Mehmet Fatih Akay

Publication Activity (10 Years)

Years Active: 2008-2019
Publications (10 Years): 4

Top Topics

Machine Learning

Using Artificial Neural Networks

Prediction Model

Top Venues

Turkish J. Electr. Eng. Comput. Sci.

Neural Comput. Appl.

Comput. Biol. Medicine

Publications

Fatih Abut, Mehmet Fatih Akay, James D. George
A robust ensemble feature selector based on rank aggregation for developing new VO2max prediction models using support vector machines. Turkish J. Electr. Eng. Comput. Sci. 27 (5) (2019)
Mehmet Fatih Akay, Fatih Abut, Ebru Çetin, Imdat Yarim, Boubacar Sow
Support vector machines for predicting the hamstring and quadriceps muscle strength of college-aged athletes. Turkish J. Electr. Eng. Comput. Sci. 25 (2017)
Mehmet Fatih Akay, Fatih Abut, Mikail Özçiloglu, Dan Heil
Identifying the discriminative predictors of upper body power of cross-country skiers using support vector machines combined with feature selection. Neural Comput. Appl. 27 (6) (2016)
Fatih Abut, Mehmet Fatih Akay, James D. George
max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection. Comput. Biol. Medicine 79 (2016)
Çigdem Inan Aci, Mehmet Fatih Akay
A hybrid congestion control algorithm for broadcast-based architectures with multiple input queues. J. Supercomput. 71 (5) (2015)
Incilay Yildiz, Mehmet Fatih Akay
Prediction of maximum oxygen uptake with different machine learning methods by using submaximal data. SIU (2015)
Fatih Abut, Mehmet Fatih Akay
Determination of the variables affecting the maximal oxygen uptake of cross-country skiers by using machine learning and feature selection algorithms. SIU (2015)
Derman Akgol, Mehmet Fatih Akay
Predicting upper body power of cross-country skiers using machine learning methods combined with feature selection. SIU (2015)
Shahaboddin Daneshvar, Fatih Abut, Incilay Yildiz, Mehmet Fatih Akay
Development of new upper body power prediction models for cross-country skiers by using different machine learning methods. SIU (2015)
Mustafa Açikkar, Mehmet Fatih Akay, Erman Aktürk, Merve Gulec
Intelligent regression techniques for non-exercise prediction of VO2max. SIU (2013)
Elrasheed Ismail Mohommoud Zayid, Mehmet Fatih Akay
Predicting the performance measures of a message-passing multiprocessor architecture using artificial neural networks. Neural Comput. Appl. 23 (7-8) (2013)
Mehmet Fatih Akay, Erman Aktürk, Aynur Balikci
VO2max prediction from submaximal exercise test using artificial neural network. SIU (2013)
Erman Aktürk, Mehmet Fatih Akay, Hasan Kilitcioglu
Performance comparison of different regression methods for VO2max estimation. SIU (2013)
Ece Aktarla, Mehmet Fatih Akay, Erman Aktürk, Mustafa Açikkar
Neural network based VO2max prediction models using maximal exercise and non-exercise data. SIU (2013)
Mehmet Fatih Akay, Erman Aktürk, Ali Erce Tuncdemir, Nezih Nusret Sen
Predicting VO2max from submaximal exercise and non-exercise data using artificial neural networks. SIU (2013)
Mehmet Fatih Akay, Elrasheed Ismail Mohommoud Zayid, Erman Aktürk, James D. George
max from a submaximal exercise test. Expert Syst. Appl. 38 (3) (2011)
Cigdem Inan Aci, Mehmet Fatih Akay
A new congestion control algorithm for improving the performance of a broadcast-based multiprocessor architecture. J. Parallel Distributed Comput. 70 (9) (2010)
Mehmet Fatih Akay, Ipek Abasikeles
Predicting the performance measures of an optical distributed shared memory multiprocessor by using support vector regression. Expert Syst. Appl. 37 (9) (2010)
Mehmet Fatih Akay, Ipek Abasikeles, Mustafa Oral
Application of self organizing maps for investigating network latency on a broadcast-based distributed shared memory multiprocessor. Expert Syst. Appl. 37 (4) (2010)
Ipek Abasikeles, Mehmet Fatih Akay
Performance evaluation of directory protocols on an optical broadcast-based distributed shared memory multiprocessor. Comput. Electr. Eng. 36 (1) (2010)
Mustafa Açikkar, Mehmet Fatih Akay, Kerem Tuncay Ozgunen, Kadir Aydin, Sanli Sadi Kurdak
Support vector machines for aerobic fitness prediction of athletes. Expert Syst. Appl. 36 (2) (2009)
Mehmet Fatih Akay, Cigdem Inan Aci, Danielle I. Bradshaw, James D. George
max. Expert Syst. Appl. 36 (6) (2009)
Mustafa Açikkar, Mehmet Fatih Akay
Support vector machines for predicting the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University. Expert Syst. Appl. 36 (3) (2009)
Mehmet Fatih Akay
Support vector machines combined with feature selection for breast cancer diagnosis. Expert Syst. Appl. 36 (2) (2009)
Mehmet Fatih Akay, Constantine Katsinis
Performance improvement of parallel programs on a broadcast-based distributed shared memory multiprocessor by simulation. Simul. Model. Pract. Theory 16 (3) (2008)
Mehmet Fatih Akay, Constantine Katsinis
Contention resolution on a broadcast-based distributed shared memory multiprocessor. IET Comput. Digit. Tech. 2 (1) (2008)