419 citations · 832 across the 30 of their papers we have counts for
35 papers
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data
Raffaele Marchesi, Nicolo Micheletti, Giuseppe Jurman +1
Several approaches have been developed to mitigate algorithmic bias stemming from health data poverty, where minority groups are underrepresented in training datasets. Augmenting t…
MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive
Gabriele Franch, Giuseppe Jurman, Luca Coviello +2
The use of analogs - similar weather patterns - for weather forecasting and analysis is an established method in meteorology. The most challenging aspect of using this approach in…
In-field grape berries counting for yield estimation using dilated CNNs
L. Coviello, M. Cristoforetti, G. Jurman +1
Digital technologies ignited a revolution in the agrifood domain known as precision agriculture: a main question for enabling precision agriculture at scale is if accurate product…
High Resolution Forecasting of Heat Waves impacts on Leaf Area Index by Multiscale Multitemporal Deep Learning
Andrea Gobbi, Marco Cristoforetti, Giuseppe Jurman +1
Climate change impacts could cause progressive decrease of crop quality and yield, up to harvest failures. In particular, heat waves and other climate extremes can lead to localize…
AI slipping on tiles: data leakage in digital pathology
Nicole Bussola, Alessia Marcolini, Valerio Maggio +2
Reproducibility of AI models on biomedical data still stays as a major concern for their acceptance into the clinical practice. Initiatives for reproducibility in the development o…
Multilayer flows in molecular networks identify biological modules in the human proteome
Giuseppe Mangioni, Giuseppe Jurman, Manlio De Domenico
A variety of complex systems exhibit different types of relationships simultaneously that can be modeled by multiplex networks. A typical problem is to determine the community stru…