Valerie Vaquet

vvaquet@techfak.uni-bielefeld.de
ORCID logo https://orcid.org/0000-0001-7659-857X

PEVZ-ID
222892347

21 Publikationen

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  • [21]
    2024 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2988509
    Hinder F, Vaquet V, Hammer B (2024)
    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.
    PUB | DOI
     
  • [20]
    2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2981289
    Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)
    Model-based explanations of concept drift.
    Neurocomputing: 126640.
    PUB | DOI | Download (ext.) | WoS
     
  • [19]
    2023 | Konferenzbeitrag | Angenommen | PUB-ID: 2982899 OA
    Vaquet V, Brinkrolf J, Hammer B (Accepted)
    Robust Feature Selection and Robust Training to Cope with Hyperspectral Sensor Shifts.
    PUB | PDF
     
  • [18]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982167
    Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)
    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.
    PUB | DOI
     
  • [17]
    2023 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2977934
    Hinder F, Vaquet V, Brinkrolf J, Hammer B (2023)
    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.
    PUB | DOI
     
  • [16]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962746 OA
    Artelt A, Hinder F, Vaquet V, Feldhans R, Hammer B (2022)
    Contrasting Explanations for Understanding and Regularizing Model Adaptations.
    Neural Processing Letters 55: 5273–5297.
    PUB | PDF | DOI | Download (ext.) | WoS
     
  • [15]
    2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2984050
    Hinder F, Vaquet V, Hammer B (2022)
    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.
    PUB | DOI
     
  • [14]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2966088
    Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022)
    Localization of Concept Drift: Identifying the Drifting Datapoints.
    In: 2022 International Joint Conference on Neural Networks (IJCNN). IEEE: 1-9.
    PUB | DOI | Download (ext.)
     
  • [13]
    2022 | Konferenzbeitrag | Angenommen | PUB-ID: 2964534
    Vaquet V, Hinder F, Brinkrolf J, Menz P, Seiffert U, Hammer B (Accepted)
    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.
    PUB
     
  • [12]
    2022 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2962928
    Vaquet V, Menz P, Seiffert U, Hammer B (2022)
    Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data.
    Neurocomputing.
    PUB | DOI | WoS
     
  • [11]
    2022 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2962861
    Hinder F, Vaquet V, Brinkrolf J, Artelt A, Hammer B (2022)
    Localization of Concept Drift: Identifying the Drifting Datapoints.
    PUB
     
  • [10]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962650 OA
    Vaquet V, Artelt A, Brinkrolf J, Hammer B (2022)
    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.
    PUB | PDF
     
  • [9]
    2021 | Konferenzbeitrag | PUB-ID: 2959428
    Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)
    Fast Non-Parametric Conditional Density Estimation using Moment Trees.
    IEEE Computational Intelligence Magazine.
    PUB
     
  • [8]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960687
    Vaquet V, Hinder F, Vaquet J, Brinkrolf J, Hammer B (2021)
    Online Learning on Non-Stationary Data Streams for Image Recognition using Deep Embeddings.
    IEEE Symposium Series on Computational Intelligence: 1-7.
    PUB | DOI
     
  • [7]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960754
    Hinder F, Brinkrolf J, Vaquet V, Hammer B (2021)
    A Shape-Based Method for Concept Drift Detection and Signal Denoising.
    In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE: 01-08.
    PUB | DOI
     
  • [6]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960755
    Hinder F, Vaquet V, Brinkrolf J, Hammer B (2021)
    Fast Non-Parametric Conditional Density Estimation using Moment Trees.
    In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. Piscataway, NJ: IEEE: 1-7.
    PUB | DOI
     
  • [5]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2960685
    Vaquet V, Menz P, Seiffert U, Hammer B (2021)
    Investigating Intensity and Transversal Drift in Hyperspectral Imaging Data.
    In: ESANN 2021 proceedings. Verleysen M (Ed); Louvain-la-Neuve (Belgium): Ciaco - i6doc.com: 47-52.
    PUB | DOI
     
  • [4]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957373
    Artelt A, Hinder F, Vaquet V, Feldhans R, Hammer B (2021)
    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.
    PUB | DOI
     
  • [3]
    2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747
    Artelt A, Vaquet V, Velioglu R, Hinder F, Brinkrolf J, Schilling M, Hammer B (2021)
    Evaluating Robustness of Counterfactual Explanations.
    In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). Piscataway, NJ: IEEE: 01-09.
    PUB | DOI
     
  • [2]
    2020 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2958328
    Vaquet V, Hammer B (2020)
    Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced 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. Farkaš I, Masulli P, Wermter S (Eds); Lecture Notes in Computer Science, 12397. Cham: Springer: 850-862.
    PUB | DOI
     
  • [1]
    2019 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2935044 OA
    Artelt A, Jakob J, Vaquet V (2019)
    Continuous online user authentication based on keystroke dynamics.
    Presented at the Interdisciplinary College (IK), Günne/Möhnesee, Germany.
    PUB | Dateien verfügbar
     
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