activity
20192023
most citedA Multi-Modal Feature Embedding Approach to Diagnose Alzheimer Disease from Spoken Language

17 citations · 45 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2023

Free-text Keystroke Authentication using Transformers: A Comparative Study of Architectures and Loss Functions

Saleh Momeni, Bagher BabaAli

Keystroke biometrics is a promising approach for user identification and verification, leveraging the unique patterns in individuals' typing behavior. In this paper, we propose a T…

cs.CV2023

A Transformer-based Approach for Arabic Offline Handwritten Text Recognition

Saleh Momeni, Bagher BabaAli

Handwriting recognition is a challenging and critical problem in the fields of pattern recognition and machine learning, with applications spanning a wide range of domains. In this…

eess.AS2021

A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech

Pu Wang, Bagher BabaAli, Hugo Van hamme

End-to-end (E2E) spoken language understanding (SLU) systems avoid an intermediate textual representation by mapping speech directly into intents with slot values. This approach re…

cs.CV2020★ 16 cited

Writer Identification and Writer Retrieval Based on NetVLAD with Re-ranking

Shervin Rasoulzadeh, Bagher Babaali

This paper addresses writer identification and writer retrieval which is considered as a challenging problem in the document analysis and recognition field. In this work, a novel p…

cs.LG2019★ 17 cited

A Multi-Modal Feature Embedding Approach to Diagnose Alzheimer Disease from Spoken Language

S. Soroush Haj Zargarbashi, Bagher Babaali

Introduction: Alzheimer's disease is a type of dementia in which early diagnosis plays a major rule in the quality of treatment. Among new works in the diagnosis of Alzheimer's dis…

cs.LG2019★ 12 cited

Statistical feature embedding for heart sound classification

Mohammad Adiban, Bagher BabaAli, Saeedreza Shehnepoor

Cardiovascular Disease (CVD) is considered as one of the principal causes of death in the world. Over recent years, this field of study has attracted researchers' attention to inve…