Mehmet Gönen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 23

Top Topics

Matrix Factorization

Gaussian Processes

Survival Analysis

Top Venues

Publications

Hande Kastan, Kerem Kasikci, Remziye Günes, Melih Güven, Murat Koras, Baris Akgün, Mehmet Gönen
Location-Based Performance Management of Sales Teams. SIU (2024)
Ibrahim Tozlu, Elif Vardarli, Mert Pekey, Mehmet Gönen, Baris Akgün
A Reinforcement Learning based Collection Approach. SIU (2023)
Attila Karaahmetoglu, Ugur Yigitoglu, Elif Vardarli, Erdem Ünal, Ugur Aydin, Murat Koras, Mehmet Gönen, Baris Akgün
A Hybrid Text Classification Approach for Chatbots. SIU (2023)
Oguz C. Binatli, Mehmet Gönen
MOKPE: drug-target interaction prediction via manifold optimization based kernel preserving embedding. BMC Bioinform. 24 (1) (2023)
Erdem Ünal, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen
Geolocation Risk Scores for Credit Scoring Models. LOD (2) (2023)
Marzieh Soleimanpoor, Milad Mokhtaridoost, Mehmet Gönen
A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages. LOD (1) (2022)
Veli Oguzalp Bakir, Ilhan Cagatay, Melih Güven, Murat Koras, Mehmet Gönen, Baris Akgün
Banking Order Classification and Information Extraction. SIU (2022)
Arezou Rahimi, Mehmet Gönen
Efficient Multitask Multiple Kernel Learning With Application to Cancer Research. IEEE Trans. Cybern. 52 (9) (2022)
Çigdem Ak, Alex D. Chitsazan, Mehmet Gönen, Ruth Etzioni, Aaron J. Grossberg
Spatial Prediction of COVID-19 Pandemic Dynamics in the United States. ISPRS Int. J. Geo Inf. 11 (9) (2022)
Emre Atan, Ali Duymaz, Funda Sarisözen, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen
Corporate Network Analysis Based on Graph Learning. LOD (1) (2022)
Hazal Hasret Yurdakul, Kerem Kasikci, Ilhan Cagatay, Melih Güven, Murat Koras, Baris Akgün, Mehmet Gönen
ATM Allocation Using Decision Tree-Based Algorithms. SIU (2021)
Ayyüce Begüm Bektas, Mehmet Gönen
PrognosiT: Pathway/gene set-based tumour volume prediction using multiple kernel learning. BMC Bioinform. 22 (1) (2021)
Baris Bayram, Bilge Köroglu, Mehmet Gönen
Improving Fraud Detection and Concept Drift Adaptation in Credit Card Transactions Using Incremental Gradient Boosting Trees. ICMLA (2020)
Milad Mokhtaridoost, Mehmet Gönen
Identifying Key miRNA-mRNA Regulatory Modules in Cancer Using Sparse Multivariate Factor Regression. LOD (1) (2020)
Arezou Rahimi, Mehmet Gönen
A multitask multiple kernel learning formulation for discriminating early- and late-stage cancers. Bioinform. 36 (12) (2020)
Onur Dereli, Ceyda Oguz, Mehmet Gönen
Path2Surv: Pathway/gene set-based survival analysis using multiple kernel learning. Bioinform. 35 (24) (2019)
Onur Dereli, Ceyda Oguz, Mehmet Gönen
A Multitask Multiple Kernel Learning Algorithm for Survival Analysis with Application to Cancer Biology. ICML (2019)
Arezou Rahimi, Mehmet Gönen
Discriminating early- and late-stage cancers using multiple kernel learning on gene sets. Bioinform. 34 (13) (2018)
Çigdem Ak, Önder Ergönül, Mehmet Gönen
Structured Gaussian Processes with Twin Multiple Kernel Learning. ACML (2018)
Olga Nikolova, Russell Moser, Christopher Kemp, Mehmet Gönen, Adam A. Margolin
Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies. Bioinform. 33 (9) (2017)
Mehmet Gönen
AUC Maximization in Bayesian Hierarchical Models. ECAI (2016)
Mehmet Gönen
Integrating gene set analysis and nonlinear predictive modeling of disease phenotypes using a Bayesian multitask formulation. BMC Bioinform. 17 (S-16) (2016)
Nathan H. Lazar, Mehmet Gönen, Kemal Sönmez
BaTFLED: Bayesian Tensor Factorization Linked to External Data. CoRR (2016)
He Zhang, Mehmet Gönen, Zhirong Yang, Erkki Oja
Understanding emotional impact of images using Bayesian multiple kernel learning. Neurocomputing 165 (2015)
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, Michael P. Menden, Pablo Meyer, Raquel Norel, Abhishek Pratap, Robert J. Prill, Matthew T. Weirauch, James C. Costello, Gustavo Stolovitzky, Julio Saez-Rodriguez
DREAMTools: a Python package for scoring collaborative challenges. F1000Research 4 (2015)
Mehmet Gönen, Adam A. Margolin
Drug susceptibility prediction against a panel of drugs using kernelized Bayesian multitask learning. Bioinform. 30 (17) (2014)
Mehmet Gönen
Coupled dimensionality reduction and classification for supervised and semi-supervised multilabel learning. Pattern Recognit. Lett. 38 (2014)
Melih Kandemir, Akos Vetek, Mehmet Gönen, Arto Klami, Samuel Kaski
Multi-task and multi-view learning of user state. Neurocomputing 139 (2014)
Muhammad Ammad-ud-din, Elisabeth Georgii, Mehmet Gönen, Tuomo Laitinen, Olli-P. Kallioniemi, Krister Wennerberg, Antti Poso, Samuel Kaski
Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization. J. Chem. Inf. Model. 54 (8) (2014)
Mehmet Gönen
Embedding Heterogeneous Data by Preserving Multiple Kernels. ECAI (2014)
Mehmet Gönen, Gülefsan Bozkurt Gönen, Fikret S. Gürgen
Bayesian Multiview Dimensionality Reduction for Learning Predictive Subspaces. ECAI (2014)
Mehmet Gönen, Samuel Kaski
Kernelized Bayesian Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 36 (10) (2014)
Mehmet Gönen, Adam A. Margolin
Kernelized Bayesian Transfer Learning. AAAI (2014)
Mehmet Gönen, Adam A. Margolin
Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology. NIPS (2014)
He Zhang, Mehmet Gönen, Zhirong Yang, Erkki Oja
Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning. ICONIP (3) (2013)
Mehmet Gönen, Suleiman A. Khan, Samuel Kaski
Kernelized Bayesian Matrix Factorization. ICML (3) (2013)
Mehmet Gönen
Bayesian Supervised Dimensionality Reduction. IEEE Trans. Cybern. 43 (6) (2013)
He Zhang, Zhirong Yang, Mehmet Gönen, Markus Koskela, Jorma Laaksonen, Timo Honkela, Erkki Oja
Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. ICONIP (3) (2013)
Mehmet Gönen, Ethem Alpaydin
Localized algorithms for multiple kernel learning. Pattern Recognit. 46 (3) (2013)
Mehmet Gönen
Supervised Multiple Kernel Embedding for Learning Predictive Subspaces. IEEE Trans. Knowl. Data Eng. 25 (10) (2013)
Gülefsan Bozkurt Gönen, Mehmet Gönen, Fikret S. Gürgen
Probabilistic and discriminative group-wise feature selection methods for credit risk analysis. Expert Syst. Appl. 39 (14) (2012)
Mehmet Gönen
Bayesian Efficient Multiple Kernel Learning. ICML (2012)
Mehmet Gönen
A Bayesian Multiple Kernel Learning Framework for Single and Multiple Output Regression. ECAI (2012)
Aydin Ulas, Mehmet Gönen, Umberto Castellani, Vittorio Murino, Marcella Bellani, Michele Tansella, Paolo Brambilla
A Localized MKL Method for Brain Classification with Known Intra-class Variability. MLMI (2012)
Mehmet Gönen
Bayesian Supervised Multilabel Learning with Coupled Embedding and Classification. SDM (2012)
Mehmet Gönen
Predicting drug-target interactions from chemical and genomic kernels using Bayesian matrix factorization. Bioinform. 28 (18) (2012)
Mehmet Gönen, Ethem Alpaydin
Regularizing multiple kernel learning using response surface methodology. Pattern Recognit. 44 (1) (2011)
Mehmet Gönen, Melih Kandemir, Samuel Kaski
Multitask Learning Using Regularized Multiple Kernel Learning. ICONIP (2) (2011)
Mehmet Gönen, Ethem Alpaydin
Multiple Kernel Learning Algorithms. J. Mach. Learn. Res. 12 (2011)
Mehmet Gönen, Aydin Ulas, Peter J. Schüffler, Umberto Castellani, Vittorio Murino
Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma. SIMBAD (2011)
Mehmet Gönen, Ethem Alpaydin
Localized Multiple Kernel Regression. ICPR (2010)
Mehmet Gönen, Ethem Alpaydin
Cost-conscious multiple kernel learning. Pattern Recognit. Lett. 31 (9) (2010)
Mehmet Gönen, Ethem Alpaydin
Supervised learning of local projection kernels. Neurocomputing 73 (10-12) (2010)
Mehmet Gönen, Ayse Gönül Tanugur, Ethem Alpaydin
Multiclass Posterior Probability Support Vector Machines. IEEE Trans. Neural Networks 19 (1) (2008)
Mehmet Gönen, Ethem Alpaydin
Localized multiple kernel learning. ICML (2008)