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Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part I / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li
| Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part I / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li |
| Autore | Luo Biao |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (614 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
ChengLong
WuZheng-Guang LiHongyi LiChaojie |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Social sciences - Data processing Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences |
| ISBN | 981-9980-79-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and Algorithms -- Single Feedback Based Kernel Generalized Maximum Correntropy Adaptive Filtering Algorithm -- Application of Deep learning methods in the Diagnosis of Coronary Heart Disease based on Electronic Health Record -- Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games -- Traffic Data Recovery and Outlier Detection based on Non-Negative Matrix Factorization and Truncated-Quadratic Loss Function -- ADEQ: Adaptive Diversity Enhancement for Zero-shot Quantization -- ASTPSI: Allocating Spare Time and Planning Speed Interval for Intelligent Train Control of Sparse Reward -- Amortized variational inference via Nos\'e-Hoover Thermostat Hamiltonian Monte Carlo -- AM-RRT*: An Automatic Robot Motion Planning Algorithm based on RRT -- MS3DAAM: Multi-scale 3-D Analytic Attention Module for Convolutional Neural Networks -- Nonlinear Multiple-delay Feedback Based Kernel Least Mean Square Algorithm -- AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs -- Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks -- Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses -- Multimodal Isotropic Neural Architecture with Patch Embedding -- Determination of local and global decision weights based on fuzzy modeling -- Binary Mother Tree Optimization Algorithm for 0/1 Knapsack Problem -- Distributed State Estimation for Multi-Agent Systems Under Consensus Control -- Integrated Design of Fully Distributed Adaptive State Estimation and Consensus Control for Multi-Agent Systems -- Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level -- High-order control barrier function based robust collision avoidance formation tracking of constrained multi-agent systems -- Decision Support System based on MLP: Formula One (F1) Grand Prix Study Case -- Theoretical Analysis of Gradient-Zhang Neural Network for Time-Varying Equations and Improved Method for Linear Equations -- EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices -- Mastering Complex Coordination through Attention-based Dynamic Graph -- SORA: Improving Multi-agent Cooperation with a Soft Role Assignment Mechanism -- Outer Synchronization for Multi-Derivative Coupled Complex Networks with and without External Disturbance -- A Distributed Projection-based Algorithm with Local Estimators for Optimal Formation of Multi-robot System -- A Stochastic Gradient-based Projection Algorithm for Distributed Constrained Optimization -- FalconNet: Factorization for the Light-weight ConvNets -- An Interactive Evolutionary Algorithm for Ceramic Formula Design -- Using Less But Important Information for Feature Distillation -- Efficient Mobile Robot Navigation Based on Federated Learning and Three-way Decisions -- GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis -- Adaptive load frequency control and optimization based on TD3 algorithm and linear active disturbance rejection control -- Theory-guided Convolutional Neural Network with an Enhanced Water Flow Optimizer -- An End-to-End Dense Connected Heterogeneous Graph Convolutional Neural Network -- Actor-Critic with variable time discretization via sustained actions -- Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis -- Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter -- Cascaded fuzzy PID control for quadrotor UAVs based on RBF neural networks -- Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics -- Communication-Efficient Distributed Minimax Optimization via Markov Compression -- Multi-Level Augmentation Boosts Hybrid CNN-Transformer Model for Semi-Supervised Cardiac MRI Segmentation -- Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning -- An Adaptive Detector for Few Shot Object Detection. |
| Record Nr. | UNINA-9910763593303321 |
Luo Biao
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VI / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li
| Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VI / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li |
| Autore | Luo Biao |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (521 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
ChengLong
WuZheng-Guang LiHongyi LiChaojie |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Social sciences - Data processing Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences |
| ISBN | 981-9980-76-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MIC: An Effective Defense Against Word-level Textual Backdoor Attacks -- Active Learning for Open-set Annotation Using Contrastive Query Strategy -- Cross-Domain Bearing Fault Diagnosis Method Using Hierarchical Pseudo Labels -- Differentiable Topics Guided New Paper Recommendation -- IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer -- OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction -- Enhancing Heterogeneous Graph Contrastive Learning with Strongly Correlated Subgraphs -- DRPDDet: Dynamic Rotated Proposals Decoder for Oriented object detection -- MFSFFuse: Multi-Receptive Field Feature Extraction for Infrared and Visible Image Fusion using Self-Supervised Learning -- Progressive Temporal Transformer for Bird's-Eye-View Camera Pose Estimation -- Adaptive Focal Inverse Distance Transform Maps for Cell Recognition -- Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates -- Micro-Expression Recognition Based on PCB-PCANet+ -- Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios -- Optimal Task Grouping Approach in Multitask Learning -- Effective Guidance in Zero-Shot Multilingual Translation via Multiple Language Prototypes -- Extending DenseHMM with Continuous Emission -- An Efficient Enhanced-YOLOv5 Algorithm for Multi-scale Ship Detection -- Double-Layer Blockchain-Based Decentralized Integrity Verification for Multi-Chain Cross-Chain Data -- Inter-modal Fusion Network with Graph Structure Preserving for Fake News Detection -- Learning to Match Features with Geometry-aware Pooling -- PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic -- Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection -- Exploring Non-Isometric Alignment Inference for Representation Learning of Irregular Sequences -- Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain -- Improving GNSS-R Sea Surface Wind Speed Retrieval from FY-3E Satellite Using Multi-Task Learning and Physical Information -- Incorporating Syntactic Cognitive in Multi-granularity Data Augmentation for Chinese Grammatical Error Correction -- Long Short-Term Planning for Conversational Recommendation Systems -- Gated Bi-View Graph Structure Learning -- How Legal Knowledge Graph Can Help Predict Charges for Legal Text -- CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition -- Introducing Semantic-based Receptive Field into Semantic Segmentation via Graph Neural Networks -- Transductive Cross-Lingual Scene-Text Visual Question Answering -- Learning Representations for Sparse Crowd Answers -- Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System based on Deep Domain Adaptation. |
| Record Nr. | UNINA-9910763591103321 |
|
Luo Biao
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part III / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li
| Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part III / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li |
| Autore | Luo Biao |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (632 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
ChengLong
WuZheng-Guang LiHongyi LiChaojie |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Social sciences - Data processing Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences |
| ISBN | 981-9980-67-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and Algorithms -- Efficient Lightweight Network with Transformer-based Distillation for Micro-crack Detection of Solar Cells -- {MTLAN: Multi-Task Learning and Auxiliary Network for Enhanced Sentence Embedding -- Correlated Online k-Nearest Neighbors Regressor Chain for Online Multi-Output Regression -- Evolutionary Computation for Berth Allocation Problems: A Survey -- Cognitive Neurosciences -- Privacy-Preserving Travel Time Prediction for Internet of Vehicles: A Crowdsensing and Federated Learning Approach -- A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI -- RMPE:Reducing Residual Membrane Potential Error for Enabling High-accuracy and Ultra-low-latency Spiking Neural Networks -- An improved target searching and imaging method for CSAR -- Block-Matching Multi-Pedestrian Tracking -- RPF3D: Range-Pillar Feature Deep Fusion 3D Detector for Autonomous Driving -- Traffic Signal Control Optimization Based on Deep Reinforcement Learning With Attention Mechanisms -- CMCI: A Robust Multimodal Fusion Method For Spiking Neural Networks -- A Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using MRI and Incomplete Labels -- Two-Stream Spectral-Temporal Denoising Network for End-to-end Robust EEG-based Emotion Recognition -- Brain-inspired Binaural Sound Source Localization Method Based On Liquid State Machine -- A Causality-Based Interpretable Cognitive Diagnosis Model -- RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning -- High-dimensional multi-objective PSO based on radial projection -- Link Prediction Based on the Sub-graphs Learning with Fused Features -- Naturalistic Emotion Recognition Using EEG and Eye Movements -- Task Scheduling With Improved Particle Swarm Optimization In Cloud Data Center -- Traffic Signal Optimization at T-shaped intersections Based on Deep Q Networks -- A Multi-task Framework for Solving Multimodal Multiobjective Optimization Problems -- Domain Generalized Object Detection with Triple Graph Reasoning Network -- RPUC: Semi-supervised 3D Biomedical Image Segmentation through Rectified Pyramid Unsupervised Consistency -- Cancellable iris recognition scheme based on inversion fusion and local ranking -- EWMIGCN: Emotional Weighting based Multimodal Interaction Graph Convolutional Networks for Personalized Prediction -- Neighborhood Learning for Artificial Bee Colony Algorithm: A Mini-survey -- Human Centred Computing -- Channel Attention Separable Convolution Network for Skin Lesion Segmentation -- A DNN-based Learning Framework for Continuous Movements Segmentation -- Neural-Symbolic Recommendation with Graph-Enhanced Information -- Contrastive Hierarchical Gating Networks for Rating Prediction -- Interactive Selection Recommendation Based on the Multi-Head Attention Graph Neural Network -- CM-TCN: Channel-aware Multi-scale Temporal Convolutional Networks For Speech Emotion Recognition -- FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependencies -- Domain-Invariant Task Optimization for Cross-domain Recommendation -- Ensemble of randomized neural network and boosted trees for eye tracking-based driver situation awareness recognition and interpretation -- Temporal Modeling Approach for Video Action Recognition Based on Vision-Language Models -- A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images -- User stance aware network for rumor detection using semantic relation inference and temporal graph convolution -- IEEG-CT: A CNN and Transformer Based Method for Intracranial EEG Signal Classification -- Multi-Task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion -- Fast and Efficient Brain Extraction with Recursive MLP based 3D UNet -- A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis -- Evaluation of football players' performance based on Multi-Criteria Decision Analysis approach and sensitivity analysis. . |
| Record Nr. | UNISA-996565868703316 |
|
Luo Biao
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part I / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li
| Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part I / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li |
| Autore | Luo Biao |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (614 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
ChengLong
WuZheng-Guang LiHongyi LiChaojie |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Social sciences - Data processing Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences |
| ISBN | 981-9980-79-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and Algorithms -- Single Feedback Based Kernel Generalized Maximum Correntropy Adaptive Filtering Algorithm -- Application of Deep learning methods in the Diagnosis of Coronary Heart Disease based on Electronic Health Record -- Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games -- Traffic Data Recovery and Outlier Detection based on Non-Negative Matrix Factorization and Truncated-Quadratic Loss Function -- ADEQ: Adaptive Diversity Enhancement for Zero-shot Quantization -- ASTPSI: Allocating Spare Time and Planning Speed Interval for Intelligent Train Control of Sparse Reward -- Amortized variational inference via Nos\'e-Hoover Thermostat Hamiltonian Monte Carlo -- AM-RRT*: An Automatic Robot Motion Planning Algorithm based on RRT -- MS3DAAM: Multi-scale 3-D Analytic Attention Module for Convolutional Neural Networks -- Nonlinear Multiple-delay Feedback Based Kernel Least Mean Square Algorithm -- AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs -- Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks -- Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses -- Multimodal Isotropic Neural Architecture with Patch Embedding -- Determination of local and global decision weights based on fuzzy modeling -- Binary Mother Tree Optimization Algorithm for 0/1 Knapsack Problem -- Distributed State Estimation for Multi-Agent Systems Under Consensus Control -- Integrated Design of Fully Distributed Adaptive State Estimation and Consensus Control for Multi-Agent Systems -- Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level -- High-order control barrier function based robust collision avoidance formation tracking of constrained multi-agent systems -- Decision Support System based on MLP: Formula One (F1) Grand Prix Study Case -- Theoretical Analysis of Gradient-Zhang Neural Network for Time-Varying Equations and Improved Method for Linear Equations -- EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices -- Mastering Complex Coordination through Attention-based Dynamic Graph -- SORA: Improving Multi-agent Cooperation with a Soft Role Assignment Mechanism -- Outer Synchronization for Multi-Derivative Coupled Complex Networks with and without External Disturbance -- A Distributed Projection-based Algorithm with Local Estimators for Optimal Formation of Multi-robot System -- A Stochastic Gradient-based Projection Algorithm for Distributed Constrained Optimization -- FalconNet: Factorization for the Light-weight ConvNets -- An Interactive Evolutionary Algorithm for Ceramic Formula Design -- Using Less But Important Information for Feature Distillation -- Efficient Mobile Robot Navigation Based on Federated Learning and Three-way Decisions -- GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis -- Adaptive load frequency control and optimization based on TD3 algorithm and linear active disturbance rejection control -- Theory-guided Convolutional Neural Network with an Enhanced Water Flow Optimizer -- An End-to-End Dense Connected Heterogeneous Graph Convolutional Neural Network -- Actor-Critic with variable time discretization via sustained actions -- Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis -- Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter -- Cascaded fuzzy PID control for quadrotor UAVs based on RBF neural networks -- Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics -- Communication-Efficient Distributed Minimax Optimization via Markov Compression -- Multi-Level Augmentation Boosts Hybrid CNN-Transformer Model for Semi-Supervised Cardiac MRI Segmentation -- Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning -- An Adaptive Detector for Few Shot Object Detection. |
| Record Nr. | UNISA-996565869303316 |
|
Luo Biao
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VI / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li
| Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part VI / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li |
| Autore | Luo Biao |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (521 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
ChengLong
WuZheng-Guang LiHongyi LiChaojie |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Social sciences - Data processing Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences |
| ISBN | 981-9980-76-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | MIC: An Effective Defense Against Word-level Textual Backdoor Attacks -- Active Learning for Open-set Annotation Using Contrastive Query Strategy -- Cross-Domain Bearing Fault Diagnosis Method Using Hierarchical Pseudo Labels -- Differentiable Topics Guided New Paper Recommendation -- IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer -- OD-Enhanced Dynamic Spatial-Temporal Graph Convolutional Network for Metro Passenger Flow Prediction -- Enhancing Heterogeneous Graph Contrastive Learning with Strongly Correlated Subgraphs -- DRPDDet: Dynamic Rotated Proposals Decoder for Oriented object detection -- MFSFFuse: Multi-Receptive Field Feature Extraction for Infrared and Visible Image Fusion using Self-Supervised Learning -- Progressive Temporal Transformer for Bird's-Eye-View Camera Pose Estimation -- Adaptive Focal Inverse Distance Transform Maps for Cell Recognition -- Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates -- Micro-Expression Recognition Based on PCB-PCANet+ -- Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios -- Optimal Task Grouping Approach in Multitask Learning -- Effective Guidance in Zero-Shot Multilingual Translation via Multiple Language Prototypes -- Extending DenseHMM with Continuous Emission -- An Efficient Enhanced-YOLOv5 Algorithm for Multi-scale Ship Detection -- Double-Layer Blockchain-Based Decentralized Integrity Verification for Multi-Chain Cross-Chain Data -- Inter-modal Fusion Network with Graph Structure Preserving for Fake News Detection -- Learning to Match Features with Geometry-aware Pooling -- PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic -- Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection -- Exploring Non-Isometric Alignment Inference for Representation Learning of Irregular Sequences -- Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain -- Improving GNSS-R Sea Surface Wind Speed Retrieval from FY-3E Satellite Using Multi-Task Learning and Physical Information -- Incorporating Syntactic Cognitive in Multi-granularity Data Augmentation for Chinese Grammatical Error Correction -- Long Short-Term Planning for Conversational Recommendation Systems -- Gated Bi-View Graph Structure Learning -- How Legal Knowledge Graph Can Help Predict Charges for Legal Text -- CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition -- Introducing Semantic-based Receptive Field into Semantic Segmentation via Graph Neural Networks -- Transductive Cross-Lingual Scene-Text Visual Question Answering -- Learning Representations for Sparse Crowd Answers -- Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System based on Deep Domain Adaptation. |
| Record Nr. | UNISA-996565869403316 |
|
Luo Biao
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part III / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li
| Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part III / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li |
| Autore | Luo Biao |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (632 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
ChengLong
WuZheng-Guang LiHongyi LiChaojie |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition systems
Data mining Machine learning Social sciences - Data processing Automated Pattern Recognition Data Mining and Knowledge Discovery Machine Learning Computer Application in Social and Behavioral Sciences |
| ISBN | 981-9980-67-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and Algorithms -- Efficient Lightweight Network with Transformer-based Distillation for Micro-crack Detection of Solar Cells -- {MTLAN: Multi-Task Learning and Auxiliary Network for Enhanced Sentence Embedding -- Correlated Online k-Nearest Neighbors Regressor Chain for Online Multi-Output Regression -- Evolutionary Computation for Berth Allocation Problems: A Survey -- Cognitive Neurosciences -- Privacy-Preserving Travel Time Prediction for Internet of Vehicles: A Crowdsensing and Federated Learning Approach -- A Fine-Grained Domain Adaptation Method for Cross-Session Vigilance Estimation in SSVEP-Based BCI -- RMPE:Reducing Residual Membrane Potential Error for Enabling High-accuracy and Ultra-low-latency Spiking Neural Networks -- An improved target searching and imaging method for CSAR -- Block-Matching Multi-Pedestrian Tracking -- RPF3D: Range-Pillar Feature Deep Fusion 3D Detector for Autonomous Driving -- Traffic Signal Control Optimization Based on Deep Reinforcement Learning With Attention Mechanisms -- CMCI: A Robust Multimodal Fusion Method For Spiking Neural Networks -- A Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using MRI and Incomplete Labels -- Two-Stream Spectral-Temporal Denoising Network for End-to-end Robust EEG-based Emotion Recognition -- Brain-inspired Binaural Sound Source Localization Method Based On Liquid State Machine -- A Causality-Based Interpretable Cognitive Diagnosis Model -- RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning -- High-dimensional multi-objective PSO based on radial projection -- Link Prediction Based on the Sub-graphs Learning with Fused Features -- Naturalistic Emotion Recognition Using EEG and Eye Movements -- Task Scheduling With Improved Particle Swarm Optimization In Cloud Data Center -- Traffic Signal Optimization at T-shaped intersections Based on Deep Q Networks -- A Multi-task Framework for Solving Multimodal Multiobjective Optimization Problems -- Domain Generalized Object Detection with Triple Graph Reasoning Network -- RPUC: Semi-supervised 3D Biomedical Image Segmentation through Rectified Pyramid Unsupervised Consistency -- Cancellable iris recognition scheme based on inversion fusion and local ranking -- EWMIGCN: Emotional Weighting based Multimodal Interaction Graph Convolutional Networks for Personalized Prediction -- Neighborhood Learning for Artificial Bee Colony Algorithm: A Mini-survey -- Human Centred Computing -- Channel Attention Separable Convolution Network for Skin Lesion Segmentation -- A DNN-based Learning Framework for Continuous Movements Segmentation -- Neural-Symbolic Recommendation with Graph-Enhanced Information -- Contrastive Hierarchical Gating Networks for Rating Prediction -- Interactive Selection Recommendation Based on the Multi-Head Attention Graph Neural Network -- CM-TCN: Channel-aware Multi-scale Temporal Convolutional Networks For Speech Emotion Recognition -- FLDNet: A Foreground-Aware Network for Polyp Segmentation Leveraging Long-Distance Dependencies -- Domain-Invariant Task Optimization for Cross-domain Recommendation -- Ensemble of randomized neural network and boosted trees for eye tracking-based driver situation awareness recognition and interpretation -- Temporal Modeling Approach for Video Action Recognition Based on Vision-Language Models -- A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images -- User stance aware network for rumor detection using semantic relation inference and temporal graph convolution -- IEEG-CT: A CNN and Transformer Based Method for Intracranial EEG Signal Classification -- Multi-Task Learning Network for Automatic Pancreatic Tumor Segmentation and Classification with Inter-Network Channel Feature Fusion -- Fast and Efficient Brain Extraction with Recursive MLP based 3D UNet -- A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis -- Evaluation of football players' performance based on Multi-Criteria Decision Analysis approach and sensitivity analysis. . |
| Record Nr. | UNINA-9910765480103321 |
|
Luo Biao
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XI / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li
| Neural Information Processing [[electronic resource] ] : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XI / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li |
| Autore | Luo Biao |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (617 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
ChengLong
WuZheng-Guang LiHongyi LiChaojie |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Pattern recognition systems
Computer science Data mining Data structures (Computer science) Information theory Automated Pattern Recognition Theory and Algorithms for Application Domains Data Mining and Knowledge Discovery Data Structures and Information Theory |
| ISBN | 981-9981-45-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications -- Multi-intent Description of Keyword Expansion for Code Search -- Few-Shot NER in Marine Ecology using Deep Learning -- Knowledge Prompting with Contrastive Learning for Unsupervised Commonsense Question Answering -- PTCP: Alleviate Layer Collapse in Pruning at Initialization via Parameter Threshold Compensation and Preservation -- Hierarchical Attribute-Based Encryption Scheme Supporting Computing Outsourcing and Time-Limited Access in Edge Computing -- An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application -- Efficient Prompt Tuning for Vision and Language Models -- Spatiotemporal PM2.5 Pollution Prediction Using Cloud-Edge Intelligence -- From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values -- PLKA-MVSNet: Parallel Multi-View Stereo with Large Kernel Convolution Attention -- Enhancement of Masked Expression Recognition Inference Via Fusion Segmentation and Classifier -- Semantic Line Detection Using Deep-Hough Network with Attention Mechanism and Strip Convolution -- Adaptive Multi-hop Neighbor Selection for Few-shot Knowledge Graph Completion -- Applications of Quantum Embedding in Computer Vision -- Traffic Accident Forecasting Based on a GrDBN-GPR Model with Integrated Road Features -- Phishing Scam Detection for Ethereum Based on Community Enhanced Graph Convolutional Networks -- DTP: An Open-domain Text Relation Extraction Method -- Exploring the Capability of ChatGPT for Cross-Linguistic Agricultural Document Classification: Investigation and Evaluation.-Multi-Task Feature Self-Distillation for Semi-Supervised Machine Translation -- ADGCN: A Weakly Supervised Framework for Anomaly Detection in Social Networks -- Light Field Image Super-Resolution via Global-View Information Adaptation-Guided Deformable Convolution Network -- Contrastive Learning Augmented Graph Auto-Encoder for Graph Embedding -- Enhancing Spatial Consistency and Class-level Diversity for Segmenting Fine-grained Objects -- Diachronic Named Entity Disambiguation for Ancient Chinese Historical Records -- Construction and Prediction of a Dynamic Multi-Relationship Bipartite Network -- Category-wise Fine-Tuning for Image Multi-label Classification with Partial Labels -- DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation -- Semantic Segmentation of Multispectral Remote Sensing Images with Class Imbalance Using Contrastive Learning -- ESTNet: Efficient Spatio-Temporal Network for Industrial Smoke Detection -- Algorithm for Generating Tire Defect Images Based on RS-GAN -- Novel-Registrable Weights and Region-Level Contrastive Learning for Incremental Few-Shot Object Detection -- Hybrid U-Net: Instrument Semantic Segmentation in RMIS -- Continual Domain Adaption for Neural Machine Translation -- Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension -- Partial Multi-label Learning via Constraint Clustering -- Abstractive Multi-document Summarization with Cross-Documents Discourse Relations -- MelMAE-VC: Extending Masked Autoencoders to Voice Conversion -- Aspect-level sentiment analysis using dual probability graph convolutional networks (DP-GCN) integrating multi-scale information -- Privacy-preserving Image Classification and Retrieval Scheme over Encrypted Images -- An End-To-End Structure with novel position mechanism and improved EMD for Stock Forecasting -- Multiscale Network with Equivalent Large Kernel Attention for Crowd Counting -- M$^3$FGM:A Node Masking and Multi-granularity Message passing-based Federated Graph Model for Spatial-Temporal Data Prediction -- LenANet: A Length-controllable Attention Network for Source Code Summarization -- Self-Supervised Multimodal Representation Learning for Product Identification and Retrieval. |
| Record Nr. | UNINA-9910766893603321 |
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Luo Biao
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XIV / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li
| Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part XIV / / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li |
| Autore | Luo Biao |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (612 pages) |
| Disciplina | 006.4 |
| Altri autori (Persone) |
ChengLong
WuZheng-Guang LiHongyi LiChaojie |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Pattern recognition systems
Computer science Data mining Data structures (Computer science) Information theory Automated Pattern Recognition Theory and Algorithms for Application Domains Data Mining and Knowledge Discovery Data Structures and Information Theory |
| ISBN | 981-9981-81-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Applications -- Road Surface Segmentation and Detection Under Extreme Weather Conditions Based on Mask-RCNN -- I-RAFT: Optical Flow Estimation Model Based on Multi-scale Initialization Strategy -- Educational Pattern Guided Self-Knowledge Distillation for Siamese Visual Tracking -- LSiF: Log-Gabor Empowered Siamese Federated Learning for Efficient Obscene Image Classification in the Era of Industry 5.0 -- Depth Normalized Stable View Synthesis -- Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study -- Image Inpainting with Semantic U-Transformer -- Multi-scale Context Aggregation for Video-based Person Re-identification -- Enhancing LSTM and fusing articles of law for legal text summarization -- Text Spotting of Electrical Diagram Based on Improved PP-OCRv3 -- Topic-aware Two-layer Context-enhanced Model for Chinese Discourse Parsing -- A Malicious Code Family Classification Method Based on RGB Images and Lightweight Model -- Research on Relation Extraction Based on BERT with Multifaceted Semantics -- NMPose: Leveraging Normal Maps for 6D Pose Estimation -- BFTracker: A One-Shot Baseline Model with Fusion Similarity Algorithm Towards Real-Time Multi-Object Tracking -- Violence-MFAS: Audio-Visual Violence Detection Using Multimodal Fusion Architecture Search -- DeepLink: Triplet Embedding and Spatio-Temporal Dynamics Learning of Link Representations for Travel Time Estimation -- Reversible Data Hiding in Encrypted Images based on Image Reprocessing and Polymorphic Compression -- All You See Is the Tip of the Iceberg: Distilling Latent Interactions Can Help You Find Treasures -- TRFN: Triple-Receptive-Field Network for Regional-Texture and Holistic-Structure Image Inpainting -- PMFNet: A Progressive Multichannel Fusion Network for Multimodal Sentiment Analysis -- Category-wise Meal Recommendation -- A Data-free Substitute Model Training Method for Textual Adversarial Attacks -- Detect Overlapping Community via Graph Neural Network and Topological Potential -- DeFusion: Aerial Image Matching Based on Fusion of Handcrafted and Deep Features -- Unsupervised Fabric Defect Detection Framework based on Knowledge Distillation -- Data Protection and Privacy: Risks and Solutions in The Contentious Era of AI-driven Ad Tech -- Topic Modeling for Short Texts via Adaptive Pólya Urn Dirichlet Multinomial Mixture -- Informative Prompt Learning for Low-shot Commonsense Question Answering via Fine-Grained Redundancy Reduction -- Rethinking unsupervised domain adaptation for nighttime tracking -- A Bi-Directional Optimization Network for De-Obscured 3D High-Fidelity Surface Reconstruction -- Jointly extractive and abstractive training paradigm for text summarization -- A Three-Stage Framework For Event-Event Relation Extraction with Large Language Model -- MEFaceNets: Muti-scale Efficient CNNs for Real-time Face Recognition on Embedded Devices -- Optimal Low-rank QR Decomposition with an Application on RP-TSOD -- EDDVPL: A Web Attribute Extraction Method with Prompt Learning -- CACL:Commonsense-Aware Contrastive Learning for Knowledge Graph Completion -- Graph Attention Hashing via Contrastive Learning for Unsupervised Cross-modal Retrieval -- A Two-Stage Active Learning Algorithm for NLP Based on Feature Mixing -- Botnet Detection Method based on NSA and DRN -- ASRCD: Adaptive Serial Relation-based Model for Cognitive Diagnosis -- PyraBiNet: A Hybrid Semantic Segmentation Network Combining PVT and BiSeNet for deformable objects in indoor environments -- Classification of Hard and Soft Wheat Species using Hyperspectral Imaging and Machine Learning Models -- Mitigation of Voltage Violation for Battery Charging Based on Data-Driven Optimization. . |
| Record Nr. | UNINA-9910766898303321 |
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Luo Biao
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part XIII
| Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part XIII |
| Autore | Luo Biao |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2023 |
| Descrizione fisica | 1 online resource (628 pages) |
| Altri autori (Persone) |
ChengLong
WuZheng-Guang LiHongyi LiChaojie |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 981-9981-78-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part XIII -- Applications -- Improve Conversational Search with Multi-document Information -- 1 Introduction -- 2 Related Works -- 2.1 Conversational Search -- 2.2 LLM for Information Retrieval -- 3 Method -- 3.1 Preliminaries -- 3.2 Multi-document Conversation Segmentation -- 3.3 LLM-Based Document Summarization -- 3.4 Reranker Based on Passage-Segment-Document Post-training -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Performance Comparison -- 4.3 Experimental Results -- 4.4 Ablation Experiment -- 5 Conclusion -- References -- Recurrent Update Representation Based on Multi-head Attention Mechanism for Joint Entity and Relation Extraction -- 1 Introduction -- 2 Related Work -- 3 Task Formulation -- 4 Methodology -- 4.1 Representation Construction -- 4.2 Multi-head Attention Fusion Layer -- 4.3 Relation Extraction -- 5 Experiments -- 5.1 Experiment Settings -- 5.2 Experimental Results -- 5.3 Number of Heads in Multi-head Attention -- 5.4 Layers of Multi-head Attention Fusion Layers -- 6 Conclusion -- References -- Deep Hashing for Multi-label Image Retrieval with Similarity Matrix Optimization of Hash Centers and Anchor Constraint of Center Pairs -- 1 Introduction -- 2 Related Work -- 3 The Proposed Deep Hashing Framework -- 3.1 Similarity Matrix Optimization of Hash Centers -- 3.2 Loss Function of Multi-label Deep Hashing Model -- 4 Experiments -- 4.1 Baselines and Datasets -- 4.2 Experimental Details and Hyperparameter Settings -- 4.3 Evaluation Criteria -- 4.4 Experimental Comparison Results -- 5 Conclusion -- References -- MDAM: Multi-Dimensional Attention Module for Anomalous Sound Detection -- 1 Introduction -- 2 Related Work -- 2.1 Attention Mechanism -- 2.2 Analysis of Temporal and Frequency Dimension Characteristics -- 3 Method -- 3.1 Multi-Dimensional Attention Module.
3.2 Domain Mixture -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Comparison of Different Outlier Detection Algorithms -- 4.3 Pooling Selection -- 4.4 Comparison with Other Attention Modules -- 4.5 Effectiveness of Domain Mixture -- 4.6 Comparison with Other Anomaly Detection Models -- 5 Conclusion -- References -- A Corpus of Quotation Element Annotation for Chinese Novels: Construction, Extraction and Application -- 1 Introduction -- 2 Related Work -- 3 Corpus Construction -- 3.1 Annotation Schema -- 3.2 Corpus Analysis -- 4 Quotation Element Extraction -- 5 Applications of Quotation Elements -- 5.1 Character Recognition Based on Quotation Elements -- 5.2 Gender Classification Based on Quotation Elements -- 6 Conclusion -- References -- Decoupling Style from Contents for Positive Text Reframing -- 1 Introduction -- 2 Related Works -- 2.1 Text Style Transfer -- 2.2 Pre-trained Language Models -- 2.3 Contrastive Learning -- 3 Method -- 3.1 Seq2Seq Text Generation -- 3.2 Decoupling Style from Contents -- 3.3 Preserving Primary Content -- 4 Experiment -- 4.1 Experimental Settings -- 4.2 Results -- 4.3 Ablation Study -- 5 Conclusion -- References -- Multi-level Feature Enhancement Method for Medical Text Detection -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Overall Network Architecture -- 3.2 Efficient Feature Enhancement Module -- 3.3 Multi-scale Feature Fusion Module -- 3.4 Post-processing -- 3.5 Deformable Convolution and Label Generation -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Ablation Study -- 4.4 Comparisons with Previous Methods -- 5 Conclusion -- References -- Neuron Attribution-Based Attacks Fooling Object Detectors -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Problem Setting -- 3.2 Our Approach -- 4 Experiments -- 4.1 Experimental Setting. 4.2 Comparison with Other Methods -- 4.3 Ablation Study -- 5 Conclusion -- References -- DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method Based on Graph Attention Networks -- 1 Introduction -- 2 Related Work -- 3 The Framework -- 3.1 Key Clues Extraction -- 3.2 Clue-Focused Graph Encoder -- 3.3 Clue Encoder -- 3.4 Decoder -- 4 Experimental Setup -- 4.1 Datasets -- 4.2 Baselines -- 4.3 Experimental Settings -- 5 Results and Analysis -- 5.1 Automatic Evaluation -- 5.2 Ablation Study -- 5.3 Human Judgement -- 5.4 The Impact of Article Length -- 6 Discussion and Conclusion -- References -- A Joint Identification Network for Legal Event Detection -- 1 Introduction -- 2 Model Structure -- 2.1 Encoding Module -- 2.2 Initial Scoring Module -- 2.3 Feature Extraction Module -- 2.4 Aggregation Module -- 3 Model Training -- 3.1 Dataset -- 3.2 Revising the Loss Function by Mask -- 3.3 Adversarial Training -- 4 Experiment -- 4.1 Dataset -- 4.2 Baseline -- 4.3 Evaluation Criteria -- 4.4 Setting -- 4.5 Benchmark Experiment -- 4.6 Ablation Experiment -- 4.7 Benchmark with ChatGPT -- 4.8 Competition Results -- 5 Related Works -- 5.1 Generative-Based Approach -- 5.2 Classification-Based Approach -- 5.3 Graph Neural Network-Based Approach -- 5.4 Span-Based Approach -- 6 Conclusion -- References -- YOLO-D: Dual-Branch Infrared Distant Target Detection Based on Multi-level Weighted Feature Fusion -- 1 Introduction -- 2 Method -- 2.1 Model Architecture -- 2.2 Contour Feature Extraction -- 2.3 Multilevel Feature Fusion -- 3 Experiments -- 3.1 Datasets and Evaluation Metrics -- 3.2 Experiment Setup -- 3.3 Experimental Data Results -- 3.4 Experimental Visual Results -- 3.5 Ablation and Validation Experiments -- 4 Conclusion -- References -- Graph Convolutional Network Based Feature Constraints Learning for Cross-Domain Adaptive Recommendation. 1 Introduction -- 2 Related Work -- 2.1 Cross-Domain Recommendation -- 2.2 Domain Adaptation -- 3 Methodology -- 3.1 Problem Formulation -- 3.2 CDAR-FCL Overview -- 3.3 Graph Embedding Layer -- 3.4 Feature Constraint -- 3.5 Feature Combination -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Effect of Hyper-parameter -- 4.3 Comparison -- 4.4 Visualization -- 4.5 Ablation Study -- 5 Conclusion -- References -- A Hybrid Approach Using Convolution and Transformer for Mongolian Ancient Documents Recognition -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approach -- 4 Experimental Results -- 4.1 Dataset and Baseline -- 4.2 Parameter Settings -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Incomplete Multi-view Subspace Clustering Using Non-uniform Hyper-graph for High-Order Information -- 1 Introduction -- 2 Background -- 2.1 Multi-View Subspace Clustering Preliminaries -- 2.2 Tensor Preliminaries -- 2.3 Hypergraph Preliminaries -- 3 The Proposed NUHG-IMSC Method -- 4 Experiment and Results -- 4.1 Data Sets -- 4.2 Methods -- 4.3 Quantified Experimental Results and Variable Visualizations -- 5 Conclusions -- References -- Deep Learning-Empowered Unsupervised Maritime Anomaly Detection -- 1 Introduction -- 2 Related Work -- 2.1 Data-Driven Approaches for Maritime Anomaly Detection -- 2.2 Rule-Based Approaches for Maritime Anomaly Detection -- 2.3 Hybrid Approaches for Maritime Anomaly Detection -- 3 Fast GAN-Based Anomalous Vessel Trajectory Detection -- 3.1 Problem Definition -- 3.2 Generation of Vessel Trajectory Images -- 3.3 Unsupervised Learning of Normal Anatomical Variability -- 3.4 Detection of Anomalous Vessel Trajectory -- 4 Experiments -- 4.1 Data Set and Baselines -- 4.2 Experimental Evaluation -- 5 Conclusions -- References -- Hazardous Driving Scenario Identification with Limited Training Samples -- 1 Introduction. 2 Related Work -- 2.1 Hazardous Driving Scenario Identification -- 2.2 Motion Profile Based Models -- 3 Data Operation -- 3.1 Motion Profile Generation -- 4 Methodology -- 4.1 Data Augmentation -- 4.2 Model Architecture -- 5 Experiments and Results -- 5.1 Experiment Settings -- 5.2 Effect of Data Augmentation -- 5.3 Comparison with Existing Methods -- 5.4 Impact of Mixed Sample Ratio on Model Performance -- 6 Conclusion and Future Work -- References -- Machine Unlearning with Affine Hyperplane Shifting and Maintaining for Image Classification -- 1 Introduction -- 2 Method -- 2.1 Preliminaries -- 2.2 Affine Hyperplane Unlearning -- 2.3 Affine Hyperplane Maintaining -- 3 Experiments -- 3.1 Experimental Settings -- 3.2 Experimental Results -- 3.3 Ablation Study -- 4 Conclusions -- References -- An Interpretable Vulnerability Detection Framework Based on Multi-task Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Overview of Our Detection Model -- 3.2 Encoder: Features Extraction -- 3.3 Objective Task -- 3.4 Training -- 4 Evaluation and Analysis -- 4.1 Dataset -- 4.2 Experimental Results -- 5 Conclusion -- References -- Co-GAN: A Text-to-Image Synthesis Model with Local and Integral Features -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Overview -- 3.2 Local Feature Enhancement Module -- 3.3 Integral Structural Maintenance Module -- 3.4 Loss Function -- 4 Experiments and Discussion -- 4.1 Set up -- 4.2 Experiments and Discussion -- 5 Conclusion -- References -- Graph Contrastive ATtention Network for Rumor Detection -- 1 Introduction -- 2 Preliminary Knowledge -- 3 Graph Attentive Self-supervised Learning Model -- 3.1 Rumor Identification Network -- 3.2 Graph Contrastive Learning Network -- 3.3 Model Fusion -- 4 Experiments -- 4.1 Datasets -- 4.2 Baselines -- 4.3 Experimental Results and Analysis -- 4.4 Early Detection. 4.5 Ablation Study. |
| Record Nr. | UNINA-9910768468503321 |
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Luo Biao
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| Singapore : , : Springer Singapore Pte. Limited, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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