Filippo Maria Bianchi Homepage
I am an Associate Professor at the Department of Mathematics and Statistics at UiT the Arctic University of Norway.
My research interests lie at the intersection between machine learning, dynamical systems and complex networks.
The areas where I apply my research are mostly focused on energy analytics and remote sensing.
Main Research Interests
Echo State Networks - theoretical studies on internal dynamics; design of novel training methods; applications in prediction and system identification.
Recurrent Neural Networks - design of new architectures; application to load forecast and time series classification.
Autoencoders - learning representations with kernel methods; handling missing data; multivariate time series encoding.
Graph Neural Networks - design of convolutional filters and pooling operators.
Time Series Analysis - identification of underlying system dynamics; state space reconstruction; prediction.
Graph Matching - representation of unstructured data with graphs; application to granular computing techniques; image classification.
Clustering - density-based clustering on unstructured data; agent-based clustering; multi-metric learning to cluster characterization.
Computer vision - segmentation, classification, and change detection in remote sensing images