Publications

Publications by each year.

2024

  1. Introspection of DNN-Based Perception Functions in Automated Driving Systems: State-of-the-Art and Open Research Challenges
    Hakan Yekta Yatbaz, Mehrdad Dianati, and Roger Woodman
    IEEE Transactions on Intelligent Transportation Systems, 2024
  2. Run-time introspection of 2d object detection in automated driving systems using learning representations
    Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, and 1 more author
    IEEE Transactions on Intelligent Vehicles, 2024
  3. Run-time monitoring of 3D object detection in automated driving systems using early layer neural activation patterns
    Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, and 1 more author
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2024
  4. IEEE ITSC
    Integrity Monitoring of 3D Object Detection in Automated Driving Systems using Raw Activation Patterns and Spatial Filtering
    Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, and 1 more author
    In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2024

2023

  1. Introspection of 2d object detection using processed neural activation patterns in automated driving systems
    Hakan Yekta Yatbaz, Mehrdad Dianati, Konstantinos Koufos, and 1 more author
    In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2023
  2. A smart e-health framework for monitoring the health of the elderly and disabled
    Adnan Yazici, Dana Zhumabekova, Aidana Nurakhmetova, and 5 more authors
    Internet of Things, 2023

2022

  1. An effective forest fire detection framework using heterogeneous wireless multimedia sensor networks
    Burak Kizilkaya, Enver Ever, Hakan Yekta Yatbaz, and 1 more author
    ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2022
  2. IEEE ITSC
    Detecting hazardous events: A framework for automated vehicle safety systems
    Dannier Xiao, William Gonçalves Geiger, Hakan Yekta Yatbaz, and 2 more authors
    In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022
  3. Prediction of punching shear strength of slab-column connections: A comprehensive evaluation of machine learning and deep learning based approaches
    Shahram Derogar, Ceren Ince, Hakan Yekta Yatbaz, and 1 more author
    Mechanics of Advanced Materials and Structures, 2022
  4. Critical Analysis of Validation Methods for Machine Learning Models Used in E-health Applications
    Hakan Yekta Yatbaz, Adnan Yazici, and Enver Ever
    In 2022 International Conference on Information Science and Communications Technologies (ICISCT), 2022

2021

  1. Activity recognition and anomaly detection in E-health applications using color-coded representation and lightweight CNN architectures
    Hakan Yekta Yatbaz, Enver Ever, and Adnan Yazici
    IEEE Sensors Journal, 2021

2020

  1. Deep learning based stress prediction from offline signatures
    Hakan Yekta Yatbaz and Meryem Erbilek
    In 2020 8th International Workshop on Biometrics and Forensics (IWBF), 2020
  2. Statistical analysis for sensory E-Health applications: opportunities and challenges
    Hakan Yekta Yatbaz and Ali Cevat Tasıran
    2020
  3. SIU
    Exploring Activity Transitions in the STA-based Activity Recognition
    Şükrü Eraslan, Hakan Yekta Yatbaz, Enver Ever, and 1 more author
    In 2020 28th Signal Processing and Communications Applications Conference (SIU), 2020

2019

  1. Activity recognition using binary sensors for elderly people living alone: Scanpath trend analysis approach
    Hakan Yekta Yatbaz, Sukru Eraslan, Yeliz Yesilada, and 1 more author
    IEEE Sensors Journal, 2019

2018

  1. LCN
    Hybrid approach for disaster recovery using P2P communications in android
    Hakan Yekta Yatbaz, Berkem Çinar, Ali Gökdemir, and 4 more authors
    In 2018 IEEE 43rd Conference on Local Computer Networks Workshops (LCN Workshops), 2018