Aurelio Uncini

Pubblicazioni

Titolo Pubblicato in Anno
A wide multimodal dense U-net for fast magnetic resonance imaging European Signal Processing Conference 2021
Bayesian Neural Networks with Maximum Mean Discrepancy regularization NEUROCOMPUTING 2021
Deep Belief Network based audio classification for construction sites monitoring EXPERT SYSTEMS WITH APPLICATIONS 2021
Flexible generative adversarial networks with non-parametric activation functions Smart Innovation, Systems and Technologies 2021
A quaternion-valued variational autoencoder ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2021
L3DAS21 challenge: machine learning for 3D audio signal processing IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2021
An information-theoretic perspective on proper quaternion variational autoencoders ENTROPY 2021
Structured ensembles. An approach to reduce the memory footprint of ensemble methods NEURAL NETWORKS 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
Advanced sound classifiers and performance analyses for accurate audio-based construction project monitoring JOURNAL OF COMPUTING IN CIVIL ENGINEERING 2020
A CNN approach for audio classification in construction sites Progresses in Artificial Intelligence and Neural Systems 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
Adaptive propagation graph convolutional network IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2020
Missing data imputation with adversarially-trained graph convolutional networks NEURAL NETWORKS 2020
Compressing deep-quaternion neural networks with targeted regularisation CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY 2020

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