| 1 | Explainable Artificial Intelligence for Biomedical Applications | What Makes Survival of Heart Failure Patients? Prediction by the Iterative Learning Approach and Detailed Factor Analysis with the SHAP Algorithm | ÇİFCİ AHMET, İLKUÇAR MUHAMMER, KIRBAŞ İSMAİL | River Publishers | 2023 | Bilimsel Kitap, Uluslararası, Basılı+Elektronik, Bölüm(ler) |
| 2 | Explainable Machine Learning for Multimedia Based Healthcare Applications | Digital Dermatitis Disease Classification Utilizing Visual Feature Extraction and Various Machine Learning Techniques by Explainable AI | KIRBAŞ İSMAİL, YİĞİTARSLAN KÜRŞAD | Springer Cham | 2023 | Bilimsel Kitap, Uluslararası, Elektronik, Bölüm(ler) |
| 3 | Deep Learning for Cancer Diagnosis Studies in Computational Intelligence 908 | Classification of Canine Fibroma and Fibrosarcoma Histopathological Images Using Convolutional Neural Networks | KIRBAŞ İSMAİL,ÖZMEN ÖZLEM | Springer | 2021 | Bilimsel Kitap, Uluslararası, Basılı+Elektronik, Bölüm(ler) |
| 4 | Global View of Energy and Environment in Engineering | Comparison of Spike Noise Removing Performances of Different Filters for Low Level Sensor Data | KIRBAŞ İSMAİL | Akademisyen Kitabevi | 2019 | Bilimsel Kitap, Uluslararası, Elektronik, Bölüm(ler) |
| 5 | Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering | Predictive Modeling and Optimization of Cutting Forces Through RSM and Taguchi Techniques in the Turninig of ASTM B574 (Hastelloy C-22) | KIRBAŞ İSMAİL,PEKER MUSA,BASMACI GÜLTEKİN,AY MUSTAFA | IGI GLOBAL | 2018 | Bilimsel Kitap, Uluslararası, Basılı+Elektronik, Bölüm(ler) |