Results 261 to 270 of about 50,253,444 (339)

Boosting the Diversity of a Similarity-Aware Genetic Algorithm Using a Siamese Network for Optimized S-Box Generation. [PDF]

Entropy (Basel)
Khaja IA, Ahmad M, Maghrabi LA.
europepmc   +1 more source

Contextual F0 cues can outweigh talker F0 cues in fricative perception. [PDF]

Atten Percept Psychophys
Uluşahin O, Bosker HR, Meyer AS, McQueen JM.   +3 more
europepmc   +1 more source

A Dual-Stream Transformer with Self-Supervised Contrastive Training for fMRI-Based Autism Spectrum Disorder Classification. [PDF]

Brain Sci
Li Z, Wang L.
europepmc   +1 more source

A CLIP-based framework for multiclass lung histopathology classification with prompt engineering and class-imbalance-aware focal optimization. [PDF]

Sci Rep
Munawar S, Hanif F, Raza A, Farman M, Hincal E.   +4 more
europepmc   +1 more source

Automated knee MRI segmentation with KneeSeg-U for cartilage and bone extraction using an unsupervised deep learning framework. [PDF]

BMC Musculoskelet Disord
Rajeena PPF, Sadek Ali MA, Al Khaldi N, Sunder R, Rahoof PP, Lilhore UK, Simaiya S, Ghith ES, Hussien SA, Tekeste LG.   +9 more
europepmc   +1 more source

A Deep Prompt-Based Chain-of-Thought Approach to Harmful Euphemism Detection in Social Networks. [PDF]

Entropy (Basel)
Xie S, Zhou G, Wang H.
europepmc   +1 more source

Genre and domain variation in corpus-based contrastive studies: the case of prefixation in English and French

, 2010
Using Corpora in Contrastive and Translation Studies, Lefer, Marie-Aude   +1 more
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Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage

IEEE Transactions on Medical Imaging, 2023
Medical contrastive vision-language pretraining has shown great promise in many downstream tasks, such as data-efficient/zero-shot recognition. Current studies pretrain the network with contrastive loss by treating the paired image-reports as positive ...
Bo Liu, Donghuan Lu, Dong Wei, Xianming Wu, Yan Wang, Yu Zhang, Yefeng Zheng   +6 more
semanticscholar   +1 more source