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ORCIDMustafa Gökçe Baydogan
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2020 – today
- 2024
[j21]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): 297-307 (2024)- [i6]Erhan Can Ozcan, Berk Görgülü, Mustafa Gökçe Baydogan, Ioannis Ch. Paschalidis:
Smooth Ranking SVM via Cutting-Plane Method. CoRR abs/2401.14388 (2024) - [i5]S. Ilker Birbil, Doganay Özese, Mustafa Gökçe Baydogan:
Output-Constrained Decision Trees. CoRR abs/2405.15314 (2024) - 2023
- [i4]Syed Kazmi, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan:
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting. CoRR abs/2301.00819 (2023) - 2022
- [j20]Hadi Jahanshahi, Mustafa Gökçe Baydogan:
nTreeClus: A tree-based sequence encoder for clustering categorical series. Neurocomputing 494: 224-241 (2022) - [j19]Emel Seyma Küçükasci, Mustafa Gökçe Baydogan, Z. Caner Taskin:
Multiple instance classification via quadratic programming. J. Glob. Optim. 83(4): 639-670 (2022) - [j18]Esra Adiyeke, Mustafa Gökçe Baydogan:
Semi-supervised extensions of multi-task tree ensembles. Pattern Recognit. 123: 108393 (2022) - 2021
- [j17]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): 2186-2201 (2021) - [j16]Özgür Emre Sivrikaya, Mert Yüksekgönül, Mustafa Gökçe Baydogan:
Learning prototypes for multiple instance learning. Turkish J. Electr. Eng. Comput. Sci. 29(7): 2901-2919 (2021) - [j15]Berk Görgülü, Mustafa Gökçe Baydogan:
Randomized trees for time series representation and similarity. Pattern Recognit. 120: 108097 (2021) - [j14]Igor Ilic, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan:
Explainable boosted linear regression for time series forecasting. Pattern Recognit. 120: 108144 (2021) - [j13]Esra Adiyeke, Mustafa Gökçe Baydogan:
An ensemble-based semi-supervised feature ranking for multi-target regression problems. Pattern Recognit. Lett. 148: 36-42 (2021) - [i3]Hadi Jahanshahi, Mustafa Gökçe Baydogan:
nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series. CoRR abs/2102.10252 (2021) - 2020
- [j12]Esra Adiyeke, Mustafa Gökçe Baydogan:
The benefits of target relations: A comparison of multitask extensions and classifier chains. Pattern Recognit. 107: 107507 (2020) - [i2]Igor Ilic, Berk Görgülü, Mucahit Cevik, Mustafa Gökçe Baydogan:
Explainable boosted linear regression for time series forecasting. CoRR abs/2009.09110 (2020)
2010 – 2019
- 2019
- [j11]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): 4635-4642 (2019) - [i1]Mert Yüksekgönül, Özgür Emre Sivrikaya, Mustafa Gökçe Baydogan:
Learning Maximally Predictive Prototypes in Multiple Instance Learning. CoRR abs/1910.00965 (2019) - 2018
- [j10]Emel Seyma Küçükasci, Mustafa Gökçe Baydogan:
Bag encoding strategies in multiple instance learning problems. Inf. Sci. 467: 559-578 (2018) - [j9]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): 448-471 (2018) - [j8]Kerem Sinan Tuncel, Mustafa Gökçe Baydogan:
Autoregressive forests for multivariate time series modeling. Pattern Recognit. 73: 202-215 (2018) - 2017
- [c3]Tayip Altay, Mustafa Gökçe Baydogan:
A scale-space theory and bag-of-features based time series classification method. SIU 2017: 1-4 - 2016
- [j7]Mustafa Gökçe Baydogan, George C. Runger:
Time series representation and similarity based on local autopatterns. Data Min. Knowl. Discov. 30(2): 476-509 (2016) - 2015
- [j6]Mustafa Gökçe Baydogan, George C. Runger:
Learning a symbolic representation for multivariate time series classification. Data Min. Knowl. Discov. 29(2): 400-422 (2015) - [j5]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): 362-373 (2015) - [c2]Addicam Sanjay, Sule Balkan, Mustafa Gökçe Baydogan:
Adaptive Advertisement Recommender Systems for Digital Signage. AMCIS 2015 - 2014
- [j4]Houtao Deng, Mustafa Gökçe Baydogan, George C. Runger:
SMT: Sparse multivariate tree. Stat. Anal. Data Min. 7(1): 53-69 (2014) - 2013
- [j3]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): 2796-2802 (2013) - [c1]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: 70-71 - 2012
- [b1]Mustafa Gökçe Baydogan:
Modeling Time Series Data for Supervised Learning. Arizona State University, Tempe, USA, 2012 - 2010
- [j2]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): 99-116 (2010)
2000 – 2009
- 2009
- [j1]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): 247-260 (2009)
Coauthor Index
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