Active inference and dynamic gaussian bayesian networks for battery optimization in wireless sensor networks C Komurlu, M Bilgic Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 19 | 2016 |
CHISSL: A human-machine collaboration space for unsupervised learning D Arendt, C Komurlu, LM Blaha Augmented Cognition. Neurocognition and Machine Learning: 11th International …, 2017 | 9 | 2017 |
Active inference for dynamic Bayesian networks with an application to tissue engineering C Komurlu, J Shao, B Akar, ES Bayrak, EM Brey, A Cinar, M Bilgic Knowledge and Information Systems 50, 917-943, 2017 | 7 | 2017 |
Dynamic Bayesian Network Modeling of Vascularization in Engineered Tissues. C Komurlu, J Shao, M Bilgic BMA@ UAI, 89-98, 2014 | 6 | 2014 |
Protein Function Prediction with Amino Acid Sequence and Secondary Structure Alignment Scores E Aygün, C Kömürlü, Z Aydin, Z Çataltepe HIBIT 2008, 18-20, 2008 | 4 | 2008 |
Dimensionality Reduction for Protein Function Prediction Z Cataltepe, E Aygun, A Filiz, O Keskin, C Komurlu, Y Altunbasak Automated Function Prediction (AFP)/Biosapiens Joint Special Interest Group …, 2007 | 2 | 2007 |
Active Inference for Predictive Models of Spatio-Temporal Domains C Komurlu Illinois Institute of Technology, 2019 | | 2019 |
Saklı Markov Modelleri Kullanarak Protein Fonksiyon Öngörüsü C Kömürlü Bilişim Enstitüsü, 2016 | | 2016 |
Active Inference for Dynamic Bayesian Networks. C Komurlu IJCAI, 4008-4009, 2016 | | 2016 |
Protein function prediction using hidden Markov models C Kömürlü Bilişim Enstitüsü, 2008 | | 2008 |
A Bayesian Network Tool to Assess the Survivability of Time-Bounded K-Variant Systems B Bekiroglu, C Komurlu Available at SSRN 4165788, 0 | | |