30,891 Result(s)
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Article
Retraction Note: Salient object detection using a covariance-based CNN model in low-contrast images
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Article
HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation
We present a hybrid-view-based knowledge distillation framework, termed HVDistill, to guide the feature learning of a point cloud neural network with a pre-trained image network in an unsupervised manner. By e...
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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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A fine-grained convolutional recurrent model for obstructive sleep apnea detection
Obstructive Sleep Apnea (OSA) is a prevalent sleep-related breathing disorder that leads to various health issues such as hypertension, heart disease, diabetes, and stroke. In order to achieve a convenient, ro...
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TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning
Self-attention, which allows transformers to capture deep bidirectional contexts, plays a vital role in BERT-like pre-trained language models. However, the maximum likelihood pre-training objective of BERT may...
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Time series clustering of dynamical systems via deterministic learning
A recent deterministic learning theory has achieved locally-accurate identification of unknown system dynamics. This article presents a novel application of deterministic learning theory to unsupervised learni...
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Multidta: drug-target binding affinity prediction via representation learning and graph convolutional neural networks
The prediction of Drug-Target Interactions (DTI) plays a pivotal role in drug repositioning research. While recent years have witnessed the proliferation of neural network-based methods for Drug-Target Affinit...
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ClKI: closed-loop and knowledge iterative via self-distillation for image sentiment analysis
Image sentiment analysis has received a lot of attention due to the fact that users prefer to express their private emotions using images on social platforms. Researchers strive to obtain more discriminative f...
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An enhanced vision transformer with scale-aware and spatial-aware attention for thighbone fracture detection
Vision transformers (ViTs) have recently outperformed convolutional neural networks (CNNs) across a variety of deep learning tasks. In the field of orthopedic medicine, the thighbone serves as a critical suppo...
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End-to-end dynamic residual focal transformer network for multimodal medical image fusion
Multimodal medical image fusion aims to improve the clinical practicability of medical images by integrating complementary information from multiple medical images. However, in traditional fusion methods, the ...
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Convolutional neural networks with attention module and compression strategy based on second-order information
In convolutional neural networks, the second-order representation can effectively enhance the nonlinear modeling capability of first-order models, while the scale of parameters also increases significantly, re...
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DynamiSE: dynamic signed network embedding for link prediction
In real-world scenarios, dynamic signed networks are ubiquitous where edges have positive and negative types and evolve over time. Graph neural networks have achieved impressive performance in node representat...
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Multi-task recommendation based on dynamic knowledge graph
Introducing knowledge graphs into recommender systems effectively solves sparsity and cold start problems. However, existing KG recommendation methods such as MKR mostly rely on static knowledge graphs, ignori...
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Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling
There is a growing interest in using reinforcement learning (RL) to personalize sequences of treatments in digital health to support users in adopting healthier behaviors. Such sequential decision-making probl...
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Open AccessA method for visualizing urban road events using distributed acoustic sensing
This study presents the construction of an urban underground sensing system using distributed acoustic sensing (DAS) technology, which utilizes the existing optical fiber infrastructure around urban roads for ...
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Tabular reasoning via two-stage knowledge injection
Tabular reasoning presents a significant challenge in understanding natural language queries in the context of provided tables, mainly because of the complex logical operations involved. Pre-trained language m...
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Research on fuzzy dynamic route choice model and algorithm of wargame
This paper aims at automatic route choice in wargame deduction, that is, using computer algorithms to mimic the route choice of human players. Route choice is the process by which a player of a game chooses th...
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Cost-sensitive sparse group online learning for imbalanced data streams
Effective streaming feature selection in dynamic online environments is essential in numerous applications. However, most existing methods evaluate high-dimensional features individually and ignore the potenti...
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Sub-region aware retrieval-based network with multimodal prior knowledge guidance for microvascular invasion prediction in PET/CT imaging
Accurate preoperative microvascular invasion (MVI) prediction using PET/CT imaging is important for guiding surgical plans and treatment strategies for hepatocellular carcinoma (HCC) patients. Deep learning (D...
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Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration
Pruning deep neural networks is crucial for enabling their deployment on resource-constrained edge devices, where the vast number of parameters and computational requirements pose significant challenges. Howev...
