Filippo Maria Bianchi

127 papers A* 7B 12C 1Journal 93Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BN-Pool: Bayesian Nonparametric Pooling for Graphs. Trans. Mach. Learn. Res. Daniele Castellana, Filippo Maria Bianchi
2026	J	`jnl`	Promptable Foundation Models for SAR Remote Sensing: Adapting the Segment Anything Model for Snow Avalanche Segmentation. CoRR Riccardo Gelato, Carlo Sgaravatti, Jakob Grahn, Giacomo Boracchi, Filippo Maria Bianchi
2025	J	`jnl`	BN-Pool: a Bayesian Nonparametric Approach to Graph Pooling. CoRR Daniele Castellana, Filippo Maria Bianchi
2025	A*	`conf`	MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks. ICLR Carlo Abate, Filippo Maria Bianchi
2025	J	`jnl`	Monitoring snow avalanches from SAR data with deep learning. CoRR Filippo Maria Bianchi, Jakob Grahn
2025	J	`jnl`	On Time Series Clustering with Graph Neural Networks. Trans. Mach. Learn. Res. Jonas Berg Hansen, Andrea Cini, Filippo Maria Bianchi
2025	A*	`conf`	Relational Conformal Prediction for Correlated Time Series. ICML Andrea Cini, Alexander Jenkins, Danilo P. Mandic, Cesare Alippi, Filippo Maria Bianchi
2025	J	`jnl`	Relational Conformal Prediction for Correlated Time Series. CoRR Andrea Cini, Alexander Jenkins, Danilo P. Mandic, Cesare Alippi, Filippo Maria Bianchi
2025	J	`jnl`	ResCP: Reservoir Conformal Prediction for Time Series Forecasting. CoRR Roberto Neglia, Andrea Cini, Michael M. Bronstein, Filippo Maria Bianchi
2025	J	`jnl`	Torch Geometric Pool: the Pytorch library for pooling in Graph Neural Networks. CoRR Filippo Maria Bianchi, Carlo Abate, Ivan Marisca
2024	J	`jnl`	Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. IEEE Trans. Neural Networks Learn. Syst. Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen
2024	J	`jnl`	Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. Vilde Jensen, Filippo Maria Bianchi, Stian Normann Anfinsen
2024	A*	`conf`	Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. ICML Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi
2024	J	`jnl`	Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling. CoRR Ivan Marisca, Cesare Alippi, Filippo Maria Bianchi
2024	J	`jnl`	Interpreting Temporal Graph Neural Networks with Koopman Theory. CoRR Michele Guerra, Simone Scardapane, Filippo Maria Bianchi
2024	J	`jnl`	MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks. CoRR Carlo Abate, Filippo Maria Bianchi
2024	J	`jnl`	Understanding Pooling in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
2023	B	`conf`	Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. ESANN Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane
2023	J	`jnl`	Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability. CoRR Indro Spinelli, Michele Guerra, Filippo Maria Bianchi, Simone Scardapane
2023	—	`conf`	Explainability in subgraphs-enhanced Graph Neural Networks. NLDL Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi
2023	J	`jnl`	Probabilistic Load Forecasting With Reservoir Computing. IEEE Access Michele Guerra, Simone Scardapane, Filippo Maria Bianchi
2023	J	`jnl`	Probabilistic load forecasting with Reservoir Computing. CoRR Michele Guerra, Simone Scardapane, Filippo Maria Bianchi
2023	A*	`conf`	Scalable Spatiotemporal Graph Neural Networks. AAAI Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
2023	—	`conf`	Simplifying Clustering with Graph Neural Networks. NLDL Filippo Maria Bianchi
2023	A*	`conf`	The expressive power of pooling in Graph Neural Networks. NeurIPS Filippo Maria Bianchi, Veronica Lachi
2023	J	`jnl`	The expressive power of pooling in Graph Neural Networks. CoRR Filippo Maria Bianchi, Veronica Lachi
2023	A*	`conf`	Total Variation Graph Neural Networks. ICML Jonas Berg Hansen, Filippo Maria Bianchi
2022	J	`jnl`	Clustering with Total Variation Graph Neural Networks. CoRR Jonas Berg Hansen, Filippo Maria Bianchi
2022	J	`jnl`	Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. IEEE Trans. Geosci. Remote. Sens. Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
2022	J	`jnl`	Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting. CoRR Vilde Jensen, Filippo Maria Bianchi, Stian Normann Anfinsen
2022	J	`jnl`	Explainability in subgraphs-enhanced Graph Neural Networks. CoRR Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi
2022	J	`jnl`	Graph Neural Networks With Convolutional ARMA Filters. IEEE Trans. Pattern Anal. Mach. Intell. Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2022	J	`jnl`	Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling. IEEE Trans. Neural Networks Learn. Syst. Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2022	J	`jnl`	Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case. CoRR Odin Foldvik Eikeland, Finn Dag Hovem, Tom Eirik Olsen, Matteo Chiesa, Filippo Maria Bianchi
2022	J	`jnl`	Pyramidal Reservoir Graph Neural Network. Neurocomputing Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
2022	J	`jnl`	Recognition of Polar Lows in Sentinel-1 SAR Images With Deep Learning. IEEE Trans. Geosci. Remote. Sens. Jakob Grahn, Filippo Maria Bianchi
2022	J	`jnl`	Recognition of polar lows in Sentinel-1 SAR images with deep learning. CoRR Jakob Grahn, Filippo Maria Bianchi
2022	J	`jnl`	Scalable Spatiotemporal Graph Neural Networks. CoRR Andrea Cini, Ivan Marisca, Filippo Maria Bianchi, Cesare Alippi
2022	J	`jnl`	Simplifying Clustering with Graph Neural Networks. CoRR Filippo Maria Bianchi
2021	B	`conf`	Deep learning for graphs. ESANN Davide Bacciu, Filippo Maria Bianchi, Benjamin Paassen, Cesare Alippi
2021	J	`jnl`	Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning. IEEE Access Odin Foldvik Eikeland, Inga Setså Holmstrand, Sigurd Bakkejord, Matteo Chiesa, Filippo Maria Bianchi
2021	J	`jnl`	Detecting and interpreting faults in vulnerable power grids with machine learning. CoRR Odin Foldvik Eikeland, Inga Setså Holmstrand, Sigurd Bakkejord, Matteo Chiesa, Filippo Maria Bianchi
2021	—	`conf`	Detecting the Linear and Non-linear Causal Links for Disturbances in the Power Grid. INTAP Odin Foldvik Eikeland, Filippo Maria Bianchi, Inga Setså Holmstrand, Sigurd Bakkejord, Matteo Chiesa
2021	J	`jnl`	Power Flow Balancing with Decentralized Graph Neural Networks. CoRR Jonas Berg Hansen, Stian Normann Anfinsen, Filippo Maria Bianchi
2021	J	`jnl`	Pyramidal Reservoir Graph Neural Network. CoRR Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
2021	J	`jnl`	Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series. IEEE Trans. Neural Networks Learn. Syst. Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2021	J	`jnl`	Snow Avalanche Segmentation in SAR Images With Fully Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Filippo Maria Bianchi, Jakob Grahn, Markus Eckerstorfer, Eirik Malnes, Hannah Vickers
2021	J	`jnl`	Time series cluster kernels to exploit informative missingness and incomplete label information. Pattern Recognit. Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
2021	C	`conf`	Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms. ICCE Huamin Ren, Filippo Maria Bianchi, Jingyue Li, Rasmus L. Olsen, Robert Jenssen, Stian Normann Anfinsen
2021	J	`jnl`	Understanding Pooling in Graph Neural Networks. CoRR Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, Cesare Alippi
2020	J	`jnl`	A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation. Cogn. Comput. Alessandro Cinti, Filippo Maria Bianchi, Alessio Martino, Antonello Rizzi
2020	J	`jnl`	Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. CoRR Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen
2020	J	`jnl`	Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. CoRR Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
2020	J	`jnl`	Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning. Remote. Sens. Filippo Maria Bianchi, Martine Mostervik Espeseth, Njål Borch
2020	J	`jnl`	Large-scale detection and categorization of oil spills from SAR images with deep learning. CoRR Filippo Maria Bianchi, Martine Mostervik Espeseth, Njål Borch
2020	J	`jnl`	Non-iterative Learning Approaches and Their Applications. Cogn. Comput. Filippo Maria Bianchi, Ponnuthurai Nagaratnam Suganthan
2020	B	`conf`	Pyramidal Graph Echo State Networks. ESANN Filippo Maria Bianchi, Claudio Gallicchio, Alessio Micheli
2020	A*	`conf`	Spectral Clustering with Graph Neural Networks for Graph Pooling. ICML Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
2019	J	`jnl`	Deep Divergence-Based Approach to Clustering. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2019	J	`jnl`	Deep divergence-based approach to clustering. Neural Networks Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2019	J	`jnl`	Graph Neural Networks with convolutional ARMA filters. CoRR Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	J	`jnl`	Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling. CoRR Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi
2019	J	`jnl`	Learning representations of multivariate time series with missing data. Pattern Recognit. Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2019	J	`jnl`	Mincut pooling in Graph Neural Networks. CoRR Filippo Maria Bianchi, Daniele Grattarola, Cesare Alippi
2019	J	`jnl`	Noisy multi-label semi-supervised dimensionality reduction. CoRR Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
2019	J	`jnl`	Noisy multi-label semi-supervised dimensionality reduction. Pattern Recognit. Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
2019	J	`jnl`	Snow avalanche segmentation in SAR images with Fully Convolutional Neural Networks. CoRR Filippo Maria Bianchi, Jakob Grahn, Markus Eckerstorfer, Eirik Malnes, Hannah Vickers
2019	J	`jnl`	Time series cluster kernels to exploit informative missingness and incomplete label information. CoRR Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
2019	J	`jnl`	Unsupervised Image Regression for Heterogeneous Change Detection. CoRR Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser, Stian Normann Anfinsen
2019	J	`jnl`	Unsupervised Image Regression for Heterogeneous Change Detection. IEEE Trans. Geosci. Remote. Sens. Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser, Stian Normann Anfinsen
2018	J	`jnl`	An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples. CoRR Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
2018	B	`conf`	Bidirectional deep-readout echo state networks. ESANN Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2018	—	`conf`	Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. BHI Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
2018	J	`jnl`	Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization. IEEE Trans. Neural Networks Learn. Syst. Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi
2018	J	`jnl`	Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis. IEEE Trans. Neural Networks Learn. Syst. Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
2018	B	`conf`	Learning compressed representations of blood samples time series with missing data. ESANN Filippo Maria Bianchi, Karl Øyvind Mikalsen, Robert Jenssen
2018	J	`jnl`	Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders. CoRR Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2018	—	`conf`	On the Interpretation and Characterization of Echo State Networks Dynamics: A Complex Systems Perspective. Advances in Data Analysis with Computational Intelligence Methods Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
2018	—	`conf`	Remote Sensing Image Regression for Heterogeneous Change Detection. MLSP Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser, Stian Normann Anfinsen
2018	J	`jnl`	Remote sensing image regression for heterogeneous change detection. CoRR Luigi Tommaso Luppino, Filippo Maria Bianchi, Gabriele Moser, Stian Normann Anfinsen
2018	J	`jnl`	Reservoir computing approaches for representation and classification of multivariate time series. CoRR Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2018	J	`jnl`	The Deep Kernelized Autoencoder. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2018	J	`jnl`	The deep kernelized autoencoder. Appl. Soft Comput. Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2018	B	`conf`	Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs. IJCNN Filippo Maria Bianchi, Lorenzo Livi, Alberto Ferrante, Jelena Milosevic, Miroslaw Malek
2018	J	`jnl`	Time series cluster kernel for learning similarities between multivariate time series with missing data. Pattern Recognit. Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
2018	J	`jnl`	Time series kernel similarities for predicting Paroxysmal Atrial Fibrillation from ECGs. CoRR Filippo Maria Bianchi, Lorenzo Livi, Alberto Ferrante, Jelena Milosevic, Miroslaw Malek
2017	—	`conf`	A Clustering Approach to Heterogeneous Change Detection. SCIA (2) Luigi Tommaso Luppino, Stian Normann Anfinsen, Gabriele Moser, Robert Jenssen, Filippo Maria Bianchi, Sebastiano B. Serpico, Grégoire Mercier
2017	J	`jnl`	A clustering approach to heterogeneous change detection. CoRR Luigi Tommaso Luppino, Stian Normann Anfinsen, Gabriele Moser, Robert Jenssen, Filippo Maria Bianchi, Sebastiano B. Serpico, Grégoire Mercier
2017	J	`jnl`	A novel algorithm for online inexact string matching and its FPGA implementation. CoRR Alessandro Cinti, Filippo Maria Bianchi, Antonello Rizzi
2017	J	`jnl`	Advances in Biologically Inspired Reservoir Computing. Cogn. Comput. Simone Scardapane, John B. Butcher, Filippo Maria Bianchi, Zeeshan Khawar Malik
2017	J	`jnl`	An agent-based algorithm exploiting multiple local dissimilarities for clusters mining and knowledge discovery. Soft Comput. Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2017	J	`jnl`	An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting. CoRR Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen
2017	J	`jnl`	Bidirectional deep echo state networks. CoRR Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2017	J	`jnl`	Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. CoRR Andreas Storvik Strauman, Filippo Maria Bianchi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Cristina Soguero-Ruíz, Robert Jenssen
2017	B	`conf`	Critical echo state network dynamics by means of Fisher information maximization. IJCNN Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi
2017	J	`jnl`	Data-driven detrending of nonstationary fractal time series with echo state networks. Inf. Sci. Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2017	—	`conf`	Deep Kernelized Autoencoders. SCIA (1) Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2017	J	`jnl`	Deep Kernelized Autoencoders. CoRR Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2017	—	`conf`	Deep divergence-based clustering. MLSP Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2017	J	`jnl`	Identifying user habits through data mining on call data records. CoRR Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian, Corrado Moiso
2017	—	`ed.`	Image Analysis - 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12-14, 2017, Proceedings, Part I SCIA (1) Puneet Sharma, Filippo Maria Bianchi
2017	—	`ed.`	Image Analysis - 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12-14, 2017, Proceedings, Part II SCIA (2) Puneet Sharma, Filippo Maria Bianchi
2017	J	`jnl`	Learning compressed representations of blood samples time series with missing data. CoRR Filippo Maria Bianchi, Karl Øyvind Mikalsen, Robert Jenssen
2017	B	`conf`	Local short term electricity load forecasting: Automatic approaches. IJCNN The-Hien Dang-Ha, Filippo Maria Bianchi, Roland Olsson
2017	—	`book`	Recurrent Neural Networks for Short-Term Load Forecasting - An Overview and Comparative Analysis Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen
2017	—	`conf`	Spectral Clustering Using PCKID - A Probabilistic Cluster Kernel for Incomplete Data. SCIA (1) Sigurd Løkse, Filippo Maria Bianchi, Arnt-Børre Salberg, Robert Jenssen
2017	J	`jnl`	Temporal Overdrive Recurrent Neural Network. CoRR Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, Robert Jenssen
2017	B	`conf`	Temporal overdrive recurrent neural network. IJCNN Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, Robert Jenssen
2017	—	`conf`	The time series cluster kernel. MLSP Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
2017	J	`jnl`	Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data. CoRR Karl Øyvind Mikalsen, Filippo Maria Bianchi, Cristina Soguero-Ruíz, Robert Jenssen
2017	J	`jnl`	Training Echo State Networks with Regularization Through Dimensionality Reduction. Cogn. Comput. Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen
2016	J	`jnl`	Determination of the edge of criticality in echo state networks through Fisher information maximization. CoRR Lorenzo Livi, Filippo Maria Bianchi, Cesare Alippi
2016	J	`jnl`	Granular Computing Techniques for Classification and Semantic Characterization of Structured Data. Cogn. Comput. Filippo Maria Bianchi, Simone Scardapane, Antonello Rizzi, Aurelio Uncini, Alireza Sadeghian
2016	J	`jnl`	Identifying user habits through data mining on call data records. Eng. Appl. Artif. Intell. Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian, Corrado Moiso
2016	J	`jnl`	Investigating echo state networks dynamics by means of recurrence analysis. CoRR Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi
2016	J	`jnl`	Multiplex visibility graphs to investigate recurrent neural networks dynamics. CoRR Filippo Maria Bianchi, Lorenzo Livi, Cesare Alippi, Robert Jenssen
2016	J	`jnl`	Training Echo State Networks with Regularization through Dimensionality Reduction. CoRR Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen
2016	J	`jnl`	Two density-based k-means initialization algorithms for non-metric data clustering. Pattern Anal. Appl. Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi
2015	J	`jnl`	Data-driven detrending of nonstationary fractal time series with echo state networks. CoRR Enrico Maiorino, Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2015	J	`jnl`	Position paper: a general framework for applying machine learning techniques in operating room. CoRR Filippo Maria Bianchi, Enrico De Santis, Hedieh Montazeri, Parisa Naraei, Alireza Sadeghian
2015	J	`jnl`	Prediction of telephone calls load using Echo State Network with exogenous variables. Neural Networks Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian
2015	J	`jnl`	Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition. IEEE Access Filippo Maria Bianchi, Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
2014	J	`jnl`	A Granular Computing approach to the design of optimized graph classification systems. Soft Comput. Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2014	J	`jnl`	An Agent-Based Algorithm exploiting Multiple Local Dissimilarities for Clusters Mining and Knowledge Discovery. CoRR Filippo Maria Bianchi, Enrico Maiorino, Lorenzo Livi, Antonello Rizzi, Alireza Sadeghian
2014	B	`conf`	An interpretable graph-based image classifier. IJCNN Filippo Maria Bianchi, Simone Scardapane, Lorenzo Livi, Aurelio Uncini, Antonello Rizzi
2013	B	`conf`	Dissimilarity space embedding of labeled graphs by a clustering-based compression procedure. IJCNN Lorenzo Livi, Filippo Maria Bianchi, Antonello Rizzi, Alireza Sadeghian
2013	B	`conf`	Matching of time-varying labeled graphs. IJCNN Filippo Maria Bianchi, Lorenzo Livi, Antonello Rizzi