Fast variable selection for memetracker phrases time series prediction. - Yoan Miche; Tatiana Chistiakova; Anton Akusok; Amaury Lendasse; Rui Nian; Alberto Guillén (PETRA, 2012)

Extreme Learning Machine: A Robust Modeling Technique? Yes! - Amaury Lendasse; Anton Akusok; Olli Simula; Francesco Corona; Mark van Heeswijk; Emil Eirola; Yoan Miche (IWANN (1), 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 004; Kuan Li; Victor C. M. Leung; Liang Feng 001; et al. (IEEE Intell. Syst., 2013)

Finding Originally Mislabels with MD-ELM. - Anton Akusok; David Veganzones; Yoan Miché; Eric Séverin; Amaury Lendasse (ESANN, 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)

Efficient Skin Segmentation via Neural Networks: HP-ELM and BD-SOM. - C. Swaney; Anton Akusok; Kaj-Mikael Björk; Yoan Miché; Amaury Lendasse (INNS Conference on Big Data, 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 002; Amaury Lendasse (IWANN (2), 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)

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)

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)

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)

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 (CD-ARES, 2016)

Combined nonlinear visualization and classification: ELMVIS++C. - Andrey Gritsenko; Anton Akusok; Yoan Miché; Kaj-Mikael Björk; Stephen Baek; Amaury Lendasse (IJCNN, 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)

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)

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)

Practical Estimation of Mutual Information on Non-Euclidean Spaces. - Yoan Miche; Ian Oliver; Wei Ren; Silke Holtmanns; Anton Akusok; Amaury Lendasse (CD-MAKE, 2017)

Advanced query strategies for Active Learning with Extreme Learning Machines. - Anton Akusok; Emil Eirola; Yoan Miché; Andrey Gritsenko; Amaury Lendasse (ESANN, 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 (PETRA, 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)

Comparison of Classification Methods for Very High-Dimensional Data in Sparse Random Projection Representation. - Anton Akusok; Emil Eirola (ELM, 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 (IJCNN, 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 (PETRA, 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)

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)

Spiking networks for improved cognitive abilities of edge computing devices. - Anton Akusok; Kaj-Mikael Björk; Leonardo Espinosa Leal; Yoan Miche; Renjie Hu; Amaury Lendasse (PETRA, 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)

Extreme Learning Tree. - Anton Akusok; Emil Eirola; Kaj-Mikael Björk; Amaury Lendasse (CoRR, 2019)

Mislabel Detection of Finnish Publication Ranks. - Anton Akusok; Mirka Saarela; Tommi Kärkkäinen; Kaj-Mikael Björk; Amaury Lendasse (CoRR, 2019)

Per-sample prediction intervals for extreme learning machines. - Anton Akusok; Yoan Miche; Kaj-Mikael Björk; Amaury Lendasse (Int. J. Mach. Learn. Cybern., 2019)

Handwriting features based detection of fake signatures. - Anton Akusok; Leonardo Espinosa Leal; Kaj-Mikael Björk; Amaury Lendasse; Renjie Hu (PETRA, 2021)

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 (IWANN (1), 2023)

Native interaction experience for computational maps with mobile devices. - Anton Akusok; Leonardo Espinosa Leal; Kaj-Mikael Björk; Renjie Hu (PETRA, 2023)

Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine. - Anton Akusok; Leonardo Espinosa Leal; Kaj-Mikael Björk (PETRA, 2024)

Private linear equation solving: An application to federated learning and extreme learning machines. - Daniel Heinlein; Anton Akusok; Kaj-Mikael Björk; Leonardo Espinosa-Leal (J. Comput. Sci., 2025)