Mustafa Gökçe Baydogan

According to our database, Mustafa Gökçe Baydogan authored at least 29 papers between 2009 and 2024.

Collaborative distances:

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

2024

Column generation-based prototype learning for optimizing area under the receiver operating characteristic curve.

Erhan Can Ozcan, Berk Görgülü, Mustafa Gökçe Baydogan

Eur. J. Oper. Res., April, 2024

Output-Constrained Decision Trees.

S. Ilker Birbil, Doganay Özese, Mustafa Gökçe Baydogan

CoRR, 2024

Smooth Ranking SVM via Cutting-Plane Method.

Erhan Can Ozcan, Berk Görgülü, Mustafa Gökçe Baydogan, Ioannis Ch. Paschalidis

CoRR, 2024

2023

A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting.

Syed Kazmi, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan

CoRR, 2023

2022

Semi-supervised extensions of multi-task tree ensembles.

Esra Adiyeke, Mustafa Gökçe Baydogan

Pattern Recognit., 2022

Multiple instance classification via quadratic programming.

Emel Seyma Küçükasci, Mustafa Gökçe Baydogan, Z. Caner Taskin

J. Glob. Optim., 2022

nTreeClus: A tree-based sequence encoder for clustering categorical series.

Hadi Jahanshahi, Mustafa Gökçe Baydogan

Neurocomputing, 2022

2021

An ensemble-based semi-supervised feature ranking for multi-target regression problems.

Esra Adiyeke, Mustafa Gökçe Baydogan

Pattern Recognit. Lett., 2021

Explainable boosted linear regression for time series forecasting.

Igor Ilic, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan

Pattern Recognit., 2021

Randomized trees for time series representation and similarity.

Berk Görgülü, Mustafa Gökçe Baydogan

Pattern Recognit., 2021

Learning prototypes for multiple instance learning.

Özgür Emre Sivrikaya, Mert Yüksekgönül, Mustafa Gökçe Baydogan

Turkish J. Electr. Eng. Comput. Sci., 2021

A linear programming approach to multiple instance learning.

Emel Seyma Küçükasci, Mustafa Gökçe Baydogan, Z. Caner Taskin

Turkish J. Electr. Eng. Comput. Sci., 2021

2020

The benefits of target relations: A comparison of multitask extensions and classifier chains.

Esra Adiyeke, Mustafa Gökçe Baydogan

Pattern Recognit., 2020

2019

Estimation of Influence Distance of Bus Stops Using Bus GPS Data and Bus Stop Properties.

Ilgin Gökasar, Yigit Çetinel, Mustafa Gökçe Baydogan

IEEE Trans. Intell. Transp. Syst., 2019

Learning Maximally Predictive Prototypes in Multiple Instance Learning.

Mert Yüksekgönül, Özgür Emre Sivrikaya, Mustafa Gökçe Baydogan

CoRR, 2019

2018

Autoregressive forests for multivariate time series modeling.

Kerem Sinan Tuncel, Mustafa Gökçe Baydogan

Pattern Recognit., 2018

A Data Adaptive Biological Sequence Representation for Supervised Learning.

Hande Cakin, Berk Görgülü, Mustafa Gökçe Baydogan, Na Zou, Jing Li

J. Heal. Informatics Res., 2018

Bag encoding strategies in multiple instance learning problems.

Emel Seyma Küçükasci, Mustafa Gökçe Baydogan

Inf. Sci., 2018

2017

A scale-space theory and bag-of-features based time series classification method.

Tayip Altay, Mustafa Gökçe Baydogan

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016

Time series representation and similarity based on local autopatterns.

Mustafa Gökçe Baydogan, George C. Runger

Data Min. Knowl. Discov., 2016

2015

A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems.

Na Zou, Yun Zhu, Ji Zhu, Mustafa Gökçe Baydogan, Wei Wang, Jing Li

Technometrics, 2015

Learning a symbolic representation for multivariate time series classification.

Mustafa Gökçe Baydogan, George C. Runger

Data Min. Knowl. Discov., 2015

Adaptive Advertisement Recommender Systems for Digital Signage.

Addicam Sanjay, Sule Balkan, Mustafa Gökçe Baydogan

Proceedings of the 21st Americas Conference on Information Systems, 2015

2014

SMT: Sparse multivariate tree.

Houtao Deng, Mustafa Gökçe Baydogan, George C. Runger

Stat. Anal. Data Min., 2014

2013

A Bag-of-Features Framework to Classify Time Series.

Mustafa Gökçe Baydogan, George C. Runger, Eugene Tuv

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Affect Recognition in Learning Scenarios: Matching Facial- and BCI-Based Values.

Javier Gonzalez Sanchez, Maria Elena Chavez Echeagaray, Lijia Lin, Mustafa Gökçe Baydogan, Robert Christopherson, David C. Gibson, Robert K. Atkinson, Winslow Burleson

Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, 2013

2012

Modeling Time Series Data for Supervised Learning.

Mustafa Gökçe Baydogan

PhD thesis, 2012

2010

Models of dynamic relations among service activities, system state and service quality on computer and network systems.

Nong Ye, Stephen S. Yau, Dazhi Huang, Mustafa Gökçe Baydogan, Billibaldo Martinez Aranda, Auttawut Roontiva, Patrick Hurley

Inf. Knowl. Syst. Manag., 2010

2009

Toward Development of Adaptive Service-Based Software Systems.

Stephen S. Yau, Nong Ye, Hessam S. Sarjoughian, Dazhi Huang, Auttawut Roontiva, Mustafa Gökçe Baydogan, Mohammed A. Muqsith

IEEE Trans. Serv. Comput., 2009