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Fake News Detection Based on Attention Mechanism and Convolutional Neural Network
The rapid development of social media has made Internet news flood all aspects of our lives, and also facilitated the spread of fake news, so it is...
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Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-attention Mechanism
As the problem of information overload becomes increasingly serious, traditional recommendation algorithms are difficult to efficiently provide...
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NeuProNet: neural profiling networks for sound classification
Real-world sound signals exhibit various aspects of grou** and profiling behaviors, such as being recorded from identical sources, having similar...
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Mitigating Catastrophic Forgetting in Neural Machine Translation Through Teacher-Student Distillation with Attention Mechanism
The catastrophic forgetting is a critical problem for deep learning models, where the models learning a sequence of tasks forgets the previously...
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SG-NeRF: Sparse-Input Generalized Neural Radiance Fields for Novel View Synthesis
Traditional neural radiance fields for rendering novel views require intensive input images and pre-scene optimization, which limits their practical...
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SATCN: An Improved Temporal Convolutional Neural Network with Self Attention Mechanism for Knowledge Tracing
With the rapid expansion of E-education, knowledge tracing (KT) has become a fundamental mission which traces the formation of learners’ knowledge...
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Multi-objective Evolutionary Neural Architecture Search for Recurrent Neural Networks
Artificial neural network (NN) architecture design is a nontrivial and time-consuming task that often requires a high level of human expertise....
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Cross-Relational Reasoning for Neural Tensor Networks
Neural tensor networks are knowledge graph embedding models which infer relationships between two given entities. Although demonstrated to be...
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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...
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Human Action Recognition Based on LSTM Neural Network Algorithm
As a special recursive neural network, LSTM can avoid the dependency problem of RNN long-term memory to a certain extent. Although the data flow...
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Mechanism design for public projects via three machine learning based approaches
We study mechanism design for nonexcludable and excludable binary public project problems. Our aim is to maximize the expected number of consumers...
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Augmenting Convolution Neural Networks by Utilizing Attention Mechanism for Knowledge Tracing
The devastating, ongoing Covid-19 epidemic has led to many students resorting to online education. In order to better guarantee the quality, online...
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Deep Neural Networks
Neocognitron is a neural network with the configuration shown in Fig. 5.1. It is a hierarchical multi-layered neural network by Kunihiko Fukushima...
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An improved multi-scale convolutional neural network with gated recurrent neural network model for protein secondary structure prediction
Protein structure prediction is one of the main research areas in the field of Bio-informatics. The importance of proteins in drug design attracts...
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Novel GCN Model Using Dense Connection and Attention Mechanism for Text Classification
Convolutional Neural Network (CNN) or Recurrent Neural Network (RNN) based text classification algorithms currently in use can successfully extract...
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Vibration analysis and control of aircraft landing systems using proposed neural controllers
Nowadays, landing gears used in aircraft are the basic systems that carry the weight of aircraft systems and provide them to move on the ground....
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TULAM: trajectory-user linking via attention mechanism
Recently, the application of location-based services (LBS) has become a prevalent means to provide convenience in customers’ everyday lives. However,...
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GANCDE: Neural networks based on graphs and attention neural control differential equations for human activity recognition
The success of human activity recognition relies on the extraction of effective features, which can provide richer information for subsequent...
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NBA: defensive distillation for backdoor removal via neural behavior alignment
Recently, deep neural networks have been shown to be vulnerable to backdoor attacks. A backdoor is inserted into neural networks via this attack...
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A Novel Mechanism for Tuning Neural Network for Malware Detection in Android Device
Malicious software or code that is specifically targeted towards Android devices, such as smartphones and tablets running the Android operating...