PUB - Publikationen an der Universität Bielefeld

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• [19]
  

  2022 | Bielefelder E-Dissertation | PUB-ID: 2967691

  Göpfert JP. Robustness in Machine Learning: Adversarial Perturbations, Explanations & Intuition. Bielefeld: Universität Bielefeld; 2022.

  PUB | PDF | DOI
   
• [18]
  

  2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296

  Velioglu R, Göpfert JP, Artelt A, Hammer B. Explainable Artificial Intelligence for Improved Modeling of Processes. In: Yin H, Camacho D, Tino P, eds. Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings. Lecture Notes in Computer Science. Vol 13756. Cham: Springer International Publishing; 2022: 313-325.

  PUB | DOI
   
• [17]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961873

  Göpfert JP, Wersing H, Hammer B. Interpretable locally adaptive nearest neighbors. Neurocomputing. 2022;470:344-351.

  PUB | DOI | WoS
   
• [16]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957385

  Risse N, Göpfert C, Göpfert JP. How to Compare Adversarial Robustness of Classifiers from a Global Perspective. In: Farkaš I, Masulli P, Otte S, Wermter S, eds. Artificial Neural Networks and Machine Learning – ICANN 2021. 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part I. Lecture Notes in Computer Science. Vol 12891. Cham: Springer International Publishing; 2021: 29-41.

  PUB | DOI
   
• [15]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959418

  Göpfert JP, Kuhl U, Hindemith L, Wersing H, Hammer B. Intuitiveness in Active Teaching. IEEE Transactions on Human-Machine Systems. 2021:1-10.

  PUB | DOI | WoS
   
• [14]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961876

  Hindemith L, Göpfert JP, Wiebel-Herboth CB, Wrede B, Vollmer A-L. Why robots should be technical correcting mental models through technical architecture concepts. Interaction Studies . 2021;22(2):244-279.

  PUB | DOI | WoS
   
• [13]
  

  2021 | Zeitschriftenaufsatz | Angenommen | PUB-ID: 2955245

  Stallmann D, Göpfert JP, Schmitz J, Grünberger A, Hammer B. Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation. Bioinformatics . Accepted.

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [12]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2949926

  Mohanty SP, Czakon J, Kaczmarek KA, et al. Deep Learning for Understanding Satellite Imagery: An Experimental Survey. Frontiers in Artificial Intelligence. 2020;3: 534696.

  PUB | PDF | DOI | WoS | PubMed | Europe PMC
   
• [11]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094

  Limberg C, Göpfert JP, Wersing H, Ritter H. Prototype-Based Online Learning on Homogeneously Labeled Streaming Data. In: Farkaš I, Masulli P, Wermter S, eds. Artificial Neural Networks and Machine Learning – ICANN 2020. 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part II. Lecture Notes in Computer Science. Vol 12397. Cham: Springer International Publishing; 2020: 204-213.

  PUB | DOI
   
• [10]
  

  2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982085

  Göpfert JP, Wersing H, Hammer B. Recovering Localized Adversarial Attacks. In: Tetko IV, Kůrková V, Karpov P, Theis F, eds. 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. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2019: 302-311.

  PUB | DOI
   
• [9]
  

  2019 | Preprint | Veröffentlicht | PUB-ID: 2934181

  Göpfert JP, Wersing H, Hammer B. Adversarial attacks hidden in plain sight. 2019.

  PUB | DOI | arXiv
   
• [8]
  

  2018 | Datenpublikation | PUB-ID: 2930611

  Hülsmann F, Göpfert JP, Hammer B, Kopp S, Botsch M. 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.

  PUB | Dateien verfügbar | DOI
   
• [7]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2930862

  Hülsmann F, Göpfert JP, Hammer B, Kopp S, Botsch M. 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. 2018;76:47-59.

  PUB | DOI | Download (ext.) | WoS
   
• [6]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2921316

  Göpfert JP, Hammer B, Wersing H. Mitigating Concept Drift via Rejection. In: Kurkova V, Manolopoulos Y, Hammer B, Iliadis L, Maglogiannis I, eds. Artificial Neural Networks and Machine Learning – ICANN 2018. Proceedings, Part I. Lecture Notes in Computer Science. Vol 11139. Cham: Springer; 2018.

  PUB | PDF | DOI
   
• [5]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2915273

  Göpfert C, Pfannschmidt L, Göpfert JP, Hammer B. Interpretation of Linear Classifiers by Means of Feature Relevance Bounds. Neurocomputing. 2018;298:69-79.

  PUB | PDF | DOI | WoS
   
• [4]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913752

  Göpfert JP, Göpfert C, Botsch M, Hammer B. 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.

  PUB | PDF | DOI
   
• [3]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2915274

  Göpfert C, Göpfert JP, Hammer B. 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. 2017.

  PUB | PDF
   
• [2]
  

  2015 | Report | PUB-ID: 2712107

  Stöckel A, Paaßen B, Dickfelder R, et al. SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments – A Webservice and Open Source Toolkit. bioRxive.org; 2015.

  PUB | PDF | DOI | Download (ext.)
   
• [1]
  

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2683760

  Paaßen B, Stöckel A, Dickfelder R, et al. Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments. In: Maynard D, Erp van M, Davis B, eds. Third Workshop on Semantic Web and Information Extraction (SWAIE). The 25th International Conference on Computational Linguistics (COLING). Dublin, Ireland; 2014: 25-32.

  PUB | PDF | Download (ext.)