Filippo Maria Bianchi
Filippo Maria Bianchi
UiT the Arctic University of Norway - Dept. of Mathematics and Statistics
Verified email at - Homepage
Cited by
Cited by
Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis
FM Bianchi, E Maiorino, MC Kampffmeyer, A Rizzi, R Jenssen
Springer, 2017
Short-term electric load forecasting using echo state networks and PCA decomposition
FM Bianchi, E De Santis, A Rizzi, A Sadeghian
Ieee Access 3, 1931-1943, 2015
Prediction of telephone calls load using echo state network with exogenous variables
FM Bianchi, S Scardapane, A Uncini, A Rizzi, A Sadeghian
Neural Networks 71, 204-213, 2015
Graph neural networks with convolutional arma filters
FM Bianchi, D Grattarola, L Livi, C Alippi
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Time series cluster kernel for learning similarities between multivariate time series with missing data
KØ Mikalsen, FM Bianchi, C Soguero-Ruiz, R Jenssen
Pattern Recognition 76, 569-581, 2018
Investigating echo-state networks dynamics by means of recurrence analysis
FM Bianchi, L Livi, C Alippi
IEEE transactions on neural networks and learning systems 29 (2), 427-439, 2016
Spectral clustering with graph neural networks for graph pooling
FM Bianchi, D Grattarola, C Alippi
Proceedings of the 37th International Conference on Machine Learning (ICML), 2020
Determination of the edge of criticality in echo state networks through Fisher information maximization
L Livi, FM Bianchi, C Alippi
IEEE transactions on neural networks and learning systems 29 (3), 706-717, 2017
A Granular Computing approach to the design of optimized graph classification systems
FM Bianchi, L Livi, A Rizzi, A Sadeghian
Soft Computing, 1-20, 2013
Training echo state networks with regularization through dimensionality reduction
S Løkse, FM Bianchi, R Jenssen
Cognitive Computation 9 (3), 364-378, 2017
Identifying user habits through data mining on call data records
FM Bianchi, A Rizzi, A Sadeghian, C Moiso
Engineering Applications of Artificial Intelligence 54, 49-61, 2016
Local short term electricity load forecasting: Automatic approaches
TH Dang-Ha, FM Bianchi, R Olsson
2017 International Joint Conference on Neural Networks (IJCNN), 4267-4274, 2017
Reservoir computing approaches for representation and classification of multivariate time series
FM Bianchi, S Scardapane, S Løkse, R Jenssen
IEEE transactions on neural networks and learning systems, 2018
Learning representations of multivariate time series with missing data
FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen
Pattern Recognition 96, 106973, 2019
Multiplex visibility graphs to investigate recurrent neural network dynamics
FM Bianchi, L Livi, C Alippi, R Jenssen
Scientific reports 7 (1), 1-13, 2017
Two density-based k-means initialization algorithms for non-metric data clustering
FM Bianchi, L Livi, A Rizzi
Pattern Analysis and Applications 19 (3), 745-763, 2016
Unsupervised image regression for heterogeneous change detection
LT Luppino, FM Bianchi, G Moser, SN Anfinsen
Transactions on Geoscience and Remote Sensing 12 (57), 9960 - 9975, 2019
A clustering approach to heterogeneous change detection
LT Luppino, SN Anfinsen, G Moser, R Jenssen, FM Bianchi, S Serpico, ...
Scandinavian Conference on Image Analysis, 181-192, 2017
Deep kernelized autoencoders
M Kampffmeyer, S Løkse, FM Bianchi, R Jenssen, L Livi
Scandinavian conference on image analysis, 419-430, 2017
Data-driven detrending of nonstationary fractal time series with echo state networks
E Maiorino, FM Bianchi, L Livi, A Rizzi, A Sadeghian
Information Sciences 382, 359-373, 2017
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