Eric Séverin

发表

Variable Selection for Financial Modeling

Amaury Lendasse, Qi Yu, Eric Séverin, 2007 .

Self organizing maps in corporate finance: Quantitative and qualitative analysis of debt and leasing

Eric Séverin, E. Séverin, 2010, Neurocomputing.

SOM-ELM - Self-Organized Clustering using ELM

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

Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time

Eric Séverin, Philippe du Jardin, E. Séverin, 2012, Eur. J. Oper. Res..

Regularized extreme learning machine for regression with missing data

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

Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model

Eric Séverin, Philippe du Jardin, E. Séverin, 2011, Decis. Support Syst..

Linear combination of SOMs for data imputation: Application to financial problems

Amaury Lendasse, Yoan Miche, Eric Séverin, 2009 .

Optimal Pruned K-Nearest Neighbors: OP-KNN Application to Financial Modeling

Alberto Guillén, Amaury Lendasse, Eric Séverin, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

A methodology for time series prediction in Finance

Yoan Miche, Qi Yu, Eric Séverin, 2008 .

Finding Originally Mislabels with MD-ELM

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

ELM Clustering – Application to Bankruptcy Prediction

Amaury Lendasse, Yoan Miche, Eric Séverin, 2014 .

OPELM and OPKNN in long-term prediction of time series using projected input data

Eric Séverin, Qi Yu, Antti Sorjamaa, 2010, Neurocomputing.

Ensembles of Locally Linear Models: Application to Bankruptcy Prediction

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

Ensembles of Local Linear Models for Bankruptcy Analysis and Prediction

Benoît Frénay, Amaury Lendasse, Yoan Miche, 2011 .

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

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

Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database

Amaury Lendasse, Eric Séverin, Antti Sorjamaa, 2009, WSOM.

An investigation of bankruptcy prediction in imbalanced datasets

Eric Séverin, David Veganzones, E. Séverin, 2018, Decis. Support Syst..

Ensemble classifiers for bankruptcy prediction

Amaury Lendasse, Yoan Miche, Qi Yu, 2010 .

Bankruptcy Prediction with Missing Data

Amaury Lendasse, Yoan Miche, Eric Séverin, 2011 .

OP-KNN: Method and Applications

Alberto Guillén, Amaury Lendasse, Eric Séverin, 2010, Adv. Artif. Neural Syst..

Corporate failure prediction models in the twenty-first century: a review

Eric Séverin, David Veganzones, E. Séverin, 2020 .

Forecasting nancial failure using a Kohonen map: A comparative study to improve model stability over time

Eric Séverin, Philippe du Jardin, E. Séverin, 2012 .

Bankruptcy prediction using Extreme Learning Machine and financial expertise

Amaury Lendasse, Eric Séverin, Qi Yu, 2014, Neurocomputing.

Ensemble delta test-extreme learning machine (DT-ELM) for regression

Amaury Lendasse, Eric Séverin, Bo He, 2014, Neurocomputing.

Long-term time series prediction using OP-ELM

Amaury Lendasse, Eric Séverin, Yoan Miché, 2014, Neural Networks.

OP-KNN for financial regression problems

Yoan Miche, Eric Séverin, Antti Sorjamaa, 2008 .

Can earnings management information improve bankruptcy prediction models?

Eric Séverin, David Veganzones, E. Séverin, 2021, Annals of Operations Research.

Ensemble KNNs for Bankruptcy Prediction

Amaury Lendasse, Eric Séverin, A. Lendasse, 2009 .

A Global Methodology for Variable Selection Application to Financial Modeling

Amaury Lendasse, Eric Séverin, Qi Yu, 2007 .

Dynamic analysis of the business failure process: A study of bankruptcy trajectories

Eric Séverin, Philippe du Jardin, E. Séverin, 2010 .