Umberto Michelucci
Orcid: 0000-0002-6060-5365
According to our database1,
Umberto Michelucci authored at least 35 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
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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
CoRR, November, 2025
Barlow-Swin: Toward a novel siamese-based segmentation architecture using Swin-Transformers.
CoRR, September, 2025
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
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
CoRR, 2024
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
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
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
Mach. Learn. Knowl. Extr., 2021
Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques.
CoRR, 2021
Algorithms, 2021
2020
Sensors, 2020
Multi-Task Learning for Multi-Dimensional Regression: Application to Luminescence Sensing.
CoRR, 2020
2019
2017
Novel Semi-Parametric Algorithm for Interference-Immune Tunable Absorption Spectroscopy Gas Sensing.
Sensors, 2017