PUB - Publikationen an der Universität Bielefeld

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• [19]
  

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

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

  PUB | PDF | DOI
   
• [18]
  

  2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296

  Velioglu, Riza, Göpfert, Jan Philip, Artelt, André, and Hammer, Barbara. 2022. “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, ed. Hujun Yin, David Camacho, and Peter Tino, 13756:313-325. Lecture Notes in Computer Science. Cham: Springer International Publishing.

  PUB | DOI
   
• [17]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961873

  Göpfert, Jan Philip, Wersing, Heiko, and Hammer, Barbara. 2022. “Interpretable locally adaptive nearest neighbors”. Neurocomputing 470: 344-351.

  PUB | DOI | WoS
   
• [16]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957385

  Risse, 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.

  PUB | DOI
   
• [15]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2959418

  Göpfert, Jan Philip, Kuhl, Ulrike, Hindemith, Lukas, Wersing, Heiko, and Hammer, Barbara. 2021. “Intuitiveness in Active Teaching”. IEEE Transactions on Human-Machine Systems, 1-10.

  PUB | DOI | WoS
   
• [14]
  

  2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961876

  Hindemith, Lukas, Göpfert, Jan Philip, Wiebel-Herboth, Christiane B., Wrede, Britta, and Vollmer, Anna-Lisa. 2021. “Why robots should be technical correcting mental models through technical architecture concepts”. Interaction Studies 22 (2): 244-279.

  PUB | DOI | WoS
   
• [13]
  

  2021 | Zeitschriftenaufsatz | Angenommen | PUB-ID: 2955245

  Stallmann, Dominik, Göpfert, Jan Philip, Schmitz, Julian, Grünberger, Alexander, and Hammer, Barbara. Accepted. “Towards an automatic analysis of CHO-K1 suspension growth in microfluidic single-cell cultivation”. Bioinformatics .

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

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2949926

  Mohanty, Sharada Prasanna, Czakon, Jakub, Kaczmarek, Kamil A., Pyskir, Andrzej, Tarasiewicz, Piotr, Kunwar, Saket, Rohrbach, Janick, et al. 2020. “Deep Learning for Understanding Satellite Imagery: An Experimental Survey”. Frontiers in Artificial Intelligence 3: 534696.

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

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2950094

  Limberg, Christian, Göpfert, Jan Philip, Wersing, Heiko, and Ritter, Helge. 2020. “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, ed. Igor Farkaš, Paolo Masulli, and Stefan Wermter, 12397:204-213. Lecture Notes in Computer Science. Cham: Springer International Publishing.

  PUB | DOI
   
• [10]
  

  2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2982085

  Göpfert, Jan Philip, Wersing, Heiko, and Hammer, Barbara. 2019. “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, ed. Igor V. Tetko, Věra Kůrková, Pavel Karpov, and Fabian Theis, 302-311. Lecture Notes in Computer Science. Cham: Springer International Publishing.

  PUB | DOI
   
• [9]
  

  2019 | Preprint | Veröffentlicht | PUB-ID: 2934181

  Göpfert, Jan Philip, Wersing, Heiko, and Hammer, Barbara. 2019. “Adversarial attacks hidden in plain sight”.

  PUB | DOI | arXiv
   
• [8]
  

  2018 | Datenpublikation | PUB-ID: 2930611

  Hülsmann, Felix, Göpfert, Jan Philip, Hammer, Barbara, Kopp, Stefan, and Botsch, Mario. 2018. 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.

  PUB | Dateien verfügbar | DOI
   
• [7]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2930862

  Hülsmann, Felix, Göpfert, Jan Philip, Hammer, Barbara, Kopp, Stefan, and Botsch, Mario. 2018. “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.

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

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2921316

  Göpfert, Jan Philip, Hammer, Barbara, and Wersing, Heiko. 2018. “Mitigating Concept Drift via Rejection”. In Artificial Neural Networks and Machine Learning – ICANN 2018. Proceedings, Part I, ed. Vera Kurkova, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, and Ilias Maglogiannis. Vol. 11139. Lecture Notes in Computer Science. Cham: Springer.

  PUB | PDF | DOI
   
• [5]
  

  2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2915273

  Göpfert, Christina, Pfannschmidt, Lukas, Göpfert, Jan Philip, and Hammer, Barbara. 2018. “Interpretation of Linear Classifiers by Means of Feature Relevance Bounds”. Neurocomputing 298: 69-79.

  PUB | PDF | DOI | WoS
   
• [4]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913752

  Göpfert, 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.

  PUB | PDF | DOI
   
• [3]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2915274

  Göpfert, 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.

  PUB | PDF
   
• [2]
  

  2015 | Report | PUB-ID: 2712107

  Stöckel, Andreas, Paaßen, Benjamin, Dickfelder, Raphael, Göpfert, Jan Philip, Brazda, Nicole, Müller, Hans Werner, Cimiano, Philipp, Hartung, Matthias, and Klinger, Roman. 2015. SCIE: Information Extraction for Spinal Cord Injury Preclinical Experiments – A Webservice and Open Source Toolkit. bioRxive.org.

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

  2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2683760

  Paaßen, Benjamin, Stöckel, Andreas, Dickfelder, Raphael, Göpfert, Jan Philip, Brazda, Nicole, Kirchhoffer, Tarek, Müller, Hans Werner, Klinger, Roman, Hartung, Matthias, and Cimiano, Philipp. 2014. “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), ed. Diana Maynard, Marieke Erp van, and Brian Davis, 25-32. Dublin, Ireland.

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