21 Publikationen
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2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2988509Hinder F, Vaquet V, Hammer B (2024)PUB | DOI
A Remark on Concept Drift for Dependent Data.
In: Advances in Intelligent Data Analysis XXII. 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part I. Miliou I, Piatkowski N, Papapetrou P (Eds); Lecture Notes in Computer Science, Cham: Springer Nature Switzerland: 77-89. -
2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2987572Schroeder S, Schulz A, Hinder F, Hammer B (2024)PUB | DOI
Semantic Properties of Cosine Based Bias Scores for Word Embeddings.
In: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods. Vol. 1. Setúbal, Portugal: SCITEPRESS - Science and Technology Publications: 160-168. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981289Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)PUB | DOI | Download (ext.) | WoS
Model-based explanations of concept drift.
Neurocomputing: 126640. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982830Hinder F, Hammer B (2023)PUB
Feature Selection for Concept Drift Detection.
In: ESANN 2023 Proceedings. Verleysen M (Ed);. -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982167Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)PUB | DOI
On the Hardness and Necessity of Supervised Concept Drift Detection.
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: 2977934Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)PUB | DOI
On the Change of Decision Boundary and Loss in Learning with Concept Drift.
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. -
2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962746Artelt A, Hinder F, Vaquet V, Feldhans R, Hammer B (2022)PUB | PDF | DOI | Download (ext.) | WoS
Contrasting Explanations for Understanding and Regularizing Model Adaptations.
Neural Processing Letters 55: 5273–5297. -
2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984050Hinder F, Vaquet V, Hammer B (2022)PUB | DOI
Suitability of Different Metric Choices for Concept Drift Detection.
In: Advances in Intelligent Data Analysis XX. 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20–22, 2022, Proceedings. Bouadi T, Fromont E, Hüllermeier E (Eds); Lecture Notes in Computer Science, Cham: Springer International Publishing: 157-170. -
2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022)PUB | DOI | Download (ext.)
Localization of Concept Drift: Identifying the Drifting Datapoints.
In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-9. -
2022 | Konferenzbeitrag | Angenommen | PUB-ID: 2964534Vaquet V, Hinder F, Brinkrolf J, Menz P, Seiffert U, Hammer B (Accepted)PUB
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. -
2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022)PUB
Localization of Concept Drift: Identifying the Drifting Datapoints. -
2021 | Konferenzbeitrag | PUB-ID: 2959428Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)PUB
Fast Non-Parametric Conditional Density Estimation using Moment Trees.
IEEE Computational Intelligence Magazine. -
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2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957373Artelt A, Hinder F, Vaquet V, Feldhans R, Hammer B (2021)PUB | DOI
Contrastive Explanations for Explaining Model Adaptations.
In: Advances in Computational Intelligence. 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16–18, 2021, Proceedings, Part I. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science, Cham: Springer : 101-112. -
2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747Artelt A, Vaquet V, Velioglu R, Hinder F, Brinkrolf J, Schilling M, Hammer B (2021)PUB | DOI
Evaluating Robustness of Counterfactual Explanations.
In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE: 01-09. -
2021 | Konferenzbeitrag | Angenommen | PUB-ID: 2956774Hinder F, Hammer B (Accepted)PUB
Concept Drift Segmentation via Kolmogorov Trees.
In: Proceedings of the ESANN, 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed);. -
2020 | Konferenzbeitrag | PUB-ID: 2943260Schulz A, Hinder F, Hammer B (2020)PUB | DOI | Download (ext.) | arXiv
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction.
In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}. . -
2020 | Konferenzbeitrag | PUB-ID: 2946488Hinder F, Artelt A, Hammer B (2020)PUB | Download (ext.)
Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD).
In: Proceedings of the 37th International Conference on Machine Learning. . -
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939517Pfannschmidt L, Jakob J, Hinder F, Biehl M, Tino P, Hammer B (2020)PUB | DOI | Download (ext.) | WoS | arXiv
Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information.
Neurocomputing.