Mustafa Gökçe Baydogan

Orcid: 0000-0001-6324-6575

According to our database1, Mustafa Gökçe Baydogan authored at least 29 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Column generation-based prototype learning for optimizing area under the receiver operating characteristic curve.
Eur. J. Oper. Res., April, 2024

Output-Constrained Decision Trees.
CoRR, 2024

Smooth Ranking SVM via Cutting-Plane Method.
CoRR, 2024

2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting.
CoRR, 2023

2022
Semi-supervised extensions of multi-task tree ensembles.
Pattern Recognit., 2022

Multiple instance classification via quadratic programming.
J. Glob. Optim., 2022

nTreeClus: A tree-based sequence encoder for clustering categorical series.
Neurocomputing, 2022

2021
An ensemble-based semi-supervised feature ranking for multi-target regression problems.
Pattern Recognit. Lett., 2021

Explainable boosted linear regression for time series forecasting.
Pattern Recognit., 2021

Randomized trees for time series representation and similarity.
Pattern Recognit., 2021

Learning prototypes for multiple instance learning.
Turkish J. Electr. Eng. Comput. Sci., 2021

A linear programming approach to multiple instance learning.
Turkish J. Electr. Eng. Comput. Sci., 2021

2020
The benefits of target relations: A comparison of multitask extensions and classifier chains.
Pattern Recognit., 2020

2019
Estimation of Influence Distance of Bus Stops Using Bus GPS Data and Bus Stop Properties.
IEEE Trans. Intell. Transp. Syst., 2019

Learning Maximally Predictive Prototypes in Multiple Instance Learning.
CoRR, 2019

2018
Autoregressive forests for multivariate time series modeling.
Pattern Recognit., 2018

A Data Adaptive Biological Sequence Representation for Supervised Learning.
J. Heal. Informatics Res., 2018

Bag encoding strategies in multiple instance learning problems.
Inf. Sci., 2018

2017
A scale-space theory and bag-of-features based time series classification method.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016
Time series representation and similarity based on local autopatterns.
Data Min. Knowl. Discov., 2016

2015
A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems.
Technometrics, 2015

Learning a symbolic representation for multivariate time series classification.
Data Min. Knowl. Discov., 2015

Adaptive Advertisement Recommender Systems for Digital Signage.
Proceedings of the 21st Americas Conference on Information Systems, 2015

2014
SMT: Sparse multivariate tree.
Stat. Anal. Data Min., 2014

2013
A Bag-of-Features Framework to Classify Time Series.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Affect Recognition in Learning Scenarios: Matching Facial- and BCI-Based Values.
Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, 2013

2012
Modeling Time Series Data for Supervised Learning.
PhD thesis, 2012

2010
Models of dynamic relations among service activities, system state and service quality on computer and network systems.
Inf. Knowl. Syst. Manag., 2010

2009
Toward Development of Adaptive Service-Based Software Systems.
IEEE Trans. Serv. Comput., 2009


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