Mustafa Gökçe Baydogan

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 22

Top Topics

Multiple Instance

Digital Signage

Regression Problems

Top Venues

Pattern Recognit.

Data Min. Knowl. Discov.

Turkish J. Electr. Eng. Comput. Sci.

Publications

S. Ilker Birbil, Doganay Özese, Mustafa Gökçe Baydogan
Output-Constrained Decision Trees. CoRR (2024)
Erhan Can Ozcan, Berk Görgülü, Mustafa Gökçe Baydogan, Ioannis Ch. Paschalidis
Smooth Ranking SVM via Cutting-Plane Method. CoRR (2024)
Erhan Can Ozcan, Berk Görgülü, Mustafa Gökçe Baydogan
Column generation-based prototype learning for optimizing area under the receiver operating characteristic curve. Eur. J. Oper. Res. 314 (1) (2024)
Syed Kazmi, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting. CoRR (2023)
Esra Adiyeke, Mustafa Gökçe Baydogan
Semi-supervised extensions of multi-task tree ensembles. Pattern Recognit. 123 (2022)
Emel Seyma Küçükasci, Mustafa Gökçe Baydogan, Z. Caner Taskin
Multiple instance classification via quadratic programming. J. Glob. Optim. 83 (4) (2022)
Hadi Jahanshahi, Mustafa Gökçe Baydogan
nTreeClus: A tree-based sequence encoder for clustering categorical series. Neurocomputing 494 (2022)
Hadi Jahanshahi, Mustafa Gökçe Baydogan
nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series. CoRR (2021)
Emel Seyma Küçükasci, Mustafa Gökçe Baydogan, Z. Caner Taskin
A linear programming approach to multiple instance learning. Turkish J. Electr. Eng. Comput. Sci. 29 (4) (2021)
Esra Adiyeke, Mustafa Gökçe Baydogan
An ensemble-based semi-supervised feature ranking for multi-target regression problems. Pattern Recognit. Lett. 148 (2021)
Berk Görgülü, Mustafa Gökçe Baydogan
Randomized trees for time series representation and similarity. Pattern Recognit. 120 (2021)
Igor Ilic, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan
Explainable boosted linear regression for time series forecasting. Pattern Recognit. 120 (2021)
Özgür Emre Sivrikaya, Mert Yüksekgönül, Mustafa Gökçe Baydogan
Learning prototypes for multiple instance learning. Turkish J. Electr. Eng. Comput. Sci. 29 (7) (2021)
Igor Ilic, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan
Explainable boosted linear regression for time series forecasting. CoRR (2020)
Esra Adiyeke, Mustafa Gökçe Baydogan
The benefits of target relations: A comparison of multitask extensions and classifier chains. Pattern Recognit. 107 (2020)
Mert Yüksekgönül, Özgür Emre Sivrikaya, Mustafa Gökçe Baydogan
Learning Maximally Predictive Prototypes in Multiple Instance Learning. CoRR (2019)
Ilgin Gökasar, Yigit Çetinel, Mustafa Gökçe Baydogan
Estimation of Influence Distance of Bus Stops Using Bus GPS Data and Bus Stop Properties. IEEE Trans. Intell. Transp. Syst. 20 (12) (2019)
Emel Seyma Küçükasci, Mustafa Gökçe Baydogan
Bag encoding strategies in multiple instance learning problems. Inf. Sci. 467 (2018)
Hande Cakin, Berk Görgülü, Mustafa Gökçe Baydogan, Na Zou, Jing Li
A Data Adaptive Biological Sequence Representation for Supervised Learning. J. Heal. Informatics Res. 2 (4) (2018)
Kerem Sinan Tuncel, Mustafa Gökçe Baydogan
Autoregressive forests for multivariate time series modeling. Pattern Recognit. 73 (2018)
Tayip Altay, Mustafa Gökçe Baydogan
A scale-space theory and bag-of-features based time series classification method. SIU (2017)
Mustafa Gökçe Baydogan, George C. Runger
Time series representation and similarity based on local autopatterns. Data Min. Knowl. Discov. 30 (2) (2016)
Mustafa Gökçe Baydogan, George C. Runger
Learning a symbolic representation for multivariate time series classification. Data Min. Knowl. Discov. 29 (2) (2015)
Addicam Sanjay, Sule Balkan, Mustafa Gökçe Baydogan
Adaptive Advertisement Recommender Systems for Digital Signage. AMCIS (2015)
Na Zou, Yun Zhu, Ji Zhu, Mustafa Gökçe Baydogan, Wei Wang, Jing Li
A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems. Technometrics 57 (3) (2015)
Houtao Deng, Mustafa Gökçe Baydogan, George C. Runger
SMT: Sparse multivariate tree. Stat. Anal. Data Min. 7 (1) (2014)
Javier Gonzalez Sanchez, Maria Elena Chavez Echeagaray, Lijia Lin, Mustafa Gökçe Baydogan, Robert Christopherson, David C. Gibson, Robert K. Atkinson, Winslow Burleson
Affect Recognition in Learning Scenarios: Matching Facial- and BCI-Based Values. ICALT (2013)
Mustafa Gökçe Baydogan, George C. Runger, Eugene Tuv
A Bag-of-Features Framework to Classify Time Series. IEEE Trans. Pattern Anal. Mach. Intell. 35 (11) (2013)
Nong Ye, Stephen S. Yau, Dazhi Huang, Mustafa Gökçe Baydogan, Billibaldo Martinez Aranda, Auttawut Roontiva, Patrick Hurley
Models of dynamic relations among service activities, system state and service quality on computer and network systems. Inf. Knowl. Syst. Manag. 9 (2) (2010)
Stephen S. Yau, Nong Ye, Hessam S. Sarjoughian, Dazhi Huang, Auttawut Roontiva, Mustafa Gökçe Baydogan, Mohammed A. Muqsith
Toward Development of Adaptive Service-Based Software Systems. IEEE Trans. Serv. Comput. 2 (3) (2009)