Prati
Andrea Castellani, PhD
Andrea Castellani, PhD
Senior Scientist at Honda Research Institute Europe GmbH (HRI-EU)
Potvrđena adresa e-pošte na honda-ri.de
Naslov
Citirano
Citirano
Godina
Real-world anomaly detection by using digital twin systems and weakly supervised learning
A Castellani, S Schmitt, S Squartini
IEEE Transactions on Industrial Informatics 17 (7), 4733-4742, 2020
1472020
Task-sensitive concept drift detector with constraint embedding
A Castellani, S Schmitt, B Hammer
2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-08, 2021
232021
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise
A Castellani, S Schmitt, B Hammer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
232021
Stream-based active learning with verification latency in non-stationary environments
A Castellani, S Schmitt, B Hammer
International Conference on Artificial Neural Networks, 260-272, 2022
132022
tfelm: a TensorFlow Toolbox for the Investigation of ELMs and MLPs Performance
A Castellani, S Cornell, L Falaschetti, C Turchetti
Proceedings on the International Conference on Artificial Intelligence (ICAI …, 2018
22018
Method and system for semi-supervised deep anomaly detection for large-scale industrial monitoring systems based on time-series data utilizing digital twin simulation data
S Schmitt, A Castellani, S Squartini
US Patent 12,093,818, 2024
12024
A multiband structure based on hammerstein model for nonlinear audio system identification
A Terenzi, V Bruschi, S Cornell, A Castellani, S Cecchi
2019 11th International Symposium on Image and Signal Processing and …, 2019
12019
Confidence Interval Estimation of Predictive Performance in the Context of AutoML
K Paraschakis, A Castellani, G Borboudakis, I Tsamardinos
arXiv preprint arXiv:2406.08099, 2024
2024
Dealing with Inaccurate and Incomplete Labels in Industrial Streaming Data
A Castellani
2024
Method and system for semi-supervised deep anomaly detection for large-scale industrial monitoring systems based on time-series data utilizing digital twin simulation data
A Castellani, S Schmitt, S Squartini
2019
Analisi della risposta a creep di una lega da additive manufacturing
A CASTELLANI
2019
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