Hartung M, Cimiano P (2014)PUB | PDF | Download (ext.)
Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments.
In: Third Workshop on Semantic Web and Information Extraction (SWAIE). The 25th International Conference on Computational Linguistics (COLING). Maynard D, Erp van M, Davis B (Eds); Dublin, Ireland: 25-32.