Dergiler / The Journal of Cognitive Systems

The Journal of Cognitive Systems is An international, peer-reviewed, indexed, and open-access periodical. The journal publishes original papers in the field of Cognitive Systems , at large. It accepts contributions by research, as well as by review, and from the field of Cognitive Philosophy. A letter to the editor is also encouraged.

2020 · Cilt: 5 - Sayı: 2

MakaleYazarSayfa
ASSESSMENT OF ASSOCIATIVE CLASSIFICATION APPROACH FOR PREDICTING MORTALITY BY HEART FAILUREZeynep TUNÇ, İpek BALIKÇI ÇİÇEK, Emek GÜLDOĞAN, Cemil ÇOLAK41–45
A COGNITIVE INTEGRATED MULTI-MODAL PERCEPTION MECHANISM AND DYNAMIC WORLD MODELING FOR SOCIAL ROBOT ASSISTANTSEvren DAĞLARLI46–50
ASSOCIATIVE CLASSIFICATION APPROACH CAN PREDICT PROSTATE CANCER BASED ON THE EXTRACTED ASSOCIATION RULESİpek BALIKÇI ÇİÇEK, Zeynep KÜÇÜKAKÇALI, Cemil ÇOLAK51–54
PERFORMANCE EVALUATION OF THE ENSEMBLE LEARNING MODELS IN THE CLASSIFICATION OF CHRONIC KIDNEY FAILUREZeynep TUNÇ, İpek BALIKÇI ÇİÇEK55–59
A PROPOSED MODEL CAN CLASSIFY THE COVID-19 PANDEMIC BASED ON THE LABORATORY TEST RESULTSŞeyma YAŞAR, Cemil ÇOLAK60–63
CLASSIFICATION OF HYPOTHYROID DISEASE WITH EXTREME LEARNING MACHINE MODELİpek BALIKÇI ÇİÇEK, Zeynep KÜÇÜKAKÇALI64–68
CLASSIFICATION OF CORONARY ARTERY DISEASES USING STACKING ENSEMBLE LEARNING METHODAdem DOĞANER, Mehmet KİRİŞÇİ69–73
COMPARISON OF DIFFERENT DECISION TREE MODELS IN CLASSIFICATION OF ANGINA PECTORIS DISEASEİpek BALIKÇI ÇİÇEK, Zeynep KÜÇÜKAKÇALI, Emek GÜLDOĞAN74–77
ARTIFICIAL NEURAL NETWORKS BASED-PREDICTION OF AUTISM SPECTRUM DISORDERİlknur UCUZ, Ayla UZUN CİCEK78–82
DETERMINATION OF CRYPTOSPORIDIUM SPP. RISK FACTORS USING MULTILAYER PERCEPTRON NEURAL NETWORK AND RADIAL BASED FUNCTIONAL ARTIFICIAL NEURAL NETWORK METHODUlku KARAMAN, İpek BALIKÇI ÇİÇEK83–87
Estimation of Factors Related to Premenstrual Syndrome in Female Students by Using Artificial Neural Network ModelYeşim AKSOY DERYA, Cemil ÇOLAK, Burcu KAYHAN TETİK, Ayşe Nur YILMAZ, Zeliha ÖZŞAHİN88–93
EFFECTS OF REAL AND IMAGINARY HAND MOVEMENTS ON EEGÖmer AKGÜN94–98
PERFORMANCE EVALUATION OF THE DEEP LEARNING MODELS IN THE CLASSIFICATION OF HEART ATTACK AND DETERMINATION OF RELATED FACTORSZeynep TUNÇ, İpek BALIKÇI ÇİÇEK, Emek GÜLDOĞAN99–103