| An effective forest fire detection framework using heterogeneous wireless multimedia sensor networks B Kizilkaya, E Ever, HY Yatbaz, A Yazici ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 74 | 2022 |
| Activity recognition using binary sensors for elderly people living alone: Scanpath trend analysis approach HY Yatbaz, S Eraslan, Y Yesilada, E Ever IEEE Sensors Journal 19 (17), 7575-7582, 2019 | 25 | 2019 |
| Activity recognition and anomaly detection in E-health applications using color-coded representation and lightweight CNN architectures HY Yatbaz, E Ever, A Yazici IEEE Sensors Journal 21 (13), 14191-14202, 2021 | 24 | 2021 |
| Prediction of punching shear strength of slab-column connections: A comprehensive evaluation of machine learning and deep learning based approaches S Derogar, C Ince, HY Yatbaz, E Ever Mechanics of Advanced Materials and Structures 31 (6), 1272-1290, 2024 | 23 | 2024 |
| A smart e-health framework for monitoring the health of the elderly and disabled A Yazici, D Zhumabekova, A Nurakhmetova, Z Yergaliyev, HY Yatbaz, ... Internet of Things 24, 100971, 2023 | 19 | 2023 |
| Introspection of DNN-Based Perception Functions in Automated Driving Systems: State-of-the-Art and Open Research Challenges HY Yatbaz, M Dianati, R Woodman IEEE Transactions on Intelligent Transportation Systems 25 (2), 1112-1130, 2024 | 10 | 2024 |
| Detecting hazardous events: A framework for automated vehicle safety systems D Xiao, WG Geiger, HY Yatbaz, M Dianati, R Woodman 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 10 | 2022 |
| Deep learning based stress prediction from offline signatures HY Yatbaz, M Erbilek 2020 8th International Workshop on Biometrics and Forensics (IWBF), 1-6, 2020 | 5 | 2020 |
| Hybrid approach for disaster recovery using P2P communications in android HY Yatbaz, B Çinar, A Gökdemir, E Ever, F Al-Turjman, HX Nguyen, ... 2018 IEEE 43rd Conference on Local Computer Networks Workshops (LCN …, 2018 | 5 | 2018 |
| Introspection of 2d object detection using processed neural activation patterns in automated driving systems HY Yatbaz, M Dianati, K Koufos, R Woodman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Exploring Activity Transitions in the STA-based Activity Recognition Ş Eraslan, HY Yatbaz, E Ever, Y YeŞilada 2020 28th Signal Processing and Communications Applications Conference (SIU …, 2020 | 3 | 2020 |
| Run-time introspection of 2d object detection in automated driving systems using learning representations HY Yatbaz, M Dianati, K Koufos, R Woodman IEEE Transactions on Intelligent Vehicles, 2024 | 2 | 2024 |
| Run-time monitoring of 3D object detection in automated driving systems using early layer neural activation patterns HY Yatbaz, M Dianati, K Koufos, R Woodman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Integrity Monitoring of 3D Object Detection in Automated Driving Systems using Raw Activation Patterns and Spatial Filtering HY Yatbaz, M Dianati, K Koufos, R Woodman arXiv preprint arXiv:2405.07600, 2024 | | 2024 |
| Critical Analysis of Validation Methods for Machine Learning Models Used in E-health Applications HY Yatbaz, A Yazici, E Ever 2022 International Conference on Information Science and Communications …, 2022 | | 2022 |
| Statistical analysis for sensory E-Health applications: opportunities and challenges HY Yatbaz, AC Tasıran IoT Technologies in Smart-Cities: From sensors to big data, security and …, 2020 | | 2020 |
| Colour coding based novel data representation and lightweight convolutional neural network architecture for hierarchical anomaly detection on ehealth applications HY Yatbaz Middle East Technical University, 2020 | | 2020 |
Enver EverProfessor, Computer Engineering, Middle East Technical University, Northern Cyprus CampusEmail yang diverifikasi di metu.edu.tr