Artificial Neural Networks and Machine Learning - ICANN 2023 [E-Book] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VI /

Artificial Neural Networks and Machine Learning - ICANN 2023 [E-Book] : 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VI / edited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne.

The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26-29, 2023. The 426 full papers, 9 short papers and 9 abstract papers in...

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Angelov, Plamen, editor
Iliadis, Lazaros, editor / Jayne, Chrisina, editor / Papaleonidas, Antonios, editor
1st edition 2023.
Cham : Springer, 2023
XXXV, 591 pages 196 illustrations, 182 illustrations in color (online resource)
englisch
9783031442230
10.1007/978-3-031-44223-0
Lecture Notes in Computer Science ; 14259
Application software.
Artificial intelligence.
Computer engineering.
Computer networks .
Computers.



  • A Further Exploration of Deep Multi-Agent Reinforcement Learning with Hybrid Action Space
  • Air-to-Ground Active Object Tracking via Reinforcement Learning
  • Enhancing P300 Detection in Brain-Computer Interfaces with Interpretable Post-Processing of Recurrent Neural Networks
  • Group-Agent Reinforcement Learning
  • Improving Generalization of Multi-agent Reinforcement Learning through Domain-Invariant Feature Extraction
  • Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning
  • LIIVSR: A Unidirectional Recurrent Video Super-Resolution Framework with Gaussian Detail Enhancement and Local Information Interaction Modules
  • Masked Scale-Recurrent Network for Incomplete Blurred Image Restoration
  • Multi-fusion Recurrent Network for Argument Pair Extraction
  • Pacesetter Learning For Large Scale Cooperative Multi-Agent Reinforcement Learning
  • Stable Learning Algorithm Using Reducibility for Recurrent Neural Networks
  • t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks
  • Adaptive Reservoir Neural Gas: An Effective Clustering Algorithm for Addressing Concept Drift in Real-Time Data Streams
  • An Intelligent Dynamic Selection System Based on Nearest Temporal Windows for Time Series Forecasting
  • Generating Sparse Counterfactual Explanations For Multivariate Time Series
  • Graph Neural Network-Based Representation Learning for Medical Time Series
  • Knowledge Forcing: Fusing Knowledge-Driven Approaches with LSTM for Time Series Forecasting
  • MAGNet: Muti-scale Attention and Evolutionary Graph Structure for Long Sequence Time-Series Forecasting
  • MIPCE: Generating Multiple Patches Counterfactual-changing Explanations for Time Series Classification
  • Multi-Timestep-Ahead Prediction with Mixture of Experts for Embodied Question Answering
  • Rethink the Top-u Attention in Sparse Self-attention for Long Sequence Time-Series Forecasting
  • Temporal Attention Signatures for Interpretable Time-Series Prediction
  • Time-Series Prediction of Calcium Carbonate Concentration in Flue Gas Desulfurization Equipment by Optimized Echo State Network
  • WAG-NAT: Window Attention and Generator Based Non-Autoregressive Transformer for Time Series Forecasting
  • A Novel Encoder and Label Assignment for Instance Segmentation
  • A Transformer-based Framework for Biomedical Information Retrieval Systems
  • A Transformer-Based Method for UAV-View Geo-Localization
  • Cross-graph Transformer Network for Temporal Sentence Grounding
  • EGCN: A Node Classification Model based on Transformer and Spatial Feature Attention GCN for Dynamic Graph
  • Enhance Representational Differentiation Step By Step: A Two-Stage Encoder-Decoder Network for Implicit Discourse Relation Classification
  • GenTC: Generative Transformer via Contrastive Learning for Receipt Information Extraction
  • Hierarchical Classification for Symmetrized VI Trajectory Based on Lightweight Swin Transformer
  • Hierarchical Vision and Language Transformer for Efficient Visual Dialog
  • ICDT: Maintaining Interaction Consistency for Deformable Transformer with Multi-scale Features in HOI Detection
  • Imbalanced Conditional Conv-Transformer For Mathematical Expression Recognition
  • Knowledge Graph Transformer for Sequential Recommendation
  • LorenTzE: Temporal Knowledge Graph Embedding based on Lorentz Transformation
  • MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion
  • NeuralODE-based Latent Trajectories into AutoEncoder Architecture for Surrogate Modelling of Parametrized High-dimensional Dynamical Systems
  • RRecT: Chinese Text Recognition with Radical-enhanced Recognition Transformer
  • S2R: Exploring a Double-Win Transformer-Based Framework for Ideal and Blind Super-Resolution
  • Self-adapted Positional Encoding in the Transformer Encoder for Named Entity Recognition
  • SHGAE: Social Hypergraph AutoEncoder for Friendship Inference
  • Temporal Deformable Transformer For Action Localization
  • Trans-Cycle: Unpaired Image-to-Image Translation Network by Transformer.