Umberto Michelucci

Orcid: 0000-0002-6060-5365

According to our database1, Umberto Michelucci authored at least 35 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
SyMTRS: Benchmark Multi-Task Synthetic Dataset for Depth, Domain Adaptation and Super-Resolution in Aerial Imagery.
CoRR, April, 2026

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

CLiMB: A Domain-Informed Novelty Detection Clustering Framework for Scientific Discovery.
CoRR, January, 2026

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

CLiMB: A domain-informed novelty detection clustering framework for galactic archaeology and scientific discovery.
Astron. Comput., 2026

2025
Comparison of different segmentation algorithms on brain volume and fractal dimension in infant brain MRIs.
CoRR, December, 2025

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

Barlow-Swin: Toward a novel siamese-based segmentation architecture using Swin-Transformers.
CoRR, September, 2025

VisioFirm: Cross-Platform AI-assisted Annotation Tool for Computer Vision.
CoRR, September, 2025

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

2024
FusionVision: A Comprehensive Approach of 3D Object Reconstruction and Segmentation from RGB-D Cameras Using YOLO and Fast Segment Anything.
Sensors, May, 2024

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

CSIM: A Copula-based similarity index sensitive to local changes for Image quality assessment.
CoRR, 2024

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

Class-Conditional self-reward mechanism for improved Text-to-Image models.
CoRR, 2024

FlightScope: A Deep Comprehensive Assessment of Aircraft Detection Algorithms in Satellite Imagery.
CoRR, 2024

BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery.
CoRR, 2024

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

Fundamental Mathematical Concepts for Machine Learning in Science
Springer, ISBN: 978-3-031-56430-7, 2024

2023
New metric formulas that include measurement errors in machine learning for natural sciences.
Expert Syst. Appl., August, 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
On the High Symmetry of Neural Network Functions.
CoRR, 2022

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

An Introduction to Autoencoders.
CoRR, 2022

A new median filter application to deal with large windows of missing data in eye-gaze measurements.
Proceedings of the International Workshop in Neurodevelopmental Impairments in Preterm Children, 2022

2021
Optical oxygen and temperature sensing with multi-task learning.
PhD thesis, 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

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


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