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  • Produktbild: PRICAI 2022: Trends in Artificial Intelligence
  • Produktbild: PRICAI 2022: Trends in Artificial Intelligence
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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

Aus der Reihe Lecture Notes in Computer Science
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85,99 € UVP 98,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.11.2022

Herausgeber

Sankalp Khanna + weitere

Verlag

Springer

Seitenzahl

592

Maße (L/B/H)

23,5/15,5/3,4 cm

Gewicht

931 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-20861-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

04.11.2022

Herausgeber

Verlag

Springer

Seitenzahl

592

Maße (L/B/H)

23,5/15,5/3,4 cm

Gewicht

931 g

Auflage

1st edition 2022

Sprache

Englisch

ISBN

978-3-031-20861-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: PRICAI 2022: Trends in Artificial Intelligence
  • Produktbild: PRICAI 2022: Trends in Artificial Intelligence
  • 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.