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Academician profile · PROFESÖR

MEHMET GÖNEN

KOÇ ÜNİVERSİTESİ

  • Ana Dal Mühendislik Temel Alanı
  • Yan Dal Endüstri Mühendisliği
  • MÜHENDİSLİK FAKÜLTESİ
  • ENDÜSTRİ MÜHENDİSLİĞİ BÖLÜMÜ
Articles YÖKSİS 20
Projects 1
Books 0
Proceedings 0
Patents 0
Artistic 0
Scopus (SJR)
Q1 17 Q2 2 Q3 0 Q4 0
WoS (JCR)
Q1 15 Q2 4 Q3 1 Q4 0
TR Index 0 articles

Scopus (SJR)

Q1 17 Q2 2 Q3 0 Q4 0

WoS (JCR)

Q1 15 Q2 4 Q3 1 Q4 0

TR Index

0 articles

20 publications total

Articles

  1. 2016 Ultrasensitive proteomic quantitation of cellular signaling by digitized nanoparticle protein counting Scientific Reports DOI 10.1038/srep28163
  2. 2016 Integrating gene set analysis and nonlinear predictive modeling of disease phenotypes using a Bayesian multitask formulation BMC Bioinformatics DOI 10.1186/s12859-016-1311-3
  3. 2015 Understanding emotional impact of images using Bayesian multiple kernel learning Neurocomputing DOI 10.1016/j.neucom.2014.10.093
  4. 2014 Coupled dimensionality reduction and classification for supervised and semi supervised multilabel learning Pattern Recognition Letters DOI 10.1016/j.patrec.2013.11.021
  5. 2014 Multi task and multi view learning of user state Neurocomputing DOI 10.1016/j.neucom.2014.02.057
  6. 2014 A community effort to assess and improve drug sensitivity prediction algorithms Nature Biotechnology DOI 10.1038/nbt.2877
  7. 2014 Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learning Bioinformatics DOI 10.1093/bioinformatics/btu464
  8. 2014 Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization Journal of Chemical Information and Modeling DOI 10.1021/ci500152b
  9. 2014 Kernelized Bayesian Matrix Factorization IEEE Transactions on Pattern Analysis and Machine Intelligence DOI 10.1109/TPAMI.2014.2313125
  10. 2013 Supervised Multiple Kernel Embedding for Learning Predictive Subspaces IEEE Transactions on Knowledge and Data Engineering DOI 10.1109/TKDE.2012.213
  11. 2013 Localized algorithms for multiple kernel learning Pattern Recognition DOI 10.1016/j.patcog.2012.09.002
  12. 2013 Bayesian Supervised Dimensionality Reduction IEEE Transactions on Cybernetics DOI 10.1109/TCYB.2013.2245321
  13. 2012 Probabilistic and discriminative group wise feature selection methods for credit risk analysis Expert Systems with Applications DOI 10.1016/j.eswa.2012.04.050
  14. 2012 Predicting drug target interactions from chemical and genomic kernels using Bayesian matrix factorization Bioinformatics DOI 10.1093/bioinformatics/bts360
  15. 2011 Multiple Kernel Learning Algorithms Journal of Machine Learning Research DOI http://www.jmlr.org/papers/v12/gonen11a.html
  16. 2011 Regularizing multiple kernel learning using response surface methodology Pattern Recognition DOI 10.1016/j.patcog.2010.07.008
  17. 2010 Cost conscious multiple kernel learning Pattern Recognition Letters DOI 10.1016/j.patrec.2009.12.027
  18. 2010 Supervised learning of local projection kernels Neurocomputing DOI 10.1016/j.neucom.2009.11.043
  19. 2009 Machine learning integration for predicting the effect of single amino acid substitutions on protein stability BMC Structural Biology DOI 10.1186/1472-6807-9-66
  20. 2008 Multiclass Posterior Probability Support Vector Machines IEEE Transactions on Neural Networks DOI 10.1109/TNN.2007.903157

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