Juha Karhunen

Helsinki University of Technology|Neural Networks Research Centre

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Papers137 papers

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Quantification of H/D content in Be/W mixtures coatings by CF-LIBS

P Veis, A Marín-Roldán, V Dwivedi,J Karhunen,P Paris,I Jõgi,C Porosnicu,C P Lungu, V Nemanic,A Hakola

Physica Scripta, pp.014073, (2020)

Bibtex

Physically principled reflection models applied to filtered camera imaging inversions in metal walled fusion machines

M Carr,A Meakins,S A Silburn,J Karhunen,M Bernert, C Bowman, A Callarelli,P Carvalho,C Giroud,J R Harrison,S S Henderson,A Huber

The Review of scientific instruments, no. 4 (2019): 043504

WOSBibtex

SOLPS 5.0 simulations of the inner divertor detachment of L-mode plasmas in ASDEX Upgrade with convection-dominated radial SOL transport

J. Karhunen,M. Groth,D. P. Coster,M. Bernert,D. Carralero,L. Guimarais, V. Nikolaeva,S. Potzel,T. Pütterich,F. Reimold,A. Scarabosio,E. Viezzer

Nuclear materials and energy, (2019): 279-286

Bibtex

Effect of reflections on 2D tomographic reconstructions of filtered cameras and on interpreting spectroscopic measurements in the JET ITER-like wall divertor

J. Karhunen, M. Carr,J. R. Harrison, B. Lomanowski,I. Balboa,P. Carvalho,M. Groth,A. Huber,G. F. Matthews,A. Meakins,S. Silburn,Jet Contributors

Review of Scientific Instruments, no. 10 (2019): 103504

Bibtex

Demonstration of improvement in 2D tomographic reconstructions of filtered cameras in the JET ITER-like wall divertor due to corrected interpretation of reflections

J. Karhunen, M. Carr,J.R. Harrison, B. Lomanowski,I. Balboa,P. Carvalho,M. Groth,A. Huber,G.F. Matthews,A. Meakins,S. Silburn,Jet Contributors

Journal of Instrumentation, no. 10 (2019)

Bibtex

METHOD FOR DETECTING AGING RELATED FAILURES OF PROCESS SENSORS VIA NOISE SIGNAL MEASUREMENT

Topi Toosi,Miki Sirola, Jarkko Laukkanen,Mark van Heeswijk,Juha Karhunen

International Journal of Computing, no. 2 (2019): 135-146

Bibtex

Stochastic discriminant analysis for linear supervised dimension reduction

Mika Juuti,Francesco Corona,Juha Karhunen

Neurocomputing, (2018): 136-150

Cited by7EIBibtex

Detecting aging of process sensors with noise signal measurement

Topi Toosi,Miki Sirola, Jarkko Laukkanen,Mark van Heeswijk,Juha Karhunen

IDAACS, pp.35-40, (2017)

EIBibtex

A pragmatic android malware detection procedure

Paolo Palumbo,Luiza Sayfullina, Dmitriy Komashinskiy,Emil Eirola,Juha Karhunen

Computers & Security, (2017): 689-701

Cited by17EIBibtex

Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map

Satoru Ishikawa,Jorma Laaksonen,Juha Karhunen

IJCNN, pp.1305-1312, (2017)

EIBibtex

Gaussian Process kernels for popular state-space time series models

Alexander Grigorievskiy,Juha Karhunen

IJCNN, pp.3354-3363, (2016)

Cited by4EIBibtex

A Character-Word Compositional Neural Language Model for Finnish

Matti Lankinen,Hannes Heikinheimo,Pyry Takala,Tapani Raiko,Juha Karhunen

arXiv: Computation and Language, (2016)

Cited by7EIBibtex

Air quality forecasting using neural networks

Chen Zhao,Mark van Heeswijk,Juha Karhunen

SSCI, pp.1-7, (2016)

Cited by1EIBibtex

Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation

Huiling Wang,Tapani Raiko,Lasse Lensu,Tinghuai Wang,Juha Karhunen

ACCV, (2016)

Cited by19EIBibtex

Android Malware Detection: Building Useful Representations

Luiza Sayfullina,Emil Eirola,Dmitry Komashinsky, Paolo Palumbo,Juha Karhunen

ICMLA, pp.201-206, (2016)

Cited by6EIBibtex

Bidirectional Recurrent Neural Networks as Generative Models

Mathias Berglund,Tapani Raiko,Mikko Honkala,Leo Kärkkäinen,Akos Vetek,Juha Karhunen

Annual Conference on Neural Information Processing Systems, (2015)

Cited by47EIBibtex

Stochastic Discriminant Analysis

Mika Juuti,Francesco Corona,Juha Karhunen

International Joint Conference on Neural Networks, (2015)

EIBibtex

LIBS for tungsten diagnostics in vacuum: Selection of analytes

A Lissovski,K Piip, L Hamarik,Mart Aints,M Laan,P Paris,A Hakola,Juha Karhunen

Journal of Nuclear Materials, (2015)

Cited by1Bibtex

Applicability of LIBS for in situ monitoring of deposition and retention on the ITER-like wall of JET – Comparison to SIMS

Juha Karhunen, A Hakola,J Likonen,A Lissovski,M Laan,P Paris,Jet Efda Contributors

Journal of Nuclear Materials, (2015)

Bibtex

Chapter 7 - Unsupervised deep learning: A short review

Juha Karhunen,Tapani Raiko,Kyunghyun Cho

(2015)

Bibtex

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