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 III / 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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Full text |
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Personal Name(s): | Angelov, Plamen, editor |
Iliadis, Lazaros, editor / Jayne, Chrisina, editor / Papaleonidas, Antonios, editor | |
Edition: |
1st edition 2023. |
Imprint: |
Cham :
Springer,
2023
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Physical Description: |
XXXV, 593 pages 187 illustrations, 178 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783031442131 |
DOI: |
10.1007/978-3-031-44213-1 |
Series Title: |
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Lecture Notes in Computer Science ;
14256 |
Subject (LOC): |
- Anomaly Detection in Directed Dynamic Graphs via RDGCN and LSTAN
- Anomaly-Based Insider Threat Detection via Hierarchical Information Fusion
- CSEDesc: CyberSecurity Event Detection with Event Description
- GanNeXt: A New Convolutional GAN for Anomaly Detection
- K-Fold Cross-Valuation for Machine Learning Using Shapley Value
- Malicious Domain Detection Based on Self-supervised HGNNs with Contrastive Learning
- Time Series Anomaly Detection with Reconstruction-Based State-Space Models
- ReDualSVG: Refined Scalable Vector Graphics Generation
- Rethinking Feature Context in Learning Image-guided Depth Completion
- Semantic and Frequency Representation Mining for Face Manipulation Detection
- Single image dehazing network based on serial feature attention
- SS-Net: 3D Spatial-Spectral Network for Cerebrovascular Segmentation in TOF-MRA
- STAN: Spatio-Temporal Alignment Network for No-Reference Video Quality Assessment
- Style Expansion without Forgetting for Handwritten Character Recognition
- TransVQ-VAE: Generating Diverse Images using Hierarchical Representation Learning
- UG-Net: Unsupervised-Guided Network for Biomedical Image Segmentation and Classification
- Unsupervised Shape Enhancement and Factorization Machine Network for 3D Face Reconstruction
- Visible-Infrared Person Re-Identification via Modality Augmentation and Center Constraints
- Water Conservancy Remote Sensing Image Classification Based on Target-Scene Deep Semantic Enhancement
- A Partitioned Detection Architecture for Oriented Objects
- A Personalized Federated Multi-Task Learning Scheme for Encrypted Traffic Classification
- Addressing delays in Reinforcement Learning via Delayed Adversarial Imitation Learning
- An Evaluation of Self-Supervised Learning for Portfolio Diversification
- An exploitation-enhanced Bayesian optimization algorithm for high-dimensional expensive problems
- Balancing Selection and Diversity in Ensemble Learning with Exponential Mixture Model
- CIPER: Combining Invariant and Equivariant Representations Using Contrastive and Predictive Learning
- Contrastive Learning and the Emergence of Attributes Associations
- Contrastive Learning for Sleep Staging based on Inter Subject Correlation
- Diffusion Policies as Multi-Agent Reinforcement Learning Strategies
- Dynamic Memory-based Continual Learning with Generating and Screening
- Enhancing Text2SQL Generation with Syntactic Infor-mation and Multi-Task Learning
- Fast Generalizable Novel View Synthesis with Uncertainty-Aware Sampling
- Find Important Training Dataset by Observing the Training Sequence Similarity
- Generating Question-Answer Pairs for Few-shot Learning
- GFedKRL: Graph Federated Knowledge Re-Learning for Effective Molecular Property Prediction via Privacy Protection
- Gradient-Boosted Based Structured and Unstructured Learning
- Graph Federated Learning Based on the Decentralized Framework
- Heterogeneous Federated Learning Based on Graph Hypernetwork
- Learning to Resolve Conflicts in Multi-Task Learning
- Neighborhood-oriented Decentralized Learning Communication in Multi-Agent System
- NN-Denoising: A Low-Noise Distantly Supervised Document-Level Relation Extraction Scheme using Natural Language Inference and Negative Sampling
- pFedLHNs: Personalized Federated Learning via Local Hypernetworks
- Prototype Contrastive Learning for Personalized Federated Learning
- PTSTEP: Prompt Tuning for Semantic Typing of Event Processes
- SR-IDS: A Novel Network Intrusion Detection System Based on Self-taught Learning and Representation Learning
- Task-Aware Adversarial Feature Perturbation for Cross-Domain Few-Shot Learning
- Ternary Data, Triangle Decoding, Three Tasks, a Multitask Learning Speech Translation Model.