17 Publikationen

Alle markieren

[17]
2022 | Konferenzbeitrag | Eingereicht | PUB-ID: 2962650 OA PUB | PDF
 
[16]
2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861
Localization of Concept Drift: Identifying the Drifting Datapoints
Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022) .
PUB
 
[15]
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747
Evaluating Robustness of Counterfactual Explanations
Artelt A, Vaquet V, Velioglu R, Hinder F, Brinkrolf J, Schilling M, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 01-09.
PUB | DOI
 
[14]
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960755
Fast Non-Parametric Conditional Density Estimation using Moment Trees
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE: 1-7.
PUB | DOI
 
[13]
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960754
A Shape-Based Method for Concept Drift Detection and Signal Denoising
Hinder F, Brinkrolf J, Vaquet V, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE: 01-08.
PUB | DOI
 
[12]
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960687
Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings
Vaquet V, Hinder F, Vaquet J, Brinkrolf J, Hammer B (2021)
IEEE Symposium Series on Computational Intelligence: 1-7.
PUB | DOI
 
[11]
2021 | Konferenzbeitrag | PUB-ID: 2959428
Fast Non-Parametric Conditional Density Estimation using Moment Trees
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)
In: IEEE Computational Intelligence Magazine. IEEE.
PUB
 
[10]
2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2955948
Federated Learning Vector Quantization
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); .
PUB
 
[9]
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2940666
Sparse Metric Learning in Prototype-based Classification
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.
PUB
 
[8]
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2933715 OA
Differential privacy for learning vector quantization
Brinkrolf J, Göpfert C, Hammer B (2019)
Neurocomputing 342: 125-136.
PUB | PDF | DOI | WoS
 
[7]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932914
Time integration and reject options for probabilistic output of pairwise LVQ
Brinkrolf J, Hammer B (2019)
Neural Computing and Applications.
PUB | DOI | WoS
 
[6]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918254
Differential private relevance learning
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.
PUB | Download (ext.)
 
[5]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918244
Interpretable Machine Learning with Reject Option
Brinkrolf J, Hammer B (2018)
at - Automatisierungstechnik 66(4): 283-290.
PUB | DOI | WoS
 
[4]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914945
Probabilistic extension and reject options for pairwise LVQ
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.
PUB | DOI
 
[3]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372 OA
Efficient Kernelization of Discriminative Dimensionality Reduction
Schulz A, Brinkrolf J, Hammer B (2017)
Neurocomputing 268(SI): 34-41.
PUB | PDF | DOI | WoS
 
[2]
2017 | Konferenzbeitrag | PUB-ID: 2914950
Differential Privacy for Learning Vector Quantization
Brinkrolf J, Berger K, Hammer B (2017)
In: New Challenges in Neural Computation.
PUB
 
[1]
2016 | Konferenzbeitrag | PUB-ID: 2909365
Virtual optimisation for improved production planning
Brinkrolf J, Mittag T, Joppen R, Dr\ A, Pietsch K-H, Hammer B (2016)
In: New Challenges in Neural Computation.
PUB
 

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17 Publikationen

Alle markieren

[17]
2022 | Konferenzbeitrag | Eingereicht | PUB-ID: 2962650 OA PUB | PDF
 
[16]
2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861
Localization of Concept Drift: Identifying the Drifting Datapoints
Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022) .
PUB
 
[15]
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747
Evaluating Robustness of Counterfactual Explanations
Artelt A, Vaquet V, Velioglu R, Hinder F, Brinkrolf J, Schilling M, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE: 01-09.
PUB | DOI
 
[14]
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960755
Fast Non-Parametric Conditional Density Estimation using Moment Trees
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE: 1-7.
PUB | DOI
 
[13]
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960754
A Shape-Based Method for Concept Drift Detection and Signal Denoising
Hinder F, Brinkrolf J, Vaquet V, Hammer B (2021)
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE: 01-08.
PUB | DOI
 
[12]
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960687
Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings
Vaquet V, Hinder F, Vaquet J, Brinkrolf J, Hammer B (2021)
IEEE Symposium Series on Computational Intelligence: 1-7.
PUB | DOI
 
[11]
2021 | Konferenzbeitrag | PUB-ID: 2959428
Fast Non-Parametric Conditional Density Estimation using Moment Trees
Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)
In: IEEE Computational Intelligence Magazine. IEEE.
PUB
 
[10]
2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2955948
Federated Learning Vector Quantization
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); .
PUB
 
[9]
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2940666
Sparse Metric Learning in Prototype-based Classification
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.
PUB
 
[8]
2019 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2933715 OA
Differential privacy for learning vector quantization
Brinkrolf J, Göpfert C, Hammer B (2019)
Neurocomputing 342: 125-136.
PUB | PDF | DOI | WoS
 
[7]
2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932914
Time integration and reject options for probabilistic output of pairwise LVQ
Brinkrolf J, Hammer B (2019)
Neural Computing and Applications.
PUB | DOI | WoS
 
[6]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2918254
Differential private relevance learning
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.
PUB | Download (ext.)
 
[5]
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2918244
Interpretable Machine Learning with Reject Option
Brinkrolf J, Hammer B (2018)
at - Automatisierungstechnik 66(4): 283-290.
PUB | DOI | WoS
 
[4]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2914945
Probabilistic extension and reject options for pairwise LVQ
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.
PUB | DOI
 
[3]
2017 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2909372 OA
Efficient Kernelization of Discriminative Dimensionality Reduction
Schulz A, Brinkrolf J, Hammer B (2017)
Neurocomputing 268(SI): 34-41.
PUB | PDF | DOI | WoS
 
[2]
2017 | Konferenzbeitrag | PUB-ID: 2914950
Differential Privacy for Learning Vector Quantization
Brinkrolf J, Berger K, Hammer B (2017)
In: New Challenges in Neural Computation.
PUB
 
[1]
2016 | Konferenzbeitrag | PUB-ID: 2909365
Virtual optimisation for improved production planning
Brinkrolf J, Mittag T, Joppen R, Dr\ A, Pietsch K-H, Hammer B (2016)
In: New Challenges in Neural Computation.
PUB
 

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