Results 11 to 20 of about 901,230 (334)
AST: Audio Spectrogram Transformer [PDF]
Interspeech, 2021 In the past decade, convolutional neural networks (CNNs) have been widely adopted as the main building block for end-to-end audio classification models, which aim to learn a direct mapping from audio spectrograms to corresponding labels.
Yuan Gong, Yu-An Chung, James R. Glass
semanticscholar +1 more source
AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023 In this paper, we propose an effective sound event detection (SED) method based on the audio spectrogram transformer (AST) model, pretrained on the large-scale AudioSet for audio tagging (AT) task, termed AST-SED.
Kang Li +5 more
semanticscholar +1 more source
MAE-AST: Masked Autoencoding Audio Spectrogram Transformer [PDF]
Interspeech, 2022 In this paper, we propose a simple yet powerful improvement over the recent Self-Supervised Audio Spectrogram Transformer (SSAST) model for speech and audio classification.
Alan Baade, Puyuan Peng, David Harwath
semanticscholar +1 more source
Measurement of the energy dependence of the e+e− → $$ B\overline{B} $$, $$ B{\overline{B}}^{\ast } $$ and $$ {B}^{\ast }{\overline{B}}^{\ast } $$ exclusive cross sections [PDF]
Journal of High Energy Physics, 2021 We report the first measurement of the exclusive cross sections e+e− → $$ B\overline{B} $$ B B ¯ , e+e− → $$ B{\overline{B}}^{\ast } $$
R. Mizuk +189 more
semanticscholar +1 more source
Asteria: Deep Learning-based AST-Encoding for Cross-platform Binary Code Similarity Detection [PDF]
Dependable Systems and Networks, 2021 Binary code similarity detection is a fundamental technique for many security applications such as vulnerability search, patch analysis, and malware detection.
Shouguo Yang +5 more
semanticscholar +1 more source
Life, 2023 Abnormal levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in human serum are the most sensitive indicator of hepatocellular damage.
Raja Chinnappan +6 more
semanticscholar +1 more source
AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting [PDF]
IEEE Access, 2020 Traffic forecasting is a fundamental and challenging task in the field of intelligent transportation. Accurate forecasting not only depends on the historical traffic flow information but also needs to consider the influence of a variety of external ...
Jiawei Zhu +5 more
semanticscholar +1 more source
Diagnostics, 2023 Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) are important liver enzymes in clinical settings. Their levels are known to be elevated in individuals with underlying liver diseases and those consuming hepatotoxic drugs. Serum ALT and
Raja Chinnappan +6 more
semanticscholar +1 more source
BMC Gastroenterology, 2021 Background Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. Researchers have tried to develop indices to assess liver fibrosis in NAFLD patients to avoid liver biopsy.
Behnaz Amernia +3 more
semanticscholar +1 more source
Elevated AST/ALT ratio is associated with all‐cause mortality and cancer incident
Journal of clinical laboratory analysis (Print), 2022 The aspartate transaminase (AST)‐to‐alanine aminotransferase (ALT) ratio, which is used to measure liver injury, has been found to be associated with some chronic diseases and mortality.
Wangyang Chen +8 more
semanticscholar +1 more source