Localized multiple kernel learning. - Mehmet Gönen; Ethem Alpaydin (ICML, 2008)

Multiclass Posterior Probability Support Vector Machines. - Mehmet Gönen; Ayse Gönül Tanugur; Ethem Alpaydin (IEEE Trans. Neural Networks, 2008)

Localized Multiple Kernel Regression. - Mehmet Gönen; Ethem Alpaydin (ICPR, 2010)

Supervised learning of local projection kernels. - Mehmet Gönen; Ethem Alpaydin (Neurocomputing, 2010)

Cost-conscious multiple kernel learning. - Mehmet Gönen; Ethem Alpaydin (Pattern Recognit. Lett., 2010)

Localized multiple kernel algorithms for machine learning (Yapay öğrenme için yerel çoklu çekirdek algoritmaları) - Mehmet Gönen (2010)

Multitask Learning Using Regularized Multiple Kernel Learning. - Mehmet Gönen; Melih Kandemir; Samuel Kaski (ICONIP (2), 2011)

Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma. - Mehmet Gönen; Aydin Ulas; Peter J. Schüffler; Umberto Castellani; Vittorio Murino (SIMBAD, 2011)

Multiple Kernel Learning Algorithms. - Mehmet Gönen; Ethem Alpaydin (J. Mach. Learn. Res., 2011)

Regularizing multiple kernel learning using response surface methodology. - Mehmet Gönen; Ethem Alpaydin (Pattern Recognit., 2011)

A Bayesian Multiple Kernel Learning Framework for Single and Multiple Output Regression. - Mehmet Gönen (ECAI, 2012)

Bayesian Efficient Multiple Kernel Learning. - Mehmet Gönen (ICML, 2012)

A Localized MKL Method for Brain Classification with Known Intra-class Variability. - Aydin Ulas; Mehmet Gönen; Umberto Castellani; Vittorio Murino; Marcella Bellani; Michele Tansella; Paolo Brambilla (MLMI, 2012)

Bayesian Supervised Multilabel Learning with Coupled Embedding and Classification. - Mehmet Gönen (SDM, 2012)

Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization. - Mehmet Gönen (Bioinform., 2012)

Probabilistic and discriminative group-wise feature selection methods for credit risk analysis. - Gülefsan Bozkurt Gönen; Mehmet Gönen; Fikret S. Gürgen (Expert Syst. Appl., 2012)

Kernelized Bayesian Matrix Factorization. - Mehmet Gönen; Suleiman A. Khan; Samuel Kaski (ICML (3), 2013)

Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning. - He Zhang 009; Mehmet Gönen; Zhirong Yang; Erkki Oja (ICONIP (3), 2013)

Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. - He Zhang 009; Zhirong Yang; Mehmet Gönen; Markus Koskela; Jorma Laaksonen; Timo Honkela; Erkki Oja (ICONIP (3), 2013)

Localized algorithms for multiple kernel learning. - Mehmet Gönen; Ethem Alpaydin (Pattern Recognit., 2013)

Bayesian Supervised Dimensionality Reduction. - Mehmet Gönen (IEEE Trans. Cybern., 2013)

Supervised Multiple Kernel Embedding for Learning Predictive Subspaces. - Mehmet Gönen (IEEE Trans. Knowl. Data Eng., 2013)

Kernelized Bayesian Transfer Learning. - Mehmet Gönen; Adam A. Margolin (AAAI, 2014)

Embedding Heterogeneous Data by Preserving Multiple Kernels. - Mehmet Gönen (ECAI, 2014)

Bayesian Multiview Dimensionality Reduction for Learning Predictive Subspaces. - Mehmet Gönen; Gülefsan Bozkurt Gönen; Fikret S. Gürgen (ECAI, 2014)

Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology. - Mehmet Gönen; Adam A. Margolin (NIPS, 2014)

Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learning. - Mehmet Gönen; Adam A. Margolin (Bioinform., 2014)

Multi-task and multi-view learning of user state. - Melih Kandemir; Akos Vetek; Mehmet Gönen; Arto Klami; Samuel Kaski (Neurocomputing, 2014)

Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization. - Muhammad Ammad-ud-din; Elisabeth Georgii; Mehmet Gönen; Tuomo Laitinen; Olli-P. Kallioniemi; Krister Wennerberg; Antti Poso; Samuel Kaski (J. Chem. Inf. Model., 2014)

Kernelized Bayesian Matrix Factorization. - Mehmet Gönen; Samuel Kaski (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Coupled dimensionality reduction and classification for supervised and semi-supervised multilabel learning. - Mehmet Gönen (Pattern Recognit. Lett., 2014)

DREAMTools: a Python package for scoring collaborative challenges. - Thomas Cokelaer; Mukesh Bansal; Christopher Bare; Erhan Bilal; Brian M. Bot; Elias Chaibub Neto; Federica Eduati; Mehmet Gönen; Steven M. Hill; Bruce R. Hoff; Jonathan R. Karr; Robert Küffner; et al. (F1000Research, 2015)

Understanding emotional impact of images using Bayesian multiple kernel learning. - He Zhang 009; Mehmet Gönen; Zhirong Yang; Erkki Oja (Neurocomputing, 2015)

AUC Maximization in Bayesian Hierarchical Models. - Mehmet Gönen (ECAI, 2016)

Integrating gene set analysis and nonlinear predictive modeling of disease phenotypes using a Bayesian multitask formulation. - Mehmet Gönen (BMC Bioinform., 2016)

BaTFLED: Bayesian Tensor Factorization Linked to External Data. - Nathan H. Lazar; Mehmet Gönen; Kemal Sönmez (CoRR, 2016)

Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies. - Olga Nikolova; Russell Moser; Christopher Kemp; Mehmet Gönen; Adam A. Margolin (Bioinform., 2017)

Structured Gaussian Processes with Twin Multiple Kernel Learning. - Çigdem Ak; Önder Ergönül; Mehmet Gönen (ACML, 2018)

Discriminating early- and late-stage cancers using multiple kernel learning on gene sets. - Arezou Rahimi; Mehmet Gönen (Bioinform., 2018)

A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology. - Onur Dereli; Ceyda Oguz; Mehmet Gönen (ICML, 2019)

Path2Surv: Pathway/gene set-based survival analysis using multiple kernel learning. - Onur Dereli; Ceyda Oguz; Mehmet Gönen (Bioinform., 2019)

Improving Fraud Detection and Concept Drift Adaptation in Credit Card Transactions Using Incremental Gradient Boosting Trees. - Baris Bayram; Bilge Köroglu; Mehmet Gönen (ICMLA, 2020)

Identifying Key miRNA-mRNA Regulatory Modules in Cancer Using Sparse Multivariate Factor Regression. - Milad Mokhtaridoost; Mehmet Gönen (LOD (1), 2020)

An efficient framework to identify key miRNA-mRNA regulatory modules in cancer. - Milad Mokhtaridoost; Mehmet Gönen (Bioinform., 2020)

A multitask multiple kernel learning formulation for discriminating early- and late-stage cancers. - Arezou Rahimi; Mehmet Gönen (Bioinform., 2020)

ATM Allocation Using Decision Tree-Based Algorithms. - Hazal Hasret Yurdakul; Kerem Kasikci; Ilhan Cagatay; Melih Güven; Murat Koras; Baris Akgün; Mehmet Gönen (SIU, 2021)

PrognosiT: Pathway/gene set-based tumour volume prediction using multiple kernel learning. - Ayyüce Begüm Bektas; Mehmet Gönen (BMC Bioinform., 2021)

Corporate Network Analysis Based on Graph Learning. - Emre Atan; Ali Duymaz; Funda Sarisözen; Ugur Aydin; Murat Koras; Baris Akgün; Mehmet Gönen (LOD (1), 2022)

A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages. - Marzieh Soleimanpoor; Milad Mokhtaridoost; Mehmet Gönen (LOD (1), 2022)

Banking Order Classification and Information Extraction. - Veli Oguzalp Bakir; Ilhan Cagatay; Melih Güven; Murat Koras; Mehmet Gönen; Baris Akgün (SIU, 2022)

Fast and interpretable genomic data analysis using multiple approximate kernel learning. - Ayyüce Begüm Bektas; Çigdem Ak; Mehmet Gönen (Bioinform., 2022)

Spatial Prediction of COVID-19 Pandemic Dynamics in the United States. - Çigdem Ak; Alex D. Chitsazan; Mehmet Gönen; Ruth Etzioni; Aaron J. Grossberg (ISPRS Int. J. Geo Inf., 2022)

Efficient Multitask Multiple Kernel Learning With Application to Cancer Research. - Arezou Rahimi; Mehmet Gönen (IEEE Trans. Cybern., 2022)

Geolocation Risk Scores for Credit Scoring Models. - Erdem Ünal; Ugur Aydin; Murat Koras; Baris Akgün; Mehmet Gönen (LOD (2), 2023)

A Hybrid Text Classification Approach for Chatbots. - Atilla Karaahmetoglu; Ugur Yigitoglu; Elif Vardarli; Erdem Ünal; Ugur Aydin; Murat Koras; Mehmet Gönen; Baris Akgün (SIU, 2023)

A Reinforcement Learning based Collection Approach. - Ibrahim Tozlu; Elif Vardarli; Mert Pekey; Mehmet Gönen; Baris Akgün (SIU, 2023)

MOKPE: drug-target interaction prediction via manifold optimization based kernel preserving embedding. - Oguz C. Binatli; Mehmet Gönen (BMC Bioinform., 2023)

Identifying Potential Key Point-of-Sale Customers Using Network Centrality. - Emir Yalçin; Kerem Kasikci; Remziye Günes; Melih Güven; Murat Koras; Baris Akgün; Mehmet Gönen (LOD (2), 2024)

Location-Based Performance Management of Sales Teams. - Hande Kastan; Kerem Kasikci; Remziye Günes; Melih Güven; Murat Koras; Baris Akgün; Mehmet Gönen (SIU, 2024)