Zobrazeno 1 - 10
of 977
pro vyhledávání: '"El Yacoubi A"'
Alzheimer's Disease (AD) is a prevalent neurodegenerative condition where early detection is vital. Handwriting, often affected early in AD, offers a non-invasive and cost-effective way to capture subtle motor changes. State-of-the-art research on ha
Externí odkaz:
http://arxiv.org/abs/2410.10547
Eye movement biometrics has received increasing attention thanks to its high secure identification. Although deep learning (DL) models have been recently successfully applied for eye movement recognition, the DL architecture still is determined by hu
Externí odkaz:
http://arxiv.org/abs/2409.14432
Eye movement biometrics is a secure and innovative identification method. Deep learning methods have shown good performance, but their network architecture relies on manual design and combined priori knowledge. To address these issues, we introduce a
Externí odkaz:
http://arxiv.org/abs/2409.11652
Autor:
Qin, Huafeng, Fu, Yuming, Zhang, Huiyan, El-Yacoubi, Mounim A., Gao, Xinbo, Song, Qun, Wang, Jun
Deep neural networks have recently achieved promising performance in the vein recognition task and have shown an increasing application trend, however, they are prone to adversarial perturbation attacks by adding imperceptible perturbations to the in
Externí odkaz:
http://arxiv.org/abs/2408.10694
Due to the advantages such as high security, high privacy, and liveness recognition, vein recognition has been received more and more attention in past years. Recently, deep learning models, e.g., Mamba has shown robust feature representation with li
Externí odkaz:
http://arxiv.org/abs/2408.05743
Mixup data augmentation approaches have been applied for various tasks of deep learning to improve the generalization ability of deep neural networks. Some existing approaches CutMix, SaliencyMix, etc. randomly replace a patch in one image with patch
Externí odkaz:
http://arxiv.org/abs/2407.07805
Eye movement (EM) is a new highly secure biometric behavioral modality that has received increasing attention in recent years. Although deep neural networks, such as convolutional neural network (CNN), have recently achieved promising performance, cu
Externí odkaz:
http://arxiv.org/abs/2401.04956
Data mixing augmentation has been widely applied to improve the generalization ability of deep neural networks. Recently, offline data mixing augmentation, e.g. handcrafted and saliency information-based mixup, has been gradually replaced by automati
Externí odkaz:
http://arxiv.org/abs/2312.11954
Autor:
Palmero, Cristina, deVelasco, Mikel, Hmani, Mohamed Amine, Mtibaa, Aymen, Letaifa, Leila Ben, Buch-Cardona, Pau, Justo, Raquel, Amorese, Terry, González-Fraile, Eduardo, Fernández-Ruanova, Begoña, Tenorio-Laranga, Jofre, Johansen, Anna Torp, da Silva, Micaela Rodrigues, Martinussen, Liva Jenny, Korsnes, Maria Stylianou, Cordasco, Gennaro, Esposito, Anna, El-Yacoubi, Mounim A., Petrovska-Delacrétaz, Dijana, Torres, M. Inés, Escalera, Sergio
The EMPATHIC project aimed to design an emotionally expressive virtual coach capable of engaging healthy seniors to improve well-being and promote independent aging. One of the core aspects of the system is its human sensing capabilities, allowing fo
Externí odkaz:
http://arxiv.org/abs/2311.05567
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract With over 55 million people globally affected by dementia and nearly 10 million new cases reported annually, Alzheimer’s disease is a prevalent and challenging neurodegenerative disorder. Despite significant advancements in machine learnin
Externí odkaz:
https://doaj.org/article/15987959dfcb4b1f936f560dda28c785
