Simone Scardapane | Ricerc@Sapienza

Publications

Title	Published on	Year
Engagement Detection with Multi-Task Training in E-Learning Environments	ICIAP 2022: Image Analysis and Processing – ICIAP 2022	2022
Towards Self-Supervised Gaze Estimation	BMVC 2022 - 33rd British Machine Vision Conference Proceedings	2022
Spatiotemporal graph neural network per energy forecasting e anomaly detection	Memorie ET2022	2022
A multimodal deep network for the reconstruction of T2W MR images	Progresses in Artificial Intelligence and Neural Systems	2021
Efficient data augmentation using graph imputation neural networks	Progresses in Artificial Intelligence and Neural Systems	2021
A wide multimodal dense U-net for fast magnetic resonance imaging	European signal processing conference	2021
Distributed training of graph convolutional networks	IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS	2021
Bayesian Neural Networks with Maximum Mean Discrepancy regularization	NEUROCOMPUTING	2021
Flexible generative adversarial networks with non-parametric activation functions	Smart Innovation, Systems and Technologies	2021
A calibrated multiexit neural network for detecting urothelial cancer cells	COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE	2021
MARE: Self-supervised multi-attention REsu-net for semantic segmentation in remote sensing	REMOTE SENSING	2021
Structured ensembles. An approach to reduce the memory footprint of ensemble methods	NEURAL NETWORKS	2021
Avalanche. An end-to-end library for continual learning	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops	2021
Fairdrop. Biased edge dropout for enhancing fairness in graph representation learning	IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE	2021
Music genre classification using stacked auto-encoders	Smart Innovation, Systems and Technologies	2020
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications	INFORMATION SCIENCES	2020
Efficient continual learning in neural networks with embedding regularization	NEUROCOMPUTING	2020
Complex-valued neural networks with nonparametric activation functions	IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE	2020
Differentiable branching in deep networks for fast inference	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings	2020
Why should we add early exits to neural networks?	COGNITIVE COMPUTATION	2020

ERC

PE6_7
PE6_11

KET

Big data & computing

Interessi di ricerca

Keywords

machine learning

deep learning

Graph algorithms

Gruppi di ricerca

ISPAMM - Intelligent Signal Processing and MulitiMedia