Mustafa Gökçe Baydoğan
Mustafa Gökçe Baydoğan
Assistant 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
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
Autoregressive forests for multivariate time series modeling
KS Tuncel, MG Baydogan
Pattern recognition 73, 202-215, 2018
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
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
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
Multivariate time series classification datasets
MG Baydogan
Models of dynamic relations among service activities, system state and service quality on computer and network systems
N Ye, S Yan, D Huang, M Baydogan, BM Aranda, A Roontiva, P Hurley
Information, Knowledge, Systems Management 9 (2), 99-116, 2010
The benefits of target relations: A comparison of multitask extensions and classifier chains
E Adıyeke, MG Baydoğan
Pattern Recognition 107, 107507, 2020
Modeling Time Series Data for Supervised Learning
MG Baydogan
Arizona State University, 2012
Bag Encoding Strategies in Multiple Instance Learning Problems
EŞ Küçükaşcı, MG Baydoğan
Information Sciences 467, 559 - 578, 2018
Adaptive Advertisement Recommender Systems for Digital Signage
S Addicam, S Balkan, M Baydogan
2015 Americas Conference on Information Systems, 2015
Pull-based milk-run distribution system design for a firm producing diesel injectors (Turkish: Dizel Enjektör Üretimi Yapan Bir Şirket İçin Fabrika İçi Çekme Esaslı Tekrarlı …
AT AH Akıllıoğlu, MG Baydoğan, Y Bolatlı, D Canbaz, A Halıcı, Ö Sezgin, NE ...
Ind Eng J (Turkish: Endüstri Mühendisliği Dergisi) 17 (3), 2-15, 2006
SMT: Sparse multivariate tree
H Deng, MG Baydogan, G Runger
Statistical Analysis and Data Mining 7 (1), 53-69, 2014
Affect Recognition in Learning Scenarios: Matching Facial-and BCI-Based Values
J Gonzalez-Sanchez, ME Chavez-Echeagaray, L Lin, M Baydogan, ...
13th IEEE International Conference on Advanced Learning Technologies (ICALT'13), 2013
Explainable boosted linear regression for time series forecasting
I Ilic, B Görgülü, M Cevik, MG Baydoğan
Pattern Recognition 120, 108144, 2021
Randomized Trees for Time Series Representation and Similarity
B Görgülü, MG Baydoğan
Pattern Recognition, 108097, 2021
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
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