Filippo Bianchi
Seniorforsker
fibi@norceresearch.no
Tromsø Forskningspark, Sykehusvn 23, 9019 Tromsø
Prosjekter
Publikasjoner
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Vitenskapelig artikkelIdentifying conditions leading to power quality events in Arctic Norway: Feature selection– Applied Energy 2024
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Vitenskapelig artikkelProbabilistic Load Forecasting With Reservoir Computing– IEEE Access 2023
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Vitenskapelig artikkelThe expressive power of pooling in Graph Neural Networks– Advances in Neural Information Processing Systems 2023
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Vitenskapelig artikkelPower availability of PV plus thermal batteries in real-world electric power grids– Applied Energy 2023
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Vitenskapelig artikkelTotal Variation Graph Neural Networks– Proceedings of Machine Learning Research (PMLR) 2023
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Vitenskapelig artikkelExplainability in subgraphs-enhanced Graph Neural Networks– Proceedings of the Northern Lights Deep Learning Workshop 2023
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Vitenskapelig artikkelScalable Spatiotemporal Graph Neural Networks– Proceedings of the AAAI Conference on Artificial Intelligence 2023
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Vitenskapelig artikkelSimplifying Clustering with Graph Neural Networks– Proceedings of the Northern Lights Deep Learning Workshop 2023
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Vitenskapelig artikkelPower Flow Balancing With Decentralized Graph Neural Networks– IEEE Transactions on Power Systems 2022
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Vitenskapelig artikkelUnderstanding Pooling in Graph Neural Networks– IEEE Transactions on Neural Networks and Learning Systems 2022
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Vitenskapelig artikkelRecognition of Polar Lows in Sentinel-1 SAR Images With Deep Learning– IEEE Transactions on Geoscience and Remote Sensing 2022
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Vitenskapelig artikkelEnsemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting– IEEE Transactions on Neural Networks and Learning Systems 2022
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Vitenskapelig artikkelAge prediction by deep learning applied to Greenland halibut (Reinhardtius hippoglossoides) otolith images– PLOS ONE 2022
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Vitenskapelig artikkelProbabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case– Energy Conversion and Management: X 2022
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Vitenskapelig artikkelCode-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images– IEEE Transactions on Neural Networks and Learning Systems 2022
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Vitenskapelig artikkelUncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case– Energies 2022
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Vitenskapelig artikkelDetecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning– IEEE Access 2021
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Vitenskapelig kapittelA Deep Learning Approach for Automated Fault Detection on Solar Modules Using Image Composites– 2021
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Vitenskapelig kapittelTowards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms– 2021
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Vitenskapelig artikkelPyramidal Reservoir Graph Neural Network– Neurocomputing 2021
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Vitenskapelig artikkelEstimation 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
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Vitenskapelig artikkelDeep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection– IEEE Transactions on Geoscience and Remote Sensing 2021
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Vitenskapelig artikkelTime series cluster kernels to exploit informative missingness and incomplete label information– Pattern Recognition 2021
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Vitenskapelig artikkelGraph Neural Networks With Convolutional ARMA Filters– IEEE Transactions on Pattern Analysis and Machine Intelligence 2021
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Vitenskapelig artikkelPredicting Energy Demand in Semi-Remote Arctic Locations– Energies 2021
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Vitenskapelig artikkelReservoir Computing Approaches for Representation and Classification of Multivariate Time Series– IEEE Transactions on Neural Networks and Learning Systems 2021
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Vitenskapelig artikkelSpectral Clustering with Graph Neural Networks for Graph Pooling– Proceedings of Machine Learning Research (PMLR) 2020
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Vitenskapelig artikkelShort-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks– Proceedings of the Northern Lights Deep Learning Workshop 2020
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Vitenskapelig artikkelHierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling– IEEE Transactions on Neural Networks and Learning Systems 2020
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Vitenskapelig artikkelIntervention Fatigue is the Primary Cause of Strong Secondary Waves in the COVID-19 Pandemic– International Journal of Environmental Research and Public Health (IJERPH) 2020
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Vitenskapelig artikkelSnow avalanche segmentation in SAR images with Fully Convolutional Neural Networks– IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020
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Vitenskapelig artikkelLarge-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning– Remote Sensing 2020
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KonferanseforedragCondition Monitoring System for Internal Blowout Prevention (IBOP) in Top Drive Assembly System using Discrete Event Systems and Deep Learning Approaches– PHM Society European Conference 2020
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FagartikkelNon-iterative Learning Approaches and Their Applications– Cognitive Computation 2020
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Vitenskapelig artikkelLearning representations of multivariate time series with missing data– Pattern Recognition 2019
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Vitenskapelig artikkelLearning representations of multivariate time series with missing data– Pattern Recognition 2019
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Vitenskapelig artikkelA Novel Algorithm for Online Inexact String Matching and its FPGA Implementation– Cognitive Computation 2019
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Vitenskapelig artikkelUnsupervised Image Regression for Heterogeneous Change Detection– IEEE Transactions on Geoscience and Remote Sensing 2019
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Vitenskapelig artikkelNoisy multi-label semi-supervised dimensionality reduction– Pattern Recognition 2019
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Vitenskapelig artikkelDeep divergence-based approach to clustering– Neural Networks 2019
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Vitenskapelig artikkelOutlier classification using autoencoders: Application for fluctuation driven flows in fusion plasmas– Review of Scientific Instruments 2019
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Vitenskapelig kapittelDeep learning for graphs– 2018
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Vitenskapelig kapittelPyramidal Graph Echo State Networks– 2018
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Vitenskapelig kapittelRemote sensing image regression for heterogeneous change detection– 2018
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Vitenskapelig artikkelTime Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs– Proceedings of the International Joint Conference on Neural Networks 2018
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Vitenskapelig kapittelBidirectional deep-readout echo state networks– 2018
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Vitenskapelig kapittelLearning compressed representations of blood samples time series with missing data– 2018
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Vitenskapelig kapittelClassification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks– 2018
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KonferanseforedragOutlier classification using Autoencoders: applications for fluctuation driven flows in fusion plasmas– MIT Plasma Science and Fusion Center: Machine Learning seminar 2018
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Vitenskapelig artikkelThe deep kernelized autoencoder– Applied Soft Computing 2018
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Faglig kapittelOn the interpretation and characterization of echo state networks dynamics: A complex systems perspective– 2018
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Vitenskapelig artikkelTime series cluster kernel for learning similarities between multivariate time series with missing data– Pattern Recognition 2017
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Vitenskapelig kapittelThe time series cluster kernel– 2017
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Vitenskapelig kapittelCritical echo state network dynamics by means of Fisher information maximization– 2017
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Vitenskapelig kapittelDeep divergence-based clustering– 2017
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Vitenskapelig kapittelTemporal overdrive recurrent neural network– 2017
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Vitenskapelig monografiRecurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis– Springer 2017
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Vitenskapelig kapittelA clustering approach to heterogeneous change detection– 2017
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Vitenskapelig artikkelLocal short term electricity load forecasting: Automatic approaches– Proceedings of the International Joint Conference on Neural Networks 2017
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Vitenskapelig artikkelDeep kernelized autoencoders– Lecture Notes in Computer Science (LNCS) 2017
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Vitenskapelig artikkelSpectral clustering using PCKID ? A probabilistic cluster kernel for incomplete data– Lecture Notes in Computer Science (LNCS) 2017
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Vitenskapelig artikkelMultiplex visibility graphs to investigate recurrent neural network dynamics– Scientific Reports 2017
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Vitenskapelig artikkelDetermination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization– IEEE Transactions on Neural Networks and Learning Systems 2017
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Vitenskapelig artikkelData-driven detrending of nonstationary fractal time series with echo state networks– Information Sciences 2017
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Vitenskapelig artikkelTraining Echo State Networks with Regularization Through Dimensionality Reduction– Cognitive Computation 2017
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Vitenskapelig artikkelIdentifying user habits through data mining on call data records– Engineering Applications of Artificial Intelligence 2016
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Vitenskapelig artikkelInvestigating Echo-State Networks Dynamics by Means of Recurrence Analysis– IEEE Transactions on Neural Networks and Learning Systems 2016
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KonferanseforedragLearning similarities between irregularly sampled short multivariate time series from EHRs– 3rd International Workshop on Pattern Recognition for Healthcare Analytics at ICPR 2016 2016
