A novel fault detection and diagnosis approach based on orthogonal autoencoders D Cacciarelli, M Kulahci Computers & Chemical Engineering 163, 107853, 2022 | 28 | 2022 |
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 | 13 | 2021 |
Stream-based active learning with linear models D Cacciarelli, M Kulahci, JS Tyssedal Knowledge-Based Systems 254, 109664, 2022 | 12 | 2022 |
Robust online active learning D Cacciarelli, M Kulahci, JS Tyssedal Quality and Reliability Engineering International, 2023 | 9 | 2023 |
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 | 9 | 2023 |
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 | 9 | 2022 |
Hidden dimensions of the data: PCA vs autoencoders D Cacciarelli, M Kulahci Quality Engineering 35 (4), 741-750, 2023 | 5 | 2023 |
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 |