Ö. Soysal

发表

Video mining for facial action unit classification using statistical spatial–temporal feature image and LoG deep convolutional neural network

M. Z. Lifkooee, Ö. Soysal, Kazim Sekeroglu, 2018, Machine Vision and Applications.

Object recognition by spectral feature derived from canonical shape representation

Jianhua Chen, Ö. Soysal, 2013, Machine Vision and Applications.

Weight Perception Analysis using Electroencephalographic Signals : Full/regular papers, CSCI-ISPC

Ömer M. Soysal, Murtaza Aslam, Fozia Rajbdad, 2021, 2021 International Conference on Computational Science and Computational Intelligence (CSCI).

A methodology for comparing classification methods through the assessment of model stability and validity in variable selection

Helmut Schneider, Ömer M. Soysal, J. Shreve, 2011, Decis. Support Syst..

A sparse memory allocation data structure for sequential and parallel association rule mining

Ö. Soysal, Eera Gupta, Harisha Donepudi, 2016, The Journal of Supercomputing.

Association rule mining with mostly associated sequential patterns

Ömer M. Soysal, Ö. Soysal, 2015, Expert Syst. Appl..

Facial Action Unit Recognition Using Data Mining Integrated Deep Learning

Shahrzad Shirzad, Kazim Sekeroglu, Ömer M. Soysal, 2017, 2017 International Conference on Computational Science and Computational Intelligence (CSCI).

Image Retrieval using Canonical Cyclic String Representation of Polygons

Bahadir K. Gunturk, Ömer M. Soysal, Kenneth L. Matthews, 2006, 2006 International Conference on Image Processing.

Quantifying Brain Activity State: EEG analysis of Background Music in A Serious Game on Attention of Children

Jianhua Chen, Fettah Kiran, Ö. Soysal, 2020, 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).

Multi-Perspective Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification

Ö. Soysal, Kazim Sekeroglu, 2022, Sensors.

Video mining for facial action unit classification using statistical spatial–temporal feature image and LoG deep convolutional neural network

Ömer M. Soysal, Kazim Sekeroglu, Masoud Z. Lifkooee, 2018, Machine Vision and Applications.

Determination of Traffic Accident Black Spot Based on Geographical Information System: The Empirical Bayes Application

Ömer M. Soysal, M. Uysal, H. Akbulut, 2015 .

Weight Perception Analysis using Electroencephalographic Signals : Full/regular papers, CSCI-ISPC

Murtaza Aslam, Fozia Rajbdad, Ö. Soysal, 2021, 2021 International Conference on Computational Science and Computational Intelligence (CSCI).