28 Publikationen
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2024 | Konferenzbeitrag | PUB-ID: 2992095FairGLVQ: Fairness in Partition-Based ClassificationPUB | DOI | Download (ext.) | WoS
Störck F, Hinder F, Brinkrolf J, Paaßen B, Vaquet V, Hammer B (2024)
In: Proceedings of the 15th International Workshop on Self-Organizing Maps (WSOM 2024). Villmann T, Kaden M, Geweniger T, Schleif F-M (Eds); Cham: Springer Nature Switzerland: 141-151. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2993741Causes of Rejects in Prototype-based Classification Aleatoric vs. Epistemic UncertaintyPUB | DOI
Brinkrolf J, Vaquet V, Hinder F, Hammer B (2024)
In: ESANN 2024 proceesdings. Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 191-196. -
2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2993739Challenges, Methods, Data–A Survey of Machine Learning in Water Distribution NetworksPUB | DOI
Vaquet V, Hinder F, Artelt A, Ashraf I, Strotherm J, Vaquet J, Brinkrolf J, Hammer B (2024)
In: Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IX. Wand M, Malinovská K, Schmidhuber J, Tetko IV (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 155-170. -
2023 | Konferenzbeitrag | Angenommen | PUB-ID: 2982899
Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor ShiftsPUB | PDF
Vaquet V, Brinkrolf J, Hammer B (Accepted) . -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982167On the Hardness and Necessity of Supervised Concept Drift DetectionPUB | DOI
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)
In: Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods ICPRAM. Vol. 1. De Marsico M, Sanniti di Baja G, Fred A (Eds); Setúbal: SCITEPRESS - Science and Technology Publications: 164-175. -
2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2977934On the Change of Decision Boundary and Loss in Learning with Concept DriftPUB | DOI
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)
In: Advances in Intelligent Data Analysis XXI. 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings. Crémilleux B, Hess S, Nijssen S (Eds); Lecture Notes in Computer Science, 13876. Cham: Springer : 182-194. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981289Model-based explanations of concept driftPUB | DOI | Download (ext.) | WoS
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)
Neurocomputing: 126640. -
2023 | Bielefelder E-Dissertation | PUB-ID: 2985339
Learning Vector Quantization for the Real-World: Privacy, Robustness, and SparsityPUB | PDF | DOI
Brinkrolf J (2023)
Bielefeld: Universität Bielefeld. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2969460Explaining Reject Options of Learning Vector Quantization ClassifiersPUB | DOI
Artelt A, Brinkrolf J, Visser R, Hammer B (2022)
In: Proceedings of the 14th International Joint Conference on Computational Intelligence. SCITEPRESS - Science and Technology Publications: 249-261. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088Localization of Concept Drift: Identifying the Drifting DatapointsPUB | DOI | Download (ext.)
Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022)
In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-9. -
2022 | Konferenzbeitrag | Angenommen | PUB-ID: 2964534Federated learning vector quantization for dealing with drift between nodesPUB
Vaquet V, Hinder F, Brinkrolf J, Menz P, Seiffert U, Hammer B (Accepted)
Presented at the 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2022, Bruges. -
2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861Localization of Concept Drift: Identifying the Drifting DatapointsPUB
Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022) . -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962650
Taking care of our drinking water: Dealing with Sensor Faults in Water Distribution NetworksPUB | PDF
Vaquet V, Artelt A, Brinkrolf J, Hammer B (2022)
Presented at the 31st International Conference on Artificial Neural Networks, Bristol. -
2021 | Konferenzbeitrag | PUB-ID: 2959428Fast Non-Parametric Conditional Density Estimation using Moment TreesPUB
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)
IEEE Computational Intelligence Magazine. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960754A Shape-Based Method for Concept Drift Detection and Signal DenoisingPUB | DOI
Hinder F, Brinkrolf J, Vaquet V, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE: 01-08. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960755Fast Non-Parametric Conditional Density Estimation using Moment TreesPUB | DOI
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE: 1-7. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960687Online Learning on Non-Stationary Data Streams for Image Recognition using Deep EmbeddingsPUB | DOI
Vaquet V, Hinder F, Vaquet J, Brinkrolf J, Hammer B (2021)
IEEE Symposium Series on Computational Intelligence: 1-7. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747Evaluating Robustness of Counterfactual ExplanationsPUB | DOI
Artelt A, Vaquet V, Velioglu R, Hinder F, Brinkrolf J, Schilling M, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE: 01-09. -
2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2955948Federated Learning Vector QuantizationPUB
Brinkrolf J, Hammer B (Accepted)
In: Proceedings of the ESANN, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); . -
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2940666Sparse Metric Learning in Prototype-based ClassificationPUB
Brinkrolf J, Hammer B (2020)
In: Proceedings of the ESANN, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); 375-380. -
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2933715
Differential privacy for learning vector quantizationPUB | PDF | DOI | WoS
Brinkrolf J, Göpfert C, Hammer B (2019)
Neurocomputing 342: 125-136. -
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932914Time integration and reject options for probabilistic output of pairwise LVQPUB | DOI | WoS
Brinkrolf J, Hammer B (2019)
Neural Computing and Applications. -
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918254Differential private relevance learningPUB | Download (ext.)
Brinkrolf J, Berger K, Hammer B (2018)
In: Proceedings of the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018). Verleysen M (Ed); 555-560. -
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918244Interpretable Machine Learning with Reject OptionPUB | DOI | WoS
Brinkrolf J, Hammer B (2018)
at - Automatisierungstechnik 66(4): 283-290. -
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914945Probabilistic extension and reject options for pairwise LVQPUB | DOI
Brinkrolf J, Hammer B (2017)
In: 2017 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM). Piscataway, NJ: IEEE. -
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372
Efficient Kernelization of Discriminative Dimensionality ReductionPUB | PDF | DOI | WoS
Schulz A, Brinkrolf J, Hammer B (2017)
Neurocomputing 268(SI): 34-41. -
2017 | Konferenzbeitrag | PUB-ID: 2914950Differential Privacy for Learning Vector QuantizationPUB
Brinkrolf J, Berger K, Hammer B (2017)
In: New Challenges in Neural Computation. -
2016 | Konferenzbeitrag | PUB-ID: 2909365Virtual optimisation for improved production planningPUB
Brinkrolf J, Mittag T, Joppen R, Dr\ A, Pietsch K-H, Hammer B (2016)
In: New Challenges in Neural Computation.