Filippo Maria Bianchi
Filippo Maria Bianchi
Other namesFilippo 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 Briefs in Computer Science, 2017
Graph neural networks with convolutional arma filters
FM Bianchi, D Grattarola, L Livi, C Alippi
IEEE transactions on pattern analysis and machine intelligence 44 (7), 3496-3507, 2021
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
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
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, 2020
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
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
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
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
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
Training echo state networks with regularization through dimensionality reduction
S Løkse, FM Bianchi, R Jenssen
Cognitive Computation 9, 364-378, 2017
Learning representations of multivariate time series with missing data
FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen
Pattern Recognition 96, 106973, 2019
Deep image translation with an affinity-based change prior for unsupervised multimodal change detection
LT Luppino, M Kampffmeyer, FM Bianchi, G Moser, SB Serpico, ...
IEEE Transactions on Geoscience and Remote Sensing 60, 1-22, 2021
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
Deep divergence-based approach to clustering
M Kampffmeyer, S Løkse, FM Bianchi, L Livi, AB Salberg, R Jenssen
Neural Networks 113, 91-101, 2019
Large-scale detection and categorization of oil spills from SAR images with deep learning
FM Bianchi, MM Espeseth, N Borch
Remote Sensing 12 (14), 2260, 2020
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
Intervention fatigue is the primary cause of strong secondary waves in the COVID-19 pandemic
K Rypdal, FM Bianchi, M Rypdal
International Journal of Environmental Research and Public Health, 2020
Code-aligned autoencoders for unsupervised change detection in multimodal remote sensing images
LT Luppino, MA Hansen, M Kampffmeyer, FM Bianchi, G Moser, ...
IEEE Transactions on Neural Networks and Learning Systems, 2022
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