Filippo Maria Bianchi
Stillingsbeskrivelse
My research interests lie at the intersection between machine learning, dynamical systems, and complex networks, and statistics. The main areas where I apply my research are energy analytics and remote sensing.
More info at:
Jonas Berg Hansen,
Andrea Cini,
Filippo Maria Bianchi
:
On Time Series Clustering with Graph Neural Networks
Andrea Cini,
Alexander Jenkins,
Danilo Mandic,
Cesare Alippi,
Filippo Maria Bianchi
:
Relational Conformal Prediction for Correlated Time Series
Carlo Abate,
Filippo Maria Bianchi
:
MaxCutPool: differentiable feature-aware Maxcut for pooling in graph neural networks
Jakob Grahn,
Filippo Maria Bianchi,
Karsten Müller,
Eirik Malnes
:
Data-driven avalanche forecasting using weather and satellite data
International Snow Science Workshops (ISSW) Proceedings 2024 ARKIV
Ivan Marisca,
Cesare Alippi,
Filippo Maria Bianchi
:
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
Karoline Ingebrigtsen,
Filippo Maria Bianchi,
Sigurd Bakkejord,
Inga Setså Holmstrand,
Matteo Chiesa
:
Identifying conditions leading to power quality events in Arctic Norway: Feature selection
Indro Spinelli,
Michele Guerra,
Filippo Maria Bianchi,
Simone Scardapane
:
Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability
Andrea Cini,
Ivan Marisca,
Filippo Maria Bianchi,
Cesare Alippi
:
Scalable Spatiotemporal Graph Neural Networks
Filippo Maria Bianchi
:
Simplifying Clustering with Graph Neural Networks
Filippo Maria Bianchi,
Veronica Lachi
:
The expressive power of pooling in Graph Neural Networks
Odin Foldvik Eikeland,
Colin C. Kelsall,
Kyle Buznitsky,
Shomik Verma,
Filippo Maria Bianchi,
Matteo Chiesa
m.fl.:
Power availability of PV plus thermal batteries in real-world electric power grids
Michele Guerra,
Indro Spinelli,
Simone Scardapane,
Filippo Maria Bianchi
:
Explainability in subgraphs-enhanced Graph Neural Networks
Michele Guerra,
Simone Scardapane,
Filippo Maria Bianchi
:
Probabilistic Load Forecasting With Reservoir Computing
Jonas Berg Hansen,
Filippo Maria Bianchi
:
Total Variation Graph Neural Networks
Proceedings of Machine Learning Research (PMLR) 2023 ARKIV
Jonas Berg Hansen,
Stian Normann Anfinsen,
Filippo Maria Bianchi
:
Power Flow Balancing With Decentralized Graph Neural Networks
Odin Foldvik Eikeland,
Filippo Maria Bianchi,
Inga Setså Holmstrand,
Sigurd Bakkejord,
Sergio Santos Hernandez,
Matteo Chiesa
:
Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case
Luigi Tommaso Luppino,
Mads Adrian Hansen,
Michael Kampffmeyer,
Filippo Maria Bianchi,
Gabriele Moser,
Robert Jenssen
m.fl.:
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
Odin Foldvik Eikeland,
Finn Dag Hovem,
Tom Eirik Olsen,
Matteo Chiesa,
Filippo Maria Bianchi
:
Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case
Daniele Grattarola,
Daniele Zambon,
Filippo Maria Bianchi,
Cesare Alippi
:
Understanding Pooling in Graph Neural Networks
Jakob Grahn,
Filippo Maria Bianchi
:
Recognition of Polar Lows in Sentinel-1 SAR Images With Deep Learning
Vilde Jensen,
Filippo Maria Bianchi,
Stian Normann Anfinsen
:
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting
Iver Martinsen,
Alf Harbitz,
Filippo Maria Bianchi
:
Age prediction by deep learning applied to Greenland halibut (Reinhardtius hippoglossoides) otolith images
Anne Gerd Imenes,
Nadia Saad Noori,
Ole Andreas Nesvåg Uthaug,
Robert Kröni,
Filippo Maria Bianchi,
Nabil Belbachir
:
A Deep Learning Approach for Automated Fault Detection on Solar Modules Using Image Composites
Filippo Maria Bianchi,
Daniele Grattarola,
Lorenzo Livi,
Cesare Alippi
:
Graph Neural Networks With Convolutional ARMA Filters
Karl Øyvind Mikalsen,
Cristina Soguero Ruiz,
Filippo Maria Bianchi,
Arthur Revhaug,
Robert Jenssen
:
Time series cluster kernels to exploit informative missingness and incomplete label information
Filippo Maria Bianchi,
Simone Scardapane,
Sigurd Løkse,
Robert Jenssen
:
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series
Luigi Tommaso Luppino,
Michael Kampffmeyer,
Filippo Maria Bianchi,
Gabriele Moser,
Sebastiano Bruno Serpico,
Robert Jenssen
m.fl.:
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
Odin Foldvik Eikeland,
Inga Setså Holmstrand,
Sigurd Bakkejord,
Matteo Chiesa,
Filippo Maria Bianchi
:
Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning
Huamin Ren,
Filippo Maria Bianchi,
Jingyue Li,
Rasmus L. Olsen,
Robert Jenssen,
Stian Normann Anfinsen
:
Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms
Martin Wibe Rypdal,
Kristoffer Rypdal,
Ola Løvsletten,
Sigrunn Holbek Sørbye,
Elinor Ytterstad,
Filippo Maria Bianchi
:
Estimation of Excess Mortality and Years of Life Lost to COVID-19 in Norway and Sweden between March and November 2020
Filippo Maria Bianchi,
Claudio Gallicchio,
Alessio Micheli
:
Pyramidal Reservoir Graph Neural Network
Odin Foldvik Eikeland,
Filippo Maria Bianchi,
Matteo Chiesa,
Harry Apostoleris,
Morten Hansen,
Yu-Cheng Chiou
:
Predicting Energy Demand in Semi-Remote Arctic Locations
Filippo Maria Bianchi,
Daniele Grattarola,
Cesare Alippi
:
Spectral Clustering with Graph Neural Networks for Graph Pooling
Proceedings of Machine Learning Research (PMLR) 2020 ARKIV
Filippo Maria Bianchi,
Daniele Grattarola,
Lorenzo Livi,
Cesare Alippi
:
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling
Filippo Maria Bianchi,
Jakob Grahn,
Markus Eckerstorfer,
Eirik Malnes,
Hannah Vickers
:
Snow avalanche segmentation in SAR images with Fully Convolutional Neural Networks
Kristoffer Rypdal,
Filippo Maria Bianchi,
Martin Rypdal
:
Intervention Fatigue is the Primary Cause of Strong Secondary Waves in the COVID-19 Pandemic
Filippo Maria Bianchi,
Martine Espeseth,
Njål Trygve Borch
:
Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning
Changkyu Choi,
Filippo Maria Bianchi,
Michael Kampffmeyer,
Robert Jenssen
:
Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks
Alessandro Cinti,
Filippo Maria Bianchi,
Alessio Martino,
Antonello Rizzi
:
A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation
Filippo Maria Bianchi
:
Learning representations of multivariate time series with missing data
Karl Øyvind Mikalsen,
Cristina Soguero-Ruiz,
Filippo Maria Bianchi,
Robert Jenssen
:
Noisy multi-label semi-supervised dimensionality reduction
Michael C. Kampffmeyer,
Sigurd Løkse,
Filippo Maria Bianchi,
Lorenzo Livi,
Arnt Børre Salberg,
Robert Jenssen
:
Deep divergence-based approach to clustering
Filippo Maria Bianchi,
Eirik Malnes
:
A Bird's Eye View on Snow Avalanches
2025 ARKIV
Filippo Maria Bianchi
:
Pooling in Graph Neural Networks
Benjamin Ricaud,
Filippo Maria Bianchi
:
Learning on Graphs (LoG) meetup in Tromsø
2023 ARKIV
Benjamin Ricaud,
Volodymyr Miz,
Filippo Maria Bianchi,
Nicolas Aspert
:
Introduction to Graph Machine Learning
2022 ARKIV
Anne Gerd Imenes,
Nadia Saad Noori,
Ole Andreas Nesvåg Uthaug,
Robert Kröni,
Filippo Maria Bianchi,
Nabil Belbachir
:
A Deep Learning Approach for Automated Fault Detection on Solar Modules Using Image Composites
Changkyu Choi,
Filippo Maria Bianchi,
Michael Kampffmeyer,
Robert Jenssen
:
Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks
Filippo Maria Bianchi,
Ponnuthurai Nagaratnam Suganthan
:
Non-iterative Learning Approaches and Their Applications
Nadia Saad Noori,
Tor Inge Waag,
Filippo Maria Bianchi
:
Condition Monitoring System for Internal Blowout Prevention (IBOP) in Top Drive Assembly System using Discrete Event Systems and Deep Learning Approaches
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Forskningsinteresser
Machine learning; Graph theory; Time series analysis