Publications

Papers - 2024

Michelucci, U., & Venturini, F. (2024). Intepretative Deep Learning using Domain Adaptation for Fluorescence Spectroscopy. arXiv preprint arXiv:2406.10031.

Ghazouali, S. E., Gucciardi, A., & Michelucci, U. (2024). Class-Conditional self-reward mechanism for improved Text-to-Image models. arXiv preprint arXiv:2405.13473.

Michelucci, U., Fundamental Mathematical Concepts for Machine Learning in Science (2024), Springer Nature

El Ghazouali, S., Mhirit, Y., Oukhrid, A., Michelucci, U., & Nouira, H. (2024). FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything. Sensors, 24(9), 2889.

Venturini, F., Fluri, S., Mejari, M., Baumgartner, M., Piga, D., & Michelucci, U. (2024, April). Machine learning-enhanced fluorescence spectroscopy for the quality assessment of extra virgin olive oil during ageing. In SPIE Photonics Europe, Strasbourg, France, 7-11 April 2024.

S.E. Ghazouali, A. Gucciardi, N. Venturi, M. Rueegsegger, U. Michelucci, FlightScope: A Deep Comprehensive Assessment of Aircraft Detection Algorithms in Satellite Imagery, arXiv preprint arXiv:2404.02877.

S.E. Ghazouali, Y. Mhirit, A. Oukhrid, U. Michelucci, H. Nouira, FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything, arXiv preprint arXiv:2403.00175 (accepted for publication in Sensors).

Fabio, L., Piga, D., Umberto, M., & Safouane, E. G. (2024). BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery. arXiv preprint arXiv:2402.13918.

Venturini, F., Fluri, S., Mejari, M., Baumgartner, M., Piga, D., & Michelucci, U. (2024). Shedding light on the ageing of extra virgin olive oil: Probing the impact of temperature with fluorescence spectroscopy and machine learning techniques. LWT, 191, 115679.

Arnaud Gucciardi, Safouane Ghazouali, Francesca Venturini, Vida Groznik, Umberto Michelucci, Symbrain: a large-scale dataset of MRI images for neonatal brain symmetry analysis, arXiv preprint: arXiv:2401.11814.

Papers - 2023

Shedding Light on the Ageing of Extra Virgin Olive Oil: Probing the Impact of Temperature with Fluorescence Spectroscopy and Machine Learning Techniques, F. Venturini, S. Fluri, M. Mejari, M. Baumgartner, D. Piga, U. Michelucci, arXiv preprint arXiv:2309.12377; #foodtechnology

Schmid, C., Laurenzi, E., Michelucci, U., & Venturini, F. (2023, September). Explainable AI for the olive oil industry. In International Conference on Business Informatics Research (pp. 158-171). Cham: Springer Nature Switzerland. #foodtechnology

Michelucci, Umberto, and Francesca Venturini. "New metric formulas that include measurement errors in machine learning for natural sciences." Expert Systems with Applications 224 (2023): 120013. #deeplearning

Michelucci, U., Fluri, S., Baumgartner, M., & Venturini, F. (2023, March). Deep learning super resolution for high-speed excitation emission matrix measurements. In AI and Optical Data Sciences IV (Vol. 12438, pp. 127-137). SPIE. #deeplearning #photonics

Venturini, F., Michelucci, U., Sperti, M., Gucciardi, A., & Deriu, M. A. (2023, March). Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra. In AI and Optical Data Sciences IV (Vol. 12438, pp. 178-184). SPIE. #deeplearning #photonics

Venturini, F., Sperti, M., Michelucci, U., Gucciardi, A., Martos, V. M., & Deriu, M. A. (2023). Dataset of fluorescence spectra and chemical parameters of olive oils. arXiv preprint arXiv:2301.04471. #data #photonics

Venturini, F., Sperti, M., Michelucci, U., Gucciardi, A., Martos, V. M., & Deriu, M. A. (2023). Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks: Application to olive oil. Journal of Food Engineering, 336, 111198. #deeplearning #photonics #foodtechnology

Papers - 2022

Michelucci, U. (2022). On the High Symmetry of Neural Network Functions. arXiv preprint arXiv:2211.06603. #deeplearning

Venturini, F., Michelucci, U., Sperti, M., Gucciardi, A., & Deriu, M. A. (2022, May). One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge: explainability techniques applied to olive oil fluorescence spectra. In Optical Sensing and Detection VII (Vol. 12139, pp. 326-333). SPIE. #deeplearning #photonics #foodtechnology

Milleville, K., Thirukokaranam Chandrasekar, K. K., Blyau, T., Iannello, A., Michelucci, U., & Verstockt, S. (2022). Extraction and classification of historical stamp cards using computer vision. In DH Benelux 2022-ReMIX: Creation and alteration in DH (hybrid). #deeplearning #documents

Michelucci, U. (2022). Applied Deep Learning with TensorFlow 2 (Book). Springer Nature/Apress. #deeplearning

Arnaud, G., Michelucci, U., Venturini, F., Sperti, M., & Deriu, M. A. (2022, March). Compact optical fluorescence sensor for food quality control using artificial neural networks: application to olive oil. In Optical Sensing and Detection VII (Vol. 12139). SPIE. #edge #deeplearning #photonics #foodtechnology

Sperti, M., Gucciardi, A., Michelucci, U., Venturini, F., & Deriu, M. A. (2022, March). Chemical analysis of olive oils from fluorescence spectra thanks to one-dimensional convolutional neural networks. In Optical Sensing and Detection VII (Vol. 12139). SPIE. #deeplearning #photonics #foodtechnology

Michelucci, U. (2022). An introduction to autoencoders. arXiv preprint arXiv:2201.03898. #deeplearning

Arnaud Gucciardi, Monica Crotti, Nofar Ben Itzhak, Lisa Mailleux, Els Ortibus, Umberto Michelucci, Vida Groznik, Aleksander Sadikov, A new median filter application to deal with large windows of missing data in eye-gaze measurements, CEUR 2022 Workshop #statistics #medicine

Monica Crotti, Nofar Ben Itzhak, Lisa Mailleux, Umberto Michelucci, Els Ortibus, Neural correlates of visuomotor functions in preterm children: a literature review focused on unilateral Cerebral Palsy, CEUR 2022 Workshop #statistics #medicine

Umberto Michelucci, Generative Adversarial Networks (GANs) - A Gentle Introduction, Lecture at ETH University (Link)

Papers before 2022

Papers before 2021 can be found on our google scholar pages.

Dr. Umberto Michelucci - Google Scholar

Prof. Dr. Francesca Venturini - Google Scholar

Dr. Safouane El Ghazouali - Google Scholar