Francesca Venturini

Orcid: 0000-0003-2562-9932

According to our database1, Francesca Venturini authored at least 24 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
The Infinite-Dimensional Nature of Spectroscopy and Why Models Succeed, Fail, and Mislead.
CoRR, April, 2026

Large-scale orange fruit dataset for localization, classification and ripening assessment under varying environments.
Comput. Electron. Agric., 2026

2025
Best Practices for Machine Learning Experimentation in Scientific Applications.
CoRR, November, 2025

New Statistical Framework for Extreme Error Probability in High-Stakes Domains for Reliable Machine Learning.
CoRR, March, 2025

2024
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery.
Remote. Sens., 2024

AI can empower agriculture for global food security: challenges and prospects in developing nations.
Frontiers Artif. Intell., 2024

Deep Learning Domain Adaptation to Understand Physico-Chemical Processes from Fluorescence Spectroscopy Small Datasets: Application to Ageing of Olive Oil.
CoRR, 2024

Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysis.
CoRR, 2024

2023
Resonant Raman Spectroscopy of Carotenoids in Aging of Extra Virgin Olive Oil.
Sensors, September, 2023

New metric formulas that include measurement errors in machine learning for natural sciences.
Expert Syst. Appl., August, 2023

Dataset of Fluorescence EEM and UV Spectroscopy Data of Olive Oils during Ageing.
Data, May, 2023

Shedding Light on the Ageing of Extra Virgin Olive Oil: Probing the Impact of Temperature with Fluorescence Spectroscopy and Machine Learning Techniques.
CoRR, 2023

Dataset of Fluorescence Spectra and Chemical Parameters of Olive Oils.
CoRR, 2023

Explainable AI for the Olive Oil Industry.
Proceedings of the Perspectives in Business Informatics Research, 2023

2022
Physico-chemical properties extraction from the fluorescence spectrum with 1D-convolutional neural networks: application to olive oil.
CoRR, 2022

2021
Estimating Neural Network's Performance with Bootstrap: A Tutorial.
Mach. Learn. Knowl. Extr., 2021

Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques.
CoRR, 2021

A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification.
Algorithms, 2021

2020
Dual Oxygen and Temperature Luminescence Learning Sensor with Parallel Inference.
Sensors, 2020

Multi-Task Learning for Multi-Dimensional Regression: Application to Luminescence Sensing.
CoRR, 2020

2019
Optical Oxygen Sensing with Artificial Intelligence.
Sensors, 2019

2018
Mn<sup>4+</sup>-Doped Magnesium Titanate - A Promising Phosphor for Self-Referenced Optical Temperature Sensing.
Sensors, 2018

2017
Novel Semi-Parametric Algorithm for Interference-Immune Tunable Absorption Spectroscopy Gas Sensing.
Sensors, 2017

Nonlinear Volterra model of a loudspeaker behavior based on Laser Doppler Vibrometry.
CoRR, 2017


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