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Siamese neural networks: An overview
D Chicco - Artificial neural networks, 2021 - Springer
Similarity has always been a key aspect in computer science and statistics. Any time two
element vectors are compared, many different similarity approaches can be used …
element vectors are compared, many different similarity approaches can be used …
An overview of voice conversion and its challenges: From statistical modeling to deep learning
Speaker identity is one of the important characteristics of human speech. In voice
conversion, we change the speaker identity from one to another, while kee** the linguistic …
conversion, we change the speaker identity from one to another, while kee** the linguistic …
Poly kernel inception network for remote sensing detection
Object detection in remote sensing images (RSIs) often suffers from several increasing
challenges including the large variation in object scales and the diverse-ranging context …
challenges including the large variation in object scales and the diverse-ranging context …
Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision …
Personalized interventions are deemed vital given the intricate characteristics,
advancement, inherent genetic composition, and diversity of cardiovascular diseases …
advancement, inherent genetic composition, and diversity of cardiovascular diseases …
Privacy-enhanced federated learning against poisoning adversaries
Federated learning (FL), as a distributed machine learning setting, has received
considerable attention in recent years. To alleviate privacy concerns, FL essentially …
considerable attention in recent years. To alleviate privacy concerns, FL essentially …