PRICAI 2022: Trends in Artificial Intelligence
portes grátis
PRICAI 2022: Trends in Artificial Intelligence
19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I
Xu, Guandong; Cao, Jian; Khanna, Sankalp; Bai, Quan
Springer International Publishing AG
11/2022
592
Mole
Inglês
9783031208614
15 a 20 dias
943
Descrição não disponível.
?AI Foundations/Decision Theory.- Fair Allocation with Special Externalities.- Robust Weighted Partial Maximum Satisfiability Problem : Challenge to Sigma2P-Complete Problem.- Epistemic Logic via Distance and Similarity.- Abstract Argumentation Goes Quantum: An Encoding to QUBO Problems.- Diversification of Parallel Search of Portfolio SAT solver by Search Similarity Index.- Dagster: Parallel Structured Search with Case Studies.- Faster Optimistic Online Mirror Descent for Extensive-form Games.- Generalized 3-Valued Belief States in Conformant Planning.- Clustering-Based Network Inference with Submodular Maximization.- Applications of AI.- A LiDAR based Control Solution to Achieve High Precision in Autonomous Parking.- Multi-View Heterogeneous Temporal Graph Neural Network for "Click Farming" Detection.- Deep forest with sparse topological feature extraction and hash mapping for brain network classification.- COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network.- VMEKNet: Visual Memory and External Knowledge Based Network for Medical Report Generation.- Detecting Video Anomalous Events with an Enhanced Abnormality Score.- Frequency Domain Based Learning with Transformer for Underwater Image Restoration.- MMISeg: A Semi-Supervised Segmentation Method Based on Mixup and Mutual Information for Cardiac MRI Segmentation.- Dual-Stream Feature Fusion Network for Detection and ReID in Multi-Object Tracking.- A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning.- A Robust Lightweight Deepfake Detection Network using Transformers.- A General Personality Analysis Model Based on Social Posts and Links.- Deception Detection Towards Multi-turn Question Answering with Context Selector Network.- A Unet with Sequence Information for Gastrointestinal Tract Segmentation.- Co-contrastive self-supervised learning for drug-disease association prediction.- Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with Self-Attention based Full Semantic Information Mining.- Data Mining and Knowledge Discovery.- APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing.- Features Fusion Framework for Multimodal Irregular Time-series Events.- A Multi-output Integration Residual Network for Predicting Time Series Data with Diverse Scales.- Time-series Prediction Improvement by Adaptive Decomposition.- Attention-based Memory-Enhanced Knowledge Tracing.- Dual-VIE: Dual-Level Graph Attention Network for Visual Information Extraction.- Temporal Edge-Aware Hypergraph Convolutional Network for Dynamic Graph Embedding.- Performance Improvement Validation of Decision Tree Algorithms with Non-normalized Information Distance in Experiments.- The Time-sequence Prediction via Temporal and ContextualContrastive Representation Learning.- Managing dataset shift by adversarial validation for credit scoring.- Linking Check-in Data to Users on Location-aware Social Networks.- Robust Subspace Clustering Based on Latent Low-rank Representation with Weighted Schatten-p Norm Minimization.- Evolutionary Computation/Optimisation.- Speeding up Genetic Programming Based Symbolic Regression Using GPUs.- High-Dimensional Discrete Bayesian Optimization with Intrinsic Dimension.- Multi-Objective Evolutionary Instance Selection for Multi-Label Classification.- An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem.- Evolutionary Automated Feature Engineering.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;computer hardware;computer networks;computer vision;data mining;databases;education;engineering;image analysis;image processing;image segmentation;information retrieval;learning;machine learning;network protocols;pattern recognition;signal processing
?AI Foundations/Decision Theory.- Fair Allocation with Special Externalities.- Robust Weighted Partial Maximum Satisfiability Problem : Challenge to Sigma2P-Complete Problem.- Epistemic Logic via Distance and Similarity.- Abstract Argumentation Goes Quantum: An Encoding to QUBO Problems.- Diversification of Parallel Search of Portfolio SAT solver by Search Similarity Index.- Dagster: Parallel Structured Search with Case Studies.- Faster Optimistic Online Mirror Descent for Extensive-form Games.- Generalized 3-Valued Belief States in Conformant Planning.- Clustering-Based Network Inference with Submodular Maximization.- Applications of AI.- A LiDAR based Control Solution to Achieve High Precision in Autonomous Parking.- Multi-View Heterogeneous Temporal Graph Neural Network for "Click Farming" Detection.- Deep forest with sparse topological feature extraction and hash mapping for brain network classification.- COVID-19 Forecasting Based on Local Mean Decomposition and Temporal Convolutional Network.- VMEKNet: Visual Memory and External Knowledge Based Network for Medical Report Generation.- Detecting Video Anomalous Events with an Enhanced Abnormality Score.- Frequency Domain Based Learning with Transformer for Underwater Image Restoration.- MMISeg: A Semi-Supervised Segmentation Method Based on Mixup and Mutual Information for Cardiac MRI Segmentation.- Dual-Stream Feature Fusion Network for Detection and ReID in Multi-Object Tracking.- A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning.- A Robust Lightweight Deepfake Detection Network using Transformers.- A General Personality Analysis Model Based on Social Posts and Links.- Deception Detection Towards Multi-turn Question Answering with Context Selector Network.- A Unet with Sequence Information for Gastrointestinal Tract Segmentation.- Co-contrastive self-supervised learning for drug-disease association prediction.- Obj-SA-GAN: Object-Driven Text-to-Image Synthesis with Self-Attention based Full Semantic Information Mining.- Data Mining and Knowledge Discovery.- APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing.- Features Fusion Framework for Multimodal Irregular Time-series Events.- A Multi-output Integration Residual Network for Predicting Time Series Data with Diverse Scales.- Time-series Prediction Improvement by Adaptive Decomposition.- Attention-based Memory-Enhanced Knowledge Tracing.- Dual-VIE: Dual-Level Graph Attention Network for Visual Information Extraction.- Temporal Edge-Aware Hypergraph Convolutional Network for Dynamic Graph Embedding.- Performance Improvement Validation of Decision Tree Algorithms with Non-normalized Information Distance in Experiments.- The Time-sequence Prediction via Temporal and ContextualContrastive Representation Learning.- Managing dataset shift by adversarial validation for credit scoring.- Linking Check-in Data to Users on Location-aware Social Networks.- Robust Subspace Clustering Based on Latent Low-rank Representation with Weighted Schatten-p Norm Minimization.- Evolutionary Computation/Optimisation.- Speeding up Genetic Programming Based Symbolic Regression Using GPUs.- High-Dimensional Discrete Bayesian Optimization with Intrinsic Dimension.- Multi-Objective Evolutionary Instance Selection for Multi-Label Classification.- An Investigation of Adaptive Operator Selection in Solving Complex Vehicle Routing Problem.- Evolutionary Automated Feature Engineering.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
