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Article
Chemistry, Analytical
Jeong-Kyun Kim et al.
Summary: Osteopenia and sarcopenia are key factors in various senile diseases and can greatly impact the quality of life in old age. This study proposes a method using an inertial-sensor-based wearable gait device to analyze gait signals and utilizes explainable artificial intelligence to assess the contribution and importance of different gait factors in osteopenia and sarcopenia. The results show high accuracy and statistical significance, indicating the potential of this method for disease management.
Proceedings Paper
Computer Science, Artificial Intelligence
Yichi Zhang et al.
Summary: This paper proposes a binary convolution block called PokeConv to improve the quality of BNNs by adding multiple residual paths and tuning the activation function. It is applied to ResNet-50 and optimizes the initial convolutional layer of ResNet, resulting in PokeBNN1. By defining arithmetic computation effort (ACE) and optimizing the binarization gradient approximation, favorable improvements are achieved in both accuracy and network cost.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)
(2022)
Article
Computer Science, Information Systems
Donghun Yang et al.
Summary: The newly proposed OOD detection method uses an ensemble of features trained by a softmax-based classifier and a network based on distance metric learning (DML). Through complementary interaction, the trained feature space fits well on the Gaussian distribution by class, allowing for efficient detection of OOD data by setting a threshold in the trained feature space. The overall performance of the proposed approach is shown to be superior to other methods, including the state-of-the-art approach, on various combinations of datasets.
Article
Multidisciplinary Sciences
John Jumper et al.
Summary: Proteins are essential for life, and accurate prediction of their structures is a crucial research problem. Current experimental methods are time-consuming, highlighting the need for accurate computational approaches to address the gap in structural coverage. Despite recent progress, existing methods fall short of atomic accuracy in protein structure prediction.
Article
Multidisciplinary Sciences
Minkyung Baek et al.
Summary: Through the three-track network, we achieved accuracies approaching those of DeepMind in CASP14, enabling rapid solution of challenging x-ray crystallography and cryo-electron microscopy structure modeling problems, and providing insights into the functions of proteins with currently unknown structure.
Proceedings Paper
Computer Science, Artificial Intelligence
Bairan Fu et al.
Summary: Social recommendation leverages social relations from online platforms to improve recommendation performance. Existing methods face limitations in modeling user interests and item attraction, which are addressed by DICER through dual side deep context-aware modulation.
PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2021 (WWW 2021)
(2021)
Article
Chemistry, Multidisciplinary
Chirawan Ronran et al.
APPLIED SCIENCES-BASEL
(2020)
Article
Computer Science, Artificial Intelligence
Geoffrey E. Hinton et al.
NEURAL COMPUTATION
(2006)
