I am a post-doctoral researcher in the Statistical Machine Learning and Bioinformatics group of the Department of Information and Computer Science of the Aalto University School of Science and the Helsinki Institute for Information Technology.

Address: Aalto University School of Science Department of Information and Computer Science P.O. Box 15400, FI-00076 Aalto, Finland Office: Room A320, Konemiehentie 2, Espoo Phone: +358-50-4300699 Email: name.surname@aalto.fi

• Support Vector Machines, Kernel Machines, Multiple Kernel Learning
• Feature Selection, Dimensionality Reduction, Latent Variable Models
• Bayesian Methods, Graphical Models, Monte-Carlo Methods
• Convex Optimization, Optimization for Machine Learning
• Computer Vision and Computational Biology Applications

• M. Gönen and E. Alpaydın. Localized Algorithms for Multiple Kernel Learning, Pattern Recognition, 46(3):795-807, 2013.
• M. Gönen, S. A. Khan, and S. Kaski. Kernelized Bayesian Matrix Factorization, In Proceedings of the 30th International Conference on Machine Learning (ICML 2013), Atlanta, Georgia, USA, 2013.

• M. Gönen. Predicting Drug–Target Interactions from Chemical and Genomic Kernels Using Bayesian Matrix Factorization, Bioinformatics, 28(18):2304-2310, 2012.
• G. Bozkurt Gönen, M. Gönen, and F. Gürgen. Probabilistic and Discriminative Group-Wise Feature Selection Methods for Credit Risk Analysis, Expert Systems with Applications, 39(14):11709-11717, 2012.
• M. Gönen. A Bayesian Multiple Kernel Learning Framework for Single and Multiple Output Regression, In Proceedings of the 20th European Conference on Artificial Intelligence (ECAI 2012), Montpellier, France, 2012.
• M. Gönen. Bayesian Efficient Multiple Kernel Learning, In Proceedings of the 29th International Conference on Machine Learning (ICML 2012), Edinburgh, Scotland, UK, 2012.
• M. Gönen. Bayesian Supervised Multilabel Learning with Coupled Embedding and Classification, In Proceedings of the 12th SIAM International Conference on Data Mining (SDM 2012), Anaheim, California, USA, 2012.
• A. Ulaş, M. Gönen, U. Castellani, V. Murino, M. Bellani, M. Tansella, and P. Brambilla. A Localized MKL Method for Brain Classification with Known Intra-Class Variability, In Proceedings of the 3rd International Workshop on Machine Learning in Medical Imaging, Nice, France, 2012.

• M. Gönen and E. Alpaydın. Multiple Kernel Learning Algorithms, Journal of Machine Learning Research, 12(Jul):2211-2268, 2011.
• M. Gönen and E. Alpaydın. Regularizing Multiple Kernel Learning Using Response Surface Methodology, Pattern Recognition, 44(1):159-171, 2011.
• M. Gönen, M. Kandemir, and S. Kaski. Multitask Learning Using Regularized Multiple Kernel Learning, In Proceedings of the 18th International Conference on Neural Information Processing (ICONIP 2011), Shanghai, China, 2011.
• M. Gönen, A. Ulaş, P. J. Schüffler, U. Castellani, and V. Murino. Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma, In Proceedings of the 1st International Workshop on Similarity-Based Pattern Analysis and Recognition, Venice, Italy, 2011.

• M. Gönen and E. Alpaydın. Supervised Learning of Local Projection Kernels, Neurocomputing, 73(10-12):1694-1703, 2010.
• M. Gönen and E. Alpaydın. Cost-Conscious Multiple Kernel Learning, Pattern Recognition Letters, 31(9):959-965, 2010.
• M. Gönen and E. Alpaydın. Localized Multiple Kernel Regression, In Proceedings of the 20th IAPR International Conference on Pattern Recognition (ICPR 2010), İstanbul, Turkey, 2010.
• M. Gönen and E. Alpaydın. Supervised and Localized Dimensionality Reduction from Multiple Feature Representations or Kernels, NIPS Workshop on New Directions in Multiple Kernel Learning, Whistler, British Columbia, Canada, 2010.

• A. Özen, M. Gönen, E. Alpaydın, and T. Haliloğlu. Machine Learning Integration for Predicting the Effect of Single Amino Acid Substitutions on Protein Stability, BMC Structural Biology, 9:66, 2009.
• M. Gönen and E. Alpaydın. Multiple Kernel Machines Using Localized Kernels, In Supplementary Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2009), Sheffield, England, 2009.
• M. Gönen and E. Alpaydın. Localized Multiple Kernel Machines for Image Recognition, NIPS Workshop on Understanding Multiple Kernel Learning Methods, Whistler, British Columbia, Canada, 2009.
• M. Gönen and E. Alpaydın. Multiple Kernel Learning Algorithms, Boğaziçi University Technical Report, FBE-CMPE-05/2009-02, İstanbul, Turkey, 2009.

• M. Gönen, A. G. Tanuğur, and E. Alpaydın. Multiclass Posterior Probability Support Vector Machines, IEEE Transactions on Neural Networks, 19(1):130-139, 2008.
• M. Gönen and E. Alpaydın. Localized Multiple Kernel Learning, In Proceedings of the 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland, 2008.

• Ü. Bilge, A. Polat, Y. Tunç, and M. Gönen. Real-Time Shop Floor Control Implementations in BUFAIM Model Factory, In Proceedings of the 15th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2005), Bilbao, Spain, 2005.

• Thesis: Localized Multiple Kernel Algorithms for Machine Learning (This thesis has been awarded by the Boğaziçi University Scientific Research Fund.)
• Supervisor: Prof. Ethem Alpaydın

• Thesis: BUILD.NET: A Graphical Application Generator for Object-Oriented Software and Sample Applications
• Supervisors: Prof. H. Levent Akın and Prof. Ümit Bilge

B.Sc. in Industrial Engineering - Boğaziçi University (1998-2003)