Ivan Marisca,
Cesare Alippi,
Filippo Maria Bianchi
:
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
Proceedings of Machine Learning Research (PMLR) 2024
ARKIV /
DOI
Karoline Ingebrigtsen,
Filippo Maria Bianchi,
Sigurd Bakkejord,
Inga Setså Holmstrand,
Matteo Chiesa
:
Identifying conditions leading to power quality events in Arctic Norway: Feature selection
Michele Guerra,
Indro Spinelli,
Simone Scardapane,
Filippo Maria Bianchi
:
Explainability in subgraphs-enhanced Graph Neural Networks
Proceedings of the Northern Lights Deep Learning Workshop 23. Jan 2023
ARKIV /
DOI
Jonas Berg Hansen,
Filippo Maria Bianchi
:
Total Variation Graph Neural Networks
Filippo Maria Bianchi
:
Simplifying Clustering with Graph Neural Networks
Proceedings of the Northern Lights Deep Learning Workshop 23. Jan 2023
FULLTEKST /
ARKIV /
DOI
Andrea Cini,
Ivan Marisca,
Filippo Maria Bianchi,
Cesare Alippi
:
Scalable Spatiotemporal Graph Neural Networks
Proceedings of the AAAI Conference on Artificial Intelligence 2023
FULLTEKST /
ARKIV /
DOI
Odin Foldvik Eikeland,
Colin C. Kelsall,
Kyle Buznitsky,
Shomik Verma,
Filippo Maria Bianchi,
Matteo Chiesa
et al.:
Power availability of PV plus thermal batteries in real-world electric power grids
Filippo Maria Bianchi,
Veronica Lachi
:
The expressive power of pooling in Graph Neural Networks
Michele Guerra,
Simone Scardapane,
Filippo Maria Bianchi
:
Probabilistic Load Forecasting With Reservoir Computing
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
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
Energy Conversion and Management: X 2022
ARKIV /
DOI
Jonas Berg Hansen,
Stian Normann Anfinsen,
Filippo Maria Bianchi
:
Power Flow Balancing With Decentralized Graph Neural Networks
IEEE Transactions on Power Systems 01. Aug 2022
ARKIV /
DOI
Iver Martinsen,
Alf Harbitz,
Filippo Maria Bianchi
:
Age prediction by deep learning applied to Greenland halibut (Reinhardtius hippoglossoides) otolith images
Daniele Grattarola,
Daniele Zambon,
Filippo Maria Bianchi,
Cesare Alippi
:
Understanding Pooling in Graph Neural Networks
IEEE Transactions on Neural Networks and Learning Systems 21. Jul 2022
ARKIV /
DOI
Jakob Grahn,
Filippo Maria Bianchi
:
Recognition of Polar Lows in Sentinel-1 SAR Images With Deep Learning
IEEE Transactions on Geoscience and Remote Sensing 06. Sep 2022
ARKIV /
DOI
Vilde Jensen,
Filippo Maria Bianchi,
Stian Normann Anfinsen
:
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting
IEEE Transactions on Neural Networks and Learning Systems 2022
ARKIV /
DOI
Luigi Tommaso Luppino,
Mads Adrian Hansen,
Michael Kampffmeyer,
Filippo Maria Bianchi,
Gabriele Moser,
Robert Jenssen
et al.:
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
IEEE Transactions on Neural Networks and Learning Systems 12. May 2022
DOI
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
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
IEEE conference proceedings 2021
DOI
Filippo Maria Bianchi,
Claudio Gallicchio,
Alessio Micheli
:
Pyramidal Reservoir Graph Neural Network
Odin Foldvik Eikeland,
Inga Setså Holmstrand,
Sigurd Bakkejord,
Matteo Chiesa,
Filippo Maria Bianchi
:
Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning
Filippo Maria Bianchi,
Daniele Grattarola,
Lorenzo Livi,
Cesare Alippi
:
Graph Neural Networks With Convolutional ARMA Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence 26. Jan 2021
DOI
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
Luigi Tommaso Luppino,
Michael Kampffmeyer,
Filippo Maria Bianchi,
Gabriele Moser,
Sebastiano Bruno Serpico,
Robert Jenssen
et al.:
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
IEEE Transactions on Geoscience and Remote Sensing 2021
ARKIV /
DOI
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,
Simone Scardapane,
Sigurd Løkse,
Robert Jenssen
:
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series
IEEE Transactions on Neural Networks and Learning Systems 2021
ARKIV /
DOI
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
International Journal of Environmental Research and Public Health (IJERPH) 2021
ARKIV /
DOI
Filippo Maria Bianchi,
Daniele Grattarola,
Cesare Alippi
:
Spectral Clustering with Graph Neural Networks for Graph Pooling
Proceedings of Machine Learning Research (PMLR) 2020
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
Proceedings of the Northern Lights Deep Learning Workshop 2020
ARKIV /
DOI
Filippo Maria Bianchi,
Jakob Grahn,
Markus Eckerstorfer,
Eirik Malnes,
Hannah Vickers
:
Snow avalanche segmentation in SAR images with Fully Convolutional Neural Networks
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020
DOI
Kristoffer Rypdal,
Filippo Maria Bianchi,
Martin Rypdal
:
Intervention Fatigue is the Primary Cause of Strong Secondary Waves in the COVID-19 Pandemic
International Journal of Environmental Research and Public Health (IJERPH) 2020
DOI
Filippo Maria Bianchi,
Daniele Grattarola,
Lorenzo Livi,
Cesare Alippi
:
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling
IEEE Transactions on Neural Networks and Learning Systems 2020
ARKIV /
DOI
Michael C. Kampffmeyer,
Sigurd Løkse,
Filippo Maria Bianchi,
Lorenzo Livi,
Arnt Børre Salberg,
Robert Jenssen
:
Deep divergence-based approach to clustering
Karl Øyvind Mikalsen,
Cristina Soguero-Ruiz,
Filippo Maria Bianchi,
Robert Jenssen
:
Noisy multi-label semi-supervised dimensionality reduction
Luigi Tommaso Luppino,
Filippo Maria Bianchi,
Gabriele Moser,
Stian Normann Anfinsen
:
Unsupervised Image Regression for Heterogeneous Change Detection
IEEE Transactions on Geoscience and Remote Sensing 14. Aug 2019
ARKIV /
FULLTEKST /
DOI
Filippo Maria Bianchi,
Lorenzo Livi,
Karl Øyvind Mikalsen,
Michael C. Kampffmeyer,
Robert Jenssen
:
Learning representations of multivariate time series with missing data
Alessandro Cinti,
Filippo Maria Bianchi,
Alessio Martino,
Antonello Rizzi
:
A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation
Ralph Kube,
Filippo Maria Bianchi,
Dan Brunner,
Brian LaBombard
:
Outlier classification using autoencoders: Application for fluctuation driven flows in fusion plasmas
Review of Scientific Instruments 2019
ARKIV /
DOI
Filippo Maria Bianchi
:
Learning representations of multivariate time series with missing data
Pattern Recognition 2019
DOI
Davide Bacciu,
Filippo Maria Bianchi,
Benjamin Paassen,
Cesare Alippi
:
Deep learning for graphs
2018
Michael C. Kampffmeyer,
Sigurd Løkse,
Filippo Maria Bianchi,
Robert Jenssen,
Lorenzo Livi
:
The deep kernelized autoencoder
Filippo Maria Bianchi,
Karl Øyvind Mikalsen,
Robert Jenssen
:
Learning compressed representations of blood samples time series with missing data
Luigi Tommaso Luppino,
Filippo Maria Bianchi,
Gabriele Moser,
Stian Normann Anfinsen
:
Remote sensing image regression for heterogeneous change detection