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Davide Cacciarelli
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Year
A novel fault detection and diagnosis approach based on orthogonal autoencoders
D Cacciarelli, M Kulahci
Computers & Chemical Engineering 163, 107853, 2022
282022
Active learning for data streams: a survey
D Cacciarelli, M Kulahci
Machine Learning, 1-55, 2024
16*2024
What drives a donor? A machine learning‐based approach for predicting responses of nonprofit direct marketing campaigns
D Cacciarelli, M Boresta
Journal of Philanthropy and Marketing 27 (2), e1724, 2021
132021
Stream-based active learning with linear models
D Cacciarelli, M Kulahci, JS Tyssedal
Knowledge-Based Systems 254, 109664, 2022
122022
Robust online active learning
D Cacciarelli, M Kulahci, JS Tyssedal
Quality and Reliability Engineering International, 2023
92023
Stream-based active distillation for scalable model deployment
D Manjah, D Cacciarelli, B Standaert, M Benkedadra, GR De Hertaing, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
92023
Online active learning for soft sensor development using semi-supervised autoencoders
D Cacciarelli, M Kulahci, J Tyssedal
ICML 2022 Workshop on Adaptive Experimental Design and Active Learning in …, 2022
92022
Hidden dimensions of the data: PCA vs autoencoders
D Cacciarelli, M Kulahci
Quality Engineering 35 (4), 741-750, 2023
52023
Camera clustering for scalable stream-based active distillation
D Manjah, D Cacciarelli, C De Vleeschouwer, B Macq
arXiv preprint arXiv:2404.10411, 2024
2024
Real-time sampling strategies for regression with irrelevant features
D Cacciarelli, JS Tyssedal, M Kulahci
International Journal of Semantic Computing, 2024
2024
Active Learning for Data Streams
D Cacciarelli
NTNU, 2024
2024
Stream-Based Active Learning for Regression with Dynamic Feature Selection
D Cacciarelli, JS Tyssedal, M Kulahci
2023 Fifth International Conference on Transdisciplinary AI (TransAI), 243-248, 2023
2023
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Articles 1–12