2,028 Result(s)
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Computer Science
English
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Article
SIM-GCN: similarity graph convolutional networks for charges prediction
In recent years, the analysis of legal judgments and the prediction of outcomes based on case factual descriptions have become hot research topics in the field of judiciary. Among them, the task of charge pred...
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Article
Open AccessHierarchical adaptive evolution framework for privacy-preserving data publishing
The growing need for data publication and the escalating concerns regarding data privacy have led to a surge in interest in Privacy-Preserving Data Publishing (PPDP) across research, industry, and government s...
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Article
Multi-factor stock price prediction based on GAN-TrellisNet
Applying deep learning, especially time series neural networks, to predict stock price, has become one of the important applications in quantitative finance. Recently, some GAN-based stock prediction models ar...
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Article
Proposal Distribution optimization for Endorsement Strategy in Hyperledger Fabric
High throughput and low latency are essential for the endorsement phase in the Hyperledger Fabric system (HFS). Currently, endorser nodes can be selected by clients through static configuration or service disc...
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FRR-NET: a fast reparameterized residual network for low-light image enhancement
Low-light image enhancement algorithm is an important branch in the field of image enhancement algorithms. To solve the problem of severe feature degradation in enhanced images after brightness enhancement, mu...
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Open AccessEffectiveness assessment of recent large vision-language models
The advent of large vision-language models (LVLMs) represents a remarkable advance in the quest for artificial general intelligence. However, the models’ effectiveness in both specialized and general tasks war...
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Article
TransFGVC: transformer-based fine-grained visual classification
Fine-grained visual classification (FGVC) aims to identify subcategories of objects within the same superclass. This task is challenging owing to high intra-class variance and low inter-class variance. The mos...
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Integrated self-supervised label propagation for label imbalanced sets
Label propagation is an essential graph-based semi-supervised learning algorithm. However, the algorithm has two problems: how to effectively measure sample similarity and handle label imbalanced sets. Recent ...
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Article
Open AccessThe application of evolutionary computation in generative adversarial networks (GANs): a systematic literature survey
As a subfield of deep learning (DL), generative adversarial networks (GANs) have produced impressive generative results by applying deep generative models to create synthetic data and by performing an adversar...
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Article
Towards Generalized UAV Object Detection: A Novel Perspective from Frequency Domain Disentanglement
When deploying unmanned aerial vehicle (UAV) object detection networks to complex, real-world scenes, generalization ability is often reduced due to domain shift. While most existing domain-generalized object ...
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Article
Open AccessSimulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction
Early diagnosis and accurate prognosis of colorectal cancer is critical for determining optimal treatment plans and maximizing patient outcomes, especially as the disease progresses into liver metastases. Comp...
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Article
Locally differentially private frequency distribution estimation with relative error optimization
In this paper, an iterative framework iterUA is designed for publishing frequency distribution with reduced relative error on multidimensional data under LDP. In each iteration step, the optimized user allocation...
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Article
EDFIDepth: enriched multi-path vision transformer feature interaction networks for monocular depth estimation
Monocular depth estimation (MDE) aims to predict pixel-level dense depth maps from a single RGB image. Some recent approaches mainly rely on encoder–decoder architectures to capture and process multi-scale fea...
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Article
Enhancing fault localization in microservices systems through span-level using graph convolutional networks
In the domain of cloud computing and distributed systems, microservices architecture has become preeminent due to its scalability and flexibility. However, the distributed nature of microservices systems intro...
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Article
Gaussian-based adaptive frame skip** for visual object tracking
Visual object tracking is a basic computer vision problem, which has been greatly developed in recent years. Although the accuracy of object tracking algorithms has been improved, the efficiency of most tracke...
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Article
Micro drill defect detection with hybrid BP networks, clusters selection and crossover
According to the solution requirements, linear BP neural networks are designed which are consistent with the feature curves of the fitted equation, when the neural networks reach the equilibrium and stable sta...
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Article
Open AccessLeveraging Semantic Information for Enhanced Community Search in Heterogeneous Graphs
Community search (CS) is a vital research area in network science that focuses on discovering personalized communities for query vertices from graphs. However, existing CS methods mainly concentrate on homogen...
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Article
Methods of incorporating common element characteristics for law article prediction
Law article prediction is a task of predicting the relevant laws and regulations involved in a case according to the description text of the case, and it has broad application prospects in improving judicial e...
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Article
PCDR-DFF: multi-modal 3D object detection based on point cloud diversity representation and dual feature fusion
Recently, multi-modal 3D object detection techniques based on point clouds and images have received increasing attention. However, existing methods for multi-modal feature fusion are often relatively singular,...
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Article
Interpretable Task-inspired Adaptive Filter Pruning for Neural Networks Under Multiple Constraints
Existing methods for filter pruning mostly rely on specific data-driven paradigms but lack the interpretability. Besides, these approaches usually assign layer-wise compression ratios automatically only under ...
