Anton Akusok

发表

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

Amaury Lendasse, Yoan Miche, Kaj-Mikael Björk, 2016, Neurocomputing.

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

Amaury Lendasse, Kaj-Mikael Björk, Anton Akusok, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

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

Amaury Lendasse, Rui Nian, Anton Akusok, 2014, Cognitive Computation.

Mislabel Detection of Finnish Publication Ranks pdf

Tommi Kärkkäinen, Anton Akusok, Mirka Saarela, 2019, ArXiv.

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

Amaury Lendasse, Kaj-Mikael Björk, Anton Akusok, 2015, INNS Conference on Big Data.

Extreme learning machines: Novel extensions and application to big data

Anton Akusok, Anton Akusok, 2016 .

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

Amaury Lendasse, Kaj-Mikael Björk, Bo He, 2015, IWANN.

Distance Estimation for Incomplete Data by Extreme Learning Machine

Amaury Lendasse, Anton Akusok, Emil Eirola, 2017 .

Fast variable selection for memetracker phrases time series prediction

Alberto Guillén, Amaury Lendasse, Rui Nian, 2012, PETRA '12.

ELMVIS+: Improved Nonlinear Visualization Technique Using Cosine Distance and Extreme Learning Machines

Amaury Lendasse, Yoan Miche, Kaj-Mikael Björk, 2016 .

Extreme Learning Machines for Signature Verification

Amaury Lendasse, Anton Akusok, Kaj-Mikael Björk, 2019 .

Practical Estimation of Mutual Information on Non-Euclidean Spaces

Amaury Lendasse, Wei Ren, Anton Akusok, 2017, CD-MAKE.

SOM-ELM - Self-Organized Clustering using ELM

Amaury Lendasse, Kaj-Mikael Björk, Eric Séverin, 2015, Neurocomputing.

Scikit-ELM: An Extreme Learning Machine Toolbox for Dynamic and Scalable Learning

Amaury Lendasse, Anton Akusok, Kaj-Mikael Björk, 2019 .

Learning Flow Characteristics Distributions with ELM for Distributed Denial of Service Detection and Mitigation

Amaury Lendasse, Yoan Miche, Tuomas Aura, 2018 .

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

Amaury Lendasse, Anton Akusok, Stephen Baek, 2017, Cognitive Computation.

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

Amaury Lendasse, Kaj-Mikael Björk, Anton Akusok, 2017, PETRA.

High-Performance ELM for Memory Constrained Edge Computing Devices with Metal Performance Shaders

Amaury Lendasse, Anton Akusok, Kaj-Mikael Björk, 2019 .

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

Amaury Lendasse, Kaj-Mikael Björk, Anton Akusok, 2018, PETRA.

Extreme Learning Tree pdf

Amaury Lendasse, Anton Akusok, Emil Eirola, 2017, Proceedings in Adaptation, Learning and Optimization.

Extreme Learning Machine: A Robust Modeling Technique? Yes!

Amaury Lendasse, Olli Simula, Anton Akusok, 2013, IWANN.

Spiking networks for improved cognitive abilities of edge computing devices

Amaury Lendasse, Kaj-Mikael Björk, Anton Akusok, 2019, PETRA.

Finding Originally Mislabels with MD-ELM

Amaury Lendasse, Eric Séverin, Anton Akusok, 2014, ESANN.

Incremental ELMVIS for unsupervised learning pdf

Amaury Lendasse, Anton Akusok, Stephen Baek, 2019, ArXiv.

Investigating Feasibility of Active Learning with Image Content on Mobile Devices Using ELM

Amaury Lendasse, Anton Akusok, 2019 .

ELM Clustering – Application to Bankruptcy Prediction

Amaury Lendasse, Yoan Miche, Eric Séverin, 2014 .

Website Classification from Webpage Renders

Amaury Lendasse, Anton Akusok, Kaj-Mikael Björk, 2019 .

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

Amaury Lendasse, Kaj-Mikael Björk, Anton Akusok, 2015, IEEE Access.

Extreme learning machine for missing data using multiple imputations

Amaury Lendasse, Yoan Miche, Kaj-Mikael Björk, 2016, Neurocomputing.

Extreme Learning Machines [Trends & Controversies]

Victor C. M. Leung, Qiang Liu, Jianping Yin, 2013, IEEE Intelligent Systems.

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

Amaury Lendasse, Kaj-Mikael Björk, Anton Akusok, 2016, CD-ARES.

Adding reliability to ELM forecasts by confidence intervals

Amaury Lendasse, Kaj-Mikael Björk, Rui Nian, 2017, Neurocomputing.

Combined nonlinear visualization and classification: ELMVIS++C

Amaury Lendasse, Kaj-Mikael Björk, Anton Akusok, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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

Amaury Lendasse, Kaj-Mikael Björk, Eric Séverin, 2015, Neurocomputing.

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

Anton Akusok, Emil Eirola, Emil Eirola, 2018, ELM.

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

Amaury Lendasse, Anton Akusok, Yoan Miché, 2017, J. Frankl. Inst..

On Mutual Information over Non-Euclidean Spaces, Data Mining and Data Privacy Levels

Amaury Lendasse, Yoan Miche, Kaj-Mikael Björk, 2016 .

Advanced query strategies for Active Learning with Extreme Learning Machines

Amaury Lendasse, Anton Akusok, Emil Eirola, 2017, ESANN.

Arbitrary Category Classification of Websites Based on Image Content

Juha Karhunen, Amaury Lendasse, Kaj-Mikael Björk, 2015, IEEE Computational Intelligence Magazine.

Image-based Classification of Websites

Amaury Lendasse, Yoan Miche, Anton Akusok, 2013 .

ELMVIS: a Nonlinear Visualization Technique using Random Permutations and Extreme Learning Machine

Amaury Lendasse, Yoan Miche, Rui Nian, 2013 .

ELMVIS: A nonlinear visualization technique using random permutations and ELMs

Amaury Lendasse, Yoan Miche, Rui Nian, 2013 .

Per-sample prediction intervals for extreme learning machines

Amaury Lendasse, Kaj-Mikael Björk, Anton Akusok, 2018, International Journal of Machine Learning and Cybernetics.

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

Amaury Lendasse, Manuel Graña, Kaj-Mikael Björk, 2016, Neurocomputing.

Practical Estimation of Missing Phosphorus Values in Pyhäjärvi Lake Data

Amaury Lendasse, Anton Akusok, Alexander Grigorievskiy, 2013 .

Validating Untrained Human Annotations Using Extreme Learning Machines

Amaury Lendasse, Anton Akusok, Kaj-Mikael Björk, 2019 .

Handwriting features based detection of fake signatures

Amaury Lendasse, Kaj-Mikael Björk, Anton Akusok, 2021, PETRA.

Predicting Huntington’s Disease: Extreme Learning Machine with Missing Values

Amaury Lendasse, Kaj-Mikael Björk, Anton Akusok, 2018 .