Liliann Miche
Liliann Miche
Other namesYoan Miche
Bell Labs, Nokia
Verified email at
Cited by
Cited by
OP-ELM: optimally pruned extreme learning machine
Y Miche, A Sorjamaa, P Bas, O Simula, C Jutten, A Lendasse
Neural Networks, IEEE Transactions on 21 (1), 158-162, 2010
Extreme learning machines [trends & controversies]
E Cambria, GB Huang, LLC Kasun, H Zhou, CM Vong, J Lin, J Yin, Z Cai, ...
IEEE intelligent systems 28 (6), 30-59, 2013
Prototyping a digital twin for real time remote control over mobile networks: Application of remote surgery
H Laaki, Y Miche, K Tammi
Ieee Access 7, 20325-20336, 2019
High-performance extreme learning machines: a complete toolbox for big data applications
A Akusok, KM Björk, Y Miche, A Lendasse
IEEE Access 3, 1011-1025, 2015
TROP-ELM: a double-regularized ELM using LARS and Tikhonov regularization
Y Miche, M Van Heeswijk, P Bas, O Simula, A Lendasse
Neurocomputing 74 (16), 2413-2421, 2011
GPU-accelerated and parallelized ELM ensembles for large-scale regression
M Van Heeswijk, Y Miche, E Oja, A Lendasse
Neurocomputing 74 (16), 2430-2437, 2011
Bankruptcy prediction using extreme learning machine and financial expertise
Q Yu, Y Miche, E Séverin, A Lendasse
Neurocomputing 128, 296-302, 2014
Regularized extreme learning machine for regression with missing data
Q Yu, Y Miche, E Eirola, M Van Heeswijk, E Séverin, A Lendasse
Neurocomputing 102, 45-51, 2013
OP-ELM: theory, experiments and a toolbox
Y Miche, A Sorjamaa, A Lendasse
International conference on Artificial Neural networks, 145-154, 2008
Adaptive ensemble models of extreme learning machines for time series prediction
M Van Heeswijk, Y Miche, T Lindh-Knuutila, PAJ Hilbers, T Honkela, ...
Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009
Extreme learning machine for missing data using multiple imputations
D Sovilj, E Eirola, Y Miche, KM Björk, R Nian, A Akusok, A Lendasse
Neurocomputing 174, 220-231, 2016
Long-term time series prediction using OP-ELM
A Grigorievskiy, Y Miche, AM Ventelä, E Séverin, A Lendasse
Neural Networks 51, 50-56, 2014
Adaptive and online network intrusion detection system using clustering and extreme learning machines
S Roshan, Y Miche, A Akusok, A Lendasse
Journal of the Franklin Institute 355 (4), 1752-1779, 2018
Feature selection for nonlinear models with extreme learning machines
F Benoît, M Van Heeswijk, Y Miche, M Verleysen, A Lendasse
Neurocomputing 102, 111-124, 2013
A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM.
Y Miche, P Bas, C Jutten, O Simula, A Lendasse
ESANN, 247-252, 2008
Minimal learning machine: A novel supervised distance-based approach for regression and classification
AH de Souza Junior, F Corona, GA Barreto, Y Miche, A Lendasse
Neurocomputing 164, 34-44, 2015
Fast face recognition via sparse coding and extreme learning machine
B He, D Xu, R Nian, M van Heeswijk, Q Yu, Y Miche, A Lendasse
Cognitive Computation 6, 264-277, 2014
A feature selection methodology for steganalysis
Y Miche, B Roue, A Lendasse, P Bas
International Workshop on Multimedia Content Representation, Classification …, 2006
Anomaly-based intrusion detection using extreme learning machine and aggregation of network traffic statistics in probability space
BG Atli, Y Miche, A Kalliola, I Oliver, S Holtmanns, A Lendasse
Cognitive Computation 10 (5), 848-863, 2018
Extreme learning machine towards dynamic model hypothesis in fish ethology research
R Nian, B He, B Zheng, M Van Heeswijk, Q Yu, Y Miche, A Lendasse
Neurocomputing 128, 273-284, 2014
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