to appear |
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44 | Benoît Frénay, Mark van Heeswijk, Yoan Miche, Michel Verleysen, and Amaury Lendasse. Feature selection for nonlinear models using extreme learning machines. Neurocomputing, to appear. accepted for publication. |
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43 | Qi Yu, Yoan Miche, Emil Eirola, Mark van Heeswijk, Eric Séverin, and Amaury Lendasse. Regularized extreme learning machine for regression with missing data. Neurocomputing, NA(NA):NA, to appear. accepted for publishing. |
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42 | Mark van Heeswijk, Qi Yu, Rui Nian, Bo He, Yoan Miche, and Amaury Lendasse. BIP(CV)-ELM: Effective and adaptive pretraining method for extreme learning machines. The International Symposium on Extreme Learning Machines (ELM2012), NA(NA):NA, to appear. |
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41 | Yoan Miche, Meng-Hiot Lim, Rizky Medzseva, and Amaury Lendasse. Meme representations for game agents. World Wide Web - Internet and Web Information System, NA(NA):NA, to appear. Special Issue of ELM2012 Conference, accepted for publication. |
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40 | Yoan Miche, Anton Akusok, József Hegedüs, Rui Nian, and Amaury Lendasse. A two-stage methodology using k-NN and false positive minimizing ELM for nominal data classification. Cognitive Computation, NA(NA):NA, to appear. Special Issue of ELM2012 Conference, accepted for publication. |
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39 | Alexander Grigorievskiy, Yoan Miche, Anne-Mari Ventelä, and Amaury Lendasse. Long-term time series prediction using OP-ELM. Cognitive Computation, NA(NA):NA, to appear. Special Issue of ELM2012 Conference, accepted for publication. |
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38 | Qi Yu, Mark van Heeswijk, Yoan Miche, Rui Nian, Bo He, Eric Séverin, and Amaury Lendasse. Ensemble delta test- extreme learning machine (DT-ELM) for regression. Cognitive Computation, NA(NA):NA, to appear. Special Issue of ELM2012 Conference, accepted for publication. |
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37 | Rui Nian, Bo He, Bing Zheng, Mark van Heeswijk, Qi Yu, Yoan Miche, and Amaury Lendasse. Extreme learning machine towards dynamic model hypothesis in fish ethology research. Neurocomputing, NA(NA):NA, to appear. Special Issue of ELM2012 Conference, accepted for publication. |
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36 | Bo He, Dongxun Xu, Rui Nian, Mark van Heeswijk, Qi Yu, Yoan Miche, and Amaury Lendasse. Fast face recognition via sparse coding and extreme learning machine. Cognitive Computation, NA(NA):NA, to appear. Special Issue of ELM2012 Conference, accepted for publication. |
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35 | Qi Yu, Yoan Miche, Eric Séverin, and Amaury Lendasse. Bankruptcy prediction using extreme learning machine and financial expertise. Neurocomputing, NA(NA):NA, to appear. Special Issue of ELM2012 Conference, accepted for publication. |
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2011 |
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34 | József Hegedüs, Yoan Miche, Alexander Ilin, and Amaury Lendasse. Methodology for behavioral-based malware analysis and detection using random projections and k-nearest neighbors classifiers. In 7th International Conference on Computational Intelligence and Security (CIS2011), Sanya, China, December 2011. |
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33 | Laura Kainulainen, Yoan Miche, Emil Eirola, Qi Yu, Benoît Frénay, Eric Séverin, and Amaury Lendasse. Ensembles of local linear models for bankruptcy analysis and prediction. Case Studies in Business, Industry and Government Statistics (CSBIGS), 4(2), November 2011. |
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32 | Mark van Heeswijk, Yoan Miche, Erkki Oja, and Amaury Lendasse. GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing, 74(16):2430–2437, September 2011. |
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31 | Yoan Miche, Mark van Heeswijk, Patrick Bas, Olli Simula, and Amaury Lendasse. TROP-ELM: a double-regularized ELM using LARS and tikhonov regularization. Neurocomputing, 74(16):2413–2421, September 2011. |
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30 | József Hegedüs, Yoan Miche, Alexander Ilin, and Amaury Lendasse. Random projection method for scalable malware classification. In 14th International Symposium on Recent Advances in Intrusion Detection, California, USA, September 2011. |
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29 | Qi Yu, Yoan Miche, Eric Séverin, and Amaury Lendasse. Bankruptcy prediction with missing data. In Proceedings of the 2011 International Conference on Data Mining, pages 279–285, USA, July 2011. |
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2010 |
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28 | Yoan Miche. Developing Fast Machine Learning Techniques with Applications to Steganalysis Problems. PhD thesis, Aalto University School of Science and Technology (Espoo, Finland) and INPG (Grenoble, France), November 2010. |
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27 | Elina Parviainen, Jaakko Riihimäki, Yoan Miche, and Amaury Lendasse. Interpreting extreme learning machine as an approximation to an infinite neural network. In KDIR 2010: Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Valencia, Spain, October 2010. |
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26 | Laura Kainulainen, Qi Yu, Yoan Miche, Emil Eirola, Eric Séverin, and Amaury Lendasse. Ensembles of locally linear models: Application to bankruptcy prediction. In Robert Stahlbock and Sven F. Crone, editors, Proceedings of the 2010 International Conference on Data Mining, pages 280–286. Worldcomp10, July 2010. |
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25 | DuÅ¡an Sovilj, Antti Sorjamaa, Qi Yu, Yoan Miche, and Eric Séverin. OPELM and OPKNN in long-term prediction of time series using projected input data. Neurocomputing, 73(10-12):1976–1986, June 2010. |
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24 | Yoan Miche, Patrick Bas, and Amaury Lendasse. Using multiple re-embeddings for quantitative steganalysis and image reliability estimation. Technical Report TKK-ICS-R34, Aalto University School of Science and Technology, Aalto, Finland, June 2010. |
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23 | Yoan Miche, Benjamin Schrauwen, and Amaury Lendasse. Machine learning techniques based on random projections. In Michel Verleysen, editor, ESANN2010: 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 295–302, Bruges, Belgium, April 28–30 2010. d-side Publications. |
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22 | Yoan Miche, Emil Eirola, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse, and Michel Verleysen. Ensemble modeling with a constrained linear system of leave-one-out outputs. In Michel Verleysen, editor, ESANN2010: 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 19–24, Bruges, Belgium, April 28–30 2010. d-side Publications. |
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21 | Mark van Heeswijk, Yoan Miche, Erkki Oja, and Amaury Lendasse. Solving large regression problems using an ensemble of GPU-accelerated ELMs. In Michel Verleysen, editor, ESANN2010: 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pages 309–314, Bruges, Belgium, April 28–30 2010. d-side Publications. |
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20 | Qi Yu, Yoan Miche, Antti Sorjamaa, Alberto Guillén, Amaury Lendasse, and Eric Séverin. OP-KNN: Method and applications. Advances in Artificial Neural Systems, 2010(597373):6 pages, February 2010. |
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19 | Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, and Amaury Lendasse. OP-ELM: Optimally-pruned extreme learning machine. IEEE Transactions on Neural Networks, 21(1):158–162, January 2010. |
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2009 |
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18 | Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin, and Amaury Lendasse. Sparse linear combination of SOMs for data imputation: Application to financial database. In Risto Principe, J.C.; Miikkulainen, editor, 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 of Lecture Notes in Computer Science, pages 290–297. Springer Berlin / Heidelberg, June 8-10 2009. |
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17 | Alberto Guillén, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, and Ignacio Rojas. Efficient parallel feature selection for steganography problems. In J. Cabestany, F. Sandoval A. Prieto, and J.M. Corchado, editors, LNCS - Bio-Inspired Systems: Computational and Ambient Intelligence – IWANN 2009, Part I, volume 5517/2009 of Lecture Notes in Computer Science, page 1224 – 1231. IWANN, Springer Berlin / Heidelberg, June 2009. |
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16 | Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, and Amaury Lendasse. Linear combination of SOMs for data imputation: Application to financial problems. In Proceedings of MASHS 2009, Modèles et Apprentissage en Sciences Humaines et Sociale, Lille (France). MASHS, June 8-9 2009. |
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15 | Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, and Olli Simula. A feature selection methodology for steganalysis. Traitement du Signal, 26(1):13–30, May 2009. http://apps.isiknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=Q2CCC8GdiNg2eaCEBEH&page=1&doc=2. |
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14 | Yoan Miche and Amaury Lendasse. A faster model selection criterion for OP-ELM and OP-KNN: Hannan-quinn criterion. In Michel Verleysen, editor, ESANN'09: European Symposium on Artificial Neural Networks, pages 177–182. d-side publications, April 22-24 2009. |
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13 | Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, and Olli Simula. Reliable steganalysis using a minimum set of samples and features. EURASIP Journal on Information Security, 2009(1):1–13 (Article ID 901381), March 2009. http://www.hindawi.com/journals/is/2009/901381.html. |
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12 | Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A.J. Hilbers, Timo Honkela, Erkki Oja, and Amaury Lendasse. Adaptive ensemble models of extreme learning machines for time series prediction. In Cesare Alippi, Marios M. Polycarpou, Christos G. Panayiotou, and Georgios Ellinas, editors, ICANN 2009, Part II, volume 5769 of LNCS, pages 305–314, Heidelberg, 2009. Springer. |
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2008 |
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11 | Qi Yu, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Alberto Guillén, Eric Séverin, and Fernando Mateo. Optimal pruned k-nearest neighbors: OP-KNN - application to financial modeling. In Fatos Xhafa, Francisco Herrera, Ajith Abraham, Mario Köppen, and Jose Manuel Bénitez, editors, Hybrid Intelligent Systems, 2008. Eighth International Conference on, pages 764–769, Barcelona, Spain, September 2008. |
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10 | Yoan Miche, Antti Sorjamaa, and Amaury Lendasse. OP-ELM: Theory, experiments and a toolbox. In Roman Neruda Vera Kurková and Jan Koutník, editors, LNCS - Artificial Neural Networks - ICANN 2008 - Part I, volume 5163/2008 of Lecture Notes in Computer Science, pages 145–154. Springer Berlin / Heidelberg, September 2008. |
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9 | DuÅ¡an Sovilj, Antti Sorjamaa, and Yoan Miche. Tabu search with delta test for time series prediction using OP-KNN. In Amaury Lendasse, editor, ESTSP, European Symposium on Time Series Prediction, pages 187–196, Porvoo, Finland, September 17-19 2008. Multiprint Oy / Otamedia , Espoo, Finland. |
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8 | Qi Yu, Antti Sorjamaa, Yoan Miche, and Eric Séverin. A methodology for time series prediction in finance. In Amaury Lendasse, editor, ESTSP, European Symposium on Time Series Prediction, pages 285–293, Porvoo, Finland, September 17-19 2008. Multiprint Oy / Otamedia , Espoo, Finland. |
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7 | Antti Sorjamaa, Yoan Miche, Robert Weiss, and Amaury Lendasse. Long-term prediction of time series using NNE-based projection and OP-ELM. In IEEE World Conference on Computational Intelligence, pages 2675–2681, Hong Kong, June 2008. Research Publishing Services, Chennai, India. |
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6 | Qi Yu, Antti Sorjamaa, Yoan Miche, Eric Séverin, and Amaury Lendasse. OP-KNN for financial regression problems. In Mashs 08, Computational Methods for Modelling and learning in Social and Human Sciences, Creteil (France), June 5-6 2008. |
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5 | Yoan Miche, Patrick Bas, Christian Jutten, Olli Simula, and Amaury Lendasse. A methodology for building regression models using extreme learning machine: OP-ELM. In M. Verleysen, editor, ESANN 2008, European Symposium on Artificial Neural Networks, Bruges, Belgium, pages 247–252. d-side publ. (Evere, Belgium), April 23-25 2008. |
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2007 |
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4 | Yoan Miche, Patrick Bas, Amaury Lendasse, Olli Simula, and Christian Jutten. Avantages de la sélection de caractéristiques pour la stéganalyse. In GRETSI 2007, Groupe de Recherche et d'Etudes du Traitement du Signal et des Images, Troyes, France, Troyes, France, September 11-13 2007. |
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3 | Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, and Olli Simula. Advantages of using feature selection techniques on steganalysis schemes. In Francisco Sandoval et al., editor, IWANN'07: International Work-Conference on Artificial Neural Networks, San Sebastian, Spain, volume 4507/2007 of Lecture Notes in Computer Science, pages 606–613. Springer Berlin / Heidelberg, June 20-22 2007. |
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2 | Yoan Miche, Patrick Bas, Amaury Lendasse, Christian Jutten, and Olli Simula. Extracting relevant features of steganographic schemes by feature selection techniques. In Wacha'07: Third Wavilla Challenge, Saint-Malo, France, June 14 2007. |
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2006 |
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1 | Yoan Miche, Benoit Roue, Patrick Bas, and Amaury Lendasse. A feature selection methodology for steganalysis. In B. Gunsel, A. K. Jain, A. M. Tekalp, and B. Sankur, editors, MRCS06, International Workshop on Multimedia Content Representation, Classification and Security, Istanbul (Turkey), volume 4105 of Lecture Notes in Computer Science, pages 49–56. Springer-Verlag, September 11-13 2006. |
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