Anton Akusok

According to our database, Anton Akusok authored at least 33 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Native interaction experience for computational maps with mobile devices.

Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Renjie Hu

Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines.

Tamirat Atsemegiorgis, Leonardo Espinosa Leal, Amaury Lendasse, Stefan Mattbäck, Kaj-Mikael Björk, Anton Akusok

Proceedings of the Advances in Computational Intelligence, 2023

2021

Handwriting features based detection of fake signatures.

Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Renjie Hu

Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

2019

Per-sample prediction intervals for extreme learning machines.

Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse

Int. J. Mach. Learn. Cybern., 2019

Mislabel Detection of Finnish Publication Ranks.

Anton Akusok, Mirka Saarela, Tommi Kärkkäinen, Kaj-Mikael Björk, Amaury Lendasse

CoRR, 2019

Extreme Learning Tree.

Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Amaury Lendasse

CoRR, 2019

Incremental ELMVIS for unsupervised learning.

Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse

CoRR, 2019

Spiking networks for improved cognitive abilities of edge computing devices.

Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

2018

Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines.

Setareh Roshan, Yoan Miche, Anton Akusok, Amaury Lendasse

J. Frankl. Inst., 2018

Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables.

Andrey Gritsenko, Anton Akusok, Stephen Baek, Yoan Miche, Amaury Lendasse

Cogn. Comput., 2018

A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning.

Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018

ELM-SOM: A Continuous Self-Organizing Map for Visualization.

Renjie Hu, Venous Roshdibenam, Hans J. Johnson, Emil Eirola, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation.

Anton Akusok, Emil Eirola

Proceedings of ELM 2018, 2018

2017

Adding reliability to ELM forecasts by confidence intervals.

Anton Akusok, Andrey Gritsenko, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse

Neurocomputing, 2017

Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease.

Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Yoan Miché, Hans J. Johnson, Amaury Lendasse

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

Advanced query strategies for Active Learning with Extreme Learning Machines.

Anton Akusok, Emil Eirola, Yoan Miché, Andrey Gritsenko, Amaury Lendasse

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Practical Estimation of Mutual Information on Non-Euclidean Spaces.

Yoan Miche, Ian Oliver, Wei Ren, Silke Holtmanns, Anton Akusok, Amaury Lendasse

Proceedings of the Machine Learning and Knowledge Extraction, 2017

2016

Extreme learning machine for missing data using multiple imputations.

Dusan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse

Neurocomputing, 2016

Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification.

Maite Termenon, Manuel Graña, Alexandre Savio, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse

Neurocomputing, 2016

ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines.

Anton Akusok, Stephen Baek, Yoan Miché, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse

Neurocomputing, 2016

Combined nonlinear visualization and classification: ELMVIS++C.

Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data.

Yoan Miché, Ian Oliver, Silke Holtmanns, Aapo Kalliola, Anton Akusok, Amaury Lendasse, Kaj-Mikael Björk

Proceedings of the Availability, Reliability, and Security in Information Systems, 2016

2015

SOM-ELM - Self-Organized Clustering using ELM.

Yoan Miché, Anton Akusok, David Veganzones, Kaj-Mikael Björk, Eric Séverin, Philippe du Jardin, Maite Termenon, Amaury Lendasse

Neurocomputing, 2015

MD-ELM: Originally Mislabeled Samples Detection using OP-ELM Model.

Anton Akusok, David Veganzones, Yoan Miché, Kaj-Mikael Björk, Philippe du Jardin, Eric Séverin, Amaury Lendasse

Neurocomputing, 2015

Arbitrary Category Classification of Websites Based on Image Content.

Anton Akusok, Yoan Miche, Juha Karhunen, Kaj-Mikael Björk, Rui Nian, Amaury Lendasse

IEEE Comput. Intell. Mag., 2015

High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications.

Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse

IEEE Access, 2015

Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models.

Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse

Proceedings of the Advances in Computational Intelligence, 2015

Efficient Skin Segmentation via Neural Networks: HP-ELM and BD-SOM.

C. Swaney, Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse

Proceedings of the INNS Conference on Big Data 2015, 2015

2014

A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification.

Anton Akusok, Yoan Miche, Jozsef Hegedus, Rui Nian, Amaury Lendasse

Cogn. Comput., 2014

Finding Originally Mislabels with MD-ELM.

Anton Akusok, David Veganzones, Yoan Miché, Eric Séverin, Amaury Lendasse

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Extreme Learning Machines.

Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu

IEEE Intell. Syst., 2013

Extreme Learning Machine: A Robust Modeling Technique? Yes!

Amaury Lendasse, Anton Akusok, Olli Simula, Francesco Corona, Mark van Heeswijk, Emil Eirola, Yoan Miche

Proceedings of the Advances in Computational Intelligence, 2013

2012

Fast variable selection for memetracker phrases time series prediction.

Yoan Miche, Tatiana Chistiakova, Anton Akusok, Amaury Lendasse, Rui Nian, Alberto Guillén

Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012