14,557 Result(s)
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Open AccessRetraction Note: Using hardware counter-based performance model to diagnose scaling issues of HPC applications
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De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network
Counterfactual inference for continuous rather than binary treatment variables is more common in real-world causal inference tasks. While there are already some sample reweighting methods based on Marginal Str...
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Open AccessExtract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that aggregate explicit social links have shown promising prospects, the...
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Open AccessA Meta-learner approach to multistep-ahead time series prediction
The utilization of machine learning has become ubiquitous in addressing contemporary challenges in data science. Moreover, there has been significant interest in democratizing the decision-making process for s...
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Open AccessExploring AI-driven approaches for unstructured document analysis and future horizons
In the current industrial landscape, a significant number of sectors are grappling with the challenges posed by unstructured data, which incurs financial losses amounting to millions annually. If harnessed eff...
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Iterative missing value imputation based on feature importance
Many datasets suffer from missing values due to various reasons, which not only increases the processing difficulty of related tasks but also reduces the classification accuracy. To address this problem, the m...
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Open AccessKnowledge graph embedding closed under composition
Knowledge Graph Embedding (KGE) has attracted increasing attention. Relation patterns, such as symmetry and inversion, have received considerable focus. Among them, composition patterns are particularly import...
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LightCapsGNN: light capsule graph neural network for graph classification
Graph neural networks (GNNs) have achieved excellent performances in many graph-related tasks. However, they need appropriate pooling operations to deal with the graph classification tasks, and thus, they may ...
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A metaheuristic-based algorithm for optimizing node deployment in wireless sensor network
Communication quality is compromised when wireless sensor network (WSN) operate in harsh environments, which can be improved by supplementing the nodes. This paper proposes a deployment strategy to optimize th...
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Ha-gnn: a novel graph neural network based on hyperbolic attention
Graph neural networks (GNNs) are powerful tools for data mining on graph-structured data in various domains, such as social science, finance, and biology. However, most existing GNNs operate in Euclidean space...
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Relational multi-scale metric learning for few-shot knowledge graph completion
Few-shot knowledge graph completion (FKGC) refers to the task of inferring missing facts in a knowledge graph by utilizing a limited number of reference entities. Most FKGC methods assume a single similarity m...
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Retraction Note: Salient object detection using a covariance-based CNN model in low-contrast images
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JointMETRO: a 3D reconstruction model for human figures in works of art based on transformer
Sculptures and paintings are an important part of our cultural heritage, and 3D reconstruction of the human in them can help us better preserve and inherit this heritage. By creating 3D models of sculptures an...
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PatchMix: patch-level mixup for data augmentation in convolutional neural networks
Convolutional neural networks (CNNs) have demonstrated impressive performance in fitting data distribution. However, due to the complexity in learning intricate features from data, networks usually experience ...
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Prescribed-time cluster synchronization of coupled inertial neural networks: a lifting dimension approach
This paper focuses on the prescribed-time cluster synchronization of coupled inertial neural networks. By variable transformation, the coupled inertial neural networks are converted into high-order systems. An...
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Preference detection of the humanoid robot face based on EEG and eye movement
The face of a humanoid robot can affect the user experience, and the detection of face preference is particularly important. Preference detection belongs to a branch of emotion recognition that has received mu...
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EMARec: a sequential recommendation with exponential moving average
Capturing dynamic preference features from user historical behavioral data is widely applied to improve the accuracy of recommendations in sequential recommendation tasks. However, existing deep neural network...
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Decomposed intrinsic mode functions and deep learning algorithms for water quality index forecasting
The water quality index (WQI) serves as a global representation of river water quality (WQ). Existing studies related to the WQI have mainly focused on two aspects: (i) a WQI point estimation using multiple WQ...
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Optimal design and operation of battery energy storage systems in renewable power plants to reach maximum total electric sale revenues
This paper applies jellyfish search optimization algorithm (JSOA) to maximize electric sale revenue for renewable power plants (RNPPs) with the installation of battery energy storage systems (BESS). Wind turbi...
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Toward accurate and realistic garment texture transfer with attention to details
The categories and styles of garment are constantly diversifying. For designers, it is a pressing issue to evaluate how different fabrics will look on them in a timely manner for users. In this paper, we prese...
