Mehmet Gönen

发表

Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma

Umberto Castellani, Vittorio Murino, Mehmet Gönen, 2011, SIMBAD.

BaTFLED: Bayesian Tensor Factorization Linked to External Data pdf

Mehmet Gönen, Nathan H. Lazar, Kemal Sönmez, 2016, ArXiv.

Identifying Key miRNA-mRNA Regulatory Modules in Cancer Using Sparse Multivariate Factor Regression

Mehmet Gönen, Milad Mokhtaridoost, M. Gönen, 2020, LOD.

Coupled dimensionality reduction and classification for supervised and semi-supervised multilabel learning

Mehmet Gönen, M. Gönen, 2014, Pattern Recognit. Lett..

A Bayesian Multiple Kernel Learning Framework for Single and Multiple Output Regression

Mehmet Gönen, M. Gönen, 2012, ECAI.

Path2Surv: Pathway/gene set-based survival analysis using multiple kernel learning

Mehmet Gönen, Onur Dereli, Ceyda Oğuz, 2019, Bioinform..

Embedding Heterogeneous Data by Preserving Multiple Kernels

Mehmet Gönen, M. Gönen, 2014, ECAI.

Understanding emotional impact of images using Bayesian multiple kernel learning

Erkki Oja, He Zhang, Zhirong Yang, 2015, Neurocomputing.

Modeling gene‐wise dependencies improves the identification of drug response biomarkers in cancer studies

Mehmet Gönen, Adam A. Margolin, Russell Moser, 2017, Bioinform..

Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization

Mehmet Gönen, M. Gönen, 2012, Bioinform..

Supervised Multiple Kernel Embedding for Learning Predictive Subspaces

Mehmet Gönen, M. Gönen, 2013, IEEE Transactions on Knowledge and Data Engineering.

Kernelized Bayesian Matrix Factorization

Samuel Kaski, Mehmet Gönen, Suleiman A. Khan, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multiple Kernel Learning Algorithms

Ethem Alpaydin, Mehmet Gönen, Ethem Alpaydin, 2011, J. Mach. Learn. Res..

Bayesian Supervised Multilabel Learning with Coupled Embedding and Classification

Mehmet Gönen, M. Gönen, 2012, SDM.

A multitask multiple kernel learning formulation for discriminating early- and late-stage cancers

Mehmet Gönen, Arezou Rahimi, M. Gönen, 2020, Bioinform..

Supervised learning of local projection kernels

Ethem Alpaydin, Mehmet Gönen, Ethem Alpaydin, 2010, Neurocomputing.

Bayesian Multiview Dimensionality Reduction for Learning Predictive Subspaces

Fikret S. Gürgen, Mehmet Gönen, Gülefsan Bozkurt Gönen, 2014, ECAI.

Bayesian Efficient Multiple Kernel Learning

Mehmet Gönen, M. Gönen, 2012, ICML.

Kernelized Bayesian Transfer Learning

Mehmet Gönen, Adam A. Margolin, M. Gönen, 2014, AAAI.

Multi-task and multi-view learning of user state

Samuel Kaski, Melih Kandemir, Arto Klami, 2014, Neurocomputing.

Regularizing multiple kernel learning using response surface methodology

Ethem Alpaydin, Mehmet Gönen, Ethem Alpaydin, 2011, Pattern Recognit..

A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology

Ceyda Oguz, Mehmet Gönen, Onur Dereli, 2019, ICML.

Multiclass Posterior Probability Support Vector Machines

Ethem Alpaydin, Mehmet Gönen, Ayse Gönül Tanugur, 2008, IEEE Transactions on Neural Networks.

Localized Multiple Kernel Regression

Ethem Alpaydin, Mehmet Gönen, 2010, 2010 20th International Conference on Pattern Recognition.

AUC Maximization in Bayesian Hierarchical Models

Mehmet Gönen, M. Gönen, 2016, ECAI.

DREAMTools: a Python package for scoring collaborative challenges

Erhan Bilal, Pablo Meyer, Raquel Norel, 2015, F1000Research.

Localized algorithms for multiple kernel learning

Ethem Alpaydin, Mehmet Gönen, Ethem Alpaydin, 2013, Pattern Recognit..

Multitask Learning Using Regularized Multiple Kernel Learning

Samuel Kaski, Melih Kandemir, Mehmet Gönen, 2011, ICONIP.

Structured Gaussian Processes with Twin Multiple Kernel Learning

Mehmet Gönen, Çigdem Ak, Önder Ergönül, 2018, ACML.

Cost-conscious multiple kernel learning

Ethem Alpaydin, Mehmet Gönen, 2010, Pattern Recognit. Lett..

DREAMTools: a Python package for scoring collaborative challenges

Erhan Bilal, Pablo Meyer, Raquel Norel, 2015, F1000Research.

Discriminating early- and late-stage cancers using multiple kernel learning on gene sets

Mehmet Gönen, Arezou Rahimi, M. Gönen, 2018, Bioinform..

Bayesian Supervised Dimensionality Reduction

Mehmet Gönen, M. Gönen, 2013, IEEE Transactions on Cybernetics.

Probabilistic and discriminative group-wise feature selection methods for credit risk analysis

Fikret S. Gürgen, Mehmet Gönen, Gülefsan Bozkurt Gönen, 2012, Expert Syst. Appl..

Spatiotemporal prediction of infectious diseases using structured Gaussian processes with application to Crimean–Congo hemorrhagic fever

Mehmet Gönen, Önder Ergönül, Çiğdem Ak, 2018, PLoS neglected tropical diseases.

Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning

Erkki Oja, Jorma Laaksonen, Markus Koskela, 2013, ICONIP.

Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization

Krister Wennerberg, Samuel Kaski, Elisabeth Georgii, 2014, J. Chem. Inf. Model..

Integrating gene set analysis and nonlinear predictive modeling of disease phenotypes using a Bayesian multitask formulation

Mehmet Gönen, 2016, BMC Bioinformatics.

Localized Multiple Kernel Algorithms for Machine Learning

Mehmet Gönen, M. Gönen, 2010 .

Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology

Mehmet Gönen, Adam A. Margolin, A. Margolin, 2014, NIPS.

Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learning

Mehmet Gönen, Adam A. Margolin, A. Margolin, 2014, Bioinform..

Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning

Erkki Oja, He Zhang, Zhirong Yang, 2013, ICONIP.

Localized multiple kernel learning

Ethem Alpaydin, Mehmet Gönen, Ethem Alpaydin, 2008, ICML '08.

A Localized MKL Method for Brain Classification with Known Intra-class Variability

Michele Tansella, Umberto Castellani, Vittorio Murino, 2012, MLMI.

PrognosiT: Pathway/gene set-based tumour volume prediction using multiple kernel learning

Mehmet Gönen, Ayyüce Begüm Bektas, M. Gönen, 2021, BMC Bioinform..

ATM Allocation Using Decision Tree-Based Algorithms

Baris Akgün, Mehmet Gönen, Hazal Hasret Yurdakul, 2021, 2021 29th Signal Processing and Communications Applications Conference (SIU).

Localized Multiple Kernel Machines for Image Recognition

Mehmet Gönen, Ethem Alpaydn, 2009 .

The quality of ECG data acquisition, and diagnostic performance of a novel adhesive patch for ambulatory cardiac rhythm monitoring in arrhythmia detection.

Mehmet Gönen, Gamze Aslan, M. Gönen, 2019, Journal of electrocardiology.