Emil Eirola

发表

Time series prediction 197 17 . 2 European Symposium on Time Series Prediction

O. Simula, Y. Miché, M. V. Heeswijk, 2012 .

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

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

Ensemble classifiers for bankruptcy prediction

Amaury Lendasse, Yoan Miche, Qi Yu, 2010 .

Improved Naive Bayes Classifier for Android Malware Classification

J. Karhunen, Y. Miché, A. Lendasse, 2015 .

Utilizing the infodemiology approach to study temporal patterns and variations

Emil Eirola, Jonas Tana, 2019 .

The aspect of time in online health information behaviour

Emil Eirola, Jonas Tana, K. Eriksson-Backa, 2019, Informaatiotutkimus.

Forecasting the Outbursts of the Photometry Light Curve of Star V363 Lyr

A. Grigorievskiy, A. Lendasse, Emil Eirola, 2014 .

14th IEEE international conference on Trust, Security, and Privacy in Computing and Communications (TrustCom), Helsinki, Finland, August 20-22, 2015

Juha Karhunen, Amaury Lendasse, Yoan Miche, 2015 .

Chapter 16 Time series prediction

O. Simula, Y. Miché, A. Lendasse, 2008 .

Extreme learning machine for missing data using multiple imputations

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

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

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

Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation

Amaury Lendasse, Emil Eirola, A. Lendasse, 2013, IDA.

Machine learning methods for incomplete data and variable selection

Emil Eirola, Emil Eirola, 2014 .

Distance estimation in numerical data sets with missing values

Michel Verleysen, Amaury Lendasse, Emil Eirola, 2013, Inf. Sci..

Extreme Learning Machine: A Robust Modeling Technique? Yes!

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

When is prime-time in streaming media platforms and video-on-demands services? New media consumption patterns and real-time economy

Jonas Tana, Emil Eirola, Mats Nylund, 2019, European Journal of Communication.

Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes

Juha Karhunen, Amaury Lendasse, Emil Eirola, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Incremental ELMVIS for unsupervised learning pdf

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

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

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

Rhythmicity of health information behaviour

Jonas Tana, Emil Eirola, Kristina Eriksson-Backa, 2019, Aslib J. Inf. Manag..

Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data

Jyrki Kettunen, Emil Eirola, Heikki Paakkonen, 2018, JMIR mental health.

Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs

Amaury Lendasse, Emil Eirola, Andrey Gritsenko, 2017, HAIS.

Regularized extreme learning machine for regression with missing data

Amaury Lendasse, Eric Séverin, Qi Yu, 2013, Neurocomputing.

Variable selection for regression problems using Gaussian mixture models to estimate mutual information

Juha Karhunen, Amaury Lendasse, Emil Eirola, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Probabilistic Methods for Multiclass Classification Problems

Amaury Lendasse, Emil Eirola, Edward Ratner, 2016 .

Advanced query strategies for Active Learning with Extreme Learning Machines

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

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

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

A pragmatic android malware detection procedure

Juha Karhunen, Emil Eirola, Luiza Sayfullina, 2017, Comput. Secur..

Mixture of Gaussians for distance estimation with missing data

Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki, 2014, Neurocomputing.

The delta test: The 1-NN estimator as a feature selection criterion

Michel Verleysen, Amaury Lendasse, Francesco Corona, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Eirola Variable Selection with the Delta Test in Theory and Practice

Emil Eirola, Emil, Amaury Docent, 2009 .

Ensembles of Local Linear Models for Bankruptcy Analysis and Prediction

Benoît Frénay, Amaury Lendasse, Yoan Miche, 2011 .

Ensembles of Locally Linear Models: Application to Bankruptcy Prediction

Amaury Lendasse, Eric Séverin, Qi Yu, 2010, DMIN.

Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs

Michel Verleysen, Amaury Lendasse, Olli Simula, 2010, ESANN.

Extreme Learning Tree pdf

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

A new application of machine learning in health care

Amaury Lendasse, Kaj-Mikael Björk, Emil Eirola, 2016, PETRA.