Filippo Maria Bianchi
Filippo Maria Bianchi
UiT the Arctic University of Norway - Dept. of Mathematics and Statistics
Verifisert e-postadresse på - Startside
Sitert av
Sitert av
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
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
Graph neural networks with convolutional arma filters
FM Bianchi, D Grattarola, C Alippi, L Livi
arXiv preprint arXiv:1901.01343, 2019
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
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 (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
Multiplex visibility graphs to investigate recurrent neural network dynamics
FM Bianchi, L Livi, C Alippi, R Jenssen
Scientific reports 7, 44037, 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
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
Learning representations of multivariate time series with missing data
FM Bianchi, L Livi, KØ Mikalsen, M Kampffmeyer, R Jenssen
Pattern Recognition 96, 106973, 2019
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
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks
AS Strauman, FM Bianchi, KØ Mikalsen, M Kampffmeyer, C Soguero-Ruiz, ...
2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018
Granular computing techniques for classification and semantic characterization of structured data
FM Bianchi, S Scardapane, A Rizzi, A Uncini, A Sadeghian
Cognitive Computation 8 (3), 442-461, 2016
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Artikler 1–20