Johannes Brinkrolf

jb@techfak.uni-bielefeld.de
ORCID logo https://orcid.org/0000-0002-0032-7623

PEVZ-ID
40028560

25 Publikationen

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  • [25]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981289
    Hinder, Fabian, Vaquet, Valerie, Brinkrolf, Johannes, and Hammer, Barbara. “Model-based explanations of concept drift”. Neurocomputing (2023): 126640.
    PUB | DOI | Download (ext.) | WoS
     
  • [24]
    2023 | Bielefelder E-Dissertation | PUB-ID: 2985339 OA
    Brinkrolf, Johannes. Learning Vector Quantization for the Real-World: Privacy, Robustness, and Sparsity. Bielefeld: Universität Bielefeld, 2023.
    PUB | PDF | DOI
     
  • [23]
    2023 | Konferenzbeitrag | Angenommen | PUB-ID: 2982899 OA
    Vaquet, Valerie, Brinkrolf, Johannes, and Hammer, Barbara. “Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts”., Accepted.
    PUB | PDF
     
  • [22]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982167
    Hinder, Fabian, Vaquet, Valerie, Brinkrolf, Johannes, and Hammer, Barbara. “On the Hardness and Necessity of Supervised Concept Drift Detection”. Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods ICPRAM. Vol. 1. Ed. Maria De Marsico, Gabriella Sanniti di Baja, and Ana Fred. Setúbal: SCITEPRESS - Science and Technology Publications, 2023. 164-175.
    PUB | DOI
     
  • [21]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2977934
    Hinder, Fabian, Vaquet, Valerie, Brinkrolf, Johannes, and Hammer, Barbara. “On the Change of Decision Boundary and Loss in Learning with Concept Drift”. Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Ed. Bruno Crémilleux, Sibylle Hess, and Siegfried Nijssen. Cham: Springer , 2023.Vol. 13876. Lecture Notes in Computer Science. 182-194.
    PUB | DOI
     
  • [20]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088
    Hinder, Fabian, Vaquet, Valerie, Brinkrolf, Johannes, Artelt, André, and Hammer, Barbara. “Localization of Concept Drift: Identifying the Drifting Datapoints”. 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022. 1-9.
    PUB | DOI | Download (ext.)
     
  • [19]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969460
    Artelt, André, Brinkrolf, Johannes, Visser, Roel, and Hammer, Barbara. “Explaining Reject Options of Learning Vector Quantization Classifiers”. Proceedings of the 14th International Joint Conference on Computational Intelligence. SCITEPRESS - Science and Technology Publications, 2022. 249-261.
    PUB | DOI
     
  • [18]
    2022 | Konferenzbeitrag | Angenommen | PUB-ID: 2964534
    Vaquet, Valerie, Hinder, Fabian, Brinkrolf, Johannes, Menz, Patrick, Seiffert, Udo, and Hammer, Barbara. “Federated learning vector quantization for dealing with drift between nodes”. Presented at the 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges, Accepted.
    PUB
     
  • [17]
    2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861
    Hinder, Fabian, Vaquet, Valerie, Brinkrolf, Johannes, Artelt, André, and Hammer, Barbara. “Localization of Concept Drift: Identifying the Drifting Datapoints”., 2022.
    PUB
     
  • [16]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962650 OA
    Vaquet, Valerie, Artelt, André, Brinkrolf, Johannes, and Hammer, Barbara. “Taking care of our drinking water: Dealing with Sensor Faults in Water Distribution Networks”. Presented at the 31st International Conference on Artificial Neural Networks, Bristol, 2022.
    PUB | PDF
     
  • [15]
    2021 | Konferenzbeitrag | PUB-ID: 2959428
    Hinder, Fabian, Vaquet, Valerie, Brinkrolf, Johannes, and Hammer, Barbara. “Fast Non-Parametric Conditional Density Estimation using Moment Trees”. IEEE Computational Intelligence Magazine (2021).
    PUB
     
  • [14]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960687
    Vaquet, Valerie, Hinder, Fabian, Vaquet, Jonas, Brinkrolf, Johannes, and Hammer, Barbara. “Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings”. IEEE Symposium Series on Computational Intelligence (2021): 1-7.
    PUB | DOI
     
  • [13]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960754
    Hinder, Fabian, Brinkrolf, Johannes, Vaquet, Valerie, and Hammer, Barbara. “A Shape-Based Method for Concept Drift Detection and Signal Denoising”. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE, 2021. 01-08.
    PUB | DOI
     
  • [12]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960755
    Hinder, Fabian, Vaquet, Valerie, Brinkrolf, Johannes, and Hammer, Barbara. “Fast Non-Parametric Conditional Density Estimation using Moment Trees”. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE, 2021. 1-7.
    PUB | DOI
     
  • [11]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747
    Artelt, André, Vaquet, Valerie, Velioglu, Riza, Hinder, Fabian, Brinkrolf, Johannes, Schilling, Malte, and Hammer, Barbara. “Evaluating Robustness of Counterfactual Explanations”. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE, 2021. 01-09.
    PUB | DOI
     
  • [10]
    2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2955948
    Brinkrolf, Johannes, and Hammer, Barbara. “Federated Learning Vector Quantization”. Proceedings of the ESANN, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Ed. Michel Verleysen. Accepted.
    PUB
     
  • [9]
    2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2940666
    Brinkrolf, Johannes, and Hammer, Barbara. “Sparse Metric Learning in Prototype-based Classification”. Proceedings of the ESANN, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Ed. Michel Verleysen. 2020. 375-380.
    PUB
     
  • [8]
    2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2933715 OA
    Brinkrolf, Johannes, Göpfert, Christina, and Hammer, Barbara. “Differential privacy for learning vector quantization”. Neurocomputing 342 (2019): 125-136.
    PUB | PDF | DOI | WoS
     
  • [7]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932914
    Brinkrolf, Johannes, and Hammer, Barbara. “Time integration and reject options for probabilistic output of pairwise LVQ”. Neural Computing and Applications (2019).
    PUB | DOI | WoS
     
  • [6]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918254
    Brinkrolf, Johannes, Berger, Kolja, and Hammer, Barbara. “Differential private relevance learning”. Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018). Ed. Michel Verleysen. 2018. 555-560.
    PUB | Download (ext.)
     
  • [5]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918244
    Brinkrolf, Johannes, and Hammer, Barbara. “Interpretable Machine Learning with Reject Option”. at - Automatisierungstechnik 66.4 (2018): 283-290.
    PUB | DOI | WoS
     
  • [4]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914945
    Brinkrolf, Johannes, and Hammer, Barbara. “Probabilistic extension and reject options for pairwise LVQ”. 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM). Piscataway, NJ: IEEE, 2017.
    PUB | DOI
     
  • [3]
    2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372 OA
    Schulz, Alexander, Brinkrolf, Johannes, and Hammer, Barbara. “Efficient Kernelization of Discriminative Dimensionality Reduction”. Neurocomputing 268.SI (2017): 34-41.
    PUB | PDF | DOI | WoS
     
  • [2]
    2017 | Konferenzbeitrag | PUB-ID: 2914950
    Brinkrolf, Johannes, Berger, Kolja, and Hammer, Barbara. “Differential Privacy for Learning Vector Quantization”. New Challenges in Neural Computation. 2017.
    PUB
     
  • [1]
    2016 | Konferenzbeitrag | PUB-ID: 2909365
    Brinkrolf, Johannes, Mittag, T., Joppen, R., Dr\, A., Pietsch, K.-H., and Hammer, Barbara. “Virtual optimisation for improved production planning”. New Challenges in Neural Computation. 2016.
    PUB
     
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