LEADER 06855nam 22006735 450 001 996550553203316 005 20230921063707.0 010 $a3-031-44213-X 024 7 $a10.1007/978-3-031-44213-1 035 $a(MiAaPQ)EBC30751491 035 $a(Au-PeEL)EBL30751491 035 $a(DE-He213)978-3-031-44213-1 035 $a(PPN)272734705 035 $a(EXLCZ)9928275767600041 100 $a20230921d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Neural Networks and Machine Learning ? ICANN 2023$b[electronic resource] $e32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26?29, 2023, Proceedings, Part III /$fedited by Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (624 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v14256 311 08$aPrint version: Iliadis, Lazaros Artificial Neural Networks and Machine Learning - ICANN 2023 Cham : Springer,c2023 9783031442124 327 $aAnomaly 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. 330 $aThe 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26?29, 2023. The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications. . 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v14256 606 $aArtificial intelligence 606 $aApplication software 606 $aComputers 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aComputing Milieux 606 $aComputer Engineering and Networks 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aComputers. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aComputing Milieux. 615 24$aComputer Engineering and Networks. 676 $a006.3 700 $aIliadis$b Lazaros$0871694 701 $aPapaleonidas$b Antonios$01429354 701 $aAngelov$b Plamen$0845344 701 $aJayne$b Chrisina$01380245 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996550553203316 996 $aArtificial Neural Networks and Machine Learning ? ICANN 2023$93568329 997 $aUNISA