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Associate Professor

Bianchi, Filippo Maria

Department of Mathematics and Statistics
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  • Luppino, Luigi Tommaso; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Serpico, Sebastian Bruno; Jenssen, Robert; Anfinsen, Stian Normann. Deep image translation with an affinity-based change prior for unsupervised multimodal change detection. IEEE Transactions on Geoscience and Remote Sensing 2021. ISSN 0196-2892.

  • Rypdal, Martin Wibe; Rypdal, Kristoffer; Løvsletten, Ola; Sørbye, Sigrunn Holbek; Ytterstad, Elinor; Bianchi, Filippo Maria. 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; Volum 18 (8). ISSN 1661-7827.s doi: 10.3390/ijerph18083913.

  • Luppino, Luigi Tommaso; Kampffmeyer, Michael; Bianchi, Filippo Maria; Moser, Gabriele; Serpico, Sebastiano Bruno; Jenssen, Robert; Anfinsen, Stian Normann. Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. IEEE Transactions on Geoscience and Remote Sensing 2021. ISSN 0196-2892.s doi: 10.1109/TGRS.2021.3056196.

  • Mikalsen, Karl Øyvind; Ruiz, Cristina Soguero; Bianchi, Filippo Maria; Revhaug, Arthur; Jenssen, Robert. Time series cluster kernels to exploit informative missingness and incomplete label information. Pattern Recognition 2021. ISSN 0031-3203.

  • Bianchi, Filippo Maria; Grattarola, Daniele; Livi, Lorenzo; Alippi, Cesare. Graph Neural Networks with Convolutional ARMA Filters. IEEE Transactions on Pattern Analysis and Machine Intelligence 2021. ISSN 0162-8828.s doi: 10.1109/TPAMI.2021.3054830.

  • Foldvik Eikeland, Odin; Bianchi, Filippo Maria; Chiesa, Matteo; Apostoleris, Harry; Hansen, Morten; Chiou, Yu-Cheng. Predicting Energy Demand in Semi-Remote Arctic Locations. Energies 2021; Volum 798. ISSN 1996-1073.s doi: https://doi.org/10.3390/en14040798.

  • Bianchi, Filippo Maria; Grattarola, Daniele; Alippi, Cesare. Spectral Clustering with Graph Neural Networks for Graph Pooling. Proceedings of Machine Learning Research (PMLR) 2020 (37). ISSN 2640-3498.

  • Choi, Changkyu; Bianchi, Filippo Maria; Kampffmeyer, Michael; Jenssen, Robert. Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks. Proceedings of the Northern Lights Deep Learning Workshop 2020; Volum 1.s doi: 10.7557/18.5136.

  • Bianchi, Filippo Maria; Grattarola, Daniele; Livi, Lorenzo; Alippi, Cesare. Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling. IEEE Transactions on Neural Networks and Learning Systems 2020. ISSN 2162-237X.s doi: 10.1109/TNNLS.2020.3044146.

  • Rypdal, Kristoffer; Bianchi, Filippo Maria; Rypdal, Martin. 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. ISSN 1661-7827.s doi: 10.3390/ijerph17249592.

  • Bianchi, Filippo Maria; Grahn, Jakob; Eckerstorfer, Markus; Malnes, Eirik; Vickers, Hannah. Snow avalanche segmentation in SAR images with Fully Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020. ISSN 1939-1404.s doi: 10.1109/JSTARS.2020.3036914.

  • Bianchi, Filippo Maria; Scardapane, Simone; Løkse, Sigurd; Jenssen, Robert. Reservoir computing approaches for representation and classification of multivariate time series. IEEE Transactions on Neural Networks and Learning Systems 2020. ISSN 2162-237X.s doi: 10.1109/tnnls.2020.3001377.

  • Bianchi, Filippo Maria; Espeseth, Martine; Borch, Njål Trygve. Large-Scale Detection and Categorization of Oil Spills from SAR Images with Deep Learning. Remote Sensing 2020; Volum 12 (14). ISSN 2072-4292.s 1 - 27.s doi: 10.3390/rs12142260.

  • Kube, Ralph; Bianchi, Filippo Maria; Brunner, Dan; LaBombard, Brian. Outlier classification using autoencoders: Application for fluctuation driven flows in fusion plasmas. Review of Scientific Instruments 2019; Volum 90 (013505). ISSN 0034-6748.s doi: 10.1063/1.5049519.

  • Bianchi, Filippo Maria. Learning representations of multivariate time series with missing data. Pattern Recognition 2019. ISSN 0031-3203.s doi: https://doi.org/10.1016/j.patcog.2019.106973.

  • Bianchi, Filippo Maria; Livi, Lorenzo; Mikalsen, Karl Øyvind; Kampffmeyer, Michael C.; Jenssen, Robert. Learning representations of multivariate time series with missing data. Pattern Recognition 2019; Volum 96:106973. ISSN 0031-3203.s 1 - 11.s doi: 10.1016/j.patcog.2019.106973.

  • Cinti, Alessandro; Bianchi, Filippo Maria; Martino, Alessio; Rizzi, Antonello. A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation. Cognitive Computation 2019. ISSN 1866-9956.s 1 - 19.s doi: 10.1007/s12559-019-09646-y.

  • Luppino, Luigi Tommaso; Bianchi, Filippo Maria; Moser, Gabriele; Anfinsen, Stian Normann. Unsupervised Image Regression for Heterogeneous Change Detection. (Fulltekst: https://ieeexplore.ieee.org/document/8798991 IEEE Transactions on Geoscience and Remote Sensing 2019; Volum 57 (12). ISSN 0196-2892.s 9960 - 9975.s doi: 10.1109/TGRS.2019.2930348.

  • Mikalsen, Karl Øyvind; Soguero-Ruiz, Cristina; Bianchi, Filippo Maria; Jenssen, Robert. Noisy multi-label semi-supervised dimensionality reduction. Pattern Recognition 2019; Volum 90. ISSN 0031-3203.s 257 - 270.s doi: https://doi.org/10.1016/j.patcog.2019.01.033.

  • Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert. Deep divergence-based approach to clustering. Neural Networks 2019; Volum 113. ISSN 0893-6080.s 91 - 101.s doi: 10.1016/j.neunet.2019.01.015.

  • Bianchi, Filippo Maria; Gallicchio, Claudio; Micheli, Alessio. Pyramidal Graph Echo State Networks. 2018.

  • Luppino, Luigi Tommaso; Bianchi, Filippo Maria; Moser, Gabriele; Anfinsen, Stian Normann. Remote sensing image regression for heterogeneous change detection. (Fulltekst: https://ieeexplore.ieee.org/abstract/document/8517033 IEEE Signal Processing Society 2018 ISBN 978-1-5386-5477-4.s doi: 10.1109/MLSP.2018.8517033.

  • Bianchi, Filippo Maria; Livi, Lorenzo; Ferrante, Alberto; Milosevic, Jelena; Miroslaw, Malek. Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs. Proceedings of ... International Joint Conference on Neural Networks 2018. ISSN 2161-4393.s doi: 10.1109/ijcnn.2018.8489716.

  • Bianchi, Filippo Maria; Scardapane, Simone; Løkse, Sigurd; Jenssen, Robert. Bidirectional deep-readout echo state networks. (Fulltekst: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2018-49.pdf 2018.s 425 - 430.

  • Bianchi, Filippo Maria; Mikalsen, Karl Øyvind; Jenssen, Robert. Learning compressed representations of blood samples time series with missing data. 2018.s doi: 10.1016/j.patcog.2019.106973.

  • Strauman, Andreas Storvik; Bianchi, Filippo Maria; Mikalsen, Karl Øyvind; Kampffmeyer, Michael C.; Soguero-Ruiz, Cristina; Jenssen, Robert. Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks. IEEE 2018 ISBN 9781538624067.s 307 - 310.s doi: 10.1109/BHI.2018.8333430.

  • Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Jenssen, Robert; Livi, Lorenzo. The deep kernelized autoencoder. Applied Soft Computing 2018; Volum 71. ISSN 1568-4946.s 816 - 825.s doi: 10.1016/j.asoc.2018.07.029.

  • Løkse, Sigurd; Bianchi, Filippo Maria; Jenssen, Robert. Training Echo State Networks with Regularization Through Dimensionality Reduction. Cognitive Computation 2017; Volum 9 (3). ISSN 1866-9956.s 364 - 378.s doi: 10.1007/s12559-017-9450-z.

  • Mikalsen, Karl Øyvind; Bianchi, Filippo Maria; Ruiz, Cristina Soguero; Jenssen, Robert. Time series cluster kernel for learning similarities between multivariate time series with missing data. (Fulltekst: https://www.sciencedirect.com/science/article/pii/S0031320317304843 Pattern Recognition 2017; Volum 76. ISSN 0031-3203.s 569 - 581.s doi: 10.1016/j.patcog.2017.11.030.

  • Mikalsen, Karl Øyvind; Bianchi, Filippo Maria; Ruiz, Cristina Soguero; Jenssen, Robert. The time series cluster kernel. IEEE Signal Processing Society 2017 ISBN 978-1-5090-6341-3.

  • Bianchi, Filippo Maria; Livi, Lorenzo; Jenssen, Robert; Alippi, Cesare. Critical echo state network dynamics by means of Fisher information maximization. IEEE 2017 (2017) ISBN 978-1-5090-6182-2. ISSN 2161-4393.s 852 - 858.s doi: 10.1109/IJCNN.2017.7965941.

  • Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Livi, Lorenzo; Salberg, Arnt Børre; Jenssen, Robert. Deep divergence-based clustering. (Fulltekst: http://ieeexplore.ieee.org/document/8168158/ IEEE Signal Processing Society 2017 ISBN 978-1-5090-6341-3.s doi: 10.1109/MLSP.2017.8168158.

  • Bianchi, Filippo Maria; Kampffmeyer, Michael C.; Maiorino, Enrico; Jenssen, Robert. Temporal overdrive recurrent neural network. IEEE 2017 (2017) ISBN 978-1-5090-6182-2. ISSN 2161-4393.s 4275 - 4282.s doi: 10.1109/IJCNN.2017.7966397.

  • Luppino, Luigi Tommaso; Anfinsen, Stian Normann; Moser, Gabriele; Jenssen, Robert; Bianchi, Filippo Maria; Serpico, Sebastian Bruno; Mercier, Gregoire. A clustering approach to heterogeneous change detection. (Fulltekst: https://link.springer.com/chapter/10.1007/978-3-319-59129-2_16 Springer 2017 (10270) ISBN 978-3-319-59128-5. ISSN 0302-9743.s 181 - 192.s doi: 10.1007/978-3-319-59129-2_16.

  • Dang Ha The, Hien; Bianchi, Filippo Maria; Olsson, Roland. Local short term electricity load forecasting: Automatic approaches. Proceedings of ... International Joint Conference on Neural Networks 2017. ISSN 2161-4393.s 4267 - 4274.s doi: 10.1109/IJCNN.2017.7966396.

  • Kampffmeyer, Michael C.; Løkse, Sigurd; Bianchi, Filippo Maria; Jenssen, Robert; Livi, Lorenzo. Deep kernelized autoencoders. Lecture Notes in Computer Science (LNCS) 2017; Volum 10269 LNCS. ISSN 0302-9743.s 419 - 430.s doi: 10.1007/978-3-319-59126-1_35.

  • Løkse, Sigurd; Bianchi, Filippo Maria; Salberg, Arnt Børre; Jenssen, Robert. Spectral clustering using PCKID ? A probabilistic cluster kernel for incomplete data. Lecture Notes in Computer Science (LNCS) 2017; Volum 10269 LNCS. ISSN 0302-9743.s 431 - 442.s doi: 10.1007/978-3-319-59126-1_36.

  • Bianchi, Filippo Maria; Livi, Lorenzo; Alippi, Cesare; Jenssen, Robert. Multiplex visibility graphs to investigate recurrent neural network dynamics. Scientific Reports 2017; Volum 7. ISSN 2045-2322.s 1 - 13.s doi: 10.1038/srep44037.

  • Bianchi, Filippo Maria; Livi, Lorenzo; Alippi, Cesare. Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization. IEEE Transactions on Neural Networks and Learning Systems 2017; Volum 29 (3). ISSN 2162-237X.s 706 - 717.s doi: 10.1109/TNNLS.2016.2644268.

  • Maiorino, Enrico; Bianchi, Filippo Maria; Livi, Lorenzo; Rizzi, Antonello; Sadeghian, Alireza. Data-driven detrending of nonstationary fractal time series with echo state networks. Information Sciences 2017; Volum 382-383. ISSN 0020-0255.s 359 - 373.s doi: 10.1016/j.ins.2016.12.015.

  • Bianchi, Filippo Maria; Livi, Lorenzo; Alippi, Cesare. Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis. IEEE Transactions on Neural Networks and Learning Systems 2016; Volum 29 (2). ISSN 2162-237X.s 427 - 439.s doi: 10.1109/TNNLS.2016.2630802.

  • Bianchi, Filippo Maria; Rizzi, Antonello; Sadeghian, Alireza; Moiso, Corrado. Identifying user habits through data mining on call data records. Engineering Applications of Artificial Intelligence 2016. ISSN 0952-1976.s doi: 10.1016/j.engappai.2016.05.007.

  • Bianchi, Filippo Maria; Maiorino, Enrico; Kampffmeyer, Michael C.; Rizzi, Antonello; Jenssen, Robert. Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis. Springer 2017 (1) ISBN 978-3-319-70338-1. ISSN 2191-5768.

  • Sharma, Puneet; Bianchi, Filippo Maria. 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part I. Springer 2017 ISBN 978-3-319-59126-1.

  • Sharma, Puneet; Bianchi, Filippo Maria. Image Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part II. Springer 2017 (10270) ISBN 978-3-319-59128-5. ISSN 0302-9743.s 314 - 325.s doi: 10.1007/978-3-319-59129-2_27.

  • Sharma, Puneet; Bianchi, Filippo Maria. Image Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part I. (Fulltekst: https://link.springer.com/book/10.1007/978-3-319-59126-1 Springer 2017 (10269) ISBN 978-3-319-59125-4. ISSN 0302-9743.s 550 - 561.s doi: 10.1007/978-3-319-59126-1_46.

  • Bianchi, Filippo Maria; Suganthan, Ponnuthurai Nagaratnam. Non-iterative Learning Approaches and Their Applications. Cognitive Computation 2020; Volum 12. ISSN 1866-9956.s 327-329 - .s doi: 10.1007/s12559-020-09720-w.

  • Choi, Changkyu; Bianchi, Filippo Maria; Kampffmeyer, Michael; Jenssen, Robert. Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks. Northern Lights Deep Learning Workshop (NLDL) 2020 (Fulltekst: https://septentrio.uit.no/index.php/nldl/article/download/5136/5092 2020-01-19 - 2020-01-21 2020.

  • Noori, Nadia Saad; Waag, Tor Inge; Bianchi, Filippo Maria. Condition Monitoring System for Internal Blowout Prevention (IBOP) in Top Drive Assembly System using Discrete Event Systems and Deep Learning Approaches. PHM Society European Conference 2020-07-27 - 2020-07-31 2020.

  • Bianchi, Filippo Maria; Livi, Lorenzo; Alippi, Cesare. On the interpretation and characterization of echo state networks dynamics: A complex systems perspective. Springer 2018 ISBN 978-3-319-67946-4.s 143 - 167.s doi: 10.1007/978-3-319-67946-4_5.

  • Kube, Ralph; Bianchi, Filippo Maria; LaBombard, Brian; Brunner, Dan. Outlier classification using Autoencoders: applications for fluctuation driven flows in fusion plasmas. MIT Plasma Science and Fusion Center: Machine Learning seminar 2018-05-30 - 2018-05-30 2018.

  • Sharma, Puneet; Bianchi, Filippo Maria. Preface. Lecture Notes in Computer Science (LNCS) 2017; Volum 10269 LNCS. ISSN 0302-9743.s doi: 10.1007/978-3-319-59126-1.

  • Sharma, Puneet; Bianchi, Filippo Maria. Preface. Lecture Notes in Computer Science (LNCS) 2017; Volum 10270 LNCS. ISSN 0302-9743.s V - V.

  • Scardapane, Simone; Butcher, John B.; Bianchi, Filippo Maria; Malik, Zeeshan K.. Advances in Biologically Inspired Reservoir Computing. Cognitive Computation 2017; Volum 9 (3). ISSN 1866-9956.s 295 - 296.s doi: 10.1007/s12559-017-9469-1.

  • Mikalsen, Karl Øyvind; Bianchi, Filippo Maria; Soguero-Ruiz, Cristina; Skrøvseth, Stein Olav; Lindsetmo, Rolv-Ole; Revhaug, Arthur; Jenssen, Robert. Learning similarities between irregularly sampled short multivariate time series from EHRs. 3rd International Workshop on Pattern Recognition for Healthcare Analytics at ICPR 2016 2016-12-04 - 2016-12-04 2016.

  • Bianchi, Filippo Maria; Suganthan, Ponnuthurai Nagaratnam. Non-iterative Learning Approaches and Their Applications. Cognitive Computation 2020; Volum 12. ISSN 1866-9956.s 327-329 - .s doi: 10.1007/s12559-020-09720-w.

  • Choi, Changkyu; Bianchi, Filippo Maria; Kampffmeyer, Michael; Jenssen, Robert. Short-Term Load Forecasting with Missing Data using Dilated Recurrent Attention Networks. Northern Lights Deep Learning Workshop (NLDL) 2020 (Fulltekst: https://septentrio.uit.no/index.php/nldl/article/download/5136/5092 2020-01-19 - 2020-01-21 2020.

  • Noori, Nadia Saad; Waag, Tor Inge; Bianchi, Filippo Maria. Condition Monitoring System for Internal Blowout Prevention (IBOP) in Top Drive Assembly System using Discrete Event Systems and Deep Learning Approaches. PHM Society European Conference 2020-07-27 - 2020-07-31 2020.

  • Bianchi, Filippo Maria; Livi, Lorenzo; Alippi, Cesare. On the interpretation and characterization of echo state networks dynamics: A complex systems perspective. Springer 2018 ISBN 978-3-319-67946-4.s 143 - 167.s doi: 10.1007/978-3-319-67946-4_5.

  • Kube, Ralph; Bianchi, Filippo Maria; LaBombard, Brian; Brunner, Dan. Outlier classification using Autoencoders: applications for fluctuation driven flows in fusion plasmas. MIT Plasma Science and Fusion Center: Machine Learning seminar 2018-05-30 - 2018-05-30 2018.

  • Sharma, Puneet; Bianchi, Filippo Maria. Preface. Lecture Notes in Computer Science (LNCS) 2017; Volum 10269 LNCS. ISSN 0302-9743.s doi: 10.1007/978-3-319-59126-1.

  • Sharma, Puneet; Bianchi, Filippo Maria. Preface. Lecture Notes in Computer Science (LNCS) 2017; Volum 10270 LNCS. ISSN 0302-9743.s V - V.

  • Scardapane, Simone; Butcher, John B.; Bianchi, Filippo Maria; Malik, Zeeshan K.. Advances in Biologically Inspired Reservoir Computing. Cognitive Computation 2017; Volum 9 (3). ISSN 1866-9956.s 295 - 296.s doi: 10.1007/s12559-017-9469-1.

  • Mikalsen, Karl Øyvind; Bianchi, Filippo Maria; Soguero-Ruiz, Cristina; Skrøvseth, Stein Olav; Lindsetmo, Rolv-Ole; Revhaug, Arthur; Jenssen, Robert. Learning similarities between irregularly sampled short multivariate time series from EHRs. 3rd International Workshop on Pattern Recognition for Healthcare Analytics at ICPR 2016 2016-12-04 - 2016-12-04 2016.

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