5 papers
UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation
Furkan Pala, Islem Rekik
Federated learning (FL) has emerged as a key paradigm for collaborative model training across multiple clients without sharing raw data, enabling privacy-preserving applications in…
GNN-based Unified Deep Learning
Furkan Pala, Islem Rekik
Deep learning models often struggle to maintain generalizability in medical imaging, particularly under domain-fracture scenarios where distribution shifts arise from varying imagi…
ViBERTgrid BiLSTM-CRF: Multimodal Key Information Extraction from Unstructured Financial Documents
Furkan Pala, Mehmet Yasin Akpınar, Onur Deniz +1
Multimodal key information extraction (KIE) models have been studied extensively on semi-structured documents. However, their investigation on unstructured documents is an emerging…
PTSD in the Wild: A Video Database for Studying Post-Traumatic Stress Disorder Recognition in Unconstrained Environments
Moctar Abdoul Latif Sawadogo, Furkan Pala, Gurkirat Singh +3
POST-traumatic stress disorder (PTSD) is a chronic and debilitating mental condition that is developed in response to catastrophic life events, such as military combat, sexual assa…
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification
Furkan Pala, Islem Rekik
A central challenge in training one-shot learning models is the limited representativeness of the available shots of the data space. Particularly in the field of network neuroscien…