Youyi Song
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Author Swipe
View article: AVPpred-BWR: antiviral peptides prediction via biological words representation
AVPpred-BWR: antiviral peptides prediction via biological words representation Open
Motivation Antiviral peptides (AVPs) are short chains of amino acids, showing great potential as antiviral drugs. The traditional wisdom (e.g. wet experiments) for identifying the AVPs is time-consuming and laborious, while cutting-edge co…
View article: Gravitational search algorithm‐extreme learning machine for COVID‐19 active cases forecasting
Gravitational search algorithm‐extreme learning machine for COVID‐19 active cases forecasting Open
Corona Virus disease 2019 (COVID‐19) has shattered people's daily lives and is spreading rapidly across the globe. Existing non‐pharmaceutical intervention solutions often require timely and precise selection of small areas of people for c…
View article: Quantitative Analysis of Anesthesia Recovery Time by Machine Learning Prediction Models
Quantitative Analysis of Anesthesia Recovery Time by Machine Learning Prediction Models Open
It is significant for anesthesiologists to have a precise grasp of the recovery time of the patient after anesthesia. Accurate prediction of anesthesia recovery time can support anesthesiologist decision-making during surgery to help reduc…
View article: Spatiotemporal Adaptive Fusion Graph Network for Short-Term Traffic Flow Forecasting
Spatiotemporal Adaptive Fusion Graph Network for Short-Term Traffic Flow Forecasting Open
Traffic flow forecasting is challenging for us to analyze intricate spatial–temporal dependencies and obtain incomplete information of spatial–temporal connection. Existing frameworks mostly construct spatial and temporal modeling based on…
View article: A Noise‐Immune Boosting Framework for Short‐Term Traffic Flow Forecasting
A Noise‐Immune Boosting Framework for Short‐Term Traffic Flow Forecasting Open
Accurate short‐term traffic flow modeling is an essential prerequisite to analyze and control traffic flow. Canonical data‐driven methods are a large account of parameters that may be underfitted with limited training samples, yet they can…
View article: ST-TrafficNet: A Spatial-Temporal Deep Learning Network for Traffic Forecasting
ST-TrafficNet: A Spatial-Temporal Deep Learning Network for Traffic Forecasting Open
This paper presents a spatial-temporal deep learning network, termed ST-TrafficNet, for traffic flow forecasting. Recent deep learning methods highly relate accurate predetermined graph structure for the complex spatial dependencies of tra…
View article: Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation
Constrained Multi-shape Evolution for Overlapping Cytoplasm Segmentation Open
Segmenting overlapping cytoplasm of cells in cervical smear images is a clinically essential task, for quantitatively measuring cell-level features in order to diagnose cervical cancer. This task, however, remains rather challenging, mainl…
View article: CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images Open
Exploiting more information from ground truth (GT) images now is a new research direction for further improving CNN's performance in CT image segmentation. Previous methods focus on devising the loss function for fulfilling such a purpose.…
View article: A Sample-Rebalanced Outlier-Rejected $k$ -Nearest Neighbor Regression Model for Short-Term Traffic Flow Forecasting
A Sample-Rebalanced Outlier-Rejected $k$ -Nearest Neighbor Regression Model for Short-Term Traffic Flow Forecasting Open
Short-term traffic flow forecasting is a fundamental and challenging task due to the stochastic dynamics of the traffic flow, which is often imbalanced and noisy. This paper presents a sample-rebalanced and outlier-rejected k-nearest neigh…
View article: Relationship Between Health Status and Physical Fitness of College Students From South China: An Empirical Study by Data Mining Approach
Relationship Between Health Status and Physical Fitness of College Students From South China: An Empirical Study by Data Mining Approach Open
This study aims to reveal the scientific associations between the motor competence related physical fitness and the medical health status of college students from south China. Two hundred and fourteen college students, including 112 males …
View article: An Audio Data Representation for Traffic Acoustic Scene Recognition
An Audio Data Representation for Traffic Acoustic Scene Recognition Open
Acoustic scene recognition (ASR), recognizing acoustic environments given an audio recording of the scene, has a wide range of applications, e.g. robotic navigation and audio forensic. However, ASR remains challenging mainly due to the dif…
View article: PSO-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting
PSO-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting Open
Accurate and reliable traffic flow forecasting is of importance for urban planning and mitigation of traffic congestion, and it is also the basis for the deployment of intelligent traffic management systems. However, constructing a reasona…
View article: Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments
Automated Segmentation of Overlapping Cytoplasm in Cervical Smear Images via Contour Fragments Open
We present a novel method for automated segmentation of overlapping cytoplasm in cervical smear images based on contour fragments. We formulate the segmentation problem as a graphical model, and employ the contour fragments generated from …