Alessio Mascolini

Biochemistry, Genetics and Molecular Biology · Life Sciences

4h-index40citations14works1.32yr avg
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Research Topics

Cell Image Analysis Techniques(5), Anomaly Detection Techniques and Applications(4), COVID-19 diagnosis using AI(3), Neural Networks and Applications(2), EEG and Brain-Computer Interfaces(2)

Publications14 total

Generative modelling for improved decision making in data-limited applications
Open MIND·2025Open Access
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge
2024· 1 citedOpen Access
An AI-Enabled Framework for Smart Semiconductor Manufacturing
2024· 3 cited
Robotic Arm Dataset (RoAD): A Dataset to Support the Design and Test of Machine Learning-Driven Anomaly Detection in a Production Line
2023· 5 cited
Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper
2023· 5 cited
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0
arXiv (Cornell University)·2023Open Access
High Resolution Explanation Maps for CNNs using Segmentation Networks
2022Open Access
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations
BMC Bioinformatics·2022· 18 citedOpen Access
Non-linear optimized spatial filter for single-trial identification of movement related cortical potential
Journal of Applied Biomedicine·2022· 5 cited
Exploiting Generative Self-Supervised Learning For The Assessment of Biological Images With Lack of Annotations: A COVID-19 Case-Study
Research Square (Research Square)·2021Open Access
A Bayesian approach to Expert Gate Incremental Learning
2021· 1 citedOpen Access
Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations: a COVID-19 case-study
arXiv (Cornell University)·2021Open Access
A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images
Smart innovation, systems and technologies·2020· 2 cited
Non Linear Optimised Spatial Filter for Single-Trial Motor Related Cortical Potential Identification
2019

Frequent Co-authors

Francesco Ponzio(11), Santa Di Cataldo(11), Enrico Macii(7), Elisa Ficarra(6), Sebastiano Gaiardelli(5), Nicola Dall’Ora(5), Sara Vinco(5), Franco Fummi(4), Dario Cardamone(3), Luigi Capogrosso(2), Federico Girella(2), Geri Skenderi(2), Enrico Fraccaroli(2), Marco Cristani(2), Imran Khan Niazi(1), Luca Mesin(1), Khaled Sidahmed Sidahmed Alamin(1), D. Appello(1), Alessandro Beghi(1), Fabio Depaoli(1)