Deep Learning with Multivariate Adaptive Regression Spline with Bagging Methods

2021-09-01
Kaygusuz, Mehmet Ali
Somuncuoğlu, Abdullah Nuri
Purutçuoğlu Gazi, Vilda
The Second International Conference on Applied Mathematics in Engineering

Suggestions

Deep Learning Based Speed Up of Fluid Dynamics Solvers
Acar, Deniz Alper; Uzol, Oğuz; Department of Aerospace Engineering (2022-9-8)
In this thesis, two distinct deep learning-based methods for the speed-up of fluid dynamics solvers are proposed. The first method called Parametric Encoded Physics informed neural network (PEPINN), is utilized to solve transient fluid dynamics problems. PEPINN is an alternative to the Physics informed neural networks (PINN) and is based on the parametric encoding of the problem domain. In PEPINN the automatic differentiation for calculation of the problem residual is replaced with finite difference kernel...
Deep Learning Image Transmission Through a Multi-mode Fiber
Kürekci, Şahin; Odabaş, M. Ekrem; Yüce, Emre (2019-09-06)
DEEP LEARNING-BASED UNROLLED RECONSTRUCTION METHODS FOR COMPUTATIONAL IMAGING
Bezek, Can Deniz; Öktem, Sevinç Figen; Department of Electrical and Electronics Engineering (2021-9-08)
Computational imaging is the process of forming images from indirect measurements using computation. In this thesis, we develop deep learning-based unrolled reconstruction methods for various computational imaging modalities. Firstly, we develop two deep learning-based reconstruction methods for diffractive multi-spectral imaging. The first approach is based on plug-and-play regularization with deep denoisers whereas the second one is an end-to-end learned reconstruction based on unrolling. Secondly, we con...
Deep neural networks for faster nonparametric regression
Kaygusuz, Mehmet Ali; Purutçuoğlu Gazi, Vilda (2021-07-19)
Deep Learning Techniques and Optimization Strategies in Big Data Analytics
Thomas ,, J. Joshua; Karagöz, Pınar; Ahmad, Bazeer; Vasant, Pandian (IGI Global, 2020-01-01)
Citation Formats
M. A. Kaygusuz, A. N. Somuncuoğlu, and V. Purutçuoğlu Gazi, “Deep Learning with Multivariate Adaptive Regression Spline with Bagging Methods,” presented at the The Second International Conference on Applied Mathematics in Engineering, Balıkesir, Türkiye, 2021, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/99846.