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Postdoctoral Fellow

Løkse, Sigurd Eivindson

Postdoctoral Research Fellow / Machine Learning Department of Physics and Technology
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  • 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.

  • 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.

  • 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.

  • 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.

  • Løkse, Sigurd; Jenssen, Robert. Ranking Using Transition Probabilities Learned from Multi-Attribute Data. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2018; Volum 2018-April. ISSN 1520-6149.s 2851 - 2855.s doi: 10.1109/ICASSP.2018.8462132.

  • 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.

  • 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.

  • Myhre, Jonas Nordhaug; Jenssen, Robert; Mikalsen, Karl Øyvind; Løkse, Sigurd. Robust clustering using a kNN mode seeking ensemble. (Fulltekst: https://www.sciencedirect.com/science/article/pii/S0031320317304776 (Prosjekt: site.uit.no/ml/ og http://site.uit.no/reinforcementlearning/) Pattern Recognition 2017; Volum 76. ISSN 0031-3203.s 491 - 505.s doi: 10.1016/j.patcog.2017.11.023.

  • 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.

  • Myhre, Jonas Nordhaug; Mikalsen, Karl Øyvind; Løkse, Sigurd; Jenssen, Robert. Consensus Clustering Using kNN Mode Seeking. Springer 2015; Volum 9127 (19) ISBN 978-3-319-19665-7. ISSN 0302-9743.s 175 - 186.s doi: 10.1007/978-3-319-19665-7_15.

  • Myhre, Jonas; Mikalsen, Karl Øyvind; Løkse, Sigurd; Jenssen, Robert. Robust Non-Parametric Mode Clustering. NIPS workshop on Adaptive and Scalable Nonparametric Methods in Machine Learning 2016-12-10 - 2016-12-10 2016.

  • Myhre, Jonas; Mikalsen, Karl Øyvind; Løkse, Sigurd; Jenssen, Robert. Robust Non-Parametric Mode Clustering. NIPS workshop on Adaptive and Scalable Nonparametric Methods in Machine Learning 2016-12-10 - 2016-12-10 2016.

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