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IEEE Transactions on Neural Networks and Learning Systems|June 20, 2022
Outperforming RBM Feature-Extraction Capabilities by "Dreaming" MechanismAlberto Fachechi, Adriano Barra, Elena Agliari, et al.Neural Networks : the Official Journal of the International Neural Network Society|May 27, 2020
Generalized Guerra's interpolation schemes for dense associative neural networksElena Agliari, Francesco Alemanno, Adriano Barra, et al.Physical Review Letters|February 1, 2020
Neural Networks with a Redundant Representation: Detecting the UndetectableElena Agliari, Francesco Alemanno, Adriano Barra, et al.Neural Networks : the Official Journal of the International Neural Network Society|February 9, 2019
Dreaming neural networks: Forgetting spurious memories and reinforcing pure onesAlberto Fachechi, Elena Agliari, Adriano BarraScientific Reports|September 19, 2020
Analysis of temporal correlation in heart rate variability through maximum entropy principle in a minimal pairwise glassy modelElena Agliari, Francesco Alemanno, Adriano Barra, et al.Neural Networks : the Official Journal of the International Neural Network Society|February 14, 2022
The emergence of a concept in shallow neural networksElena Agliari, Francesco Alemanno, Adriano Barra, et al.Neural Computation|March 21, 2023
From Pavlov Conditioning to Hebb LearningElena Agliari, Miriam Aquaro, Adriano Barra, et al.Physical Review. E|September 19, 2024
Inverse modeling of time-delayed interactions via the dynamic-entropy formalismElena Agliari, Francesco Alemanno, Adriano Barra, et al.Neural Networks : the Official Journal of the International Neural Network Society|February 15, 2024
Hebbian dreaming for small datasetsElena Agliari, Francesco Alemanno, Miriam Aquaro, et al.Scientific Reports|June 3, 2020
Detecting cardiac pathologies via machine learning on heart-rate variability time series and related markersElena Agliari, Adriano Barra, Orazio Antonio Barra, et al.Pageof 7