SCI, SSCI ve AHCI İndekslerine Giren Dergilerde Yayınlanan Makaleler
A robust ensemble feature selector based on rank aggregation for developing new VO(2)max prediction models using support vector machines
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
, cilt.27, sa.5, ss.3648-3664, 2019 (SCI-Expanded)
Support vector machines for predicting the hamstring and quadriceps muscle strength of college-aged athletes
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
, cilt.25, sa.4, ss.2567-2582, 2017 (SCI-Expanded)
Diğer Dergilerde Yayınlanan Makaleler
LSTM Hyperparameters optimization with Hparam parameters for Bitcoin Price Prediction
Sakarya University Journal of Computer and Information Sciences (Online)
, cilt.6, sa.1, ss.1-9, 2023 (Hakemli Dergi)
SOBE: A Fraud Detection Platform in Insurance Industry
Kocaeli Journal of Science and Engineering
, cilt.0, sa.0, ss.1-7, 2022 (Hakemli Dergi)
Brand Propensity Prediction with Click-Through Rate as a Target
Kocaeli Journal of Science and Engineering
, cilt.0, sa.0, ss.1-6, 2022 (Hakemli Dergi)
Forecasting Call Center Arrivals Using XGBoost Combined with Consecutive and Periodic Lookback
Eastern Anatolian Journal of Science
, cilt.8, sa.1, ss.20-25, 2022 (Hakemli Dergi)
C-Scripter: A Dynamic Call Center Scripting Application
Eastern Anatolian Journal of Science
, cilt.7, sa.1, ss.1-5, 2021 (Hakemli Dergi)
Autonomous Navigation in Search and Rescue Simulated Environment using Deep Reinforcement Learning
Balkan Journal of Electrical and Computer Engineering
, cilt.9, sa.2, ss.92-98, 2021 (Hakemli Dergi)
Development of Internet Traffic Prediction Software Using Time-Series Multilayer Perceptron
GÜMÜŞHANE ÜNİVERSİTESİ FEN BİLİMLERİ ENSTİTÜSÜ DERGİSİ
, sa.238, ss.1-6, 2018 (Hakemli Dergi)
Estimating the maximal oxygen uptake with new prediction models for college-aged students using feature selection algorithm
New Trends and Issues Proceedings on Humanities and Social Sciences
, cilt.5, sa.4, ss.52-57, 2018 (Hakemli Dergi)
Predicting Student’s Pass/Fail Status in an Academic Course Using Deep Learning: A Case Study
International Journal of Scientific Research in Information Systems and Engineering
, cilt.4, sa.1, ss.87-91, 2018 (Hakemli Dergi)
New Prediction Models for the Maximal Oxygen Uptake of College-aged Students Using Non-Exercise Data
New Trends and Issues Proceedings on Humanities and Social Sciences
, cilt.4, sa.4, ss.1-5, 2017 (Hakemli Dergi)
A Survey on Applications of Statistical and Machine Learning Methodsin Sport Physiology
Austin Sports Medicine
, cilt.2, sa.3, ss.1022-1027, 2017 (Hakemli Dergi)
New Regression Models for Predicting the Hamstring Muscle Strength Using Support Vector Machines
Çukurova University Journal of the Faculty of Engineering and Architecture
, cilt.31, sa.2, ss.153-159, 2016 (Hakemli Dergi)
Short Term Voice Traffic Forecast in 3G/UMTS Networks using Machine Learning and Statistical Methods
International Journal of Advances in Electronics and Computer Science
, cilt.3, sa.10, ss.108-111, 2016 (Hakemli Dergi)
Hakemli Kongre / Sempozyum Bildiri Kitaplarında Yer Alan Yayınlar
Information Extraction from Policy Documents Using Object Detection and Domain-Specific BERT
3rd International Eurasian Conference on Science, Engineering and Technology (EurasianSciEnTech 2021), Ankara, Türkiye, 15 Aralık 2021, ss.789-794
Forecasting the System Marginal Price Using Long Short-Term Memory and Support Vector Machine
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 - 27 Ekim 2021, ss.628-633
Improving the Shipment Management Using Shipment Approval Cockpit in the Order Process
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 Ekim 2021, ss.652-655
Improving the Order Picking Process in Warehouse Systems Using Distance Matrix
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 Ekim 2021, ss.96-101
Simplifying and Speeding Up the Finding of Real Estate Listings for End-Users
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 Ekim 2021, ss.657-660
Developing Customer Segmentation Models for Digital Marketing Campaigns using Machine Learning
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 Ekim 2021, ss.697-701
Development of Mobile Applications for Real Estate Businesses
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 Ekim 2021, ss.419-423
Designing a Modern Gateway Device for Cloud Platforms
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.123-132
DBTransporter: An Interoperable Application for Transferring Data Between Databases Running on Different Machines
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.164-171
Loyalist365: A Loyalty Management Application
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.155-163
Replatforming and Online Renewal Project for Real Estate Businesses
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.133-139
Orion: A Supplier Capacity Planning Model
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.140-147
Orchestra: A Warehouse Order Management System
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.148-154
Akıllı Hat: A Call Measurement and Reporting Application
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.172-179
Forecasting Arrivals to a Call Center Using Supervised Machine Learning
International Conference on Interdisciplinary Applications of Artificial Intelligence (ICIDAAI-2021), Yalova, Türkiye, 21 - 23 Mayıs 2021, ss.170-173
Developing an Identification Application for Overdress Products Using Convolutional Neural Networks
International Conference on Interdisciplinary Applications of Artificial Intelligence (ICIDAAI-2021), Yalova, Türkiye, 21 - 23 Mayıs 2021, ss.166-169
Fashion-Oriented Personalized Search Engine Development
International Conference on Computational Mathematics and Engineering Sciences (CMES-2021), Van, Türkiye, 01 Mayıs 2021
Estimating the Maximal Oxygen Uptake with New Prediction Models for College-aged Students Using Feature Selection Algorithm
7 thCyprus International Conference on Educational Research, Girne, Kıbrıs (Kktc), 7 - 09 Haziran 2018, ss.20
PREDICTION OF HAMSTRING AND QUADRICEPS MUSCLE STRENGTH USING MULTIPLE LINEAR REGRESSION
THE THIRD INTERNATIONAL CONFERENCE ON COMPUTATIONAL MATHEMATICS AND ENGINEERING SCIENCES, Girne, Kıbrıs (Kktc), 4 - 06 Mayıs 2018, ss.223
DEVELOPMENT OF PHYSICAL FITNESS PREDICTION MODELS FOR TURKISH SECONDARY SCHOOL STUDENTS USING MACHINE LEARNING METHODS
THE THIRD INTERNATIONAL CONFERENCE ON COMPUTATIONAL MATHEMATICS AND ENGINEERING SCIENCES, Girne, Kıbrıs (Kktc), 4 - 06 Mayıs 2018, ss.224
DEVELOPMENT OF INTERNET TRAFFIC PREDICTION SOFTWARE USING TIME-SERIES MULTILAYER PERCEPTRON
THE THIRD INTERNATIONAL CONFERENCE ON COMPUTATIONAL MATHEMATICS AND ENGINEERING SCIENCES, Girne, Kıbrıs (Kktc), 4 - 06 Mayıs 2018, ss.225
Multilayer Perceptron Models for Investigating the Effect of Body Mass Index on Predicting the Quadriceps Strength of Athletes
Fifth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2017), Girne, Kıbrıs (Kktc), 1 - 03 Kasım 2017, ss.50
Predicting a Student?s Pass/Fail Status in an Academic Course Using Deep Learning: A Case Study
Fifth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2017), Girne, Kıbrıs (Kktc), 1 - 03 Kasım 2017, ss.49
Predicting students pass/fail status in an academic course using deep learning: A case study
Intl. Symposium on Engineering, Artificial Intelligence Applications (ISEAIA-17), Girne, Kıbrıs (Kktc), 1 - 03 Kasım 2017, ss.189-194
Web-based Maximal Oxygen Uptake Calculator Using Multilayer Perceptron and Non-Exercise Data
2nd International Mediterranean Science and Engineering Congress (IMSEC 2017), Adana, Türkiye, 25 - 27 Ekim 2017, ss.126
Predicting the Maximal Oxygen Uptake Using Deep Learning
2nd International Mediterranean Science and Engineering Congress (IMSEC 2017), Adana, Türkiye, 25 - 27 Ekim 2017, ss.119
Development of Novel Maximal Oxygen Uptake Prediction Models for Turkish College Students Using MachineLearning and Exercise Data
2nd International Mediterranean Science and Engineering Congress (IMSEC 2017), Adana, Türkiye, 25 - 27 Ekim 2017, ss.121-125
Prediction of Resonant Frequency for Cylindrical Dielectric Resonators Using Support Vector Machine Combinedwith a Feature Selection Algorithm
2nd International Mediterranean Science and Engineering Congress (IMSEC 2017), Adana, Türkiye, 25 - 27 Ekim 2017, ss.1151
Predicting the Pass/Fail Status of College Students from the Probability and Statistics Course Using MachineLearning Methods
2nd International Mediterranean Science and Engineering Congress (IMSEC 2017), Adana, Türkiye, 25 - 27 Ekim 2017, ss.43
Artificial Neural Networks for Predicting the Racing Time of Cross-Country Skiers from Survey-Based Data
9th IEEE International Conference on Computational Intelligence and Communication Networks, Girne, Kıbrıs (Kktc), 16 - 17 Eylül 2017, ss.1
Predicting the Maximum Endurance Time for Left-Side Bridge Exercise Using Machine Learning Methods and Hybrid Data
The 9th International Conference on Computational Intelligence and Communication Networks (CICN 2017), Girne, Kıbrıs (Kktc), 16 - 17 Eylül 2017, ss.96-100
EXPLORING THE MOTIVATION OF COLLEGE STUDENTS TOWARD ENGLISH MEDIUM INSTRUCTION USING GMDH POLYNOMIAL NETWORK
6th Cyprus International Conference on Educational Research (CYICER-2017), Girne, Kıbrıs (Kktc), 3 - 05 Mayıs 2017, ss.1
New Prediction Models for the Maximal Oxygen Uptake of College-aged Students Using Non-Exercise Data
6th Cyprus International Conference on Educational Research (CYICER-2017), Girne, Kıbrıs (Kktc), 3 - 05 Mayıs 2017, ss.1
INVESTIGATING THE EFFECT OF SPORT BRANCH ON PREDICTING THE QUADRICEPS STRENGTH OF ATHLETES USING SUPPORT VECTOR MACHINES
6th Cyprus International Conference on Educational Research (CYICER-2017), Girne, Kıbrıs (Kktc), 3 - 05 Mayıs 2017, ss.50
A Case Study for the Application of Artificial Neural Networks in Sports Science Education and Research
6th Cyprus International Conference on Educational Research (CYICER-2017), Girne, Kıbrıs (Kktc), 3 - 05 Mayıs 2017, ss.1
Maximum-Likelihood Feature Selection for Prediction of Maximal Oxygen Uptake Using Support Vector Machines
6th Cyprus International Conference on Educational Research (CYICER-2017), Girne, Kıbrıs (Kktc), 3 - 05 Mayıs 2017, ss.1
Minimum-Redundancy Maximum-Relevance Feature Selection for Creating New Hybrid Models for Predicting Maximal Oxygen Uptake Using Support Vector Machines
Fourth International Symposium on Engineering, Artificial Intelligence and Applications, Girne, Kıbrıs (Kktc), 2 - 04 Kasım 2016, ss.21-22
Clustering Algorithms on the Performance Measures for a Message Passing Multiprocessor Architecture
Fourth International Symposium on Engineering, Artificial Intelligence and Applications, Girne, Kıbrıs (Kktc), 2 - 04 Kasım 2016, ss.17-18
Support Vector Machines for Predicting The Motivation Level of College Students on English Medium Instruction
Fourth International Symposium on Engineering, Artificial Intelligence and Applications, Girne, Kıbrıs (Kktc), 2 - 04 Kasım 2016, ss.15-16
Development of New Maximum Oxygen Uptake Prediction Models For Turkish College Students Using Support Vector Machines and Submaximal Data
Fourth International Symposium on Engineering, Artificial Intelligence and Applications, Girne, Kıbrıs (Kktc), 2 - 04 Kasım 2016, ss.19-20
Predicting the Upper Body Power of Cross Country Skiers Using Support Vector Machines Combined with Correlation-based Feature Subset Selection
Fourth International Symposium on Engineering, Artificial Intelligence and Applications, Girne, Kıbrıs (Kktc), 2 - 04 Kasım 2016, ss.13-14
Development of an Intelligent Internet Traffic Prediction and Forecasting Software
1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Türkiye, 26 - 28 Ekim 2016, ss.1
Predicting the Muscular Endurance Time Using Gene Expression Programming
1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Türkiye, 26 - 28 Ekim 2016, ss.1
New Prediction Equations for Estimating the Maximal Oxygen Consumption of College-aged Students Using Hybrid Data
1st International Mediterranean Science and Engineering Congress (IMSEC-2016), Adana, Türkiye, 26 - 28 Ekim 2016, ss.1
Short Term Voice Traffic Forecast in 3G/UMTS Networks Using Machine Learning and Statistical Methods
71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, İspanya, 18 - 19 Ağustos 2016, ss.19-22
Network Traffic Forecasting Using Machine Learning and Statistical Regression Methods Combined with Different Time Lags
71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, İspanya, 18 - 19 Ağustos 2016, ss.1-4
Short Term Voice Traffic Forecast in 3G/UMTS Networks using Machine Learning and Statistical Methods
Intl. Conference on Artificial Intelligence and Soft Computing (ICAISC-16), Barcelona, İspanya, 18 - 19 Ağustos 2016, ss.19-22
Support Vector Machines with Individual Combinations of Relief-F and mRMR for Predicting VO2max from Maximal and Questionnaire Data
71st International Conference on Artificial Intelligence and Soft Computing (ICAISC-2016), Barcelona, İspanya, 18 - 19 Ağustos 2016, ss.1-4
Support Vector Machines with Individual Combinations of Relief-F And mRMR for Predicting VO2max from Maximal and Questionnaire Data
Intl. Conference on Artificial Intelligence and Soft Computing (ICAISC-16), Barcelona, İspanya, 17 - 18 Ağustos 2016, ss.9-13
New Regression Equations for Estimating the Maximal Oxygen Uptake of College of Physical Education and Sports Students in Turkey
5th Cyprus International Conference on Educational Research, Girne, Kıbrıs (Kktc), 31 Mart - 02 Nisan 2016, ss.164
On the Application Artificial Intelligence and Feature Selection in Sports Science Education and Research A Case Study
5th Cyprus International Conference on Educational Research, 1 - 02 Nisan 2016, ss.157
On the Application of Artificial Intelligence and Feature Selection in Sports Science Education and Research: A Case Study
5th Cyprus International Conference on Educational Research, Girne, Kıbrıs (Kktc), 31 Mart - 02 Nisan 2016, ss.10-14
Development of New Hybrid Admission Decision Prediction Models Using Different Machine Learning Methods Combined with Feature Selection
5th Cyprus International Conference on Educational Research, Girne, Kıbrıs (Kktc), 31 Mart - 02 Nisan 2016, ss.1-4
New Regression Equations for Estimating the Maximal Oxygen Uptake of College of Physical Education and Sports Students in Turkey
5th Cyprus International Conference on Educational Research, Girne, Kıbrıs (Kktc), 31 Mart - 02 Nisan 2016, ss.4-7
Performance Comparison of Machine Learning Methods and Different Time Lags for Network Traffic Forecasting
International Conference on Natural Science and Engineering, 19 - 20 Mart 2016, ss.177-183
Predicting the Resonant Frequency and Q-Factor of Cylindrical Dielectric Resonators with Whispering Gallery Modes Using Tree-Structured Regression Methods
International Conference on Natural Science and Engineering (ICNASE?16), Kilis, Türkiye, 19 - 20 Mart 2016, ss.170-176
Tree Based Methods Combined with Feature Selection for Predicting Upper Body Power of Cross Country Skiers
International Conference on Natural Science and Engineering, 19 - 20 Mart 2016, ss.184-190
Investigating the Effect of Predictor Variables on Admission Decision Using Machine Learning Methods Combined with Feature Selection
International Conference on Natural Science and Engineering, 19 - 20 Mart 2016, ss.191-197
Multilayer Feed-Forward Neural Networks for Predicting the Average Network Latency of a 2-Dimensional Distributed Shared Memory Multiprocessor
International Conference on Natural Science and Engineering (ICNASE?16), Kilis, Türkiye, 19 - 20 Mart 2016, ss.50
Development of New Prediction Models for Maximal Oxygen Uptake Using Artificial Intelligence Methods
International Conference on Natural Science and Engineering (ICNASE?16), Kilis, Türkiye, 19 - 20 Mart 2016, ss.988-986
Predicting the Resonant Frequency and Q-Factor of Cylindrical Dielectric Resonators with Whispering Gallery Modes Using Tree-Structured Regression Methods
Intl. Conference on Natural Science and Engineering (ICNASE-16), Kilis, Türkiye, 19 - 20 Mart 2016, ss.170-176
Data-driven Prediction of VO2max Based on Maximal and Submaximal Variables Using Support Vector Machines Combined with Feature Selection
3rd International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA-15), Girne, Kıbrıs (Kktc), 4 - 06 Kasım 2015, ss.10-11
Data-driven Prediction of VO2max based on Maximal and Submaximal Variables Using Support Vector Machines Combined with Feature Selection
Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), Girne, Kıbrıs (Kktc), 4 - 06 Kasım 2015, ss.7
Artificial Neural Networks for Predicting the Resonant Frequency and Q-Factor of Whispering Gallery Mode Cylindrical Dielectric Resonators
Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), Girne, Kıbrıs (Kktc), 4 - 06 Kasım 2015, ss.3
Performance Comparison of Different Machine Learning Methods for Network Traffic Forecasting
Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), Girne, Kıbrıs (Kktc), 4 - 06 Kasım 2015, ss.2
A New Data Reduction Algorithm for Improving the Performance of Support Vector Machines on Maximal Oxygen Uptake Prediction
Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), Girne, Kıbrıs (Kktc), 4 - 06 Kasım 2015, ss.5
Support Vector Machines for Prediction of Endurance Times Involving Isometric Side Bridge Exercise Test
Intl. Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA-15), Girne, Kıbrıs (Kktc), 4 - 06 Kasım 2015, ss.7-9
New Prediction Models for Upper Body Power of Cross-Country Skiers Using Machine Learning Methods with Minimum-Redundancy Maximum-Relevance Feature Selection Algorithm
Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), Girne, Kıbrıs (Kktc), 4 - 06 Kasım 2015, ss.1
"Data-Driven Modeling of Quadriceps and Hamstring Muscle Strength Using Support Vector Machines
Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), Girne, Kıbrıs (Kktc), 4 - 06 Kasım 2015, ss.4
Support Vector Machines for Prediction of Endurance Times Involving Isometric Side Bridge Exercise Test
Third International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2015), Girne, Kıbrıs (Kktc), 4 - 06 Kasım 2015, ss.6
Kros Kayakçılarda Maksimum Oksijen Tüketimine Etki Eden Değişkenlerin Makine Öğrenme ve Nitelik Seçme Algoritmalarıyla Belirlenmesi
IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, Türkiye, 16 - 19 Mayıs 2015, ss.60-63
Farklı Makine Öğrenme Yöntemleri Kullanarak Egzersize Dayalı Olmayan Yeni Maksimum Oksijen Tüketim Tahmin Modellerinin Geliştirilmesi
IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, Türkiye, 16 - 19 Mayıs 2015, ss.100-103
Farklı Makine Öğrenme Yöntemleri ile Kros Kayakçılar için Yeni Üst Vücut Gücü Tahmin Modellerinin Geliştirilmesi
IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, Türkiye, 16 - 19 Mayıs 2015, ss.164-167
Submaksimal Veriler Kullanılarak Farkı Makine Ögrenme Yöntemleri İle Maksimum Oksijen Tüketiminin Tahmin Edilmesi
IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, Türkiye, 16 - 19 Mayıs 2015, ss.88-91
Nitelik Seçme ile Birleştirilmiş Makine Öğrenme Yöntemleri ile Kros Kayakçıların Üst Vücut Gücünün Tahmin Edilmesi
IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, Türkiye, 16 - 19 Mayıs 2015, ss.52-55
Kros Kayakçıların Maksimum Oksijen Alımı Tahmini İçin Farklı Regresyon Yöntemlerinin Performans Karşılaştırması
IEEE 23. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SIU2015, Türkiye, 16 - 19 Mayıs 2015, ss.72-75
Predicting the processor and channel utilization of a 2-dimensional multiprocessor architecture by using support vector regression combined with feature selection
8th Engineering and Technology Symposium, Ankara, Türkiye, 14 - 15 Mayıs 2015, ss.5-10
High performance message passing over a parallel multiprocessor architecture
8th Engineering and Technology Symposium, Ankara, Türkiye, 14 - 15 Mayıs 2015, ss.1-5
Performance comparison of different machine learning methods for prediction of maximal oxygen uptake from submaximal data
8th Engineering and Technology Symposium, Ankara, Türkiye, 14 - 15 Mayıs 2015, ss.10-15
Predicting the Processor and Channel Utilization of a 2-Dimensional Multiprocessor Architecture by Using Support Vector Regression Combined with Feature Selection
8th Engineering and Technology Symposium (ETS-15), Ankara, Türkiye, 14 - 15 Mayıs 2015, ss.395-399
Performance Comparison of Different Machine Learning Methods for Prediction of Maximal Oxygen Uptake from Submaximal Data
8th Engineering and Technology Symposium (ETS-15), Ankara, Türkiye, 14 - 15 Mayıs 2015, ss.367-370
Development of New Hybrid Models for Prediction of Maximal Oxygen Uptake Using Machine Learning Methods Combined with Feature Selection
Intl. Symposium on Sport Science, Engineering and Technology (ISSSET-15), İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.163-170
Development of New Hybrid Models for Prediction of Maximum Oxygen Uptake Using Machine Learning Methods Combined with Feature Selection
1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.1-5
Performance Evaluation of Different Classifiers for Predicting the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University
1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10 - 13 Mayıs 2015, ss.178-184
Feature selection for prediction of upper body power of cross-country skiers using different machine learning methods
1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), Istanbul, 10-13 May 2015., İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.1-5
Investigating the Effects of Body Mass Index and Location Variables on the Prediction of Maximal Oxygen Uptake Using Support Vector Machines
1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.15-20
Performance Evaluation of Different Classifiers to Predict the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University
Intl. Symposium on Sport Science, Engineering and Technology (ISSSET-15), İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.178-184
Feature Selection for Prediction of Upper Body Power of Cross-Country Skiers Using Different Machine Learning Methods
Intl. Symposium on Sport Science, Engineering and Technology (ISSSET-15), İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.82-89
Investigating the Effects of Body Mass Index and Location Variables on the Prediction of Maximal Oxygen Uptake Using Support Vector Machines
Intl. Symposium on Sport Science, Engineering and Technology (ISSSET-15), İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.54-61
Development of New Models for Predicting Upper Body Power of Cross-Country Skiers Using Machine Learning Methods
1st International Symposium on Sport Science, Engineering and Technology (ISSSET2015), İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.5-10
Investigating the Effects of Maximum Oxygen Uptake and Maximum Heart Rate Variables on the Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines
2nd Intl. Symposium on Engineering, Artificial Intelligence and Applications, Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.8-9
Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines Combined with Feature Selection
Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014),, Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.1
Development of New Non-Exercise Maximal Oxygen Uptake Models by Using Support Vector Machines
Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014),, Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.1
Prediction of Maximal Oxygen Uptake of Cross-Country Skiers Using Different Regression Methods
Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014),, Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.1
Performance Comparison of Different Regression Methods for Maximal Oxygen Uptake Prediction
Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014),, Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.1
Using support vector machines to predict maximal oxygen uptake with the help of questionnaire variables
Intl. Symposium on Engineering,Artificial Intelligence and Applications (ISEAIA-14), Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.5-6
Support Vector Machines Combined with Feature Selection for Prediction of Maximal Oxygen Uptake
Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014),, Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.1
Performance Comparison of Different Regression Methods for Predicting the Performance Measures of a Multiprocessor Architecture
Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), North Cyprus, 5 - 07 Kasım 2014, ss.19-20
Using Support Vector Machines to Predict Maximal Oxygen Uptake with the Help of Questionnaire Variables
Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014),, Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.1
Predicting the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University by Using Multilayer Perceptron Combined with Feature Selection
Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014), Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.1
nvestigating the Effects of Maximum Oxygen Uptake and Maximum Heart Rate Variables on the Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines?
Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014),, Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.1
Multilayer Perceptron Models for Predicting the Admission Decision of a Candidate to the School of Physical Educatio and Sports at Cukurova University
Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014),, Girne, Kıbrıs (Kktc), 5 Kasım - 07 Ekim 2014, ss.1
Artificial Neural Network-based Models for Predicting Maximum Oxygen Uptake from Submaximal Data
Second International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2014),, Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.1
Destek Vektör Makineleri ve Nitelik Seçici Algoritma Kullanılarak Maksimum Oksijen Tüketimi Tahmin Modellerinin Geliştirilmesi
ASYU2014: Akıllı Sistemlerde Yenilikler ve Uygulamaları, Türkiye, 8 - 10 Ekim 2014, ss.21
Prediction of Maximal Oxygen Uptake Using Multilayer Perceptron Combined with Feature Selection
7th Engineering and Technology Symposium, Ankara, Türkiye, 15 - 16 Mayıs 2014, ss.3-6
Predicting the Upper Body of Cross-Country Skiers Using Support Vector Machines
7th Engineering and Technology Symposium, Ankara, Türkiye, 15 - 16 Mayıs 2014, ss.21-24
Artificial neural network models for predicting maximum oxygen uptake from submaxiaml exercise involving walking, jogging or running
EEECS?12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems, Gemikonağı, Kıbrıs (Kktc), 29 Kasım 2013 - 30 Kasım 2012, ss.17-21
Prediction of Upper Body Power of Cross-Country Skiers Using Artificial Neural Networks
First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), Kıbrıs, Kıbrıs (Kktc), 6 - 08 Kasım 2013, ss.1
A New Approach for Improving the Performance of Support Vector Machines for Maximal Oxygen Uptake Prediction
First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), Kıbrıs, Kıbrıs (Kktc), 6 - 08 Kasım 2013, ss.1
Prediction of Maximal Oxygen Uptake Using Multilayer Perceptron and Multiple Linear Regression Combined with Feature Selection
First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), Kıbrıs, Kıbrıs (Kktc), 6 - 08 Kasım 2013, ss.1
Prediction of Maximal Oxygen Uptake Using Multilayer Perceptron and Multiple Linear Regression Combined with Feature Selection
First International Symposium on Engineering, Artificial Intelligence & Applications (ISEAIA2013), Kuzey Kıbrıs, Kıbrıs (Kktc), 6 - 08 Kasım 2013, ss.1
Reliable Attributes Selection Technique for Predicting the Performance Measures of a DSM Multiprocessor Architecture
Reliable Attributes Selection Technique for Predicting the Performance Measures of a DSM Multiprocessor Architecture, Khartoum, Sudan, 26 - 28 Ağustos 2013, ss.1
A Congestion Control Algorithm with Intermediate Node Selection Procedure For Performance Improvement of a 2-Dımensıonal Broadcast-Based Multiprocessor Architecture
Proceedings of the Fourth International Conference on Mathematical and Computational Applications,, Manisa, Türkiye, 11 - 13 Haziran 2013, ss.186-196
Using message combining and priority for mproving the performance of distributed shared memory multiprocessor systems
Proceedings of the Fourth International Conference on Mathematical and Computational Applications, Manisa, Türkiye, 11 Haziran 2013 - 13 Haziran 2014, ss.212-220
Yapay Sinir Ağları Kullanılarak Egzersiz ve Egzersize Dayalı Olmayan Verilerden VO2max Tahmini
21. Sinyal İşleme ve İletişim Uygulamaları Kurultayı SİU2013, Kıbrıs, Kıbrıs (Kktc), 24 - 26 Nisan 2013, ss.1
Egzersiz ve Anket Verileri Kullanarak Yapay Sinir Ağı Tabanlı VO2max Tahmin Modelleri
21. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SİU2013, Kıbrıs, Kıbrıs (Kktc), 24 - 26 Nisan 2013, ss.1
VO2max Tahmini İçin Farklı Regresyon Yöntemlerinin Performans Karşılaştırması
21. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SİU2013, Kıbrıs, Kıbrıs (Kktc), 24 - 26 Nisan 2013, ss.1
Akıllı Regresyon Teknikleri Kullanarak Egzersize Dayalı Olmayan VO2max Tahmini
21. Sinyal İşleme ve İletişim Uygulamaları Kurultayı SİU2013, Kıbrıs, Kıbrıs (Kktc), 24 - 26 Nisan 2013, ss.1
Egzersiz ve Anket Verileri Kullanarak Yapay Sinir Ağı Tabanli VO2max Tahmin Modelleri
21. Sinyal İşleme ve İletisim Uygulamaları Kurultayı, SIU2013, Türkiye, 24 - 26 Nisan 2013
Yapay Sinir Ağı Kullanarak Submaksimal Egzersiz Testinden VO2max Tahmini
21. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, SİU2013, Kıbrıs, Kıbrıs (Kktc), 24 - 26 Nisan 2013, ss.1
A Congestion Control Algorithm with Intermediate Node Selection Procedure For Performance Improvement of a 2-Dimensional Broadcast-Based Multiprocessor Architecture
Proceedings of the Fourth International Conference on Mathematical and Computational Applications, Manisa, Türkiye, 01 Ocak 2013, ss.186-196
Artificial neural network models for predicting VO2max from exercise and non-exercise data
EEECS?12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems, Gemikonağı, Kıbrıs (Kktc), 29 - 30 Kasım 2012, ss.2-6
Improving the performance of a 2D multiprocessor architecture using message combining under client-server traffic model
EEECS?12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems, Gemikonağı, Kıbrıs (Kktc), 29 - 30 Kasım 2012, ss.66-71
Artificial neural networks for developing new maximal oxygen uptake prediction models
EEECS?12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems, Gemikonağı, Kıbrıs (Kktc), 29 Kasım - 30 Aralık 2012, ss.12-16
Multilayer feed forward neural network models for predicting the performance measures of a message passing multiprocessor architecture
EEECS?12, 7th International Symposium on Electrical & Electronics Engineering and Computer Systems, Gemikonağı, Kıbrıs (Kktc), 29 Kasım 2012 - 30 Mart 2014, ss.22-27
Performance improvement of the two dimensional broadcast-based distributed shared memory multiprocessor systems
9th International Conference on Electronics,Computer and Computation (ICECCO 2012), Ankara, Türkiye, 1 - 03 Kasım 2012, ss.149-152
Improving the performance of a 2-Dimensional broadcast-based multiprocessor architecture using congestion control algorithm
9th International Conference on Electronics, Computer and Computation (ICECCO 2012), Ankara, Türkiye, 1 - 03 Kasım 2012, ss.163-165
Predicting the performance measures of a message passing multiprocessor architecture by using artificial neural networks
2nd International Symposium on Computing in Science and Engineering, İzmir, Türkiye, 1 - 04 Haziran 2011, ss.53-58
Development of new VO2max prediction models by using artificial neural networks
2nd International Symposium on Computing in Science and Engineering, Kuşadası, İzmir, Türkiye, 01 Haziran 2011 - 04 Haziran 2012, ss.39-44
Çimento Tabanli Yapilarin Mikrodalga Yansima ve Kirilma Özelliklerinin Ölçülmesi ve Incelenmesi
Elektrik-Elektronik-Bilgisayar Mühendisligi 9.Ulusal Kongresi ve Fuari,, Kocaeli, Türkiye, 28 Eylül - 01 Kasım 2010, ss.277-281
Dağıtık Ortak Hafızalı Çoklu Mikroişlemcilere Sahip Optik Tabanlı Mimari Üzerinde Dizin Protokollerinin Başarım Çözümlemesi
I. Ulusal Yüksek Başarım ve Grid Konferansı, Ankara, Türkiye, 15 - 19 Nisan 2009, ss.31-42
SOME-Bus Mimarisi Üzerinde Mesaj Geçişi Protokolünün Başarımını Arttırmaya Yönelik Bir Algoritma
I. Ulusal Yüksek Başarım ve Grid Konferansı, Ankara, Türkiye, 15 - 18 Nisan 2009, ss.147-154
Dagıtık Ortak Hafızalı Çoklu Mikroişlemcilere Sahip Optik Tabanlı Mimari Üzerinde Dizin Protokollerinin Basarim Çözümlemesi
I. Ulusal Yüksek Başarım ve Grid Konferansı, Türkiye, 15 - 18 Nisan 2009
SOME Bus Mimarisi Üzerinde Mesaj Geçisi Protokolünün Başarımını Arttırmaya Yönelik Bir Algoritma
I. Ulusal Yüksek Başarım ve Grid Konferansı, Türkiye, 15 - 18 Nisan 2009, ss.147-154
SOME-Bus Mimarisi Üzerinde Mesaj Geçişi Protokolünün Başarımını Artırmaya Yönelik Bir Algoritma
I. Ulusal Yüksek Başarım ve Grid Konferansı, Ankara, Türkiye, 01 Ocak 2009, ss.147-154
Performance Evaluation of Directory Protocols on an Optical Interconnection Network Supporting Distributed Shared Memory
EECS'08, 5th International Symposium on Electrical and Computer Systems, Gemikonağı, Kıbrıs (Kktc), 27 - 28 Kasım 2008, ss.1
Multilayer Feed Forward Neural Network Models for Non-Exercise Prediction of VO2max
ECS'08, 5th International Symposium on Electrical and Computer Systems, Gemikonağı, Kıbrıs (Kktc), 27 - 28 Kasım 2008, ss.1
Predicting the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University bu using artificial neural networks
EECS'08, 5th International Symposium on Electrical and Computer Systems, Gemikonağı, Kıbrıs (Kktc), 27 - 28 Kasım 2008, ss.1
Destek Vektör Makineleri ile Beden Eğitimi ve Spor Yüksekokuluna Giriş İçin Başvuran Adayların Başarı Durumlarının Tahmini
Ç.Ü. Müh-Mim. Fak. 30. Yil Sempozyumu, Türkiye, 16 - 17 Ekim 2008
SOME-BUS MİMARİSİ ÜZERİNDE İKİ FARKLI DİZİN PROTOKOLÜNÜN PERFORMANS ANALİZİ
Ç.Ü. Müh-Mim. Fak. 30. Yıl Sempozyumu,, Adana, Türkiye, 16 - 17 Ekim 2008, ss.1
Genelleştirilmiş Regresyon Ağları Kullanarak Egzersize Dayalı Olmayan VO2max Tahmini
Ç.Ü. Müh-Mim. Fak. 30. Yil Sempozyumu, Türkiye, 16 - 17 Ekim 2008
DESTEK VEKTÖR MAKİNELERİ İLE BEDEN EĞİTİMİ VE SPOR YÜKSEKOKULUNA GİRİŞ İÇİN BAŞVURAN ADAYLARIN BAŞARI DURUMLARININ TAHMİNİ
Ç.Ü. Müh-Mim. Fak. 30. Yıl Sempozyumu,, Adana, Türkiye, 16 - 17 Ekim 2008, ss.1
Some Bus Mimamiris Üzerinde İki Farklı Dizin Protokolünün Performans Analizi
Ç.Ü. Müh-Mim. Fak. 30. Yil Sempozyumu, Türkiye, 16 - 17 Ekim 2008
Performance Evaluation of Different Directory Protocols on the Simultaneous Optical Multiprocessor Exchange Bus
OPNETWORK 2008, Washington Dc, Amerika Birleşik Devletleri, 25 - 29 Ağustos 2008, ss.1-5
Genelleştirilmiş Regresyon Ağlari Kullanarak Egzersize Dayalı Olmayan VO2max Tahmini
Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi 30.yıl sempozyumu, Adana, Türkiye, 02 Mayıs 2008, ss.17-20
Performance evaluation of a broadcast-based distributed shared memory multiprocessor by OPNET Modeler
OPNETWORK 2007, Washington, Amerika Birleşik Devletleri, 26 - 27 Ağustos 2007, ss.1
Performance Evaluation of Different Directory Protocols on the Simultaneous Optical Multiprocessor Exchange Bus
OPNETWORK 2008, Washington, Amerika Birleşik Devletleri, 25 Ağustos 2007 - 27 Ağustos 2014, ss.1
Internet üzerinden ses transferi için ileri hata düzeltme tekniğinin performans analizi
ITUSEM 2007, Adana, Türkiye, 1 - 04 Ocak 2007, ss.1
Çimento Tabanlı Yapıların Mikrodalga Yansıma ve Kırılma Özelliklerinin Ölçülmesi ve İncelenmesi
Elektrik-Elektronik-Bilgisayar Mühendisliği 9.Ulusal Kongresi ve Fuarı, Türkiye, 16 - 18 Ekim 2001, ss.277-281
A Measurement System for the Determination of the Concrete Quality by Using Microwave Techniques
NIMIA-SC2001 - 2001 NATO Advanced Study Institute on Neural Networks for Instrumentation, Measurement, and Related Industrial Applications: Study Cases, Crema, İtalya, 9 - 20 Ekim 2001, ss.1
Numerical modelling of whispering gallery modes in parallel-plates type cylindrical anisotropic dielectric resonators
IEEE Antennas and Propogation Society International Symposium,, Boston, Amerika Birleşik Devletleri, 8 - 13 Temmuz 2001, ss.600-603
Measurement and Monitoring of Microwave Reflection and Transmission Properties of Cement-Based Specimens
Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference (IMTC/2001), Budapeşte, Macaristan, 21 - 23 Mayıs 2001, ss.513-518
Measurement and Monitoring of Microwave Reflection Properties of Cement-Based Materials for Propagation Modeling
4th European Personal Mobile Communications Conference (EPMCC 2001), Vienna, Avusturya, 20 - 22 Şubat 2001, ss.1
Whispering gallery mode dielectric resonators for the millimeter wave near field sensing applications
Physics and Engineering of Millimeter and Submillimeter Waves,, Kharkow, Ukrayna, 1 - 03 Ocak 2001, ss.699-701
Boşluk Uzay Yöntemini Kullanarak Malzemelerin Dielektrik Sabitlerini Belirlemek için Önerilen Otomatik Ölçme Sistemi
Elektrik-Elektronik-Bilgisayar Mühendisliği Sempozyumu (ELECO?2000), Bursa, Türkiye, 12 Kasım 2000, ss.82-84
Kitap & Kitap Bölümleri
PERFORMANCE EVALUATION OF DIRECTORY-BASED CACHE COHERENCE PROTOCOLS ON AN OPTICAL INTERCONNECTION NETWORK SUPPORTING DISTRIBUTED SHARED MEMORY
Amazon.com books , New York City, 2014