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 I /

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 I / 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, 593 pages 196 illustrations, 172 illustrations in color (online resource)
englisch
9783031442070
10.1007/978-3-031-44207-0
Lecture Notes in Computer Science ; 14254
Application software.
Artificial intelligence.
Computer engineering.
Computer networks .
Computers.



  • A classification performance evaluation measure considering data separability
  • A Cross-Modal View to Utilize Label Semantics for Enhancing Student Network in Multi-Label Classification
  • A Hybrid Model Based on Samples Difficulty for Imbalanced Data Classification
  • A New Dataset for Hair Follicle Recognition and Classification in Robot-Aided Hair Transplantation
  • A Policy for Early Sequence Classification
  • A Study of Data-driven Methods for Adaptive Forecasting of COVID-19 Cases
  • An Ensemble Scheme Based on the Optimization of TOPSIS and AdaBoost for In-class Teaching Quality Evaluation
  • Architecturing Binarized Neural Networks for Traffic Sign Recognition
  • Boosting Few-Shot Classification with Lie Group Contrastive Learning
  • Context Enhancement Methodology for action recognition in still images
  • Discrete Denoising Diffusion Approach to Integer Factorization
  • Distinguishing the correctness of knowledge makes knowledge transfer better
  • Diversified Contrastive Learning For Few-Shot Classification
  • Enhancing Cross-lingual Few-shot Named Entity Recognition by Prompt-guiding
  • FAIR: A Causal Framework for Accurately Inferring Judgments Reversals
  • FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification
  • FFTRL: A Sparse Online Kernel Classification Algorithm for Large Scale Data
  • Fusing Hand and Body Skeletons for Human Action Recognition in Assembly
  • Gaze Behavior Patterns for Early Drowsiness Detection
  • GH-QFL: Enhancing Industrial Defect Detection through Hard Example Mining
  • HaarStyle:Revision Style Transfer Based on Multiple Resolutions
  • Semi-Supervised Learning Classifier for Misinformation Related to Earthquakes Prediction on Social Media
  • SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification
  • Sparse Block DETR: Precise and Speedy End-to-End Detector for PCB Defect Detection
  • SWP:A Sliding Window Prompt for Emotion Recognition in Conversation
  • VDCNet: A Vulnerability Detection and Classification System in Cross-Project Scenarios
  • CFNet: Point Cloud Upsampling via Cascaded Feedback Network
  • DA-TSD: Double Attention Two-Stage 3D Object Detector from Point Clouds
  • Enhanced Point Cloud Interpretation via Style Fusion and Contrastive Learning in Advanced 3D Data Analysis
  • PoinLin-Net: Point Cloud Completion Network Based on Geometric Feature Extraction and Linformer Structure
  • Accurate detection of spiking motifs in multi-unit raster plots
  • Context-dependent computations in spiking neural networks with apical modulation
  • QMTS: Fixed-point quantization for multiple-timescale spiking neural networks
  • Self-Organizing Temporally Coded Representation Learning
  • A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot
  • Clarifying the Half Full or Half Empty Question: Multimodal Container Classification
  • CycleIK: Neuro-inspired Inverse Kinematics
  • Robot at the mirror: learning to imitate via associating self-supervised models
  • Approximation of Binary-Valued Functions by Networks of Finite VC Dimension
  • Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures
  • Improving Neural Network Verification Efficiency through Perturbation Refinement
  • Relative intrinsic dimensionality is intrinsic to learning
  • The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
  • Componentwise Adversarial Attacks
  • Decorelated Weight Initialization by Backpropagation
  • Exploring individuality in human EEG using reservoir computing
  • Learning efficient backprojections across cortical hierarchies in real time
  • Neural self-organization for muscle-driven robots
  • Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization
  • Reinforcement Learning with Memory based Automatic Chunking for Complex Skill Acquisition
  • Retinotopy improves the categorisation and localisation of visual objects in CNNs
  • Safe Reinforcement Learning in a Simulated Robotic Arm.