Mustafa Gökçe Baydoğan
Mustafa Gökçe Baydoğan
Associate Professor of Industrial Engineering, Boğaziçi University
Verified email at - Homepage
Cited by
Cited by
A bag-of-features framework to classify time series
M Baydogan, G Runger, E Tuv
IEEE Transactions on Pattern Analysis and Machine Intelligence 35 (11), 2796 …, 2013
Learning a symbolic representation for multivariate time series classification
MG Baydogan, G Runger
Data Mining and Knowledge Discovery 29 (2), 400-422, 2015
Time series representation and similarity based on local autopatterns
MG Baydogan, G Runger
Data Mining and Knowledge Discovery 30 (2), 476-509, 2016
Autoregressive forests for multivariate time series modeling
KS Tuncel, MG Baydogan
Pattern recognition 73, 202-215, 2018
Toward development of adaptive service-based software systems
SS Yau, N Ye, HS Sarjoughian, D Huang, A Roontiva, M Baydogan, ...
IEEE transactions on services computing 2 (3), 247-260, 2009
Explainable boosted linear regression for time series forecasting
I Ilic, B Görgülü, M Cevik, MG Baydoğan
Pattern Recognition 120, 108144, 2021
Affect measurement: A roadmap through approaches, technologies, and data analysis
J Gonzalez-Sanchez, M Baydogan, ME Chavez-Echeagaray, RK Atkinson, ...
Emotions and affect in human factors and human-computer interaction, 255-288, 2017
Multivariate time series classification datasets
MG Baydogan, 2015
A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems
N Zou, Y Zhu, J Zhu, M Baydogan, W Wang, J Li
Technometrics 57 (3), 362-373, 2015
Metabolic connectivity as index of verbal working memory
N Zou, G Chetelat, MG Baydogan, J Li, FU Fischer, D Titov, J Dukart, ...
Journal of Cerebral Blood Flow & Metabolism 35 (7), 1122-1126, 2015
The benefits of target relations: A comparison of multitask extensions and classifier chains
E Adıyeke, MG Baydoğan
Pattern Recognition 107, 107507, 2020
Bag Encoding Strategies in Multiple Instance Learning Problems
EŞ Küçükaşcı, MG Baydoğan
Information Sciences 467, 559 - 578, 2018
nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series
H Jahanshahi, MG Baydogan
Neurocomputing 494, 224-241, 2022
A new feature-based time series classification method by using scale-space extrema
T Altay, MG Baydoğan
Engineering Science and Technology, an International Journal 24 (6), 1490-1497, 2021
Multivariate time series classification datasets (2015)
MG Baydogan
URL http://mustafabaydogan. com.[Accessed: 2020-02-05], 2020
Estimation of influence distance of bus stops using bus GPS data and bus stop properties
I Gokasar, Y Cetinel, MG Baydogan
IEEE Transactions on Intelligent Transportation Systems 20 (12), 4635-4642, 2019
Semi-supervised extensions of multi-task tree ensembles
E Adıyeke, MG Baydoğan
Pattern Recognition, 108393, 2022
An ensemble-based semi-supervised feature ranking for multi-target regression problems
E Adıyeke, MG Baydoğan
Pattern Recognition Letters 148, 36-42, 2021
SMT: Sparse multivariate tree
H Deng, MG Baydogan, G Runger
Statistical Analysis and Data Mining 7 (1), 53-69, 2014
Modeling Time Series Data for Supervised Learning
MG Baydogan
Arizona State University, 2012
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