5 papers
Training-Free Out-of-Distribution Detection for Pathology Whole-Slide Images
Sabri Mustafa Kahya, Richard R. Chen, Muhammet Sami Yavuz +4
Safe deployment of AI methods in medicine requires robust guardrails that detect when input data deviate from the training distribution to ensure that models provide predictions on…
SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data
Muhammet Sami Yavuz, Ayhan Can Erdur, Sabri Mustafa Kahya +2
Genomic prediction models often fail to transfer across institutions because sequencing panels differ across sites, creating structural feature missingness at deployment. Existing…
FOODER: Real-time Facial Authentication and Expression Recognition
Sabri Mustafa Kahya, Muhammet Sami Yavuz, Boran Hamdi Sivrikaya +1
Out-of-distribution (OOD) detection is essential for the safe deployment of neural networks, as it enables the identification of samples outside the training domain. We present FOO…
FARE: A Deep Learning-Based Framework for Radar-based Face Recognition and Out-of-distribution Detection
Sabri Mustafa Kahya, Boran Hamdi Sivrikaya, Muhammet Sami Yavuz +1
In this work, we propose a novel pipeline for face recognition and out-of-distribution (OOD) detection using short-range FMCW radar. The proposed system utilizes Range-Doppler and…
FERT: Real-Time Facial Expression Recognition with Short-Range FMCW Radar
Sabri Mustafa Kahya, Muhammet Sami Yavuz, Eckehard Steinbach
This study proposes a novel approach for real-time facial expression recognition utilizing short-range Frequency-Modulated Continuous-Wave (FMCW) radar equipped with one transmit (…