Anton Akusok

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Topics

Unsupervised Learning

Image Content Analysis

Prediction Intervals

Top Venues

Publications

Anton Akusok, Leonardo Espinosa-Leal, Kaj-Mikael Björk
Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine. PETRA (2024)
Tamirat Atsemegiorgis, Leonardo Espinosa Leal, Amaury Lendasse, Stefan Mattbäck, Kaj-Mikael Björk, Anton Akusok
Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines. IWANN (1) (2023)
Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Renjie Hu
Native interaction experience for computational maps with mobile devices. PETRA (2023)
Anton Akusok, Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Renjie Hu
Handwriting features based detection of fake signatures. PETRA (2021)
Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
Per-sample Prediction Intervals for Extreme Learning Machines. CoRR (2019)
Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
Per-sample prediction intervals for extreme learning machines. Int. J. Mach. Learn. Cybern. 10 (5) (2019)
Anton Akusok, Mirka Saarela, Tommi Kärkkäinen, Kaj-Mikael Björk, Amaury Lendasse
Mislabel Detection of Finnish Publication Ranks. CoRR (2019)
Anton Akusok, Emil Eirola, Yoan Miche, Ian Oliver, Kaj-Mikael Björk, Andrey Gritsenko, Stephen Baek, Amaury Lendasse
Incremental ELMVIS for unsupervised learning. CoRR (2019)
Anton Akusok, Emil Eirola
Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation. CoRR (2019)
Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning. CoRR (2019)
Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse
Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices. CoRR (2019)
Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Amaury Lendasse
Extreme Learning Tree. CoRR (2019)
Anton Akusok, Kaj-Mikael Björk, Leonardo Espinosa Leal, Yoan Miche, Renjie Hu, Amaury Lendasse
Spiking networks for improved cognitive abilities of edge computing devices. PETRA (2019)
Andrey Gritsenko, Anton Akusok, Stephen Baek, Yoan Miche, Amaury Lendasse
Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables. Cogn. Comput. 10 (3) (2018)
Leonardo Espinosa Leal, Kaj-Mikael Björk, Amaury Lendasse, Anton Akusok
A Web Page Classifier Library Based on Random Image Content Analysis Using Deep Learning. PETRA (2018)
Setareh Roshan, Yoan Miche, Anton Akusok, Amaury Lendasse
Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines. J. Frankl. Inst. 355 (4) (2018)
Renjie Hu, Venous Roshdibenam, Hans J. Johnson, Emil Eirola, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
ELM-SOM: A Continuous Self-Organizing Map for Visualization. IJCNN (2018)
Anton Akusok, Emil Eirola
Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation. ELM (2018)
Anton Akusok, Emil Eirola, Yoan Miché, Andrey Gritsenko, Amaury Lendasse
Advanced query strategies for Active Learning with Extreme Learning Machines. ESANN (2017)
Yoan Miche, Ian Oliver, Wei Ren, Silke Holtmanns, Anton Akusok, Amaury Lendasse
Practical Estimation of Mutual Information on Non-Euclidean Spaces. CD-MAKE (2017)
Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Yoan Miché, Hans J. Johnson, Amaury Lendasse
Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease. PETRA (2017)
Anton Akusok, Andrey Gritsenko, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse
Adding reliability to ELM forecasts by confidence intervals. Neurocomputing 219 (2017)
Andrey Gritsenko, Anton Akusok, Yoan Miché, Kaj-Mikael Björk, Stephen Baek, Amaury Lendasse
Combined nonlinear visualization and classification: ELMVIS++C. IJCNN (2016)
Yoan Miché, Ian Oliver, Silke Holtmanns, Aapo Kalliola, Anton Akusok, Amaury Lendasse, Kaj-Mikael Björk
Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data. CD-ARES (2016)
Maite Termenon, Manuel Graña, Alexandre Savio, Anton Akusok, Yoan Miche, Kaj-Mikael Björk, Amaury Lendasse
Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification. Neurocomputing 174 (2016)
Anton Akusok, Stephen Baek, Yoan Miché, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse
ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines. Neurocomputing 205 (2016)
Dusan Sovilj, Emil Eirola, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse
Extreme learning machine for missing data using multiple imputations. Neurocomputing 174 (2016)
Emil Eirola, Andrey Gritsenko, Anton Akusok, Kaj-Mikael Björk, Yoan Miche, Dusan Sovilj, Rui Nian, Bo He, Amaury Lendasse
Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models. IWANN (2) (2015)
Yoan Miché, Anton Akusok, David Veganzones, Kaj-Mikael Björk, Eric Séverin, Philippe du Jardin, Maite Termenon, Amaury Lendasse
SOM-ELM - Self-Organized Clustering using ELM. Neurocomputing 165 (2015)
C. Swaney, Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse
Efficient Skin Segmentation via Neural Networks: HP-ELM and BD-SOM. INNS Conference on Big Data (2015)
Anton Akusok, Yoan Miche, Juha Karhunen, Kaj-Mikael Björk, Rui Nian, Amaury Lendasse
Arbitrary Category Classification of Websites Based on Image Content. IEEE Comput. Intell. Mag. 10 (2) (2015)
Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse
High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications. IEEE Access 3 (2015)
Anton Akusok, David Veganzones, Yoan Miché, Kaj-Mikael Björk, Philippe du Jardin, Eric Séverin, Amaury Lendasse
MD-ELM: Originally Mislabeled Samples Detection using OP-ELM Model. Neurocomputing 159 (2015)
Anton Akusok, Yoan Miche, Jozsef Hegedus, Rui Nian, Amaury Lendasse
A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification. Cogn. Comput. 6 (3) (2014)
Anton Akusok, David Veganzones, Yoan Miché, Eric Séverin, Amaury Lendasse
Finding Originally Mislabels with MD-ELM. ESANN (2014)
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
Extreme Learning Machines. IEEE Intell. Syst. 28 (6) (2013)
Amaury Lendasse, Anton Akusok, Olli Simula, Francesco Corona, Mark van Heeswijk, Emil Eirola, Yoan Miche
Extreme Learning Machine: A Robust Modeling Technique? Yes! IWANN (1) (2013)
Yoan Miche, Tatiana Chistiakova, Anton Akusok, Amaury Lendasse, Rui Nian, Alberto Guillén
Fast variable selection for memetracker phrases time series prediction. PETRA (2012)