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Filippo Bianchi

Filippo Bianchi

Researcher

fibi@norceresearch.no
Siva Innovasjonssenter, Sykehusvn 21, 9019 Tromsø

Filippo Bianchi

Division

Energy & Technology

Research Groups

Smart instrumentering og industriell testing

More information about Filippo Bianchi

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Projects
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Publications
Explainability in subgraphs-enhanced Graph Neural Networks – Proceedings of the Northern Lights Deep Learning Workshop 2023
Scalable Spatiotemporal Graph Neural Networks – Proceedings of the AAAI Conference on Artificial Intelligence 2023
Simplifying Clustering with Graph Neural Networks – Proceedings of the Northern Lights Deep Learning Workshop 2023
Power Flow Balancing With Decentralized Graph Neural Networks – IEEE Transactions on Power Systems 2022
Understanding Pooling in Graph Neural Networks – IEEE Transactions on Neural Networks and Learning Systems 2022
Recognition of Polar Lows in Sentinel-1 SAR Images With Deep Learning – IEEE Transactions on Geoscience and Remote Sensing 2022
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting – IEEE Transactions on Neural Networks and Learning Systems 2022
Age prediction by deep learning applied to Greenland halibut (Reinhardtius hippoglossoides) otolith images – PLOS ONE 2022
Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case – Energy Conversion and Management: X 2022
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images – IEEE Transactions on Neural Networks and Learning Systems 2022
Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case – Energies 2022
Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning – IEEE Access 2021
A Deep Learning Approach for Automated Fault Detection on Solar Modules Using Image Composites – 2021
Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms – 2021
Pyramidal Reservoir Graph Neural Network – Neurocomputing 2021
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
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection – IEEE Transactions on Geoscience and Remote Sensing 2021
Time series cluster kernels to exploit informative missingness and incomplete label information – Pattern Recognition 2021
Graph Neural Networks With Convolutional ARMA Filters – IEEE Transactions on Pattern Analysis and Machine Intelligence 2021
Predicting Energy Demand in Semi-Remote Arctic Locations – Energies 2021
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series – IEEE Transactions on Neural Networks and Learning Systems 2021
Spectral Clustering with Graph Neural Networks for Graph Pooling – Proceedings of Machine Learning Research (PMLR) 2020
Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks – Proceedings of the Northern Lights Deep Learning Workshop 2020
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling – IEEE Transactions on Neural Networks and Learning Systems 2020
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
Snow avalanche segmentation in SAR images with Fully Convolutional Neural Networks – IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020
Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning – Remote Sensing 2020
Non-iterative Learning Approaches and Their Applications – Cognitive Computation 2020
Learning representations of multivariate time series with missing data – Pattern Recognition 2019
Learning representations of multivariate time series with missing data – Pattern Recognition 2019
A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation – Cognitive Computation 2019
Unsupervised Image Regression for Heterogeneous Change Detection – IEEE Transactions on Geoscience and Remote Sensing 2019
Noisy multi-label semi-supervised dimensionality reduction – Pattern Recognition 2019
Deep divergence-based approach to clustering – Neural Networks 2019
Outlier classification using autoencoders: Application for fluctuation driven flows in fusion plasmas – Review of Scientific Instruments 2019
Deep learning for graphs – 2018
Pyramidal Graph Echo State Networks – 2018
Remote sensing image regression for heterogeneous change detection – 2018
Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs – Proceedings of the International Joint Conference on Neural Networks 2018
Bidirectional deep-readout echo state networks – 2018
Learning compressed representations of blood samples time series with missing data – 2018
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks – 2018
The deep kernelized autoencoder – Applied Soft Computing 2018
On the interpretation and characterization of echo state networks dynamics: A complex systems perspective – 2018
Time series cluster kernel for learning similarities between multivariate time series with missing data – Pattern Recognition 2017
The time series cluster kernel – 2017
Critical echo state network dynamics by means of Fisher information maximization – 2017
Deep divergence-based clustering – 2017
Temporal overdrive recurrent neural network – 2017
Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis – Springer 2017
A clustering approach to heterogeneous change detection – 2017
Local short term electricity load forecasting: Automatic approaches – Proceedings of the International Joint Conference on Neural Networks 2017
Deep kernelized autoencoders – Lecture Notes in Computer Science (LNCS) 2017
Spectral clustering using PCKID ? A probabilistic cluster kernel for incomplete data – Lecture Notes in Computer Science (LNCS) 2017
Multiplex visibility graphs to investigate recurrent neural network dynamics – Scientific Reports 2017
Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization – IEEE Transactions on Neural Networks and Learning Systems 2017
Data-driven detrending of nonstationary fractal time series with echo state networks – Information Sciences 2017
Training Echo State Networks with Regularization Through Dimensionality Reduction – Cognitive Computation 2017
Identifying user habits through data mining on call data records – Engineering Applications of Artificial Intelligence 2016
Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis – IEEE Transactions on Neural Networks and Learning Systems 2016
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News

News

NORCE-researchers contribute to the mapping of Covid-19 prevalence and changes in Norway