477 citations · 1.4k across the 57 of their papers we have counts for
10 papers · 1 filter
EGG-GAE: scalable graph neural networks for tabular data imputation
Lev Telyatnikov, Simone Scardapane
Missing data imputation (MDI) is crucial when dealing with tabular datasets across various domains. Autoencoders can be trained to reconstruct missing values, and graph autoencoder…
Centroids Matching: an efficient Continual Learning approach operating in the embedding space
Jary Pomponi, Simone Scardapane, Aurelio Uncini
Catastrophic forgetting (CF) occurs when a neural network loses the information previously learned while training on a set of samples from a different distribution, i.e., a new tas…
Explainability in subgraphs-enhanced Graph Neural Networks
Michele Guerra, Indro Spinelli, Simone Scardapane +1
Recently, subgraphs-enhanced Graph Neural Networks (SGNNs) have been introduced to enhance the expressive power of Graph Neural Networks (GNNs), which was proved to be not higher t…
Inferring 3D change detection from bitemporal optical images
Valerio Marsocci, Virginia Coletta, Roberta Ravanelli +2
Change detection is one of the most active research areas in Remote Sensing (RS). Most of the recently developed change detection methods are based on deep learning (DL) algorithms…
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
Valerio Marsocci, Simone Scardapane
In the field of Earth Observation (EO), Continual Learning (CL) algorithms have been proposed to deal with large datasets by decomposing them into several subsets and processing th…
Engagement Detection with Multi-Task Training in E-Learning Environments
Onur Copur, Mert Nakıp, Simone Scardapane +1
Recognition of user interaction, in particular engagement detection, became highly crucial for online working and learning environments, especially during the COVID-19 outbreak. Su…