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 X /

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 X / 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 and 9 short papers included in these pro...

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Angelov, Plamen, editor
Iliadis, Lazaros, editor / Jayne, Chrisina, editor / Papaleonidas, Antonios, editor
1st edition 2023.
Cham : Springer, 2023
XXXIV, 545 pages 177 illustrations, 163 illustrations in color (online resource)
englisch
9783031442049
10.1007/978-3-031-44204-9
Lecture Notes in Computer Science ; 14263
Application software.
Artificial intelligence.
Computer engineering.
Computer networks .
Computers.



  • A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation
  • A Deep Learning based Method for Generating Holographic Acoustic Fields from Phased Transducer Arrays
  • A Depth-guided Attention Strategy for Crowd Counting
  • A Noise Convolution Network for Tampering Detection
  • Attention-based Feature Interaction Deep Factorization Machine for CTR Prediction
  • Block-level Stiffness Analysis of Residual Networks
  • CKNA: Kernel Hyperparameters Optimization Method for Group-wise CNNs
  • Conditional Convolution Residual Network for Efficient Super-Resolution
  • Cross Attention with Deep Local Features for Few-shot Image Classification
  • Deep Video Compression Based on 3D Convolution Artifacts Removal and Attention Compression Module
  • Deep-learning Based Three Channel Defocused Projection Profilometry
  • Depthwise Convolution with Channel Mixer: Rethinking MLP in MetaFormer for Faster and More Accurate Vehicle Detection
  • DLUIO: Detecting Useful Investor Opinions by Deep Learning
  • Dynamic obstacle avoidance for unmanned aerial vehicle using dynamic vision sensor
  • Empirical Study on the Effect of Residual Networks on the Expressiveness of Linear Regions
  • Energy Complexity Model for Convolutional Neural Networks
  • Enhancing the Interpretability of Deep Multi-Agent Reinforcement Learning via Neural Logic Reasoning
  • Evidential Robust Deep Learning for Noisy Text2text Question Classification
  • FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction
  • Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks
  • Interaction of Generalization and Out-of-Distribution Detection Capabilities in Deep Neural Networks
  • Long-distance Pipeline Intrusion Warning Based on Environment Embedding From Distributed Optical Fiber Sensing
  • LSA3D: Lightweight Separate Asynchronous 3D Convolutional Neural Network for Gait Recognition
  • MADNet: EEG-based Depression Detection using a Deep Convolution Neural Network Framework with Multi-dimensional Attention
  • Maintenance automation using deep learning methods a case study from the aerospace industry
  • MCASleepNet: Multimodal channel attention-based deep neural network for automatic sleep staging
  • Multi-label Image Deep Hashing with Hybrid Loss of Global Center and Local Alignment
  • Multi-relation Representation Learning based Deep Network for Patent Classification
  • One Hip Wonder: 1D-CNNs Reduce Sensor Requirements for Everyday Gait Analysis
  • Patches Channel Attention For Human Sitting Posture Recognition
  • RA-Net: A Deep Learning Approach based on Residual Structure and Attention Mechanism for Image Copy-move Forgery Detection
  • Rethinking CNN Architectures in Transformer Detectors
  • Robustness of Biologically-inspired filter-based ConvNet to Signal Perturbation
  • Self-Supervised Graph Convolution for Video Moment Retrieval
  • Siamese Network based on MLP and Multi-head Cross Attention for Visual Object Tracking
  • Taper Residual Dense Network for Audio Super-Resolution
  • VPNDroid: Malicious Android VPN detection using a CNN-RF method
  • Who breaks early, looses: goal oriented training of deep neural networks based on port Hamiltonian dynamics
  • BLR:A multi-modal sentiment analysis model
  • Detecting Negative Sentiment on Sarcastic Tweets for Sentiment Analysis
  • Local or Global: The Variation in the Encoding of Style Across Sentiment and Formality
  • Prompt-oriented Fine-tuning Dual Bert for Aspect-Based Sentiment Analysis
  • Towards Energy-Efficient Sentiment Classification with Spiking Neural Networks
  • Using Masked Language Modeling to Enhance BERT-based Aspect-Based Sentiment Analysis for Affective Token Prediction.