Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets F D'Ascenzo, O De Filippo, G Gallone, G Mittone, MA Deriu, ...
The Lancet 397 (10270), 199-207, 2021
192 2021 Applied Deep Learning with TensorFlow 2 U Michelucci
Springer Nature / APRESS, 2022
179 * 2022 Advanced applied deep learning: convolutional neural networks and object detection U Michelucci
Apress, 2019
143 * 2019 An introduction to autoencoders U Michelucci
arXiv preprint arXiv:2201.03898, 2022
94 2022 A machine learning approach for mortality prediction in COVID-19 pneumonia: development and evaluation of the Piacenza score G Halasz, M Sperti, M Villani, U Michelucci, P Agostoni, A Biagi, L Rossi, ...
Journal of Medical Internet Research 23 (5), e29058, 2021
42 2021 Estimating Neural Network’s Performance with Bootstrap: A Tutorial U Michelucci, F Venturini
Mach. Learn. Knowl. Extr. 3 (2), 353-373, 2021
32 2021 Collective spin fluctuation mode and Raman scattering in superconducting cuprates F Venturini, U Michelucci, TP Devereaux, AP Kampf
Physical Review B 62 (22), 15204, 2000
31 2000 Exploration of spanish olive oil quality with a miniaturized low-cost fluorescence sensor and machine learning techniques F Venturini, M Sperti, U Michelucci, I Herzig, M Baumgartner, ...
Foods 10 (5), 1010, 2021
27 2021 Optical oxygen sensing with artificial intelligence U Michelucci, M Baumgartner, F Venturini
Sensors 19 (4), 777, 2019
22 2019 Introduction to convolutional neural networks: with image classification using PyTorch N Milosevic, M Corchero, AF Gad, U Michelucci
Apress, 2020
20 2020 Multi-task learning for multi-dimensional regression: application to luminescence sensing U Michelucci, F Venturini
Applied Sciences 9 (22), 4748, 2019
19 2019 Anisotropic conductivity of A Pimenov, AV Pronin, A Loidl, U Michelucci, AP Kampf, ...
Physical Review B 62 (14), 9822, 2000
16 2000 Comment on “Nonmonotonic F Venturini, R Hackl, U Michelucci
Physical review letters 90 (14), 149701, 2003
13 2003 Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks: Application to olive oil F Venturini, M Sperti, U Michelucci, A Gucciardi, VM Martos, MA Deriu
Journal of Food Engineering 336, 111198, 2023
12 2023 Dual oxygen and temperature luminescence learning sensor with parallel inference F Venturini, U Michelucci, M Baumgartner
Sensors 20 (17), 4886, 2020
9 2020 Novel semi-parametric algorithm for interference-immune tunable absorption spectroscopy gas Sensing U Michelucci, F Venturini
Sensors 17 (10), 2281, 2017
5 2017 One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge: Explainability techniques applied to olive oil fluorescence spectra F Venturini, U Michelucci, M Sperti, A Gucciardi, MA Deriu
Optical Sensing and Detection VII 12139, 326-333, 2022
3 2022 Physico-chemical properties extraction from the fluorescence spectrum with 1d-convolutional neural networks: application to olive oil F Venturini, M Sperti, U Michelucci, A Gucciardi, VM Martose, MA Deriu
arXiv preprint arXiv:2203.07229, 2022
3 2022 A model-agnostic algorithm for bayes error determination in binary classification U Michelucci, M Sperti, D Piga, F Venturini, MA Deriu
Algorithms 14 (11), 301, 2021
3 2021 Quantum interference phenomena between impurity states in d-wave superconductors U Michelucci, F Venturini, AP Kampf
Journal of Physics and Chemistry of Solids 63 (12), 2283-2286, 2002
3 2002 
Francesca VenturiniProfessor of Physics, Zurich University of Applied SciencesBestätigte E-Mail-Adresse bei zhaw.ch
