Anton Akusok
Anton Akusok
Arcada UAS
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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
3472013
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
2272015
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
832016
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
522018
A two-stage methodology using K-NN and false-positive minimizing ELM for nominal data classification
A Akusok, Y Miche, J Hegedus, R Nian, A Lendasse
Cognitive Computation 6 (3), 432-445, 2014
352014
SOM-ELM—self-organized clustering using ELM
Y Miche, A Akusok, D Veganzones, KM Björk, E Séverin, P du Jardin, ...
Neurocomputing 165, 238-254, 2015
262015
Arbitrary category classification of websites based on image content
A Akusok, Y Miche, J Karhunen, KM Bjork, R Nian, A Lendasse
IEEE Computational Intelligence Magazine 10 (2), 30-41, 2015
242015
Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification
M Termenon, M Graña, A Savio, A Akusok, Y Miche, KM Björk, ...
Neurocomputing 174, 344-351, 2016
202016
MD-ELM: originally mislabeled samples detection using OP-ELM model
A Akusok, D Veganzones, Y Miche, KM Björk, P Du Jardin, E Severin, ...
Neurocomputing 159, 242-250, 2015
192015
ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines
A Akusok, S Baek, Y Miche, KM Björk, R Nian, P Lauren, A Lendasse
Neurocomputing 205, 247-263, 2016
182016
Extreme learning machine: A robust modeling technique? Yes!
A Lendasse, A Akusok, O Simula, F Corona, M van Heeswijk, E Eirola, ...
International Work-Conference on Artificial Neural Networks, 17-35, 2013
162013
Finding Originally Mislabels with MD-ELM.
A Akusok, D Veganzones, Y Miche, E Severin, A Lendasse
ESANN, 2014
132014
Image-based classification of websites
A Akusok, A Grigorievskiy, A Lendasse, Y Miche, T Villmann, F Schleif
Machine Learning Reports 2, 25-34, 2013
132013
Extreme learning machines for multiclass classification: refining predictions with gaussian mixture models
E Eirola, A Gritsenko, A Akusok, KM Björk, Y Miche, D Sovilj, R Nian, B He, ...
International Work-Conference on Artificial Neural Networks, 153-164, 2015
122015
ELMVIS+: improved nonlinear visualization technique using cosine distance and extreme learning machines
A Akusok, Y Miche, KM Björk, R Nian, P Lauren, A Lendasse
Proceedings of ELM-2015 Volume 2, 357-369, 2016
102016
A web page classifier library based on random image content analysis using deep learning
LE Leal, KM Björk, A Lendasse, A Akusok
Proceedings of the 11th PErvasive Technologies Related to Assistive …, 2018
92018
ELM-SOM: a continuous self-organizing map for visualization
R Hu, V Roshdibenam, HJ Johnson, E Eirola, A Akusok, Y Miche, ...
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
82018
Efficient skin segmentation via neural networks: HP-ELM and BD-SOM
C Swaney, A Akusok, KM Björk, Y Miche, A Lendasse
Procedia Computer Science 53, 400-409, 2015
82015
Adding reliability to ELM forecasts by confidence intervals
A Akusok, A Gritsenko, Y Miche, KM Björk, R Nian, P Lauren, A Lendasse
Neurocomputing 219, 232-241, 2017
72017
Learning flow characteristics distributions with elm for distributed denial of service detection and mitigation
A Kalliola, Y Miche, I Oliver, S Holtmanns, B Atli, A Lendasse, KM Bjork, ...
Proceedings of ELM-2016, 129-143, 2018
62018
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