Mehmet Gönen

According to our database, Mehmet Gönen authored at least 55 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

MOKPE: drug-target interaction prediction via manifold optimization based kernel preserving embedding.

Oguz C. Binatli, Mehmet Gönen

BMC Bioinform., December, 2023

A Reinforcement Learning based Collection Approach.

Ibrahim Tozlu, Elif Vardarli, Mert Pekey, Mehmet Gönen, Baris Akgün

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

A Hybrid Text Classification Approach for Chatbots.

Attila Karaahmetoglu, Ugur Yigitoglu, Elif Vardarli, Erdem Ünal, Ugur Aydin, Murat Koras, Mehmet Gönen, Baris Akgün

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

Geolocation Risk Scores for Credit Scoring Models.

Erdem Ünal, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen

Proceedings of the Machine Learning, Optimization, and Data Science, 2023

2022

Efficient Multitask Multiple Kernel Learning With Application to Cancer Research.

Arezou Rahimi, Mehmet Gönen

IEEE Trans. Cybern., 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

Banking Order Classification and Information Extraction.

Veli Oguzalp Bakir, Ilhan Cagatay, Melih Güven, Murat Koras, Mehmet Gönen, Baris Akgün

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages.

Marzieh Soleimanpoor, Milad Mokhtaridoost, Mehmet Gönen

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Corporate Network Analysis Based on Graph Learning.

Emre Atan, Ali Duymaz, Funda Sarisözen, Ugur Aydin, Murat Koras, Baris Akgün, Mehmet Gönen

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021

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

Ayyüce Begüm Bektas, Mehmet Gönen

BMC Bioinform., 2021

ATM Allocation Using Decision Tree-Based Algorithms.

Hazal Hasret Yurdakul, Kerem Kasikci, Ilhan Cagatay, Melih Güven, Murat Koras, Baris Akgün, Mehmet Gönen

Proceedings of the 29th Signal Processing and Communications Applications Conference, 2021

2020

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

Arezou Rahimi, Mehmet Gönen

Bioinform., 2020

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

Milad Mokhtaridoost, Mehmet Gönen

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Improving Fraud Detection and Concept Drift Adaptation in Credit Card Transactions Using Incremental Gradient Boosting Trees.

Baris Bayram, Bilge Köroglu, Mehmet Gönen

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

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

Onur Dereli, Ceyda Oguz, Mehmet Gönen

Bioinform., 2019

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

Onur Dereli, Ceyda Oguz, Mehmet Gönen

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

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

Arezou Rahimi, Mehmet Gönen

Bioinform., 2018

Structured Gaussian Processes with Twin Multiple Kernel Learning.

Çigdem Ak, Önder Ergönül, Mehmet Gönen

Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017

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

2016

BaTFLED: Bayesian Tensor Factorization Linked to External Data.

Nathan H. Lazar, Mehmet Gönen, Kemal Sönmez

CoRR, 2016

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

Mehmet Gönen

BMC Bioinform., 2016

AUC Maximization in Bayesian Hierarchical Models.

Mehmet Gönen

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Understanding emotional impact of images using Bayesian multiple kernel learning.

He Zhang, Mehmet Gönen, Zhirong Yang, Erkki Oja

Neurocomputing, 2015

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, Michael P. Menden, Pablo Meyer, Raquel Norel, Abhishek Pratap, Robert J. Prill, Matthew T. Weirauch, James C. Costello, Gustavo Stolovitzky, Julio Saez-Rodriguez

F1000Research, 2015

2014

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

Mehmet Gönen

Pattern Recognit. Lett., 2014

Kernelized Bayesian Matrix Factorization.

Mehmet Gönen, Samuel Kaski

IEEE Trans. Pattern Anal. Mach. Intell., 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

Multi-task and multi-view learning of user state.

Melih Kandemir, Akos Vetek, Mehmet Gönen, Arto Klami, Samuel Kaski

Neurocomputing, 2014

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

Mehmet Gönen, Adam A. Margolin

Bioinform., 2014

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

Mehmet Gönen, Adam A. Margolin

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Bayesian Multiview Dimensionality Reduction for Learning Predictive Subspaces.

Mehmet Gönen, Gülefsan Bozkurt Gönen, Fikret S. Gürgen

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Embedding Heterogeneous Data by Preserving Multiple Kernels.

Mehmet Gönen

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Kernelized Bayesian Transfer Learning.

Mehmet Gönen, Adam A. Margolin

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Supervised Multiple Kernel Embedding for Learning Predictive Subspaces.

Mehmet Gönen

IEEE Trans. Knowl. Data Eng., 2013

Bayesian Supervised Dimensionality Reduction.

Mehmet Gönen

IEEE Trans. Cybern., 2013

Localized algorithms for multiple kernel learning.

Mehmet Gönen, Ethem Alpaydin

Pattern Recognit., 2013

Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning.

He Zhang, Zhirong Yang, Mehmet Gönen, Markus Koskela, Jorma Laaksonen, Timo Honkela, Erkki Oja

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning.

He Zhang, Mehmet Gönen, Zhirong Yang, Erkki Oja

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Kernelized Bayesian Matrix Factorization.

Mehmet Gönen, Suleiman A. Khan, Samuel Kaski

Proceedings of the 30th International Conference on Machine Learning, 2013

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

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

Mehmet Gönen

Bioinform., 2012

Bayesian Supervised Multilabel Learning with Coupled Embedding and Classification.

Mehmet Gönen

Proceedings of the Twelfth SIAM International Conference on Data Mining, 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

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Bayesian Efficient Multiple Kernel Learning.

Mehmet Gönen

Proceedings of the 29th International Conference on Machine Learning, 2012

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

Mehmet Gönen

Proceedings of the ECAI 2012, 2012

2011

Regularizing multiple kernel learning using response surface methodology.

Mehmet Gönen, Ethem Alpaydin

Pattern Recognit., 2011

Multiple Kernel Learning Algorithms.

Mehmet Gönen, Ethem Alpaydin

J. Mach. Learn. Res., 2011

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

Mehmet Gönen, Aydin Ulas, Peter J. Schüffler, Umberto Castellani, Vittorio Murino

Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Multitask Learning Using Regularized Multiple Kernel Learning.

Mehmet Gönen, Melih Kandemir, Samuel Kaski

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

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

Mehmet Gönen

PhD thesis, 2010

Cost-conscious multiple kernel learning.

Mehmet Gönen, Ethem Alpaydin

Pattern Recognit. Lett., 2010

Supervised learning of local projection kernels.

Mehmet Gönen, Ethem Alpaydin

Neurocomputing, 2010

Localized Multiple Kernel Regression.

Mehmet Gönen, Ethem Alpaydin

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2008

Multiclass Posterior Probability Support Vector Machines.

Mehmet Gönen, Ayse Gönül Tanugur, Ethem Alpaydin

IEEE Trans. Neural Networks, 2008

Localized multiple kernel learning.

Mehmet Gönen, Ethem Alpaydin

Proceedings of the Machine Learning, 2008