1. Feature Selection for Nonlinear Models using Extreme Learning Machines

Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen and Amaury Lendasse.
   In Neurocomputing. to appear, accepted for publication.

1. Regularized Extreme Learning Machine For Regression with Missing Data

Qi Yu, Yoan Miche, Emil Eirola, Mark van Heeswijk, Eric Séverin and Amaury Lendasse.
   In Neurocomputing. 2012, accepted for publishing.

6. Methodology for Behavioral-based Malware Analysis and Detection using Random Projections and K-Nearest Neighbors Classifiers

József Hegedüs, Yoan Miche, Alexander Ilin and Amaury Lendasse.
   In 7th International Conference on Computational Intelligence and Security (CIS2011). December, 2011.

5. Ensembles of Local Linear Models for Bankruptcy Analysis and Prediction

Laura Kainulainen, Yoan Miche, Emil Eirola, Qi Yu, Benoît Frénay, Eric Séverin and Amaury Lendasse.
   In Case Studies in Business, Industry and Government Statistics (CSBIGS), volume 4. November, 2011.

4. Random Projection Method for Scalable Malware Classification

József Hegedüs, Yoan Miche, Alexander Ilin and Amaury Lendasse.
   In 14th International Symposium on Recent Advances in Intrusion Detection. September, 2011.

3. Bankruptcy Prediction with Missing Data

Qi Yu, Yoan Miche, Eric Séverin and Amaury Lendasse.
   In Proceedings of the 2011 International Conference on Data Mining, pages 279-285. July, 2011.

2. GPU-Accelerated and Parallelized ELM Ensembles for Large-scale Regression

Mark van Heeswijk, Yoan Miche, Erkki Oja and Amaury Lendasse.
   In Neurocomputing, volume 74, pages 2430-2437. September, 2011.

1. TROP-ELM: a Double-Regularized ELM using LARS and Tikhonov Regularization

Yoan Miche, Mark van Heeswijk, Patrick Bas, Olli Simula and Amaury Lendasse.
   In Neurocomputing, volume 74, pages 2413-2421. September, 2011.

10. Developing Fast Machine Learning Techniques with Applications to Steganalysis Problems

Yoan Miche.
November, 2010.

9. Interpreting Extreme Learning Machine as an Approximation to an Infinite Neural Network

Elina Parviainen, Jaakko Riihimäki, Yoan Miche and Amaury Lendasse.
   In KDIR 2010: Proceedings of the International Conference on Knowledge Discovery and Information Retrieval . October, 2010.

8. Ensembles of Locally Linear Models: Application to Bankruptcy Prediction

Laura Kainulainen, Qi Yu, Yoan Miche, Emil Eirola, Eric Séverin and Amaury Lendasse.
   In Proceedings of the 2010 International Conference on Data Mining, pages 280--286. July, 2010.

7. Using Multiple Re-Embeddings For Quantitative Steganalysis and Image Reliability Estimation

Yoan Miche, Patrick Bas and Amaury Lendasse.
June, 2010.

6. Machine Learning Techniques Based on Random Projections

Yoan Miche, Benjamin Schrauwen and Amaury Lendasse.
   In ESANN2010: 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 295--302. April 28--30, 2010.

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

Yoan Miche, Emil Eirola, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse and Michel Verleysen.
   In ESANN2010: 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 19--24. April 28--30, 2010.

4. Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs

Mark van Heeswijk, Yoan Miche, Erkki Oja and Amaury Lendasse.
   In ESANN2010: 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 309--314. April 28--30, 2010.

3. OP-KNN: Method and Applications

Qi Yu, Yoan Miche, Antti Sorjamaa, Alberto Guillén, Amaury Lendasse and Eric Séverin.
   In Advances in Artificial Neural Systems, volume 2010, pages 6 pages. February, 2010.

2. OP-ELM: Optimally-Pruned Extreme Learning Machine

Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten and Amaury Lendasse.
   In IEEE Transactions on Neural Networks, volume 21, pages 158--162. January, 2010.

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

Dušan Sovilj, Antti Sorjamaa, Qi Yu, Yoan Miche and Eric Séverin.
   In Neurocomputing, volume 73, pages 1976-1986. June, 2010.

7. Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction

Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A.J. Hilbers, Timo Honkela, Erkki Oja and Amaury Lendasse.
   In ICANN 2009, Part II, volume 5769, pages 305-314. 2009.

6. Efficient Parallel Feature Selection for Steganography Problems

Alberto Guillén, Antti Sorjamaa, Yoan Miche, Amaury Lendasse and Ignacio Rojas.
   In LNCS - Bio-Inspired Systems: Computational and Ambient Intelligence – IWANN 2009, Part I, volume 5517/2009, pages 1224 – 1231. June, 2009.

5. Sparse linear combination of SOMs for data imputation: Application to financial database

Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin and Amaury Lendasse.
   In Lecture Notes in Computer Science: Advances in Self-Organizing Maps - Proceedings of WSOM 2009 International Workshop on Self-Organizing Maps, Saint Augustine (Florida), volume 5629/2009, pages 290--297. June 8-10, 2009.

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

Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet and Amaury Lendasse.
   In Proceedings of MASHS 2009, Modèles et Apprentissage en Sciences Humaines et Sociale, Lille (France). June 8-9, 2009.

3. A Faster Model Selection Criterion for OP-ELM and OP-KNN: Hannan-Quinn Criterion

Yoan Miche and Amaury Lendasse.
   In ESANN'09: European Symposium on Artificial Neural Networks, pages 177--182. April 22-24, 2009.

2. Reliable Steganalysis Using a Minimum Set of Samples and Features

Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten and Olli Simula.
   In EURASIP Journal on Information Security, volume 2009, pages 1--13 (Article ID 901381). March, 2009, http://www.hindawi.com/journals/is/2009/901381.html.

1. A Feature Selection Methodology for Steganalysis

Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten and Olli Simula.
   In Traitement du Signal, volume 26, pages 13--30. May, 2009, http://apps.isiknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=Q2CCC8GdiNg2eaCEBEH&page=1&doc=2.

7. Tabu Search with Delta Test for Time Series Prediction using OP-KNN

Dušan Sovilj, Antti Sorjamaa and Yoan Miche.
   In ESTSP, European Symposium on Time Series Prediction, pages 187-196. September 17-19, 2008.

6. A methodology for time series prediction in Finance

Qi Yu, Antti Sorjamaa, Yoan Miche and Eric Séverin.
   In ESTSP, European Symposium on Time Series Prediction, pages 285-293. September 17-19, 2008.

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

Qi Yu, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Alberto Guillén, Eric Séverin and Fernando Mateo.
   In Hybrid Intelligent Systems, 2008. Eighth International Conference on, pages 764-769. September, 2008.

4. OP-ELM: Theory, Experiments and a Toolbox

Yoan Miche, Antti Sorjamaa and Amaury Lendasse.
   In LNCS - Artificial Neural Networks - ICANN 2008 - Part I, volume 5163/2008, pages 145-154. September, 2008.

3. OP-KNN for Financial regression problems

Qi Yu, Antti Sorjamaa, Yoan Miche, Eric Séverin and Amaury Lendasse.
   In Mashs 08, Computational Methods for Modelling and learning in Social and Human Sciences, Creteil (France). June 5-6, 2008.

2. Long-Term Prediction of Time Series using NNE-based Projection and OP-ELM

Antti Sorjamaa, Yoan Miche, Robert Weiss and Amaury Lendasse.
   In IEEE World Conference on Computational Intelligence, pages 2675-2681. June, 2008.

1. A methodology for Building Regression Models using Extreme Learning Machine: OP-ELM

Yoan Miche, Patrick Bas, Christian Jutten, Olli Simula and Amaury Lendasse.
   In ESANN 2008, European Symposium on Artificial Neural Networks, Bruges, Belgium, pages 247--252. April 23-25, 2008.

3. Avantages de la Sélection de Caractéristiques pour la Stéganalyse

Yoan Miche, Patrick Bas, Amaury Lendasse, Olli Simula and Christian Jutten.
   In GRETSI 2007, Groupe de Recherche et d'Etudes du Traitement du Signal et des Images, Troyes, France. September 11-13, 2007.

2. Advantages of Using Feature Selection Techniques on Steganalysis Schemes

Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten and Olli Simula.
   In IWANN'07: International Work-Conference on Artificial Neural Networks, San Sebastian, Spain, volume 4507/2007, pages 606--613. June 20-22, 2007.

1. Extracting Relevant Features of Steganographic Schemes by Feature Selection Techniques

Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten and Olli Simula.
   In Wacha'07: Third Wavilla Challenge. June 14, 2007.

1. A Feature Selection Methodology for Steganalysis

Yoan Miche, Benoit Roue, Patrick Bas and Amaury Lendasse.
   In MRCS06, International Workshop on Multimedia Content Representation, Classification and Security, Istanbul (Turkey), volume 4105, pages 49-56. September 11-13, 2006.