Gizem Nur Karagoz

According to our database, Gizem Nur Karagoz authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

A Cross-Domain Benchmark of Intrinsic and Post Hoc Explainability for 3D Deep Learning Models.

Asmita Chakraborty, Gizem Nur Karagoz, Nirvana Meratnia

J. Imaging, 2026

2025

XIMED: A Dual-Loop Evaluation Framework Integrating Predictive Model and Human-Centered Approaches for Explainable AI in Medical Imaging.

Gizem Nur Karagoz, Tanir Ozcelebi, Nirvana Meratnia

Mach. Learn. Knowl. Extr., 2025

Systematic Benchmarking of Local and Global Explainable AI Methods for Tabular Healthcare Data.

Gizem Nur Karagoz, Tanir Ozcelebi, Nirvana Meratnia

Proceedings of the Explainable Artificial Intelligence, 2025

2024

Analyzing the Impact of Data Augmentation on the Explainability of Deep Learning-Based Medical Image Classification.

Freddie Liu, Gizem Nur Karagoz, Nirvana Meratnia

Mach. Learn. Knowl. Extr., 2024

Evaluating How Explainable AI Is Perceived in the Medical Domain: A Human-Centered Quantitative Study of XAI in Chest X-Ray Diagnostics.

Gizem Nur Karagoz, Geert H. van Kollenburg, Tanir Ozcelebi, Nirvana Meratnia

Proceedings of the Trustworthy Artificial Intelligence for Healthcare, 2024

2021

A new framework of multi-objective evolutionary algorithms for feature selection and multi-label classification of video data.

Gizem Nur Karagoz, Adnan Yazici, Tansel Dökeroglu, Ahmet Cosar

Int. J. Mach. Learn. Cybern., 2021

Multi-objective evolutionary based feature selection supported by distributed multi-label classification and deep learning on image/video data.

Gizem Nur Karagoz

Proceedings of the Middleware 2021: Proceedings of the 22nd International Middleware Conference: Doctoral Symposium, 2021

2020

Analysis of Multiobjective Algorithms for the Classification of Multi-Label Video Datasets.

Gizem Nur Karagoz, Adnan Yazici, Tansel Dökeroglu, Ahmet Cosar

IEEE Access, 2020