Buch, Englisch, 589 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 914 g
30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part II
Buch, Englisch, 589 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 914 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-99-8081-9
Verlag: Springer Nature Singapore
The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
Weitere Infos & Material
Theory and Algorithms.- Distributed Nash Equilibrium Seeking of Noncooperative Games with Communication Constraints and Matrix Weights.- Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers.- A Framework of Large-Scale Peer-to-Peer Learning System.- Optimizing 3D UAV Path Planning: An Approach Incorporating Multiple Mechanisms and Beluga Whale Optimizer.- Interactive Attention-Based Graph Transformer for Multi-Intersection Traffic Signal Control.- PatchFinger: A Model Fingerprinting Scheme based on Adversarial Patch.- Attribution of Adversarial Attacks via Multi-Task Learning.- A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings.- A Novel Machine Learning Model using CNN-LSTM Parallel Networks for Predicting Ship Fuel Consumption.- Two-Stage Attention Model to Solve Large-Scale Traveling Salesman Problems.- Learning Primitive-aware Discriminative Representations for Few-shot Learning.- Time-Series Forecasting through Contrastive Learning with a Two-Dimensional Self-Attention Mechanism.- Task Scheduling with Multi-strategy Improved Sparrow Search Algorithm in Cloud Datacenters.- Enhanced State-Aware Traffic Light Optimization Control Method.- Impulsive Accelerated Reinforcement Learning for H8 Control.- MRRC: Multi-Agent Reinforcement Learning with Rectification Capability in Cooperative Tasks.- Latent Causal Dynamics Model for Model-based Reinforcement Learning.- Gradient Coupled Flow: Performance Boosting on Network Pruning by Utilizing Implicit Loss Decrease.- Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation.- Dual Channel Graph Neural Network Enhanced by External Affective Knowledge for Aspect Level Sentiment Analysis.- New predefined-time stability theorem and applications to the fuzzy stochastic memristive neural networks with impulsive effects.- Removing Double Descent with Data-dependent Regularization under Non-Asymptotic View.- FE-YOLOv5:Improved YOLOv5 Network for Multi-scale Drone-captured Scene Detection.- An Improved NSGA-II for UAV Path Planning.- Reimagining China-US Relations Prediction: A Multi-Modal, Knowledge-Driven Approach with KDSCINet.- A Graph Convolution Neural Network for User-group Aided Personalized Session-based Recommendation.- Disentangling Node Metric Factors For Temporal Link Prediction.- Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning.- SLAM: A Lightweight Spatial Location Attention Module for Object Detection.- A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-level Sentiment Analysis.- Efficient Collaboration via Interaction Information in Multi-Agent System.- A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance.- Few-shot Anomaly Detection in Text with Deviation Learning.- MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions.- Two-Phase Semantic Retrieval For Explainable Multi-Hop Question Answering.- Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds.- Towards Scalable Feature Selection: An Evolutionary Multitask Algorithm Assisted by Transfer Learning Based Co-surrogate.- CAS-NN: a robust cascade neural network without compromising clean accuracy.- Multi-Scale Information Fusion Combined with Residual Attention for Text Detection.- Encrypted-SNN: A Privacy-Preserving Method for converting Artificial Neural Networks to Spiking Neural Networks.- PoShapley-BCFL: A fair and robust decentralized federated learning based on blockchain and the proof of Shapley-value.- Small-World Echo State Networks for Nonlinear Time-Series Prediction.- Preserving Potential Neighbors for Low-Degree Nodes via Reweighting in Link Prediction.- 6D Object Pose Estimation with Attention Aware Bi-Gated Fusion.
