Emil Eirola

Publication Activity (10 Years)

Years Active: 2008-2019
Publications (10 Years): 13

Top Topics

Gaussian Mixture

Distance Estimation

Top Venues

Publications

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)
Jonas Tana, Emil Eirola, Kristina Eriksson-Backa
Rhythmicity of health information behaviour. Aslib J. Inf. Manag. 71 (6) (2019)
Anton Akusok, Emil Eirola, Kaj-Mikael Björk, Amaury Lendasse
Extreme Learning Tree. CoRR (2019)
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)
Andrey Gritsenko, Emil Eirola, Daniel Schupp, Edward R. Ratner, Amaury Lendasse
Solve Classification Tasks with Probabilities. Statistically-Modeled Outputs. HAIS (2017)
Anton Akusok, Emil Eirola, Yoan Miché, Andrey Gritsenko, Amaury Lendasse
Advanced query strategies for Active Learning with Extreme Learning Machines. ESANN (2017)
Paolo Palumbo, Luiza Sayfullina, Dmitriy Komashinskiy, Emil Eirola, Juha Karhunen
A pragmatic android malware detection procedure. Comput. Secur. 70 (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)
Kaj-Mikael Björk, Emil Eirola, Yoan Miché, Amaury Lendasse
A new application of machine learning in health care. PETRA (2016)
Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Juha Karhunen
Android Malware Detection: Building Useful Representations. ICMLA (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)
Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Yoan Miché, Amaury Lendasse, Juha Karhunen
Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes. TrustCom/BigDataSE/ISPA (1) (2015)
Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki
Mixture of Gaussians for distance estimation with missing data. Neurocomputing 131 (2014)
Emil Eirola, Amaury Lendasse, Francesco Corona, Michel Verleysen
The delta test: The 1-NN estimator as a feature selection criterion. IJCNN (2014)
Emil Eirola, Amaury Lendasse, Juha Karhunen
Variable selection for regression problems using Gaussian mixture models to estimate mutual information. IJCNN (2014)
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)
Qi Yu, Yoan Miche, Emil Eirola, Mark van Heeswijk, Eric Séverin, Amaury Lendasse
Regularized extreme learning machine for regression with missing data. Neurocomputing 102 (2013)
Emil Eirola, Amaury Lendasse
Gaussian Mixture Models for Time Series Modelling, Forecasting, and Interpolation. IDA (2013)
Emil Eirola, Gauthier Doquire, Michel Verleysen, Amaury Lendasse
Distance estimation in numerical data sets with missing values. Inf. Sci. 240 (2013)
Yoan Miche, Emil Eirola, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse, Michel Verleysen
Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs. ESANN (2010)
Laura Kainulainen, Qi Yu, Yoan Miche, Emil Eirola, Eric Séverin, Amaury Lendasse
Ensembles of Locally Linear Models: Application to Bankruptcy Prediction. DMIN (2010)
Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen
Using the Delta Test for Variable Selection. ESANN (2008)