U. Michelucci

发表

Applied Deep Learning

Umberto Michelucci, U. Michelucci, 2018, Apress.

Compact optical fluorescence sensor for food quality control using artificial neural networks: application to olive oil

M. Deriu, U. Michelucci, F. Venturini, 2022, Photonics Europe.

Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks

U. Michelucci, F. Venturini, M. Baumgartner, 2020 .

Novel S emi-parametric A lgorithm for I nterference-immune T unable A bsorption S pectroscopy G as S ensing

U. Michelucci, F. Venturini, 2017 .

Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks: Application to olive oil

M. Deriu, U. Michelucci, F. Venturini, 2022, Journal of Food Engineering.

A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score

M. Piepoli, D. Piga, M. Deriu, 2021, Journal of medical Internet research.

New Metric Formulas that Include Measurement Errors in Machine Learning for Natural Sciences

U. Michelucci, F. Venturini, 2022, Expert Syst. Appl..

Collective spin fluctuation mode and Raman scattering in superconducting cuprates

T. Devereaux, A. Kampf, U. Michelucci, 2000, cond-mat/0004144.

Collective modes and electronic raman scattering in the cuprates

T. Devereaux, A. Kampf, U. Michelucci, 2000, cond-mat/0001267.

Research. Project

Umberto Michelucci, U. Michelucci, 2022 .

Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Umberto Michelucci, U. Michelucci, 2018 .

Quantum interference phenomena between impurity states in d-wave superconductors

A. Kampf, U. Michelucci, F. Venturini, 2001, cond-mat/0107621.

Physico-chemical properties extraction from the fluorescence spectrum with 1D-convolutional neural networks: application to olive oil

M. Deriu, U. Michelucci, F. Venturini, 2022, ArXiv.

Training Neural Networks

Umberto Michelucci, U. Michelucci, 2018 .

Optical Oxygen Sensing with Artificial Intelligence

Umberto Michelucci, Michael Baumgartner, Francesca Venturini, 2019, Sensors.

Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python

U. Michelucci, 2022 .

Dual Oxygen and Temperature Luminescence Learning Sensor with Parallel Inference

Umberto Michelucci, Francesca Venturini, Michael Baumgartner, 2020, Sensors.

New approach for luminescence sensing based on machine learning

Michael Baumgartner, Francesca Venturini, U. Michelucci, 2019, OPTO.

Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques

Umberto Michelucci, Marco Agostino Deriu, Francesca Venturini, 2021, Foods.

Multi-Task Learning for Multi-Dimensional Regression: Application to Luminescence Sensing pdf

Umberto Michelucci, Francesca Venturini, U. Michelucci, 2019, Applied Sciences.

Estimating Neural Network's Performance with Bootstrap: A Tutorial

Umberto Michelucci, Francesca Venturini, U. Michelucci, 2021, Mach. Learn. Knowl. Extr..

A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score

M. Piepoli, D. Piga, M. Deriu, 2021, Journal of Medical Internet Research.

A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification

Umberto Michelucci, Dario Piga, Francesca Venturini, 2021, Algorithms.

One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge: explainability techniques applied to olive oil fluorescence spectra

M. Deriu, U. Michelucci, F. Venturini, 2022, Photonics Europe.

Novel Semi-Parametric Algorithm for Interference-Immune Tunable Absorption Spectroscopy Gas Sensing

Umberto Michelucci, Francesca Venturini, U. Michelucci, 2017, Sensors.

Predicting clinical outcomes in the Machine Learning era: The Piacenza score a purely data driven approach for mortality prediction in COVID-19 Pneumonia

M. Piepoli, D. Piga, M. Deriu, 2021, medRxiv.

Feedforward Neural Networks

Umberto Michelucci, U. Michelucci, 2018 .

Deep Learning Domain Adaptation to Understand Physico-Chemical Processes from Fluorescence Spectroscopy Small Datasets: Application to Ageing of Olive Oil

U. Michelucci, F. Venturini, 2024, 2406.10031.