A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...
Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks
Abstract: Shifts in data distribution across time can strongly affect early classification of time-series data. When decoding behavior from neural activity, early detection of behavior may help in ...
Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends in artificial intelligence.
This repository is the official implementation of ESCNet:Edge-Semantic Collaborative Network for Camouflaged Object Detection For ease of use, we create a eval.sh script and a use case in the form of ...
TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
Abstract: In the realm of finance, accurate projections of stock prices carry immense significance. Multiple factors influence stock prices, including external variables such as influential opinions, ...
We also assessed feature importance using traditional methods and further analyzed variable contributions through SHapley Additive exPlanation values. Results: The study used nationwide adolescent ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback