Artificial Neural Networks and Machine Learning ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 2629, 2023, Proceedings, Part VI 1st ed. 2023 [Mīkstie vāki]

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.