Results 71 to 80 of about 20,816 (168)

Explainable Siamese Neural Network for Classifying Pediatric Respiratory Sounds

IEEE Journal of Biomedical and Health Informatics, 2023
The field of medical acoustics is gaining constantly-increasing attention by the scientific community, with the the general goal being the automatic understanding of medical related signals to assist medical personnel in the decision making process. In this direction, this work introduces a framework able to differentiate between normal and abnormal ...
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CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19 [PDF]

Inform Med Unlocked, 2023
Ornob TR, Roy G, Hassan E.
europepmc   +2 more sources

Siamese Neural Networks for Visual Place Recognition

2025 MIPRO 48th ICT and Electronics Convention
Siamese neural networks are powerful constructs in the domain of deep learning and are currently the subject of intense research. Siamese neural networks describe the use of neural networks rather than the design of a network itself. The use of Siamese neural networks allows the possibility of adjusting the parameters of a learnable function either ...
Borozan, Luka, Maltar, Jurica
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Siamese Neural Network for Keystroke Dynamics-Based Authentication on Partial Passwords. [PDF]

Sensors (Basel), 2023
Lis K, Niewiadomska-Szynkiewicz E, Dziewulska K.   +2 more
europepmc   +1 more source

BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representation. [PDF]

ACS Omega, 2023
Paykan Heyrati M, Ghorbanali Z, Akbari M, Pishgahi G, Zare-Mirakabad F.   +4 more
europepmc   +1 more source

Auto-Probabilistic Mining Method for Siamese Neural Network Training

Mathematics
Training deep learning models for classification with limited data and computational resources remains a challenge when the number of classes is large. Metric learning offers an effective solution to this problem. However, it has its own shortcomings due to the known imperfections of widely used loss functions such as contrastive loss and triplet loss,
Arseniy Mokin, Alexander Sheshkus, Vladimir L. Arlazarov   +2 more
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Facial emotion recognition using deep Siamese neural networks: multi-classifier fusion for single-emotion and multi-emotion models across age groups

Journal of Big Data
This research examines facial expressions as social cues in online platforms, focusing on online learning and remote work. Our high-accuracy emotion recognition framework is designed for post-session evaluation, aiding teaching strategies and identifying
Tejas Rathod, Shruti Patil, Aniket K. Shahade, Prachi Kadam, Ambarish Kulkarni   +4 more
doaj   +1 more source

A New Siamese Network Loss for Cattle Facial Recognition in a Few-Shot Learning Scenario

AgriEngineering
This study explores the use of a Siamese neural network architecture to enhance classification performance in few-shot learning scenarios, with a focus on bovine facial recognition.
João Porto, Gabriel Higa, Vanessa Weber, Fabrício Weber, Newton Loebens, Pietro Claure, Leonardo de Almeida, Karla Porto, Hemerson Pistori   +8 more
doaj   +1 more source

Cross-domain few-shot learning based on pseudo-Siamese neural network. [PDF]

Sci Rep, 2023
Gong Y, Yue Y, Ji W, Zhou G.
europepmc   +1 more source

Offline Signature Verification USING Siamese Neural Network

Journal of Information Systems Engineering and Management
Verifying offline signatures is challenging in identity verification procedures for legal documents and financial transactions. The subtle but significant distinctions between authentic and fraudulent signatures must be carefully considered because some forgeries may merely alter a portion of the signature. This task is more difficult when the identity
openaire   +1 more source