Abstract: We propose a statistical learning-based ... Using a convolutional encoder-decoder based architecture, we show that a well trained neural network can learn spatio-temporal traffic speed ...

Deep learning has been widely applied to high-dimensional ... The proposed GLNet adopts an encoder-decoder architecture with skip connections. In the encoder phase, we introduce a large receptive ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...

We systematically evaluated mainstream AI models and proposed EC-HAENet, a hybrid-architecture ensembled deep learning model. In this study, we hope to demonstrate that the deep learning model could ...

Recent advances in deep learning ... Decoder with Scale-Recursive Reconstructor (ConvED-SR) is proposed for SEEG speech decoding. ConvED-SR first extracts multiscale speech-related features from SEEG ...