23 Result(s)
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Article
Joint learning of structural and textual information on propagation network by graph attention networks for rumor detection
Due to the advantages in information dissemination, social media is growing rapidly among the public but has also become a medium for the spread of rumors. Given the serious damage rumors bring to society, det...
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Chapter and Conference Paper
Knowledge Graph Completion via Subgraph Topology Augmentation
Knowledge graph completion (KGC) has achieved widespread success as a key technique to ensure high-quality structured knowledge for downstream tasks (e.g., recommendation systems and question answering). Howev...
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Article
Joint ordinal regression and multiclass classification for diabetic retinopathy grading with transformers and CNNs fusion network
Diabetic retinopathy (DR) is a chronic complication of diabetes that damages the retinal blood vessels, leading to impaired vision and even blindness, and is one of the top three eye diseases causing human bli...
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Article
Exploring gait analysis and deep feature contributions to the screening of cervical spondylotic myelopathy
In the cervical region of middle-aged and elderly patients, cervical spondylotic myelopathy (CSM) is frequently recognized as the primary factor that contributes to spinal cord dysfunction. Numbness and gait d...
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Article
Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning
Cervical spondylotic myelopathy (CSM) is the main cause of cervical spinal cord dysfunction in adults, especially in middle-aged and elderly patients, which easily leads to gait disturbance. In the present stu...
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Chapter and Conference Paper
StPrformer: A Stock Price Prediction Model Based on Convolutional Attention Mechanism
Stock price prediction is a crucial task in quantitative trading. The recent advancements in deep learning have sparked interest in using neural networks to identify stock market patterns. However, existing de...
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Chapter and Conference Paper
The Framework Design of Intelligent Assessment Tasks Recommendation System for Personalized Learning
In teaching, assessment tasks are often used as an important way to evaluate students’ learning abilities. In traditional education, to design an assessment task, e.g., an assignment, teachers are often requir...
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Chapter and Conference Paper
CWA-LSTM: A Stock Price Prediction Model Based on Causal Weight Adjustment
With the advent of the era of big data, various types of data prediction models have been widely studied by scholars. Time series data refers to relevant data where the same features are recorded over consiste...
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Chapter and Conference Paper
Secure RFID Handwriting Recognition–Attacker Can Hear but Cannot Understand
Radio Frequency Identification (RFID) has been adopted in various applications owning to its many attractive properties such as low cost, no requirement on line-of-sight, and battery-free. This paper studies t...
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Chapter and Conference Paper
Research on UAV Scheduling Optimization in the Forest Fire
Wildfire is a kind of fire that occurs in the natural ecosystem, which will affect a series of processes such as ecosystem succession, carbon cycle and natural climate change. In recent years, wildfires contin...
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Chapter and Conference Paper
Root-Cause Analysis of Activation Cascade Differences in Brain Networks
Diffusion MRI imaging and tractography algorithms have enabled the map** of the macro-scale connectome of the entire brain. At the functional level, probably the simplest way to study the dynamics of macro-s...
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Chapter and Conference Paper
Multi-view Heterogeneous Temporal Graph Neural Network for “Click Farming” Detection
Multi-purpose Messaging Mobile App (MMMA) combines several functionalities in a single APP to provide integrated service that brings tremendous convenience to users. Therefore, MMMAs become more and more popul...
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Chapter and Conference Paper
Hard Negative Sample Mining for Contrastive Representation in Reinforcement Learning
In recent years, contrastive learning has become an important technology of self-supervised representation learning and achieved SOTA performances in many fields, which has also gained increasing attention in ...
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Article
Automated Discovery of Geometric Theorems Based on Vector Equations
Automated discovery of geometric theorems has attracted considerable attention from the research community. In this paper, a new method is proposed to discover geometric theorems automatically. This method fir...
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Article
High-dimensional model recovery from random sketched data by exploring intrinsic sparsity
Learning from large-scale and high-dimensional data still remains a computationally challenging problem, though it has received increasing interest recently. To address this issue, randomized reduction methods...
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Chapter and Conference Paper
A Real-Time Recommender System Design Based on Spark Streaming
In the big data environment, the personalized recommender system based on offline batch processing has the advantages of accurate calculation and high fault tolerance. However, due to its large amount of calcu...
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Chapter and Conference Paper
News Headline Corpus Construction and High Frequency Word Extraction
It is a fascinating research topic to use the high-frequency words in the news headlines to compare the cultural values of China and the United States. However, the amount of information on various types of n...
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Chapter and Conference Paper
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers among the population. Screening for PDACs in dynamic contrast-enhanced CT is beneficial for early diagnosis. In this paper, we investig...
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Chapter and Conference Paper
Euge: Effective Utilization of GPU Resources for Serving DNN-Based Video Analysis
Deep Neural Network (DNN) has been widely adopted in video analysis application. The computation involved in DNN is more efficient on GPUs than on CPUs. However, recent serving systems involve the low utilizat...
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Chapter and Conference Paper
No-Reference Video Quality Assessment Based on Ensemble of Knowledge and Data-Driven Models
No-reference (NR) video quality assessment (VQA) aims to evaluate video distortion in line with human visual perception without referring to the corresponding pristine signal. Many methods try to design models...
