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Davide Cacciarelli
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2020 – today
- 2024
- [j4]Davide Cacciarelli, Murat Kulahci:
Active learning for data streams: a survey. Mach. Learn. 113(1): 185-239 (2024) - [j3]Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal:
Robust online active learning. Qual. Reliab. Eng. Int. 40(1): 277-296 (2024) - [i5]Dani Manjah, Davide Cacciarelli, Christophe De Vleeschouwer, Benoît Macq:
Camera clustering for scalable stream-based active distillation. CoRR abs/2404.10411 (2024) - 2023
- [c1]Dani Manjah, Davide Cacciarelli, Mohamed Benkedadra, Baptiste Standaert, Gauthier Rotsart De Hertaing, Benoît Macq, Stéphane Galland, Christophe De Vleeschouwer:
Stream-Based Active Distillation for Scalable Model Deployment. CVPR Workshops 2023: 4999-5007 - [i4]Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal:
Robust online active learning. CoRR abs/2302.00422 (2023) - [i3]Davide Cacciarelli, Murat Kulahci:
A survey on online active learning. CoRR abs/2302.08893 (2023) - 2022
- [j2]Davide Cacciarelli, Murat Kulahci:
A novel fault detection and diagnosis approach based on orthogonal autoencoders. Comput. Chem. Eng. 163: 107853 (2022) - [j1]Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal:
Stream-based active learning with linear models. Knowl. Based Syst. 254: 109664 (2022) - [i2]Davide Cacciarelli, Murat Kulahci, John Sølve Tyssedal:
Stream-based active learning with linear models. CoRR abs/2207.09874 (2022) - [i1]Davide Cacciarelli, Murat Kulahci, John Tyssedal:
Online Active Learning for Soft Sensor Development using Semi-Supervised Autoencoders. CoRR abs/2212.13067 (2022)
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last updated on 2024-06-10 20:23 CEST by the dblp team
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