Artificial Neural Networks and Machine Learning – ICANN 2025

34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part III

AvWalter Senn,Marcello Sanguineti

Häftad, Engelska, 2025

Del 16070 i serien Lecture Notes in Computer Science

823 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9–12, 2025.The 170 full papers and 8 abstracts included in these conference proceedings were carefully reviewed and selected from 375 submissions. The conference strongly values the synergy between theoretical progress and impactful real-world applications, and actively encourages contributions that demonstrate how artificial neural networks are being used to address pressing societal and technological challenges.

Produktinformation

Utgivningsdatum:2025-09-10
Mått:155 x 235 x 22 mm
Vikt:604 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:362
Förlag:Springer Nature Switzerland AG
ISBN:9783032045485

Utforska kategorier

Informationsteknik: allmänt inom Data och IT
Tillämpad datateknik inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

.- ACGCN: A Sequence-Attention-Based Graph Convolutional Model for Enhanced Recommendation Systems..- Hyperparameter-Free Bi-Level Knowledge Graph Optimization for Link Prediction..- SWIFT: State-space Wavelet Integrated Forecasting Technology for Enhanced Time Series Prediction..- Federated Privacy-Preserving for Cross-Domain Sequential Recommendation..- An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models..- Multimodal Sentiment Analysis with Parallel Attention and Correlation Fusion..- A Hybrid Learning Approach for Continual Knowledge Graph Embedding: Contrastive Masking and Joint Anti-Forgetting..- Leveraging Machine-Translated Data for Sentiment Analysis in Low-Resource Languages: A Case Study on Bengal..- RRetFC: Leveraging Recursive Retrieval For LLM-Enhanced Complex Fact-Checking..- Feature-Aware Sequence Models for Tabular Data Processing with Missing Values..- Topic-Driven Hyper-Relational Knowledge Graphs with Adaptive Reconstruction for Multi-Hop Question Answering Using LLMs..- Toward Better Document-Level Relation Extraction: De-Sampling and Mixture of Experts in Action..- ConSens: Assessing context grounding in open-book question answering..- ChiMDQA: Towards Comprehensive Chinese Document QA with Fine-grained Evaluation..- Emotional Text-to-Speech via Style Decoder with Emotion Shared Styleformer Block and RoPE Prior Encoder..- Can LLM-Generated Textual Explanations Enhance Model Classification Performance? An Empirical Study..- Early Acoustic and Vision Cross-modal Interation Learning for Multimal Sentiment Analysis..- Uncovering Causal Relation Shifts in Event Sequences under Out-of-Domain Interventions..- Sustainable techniques to improve Data Quality for training image-based explanatory models for Recommender Systems..- TimeFlowDiffuser: A Hierarchical Diffusion Framework with Adaptive Context Sampling for Multi-Horizon Time Series Forecasting..- ConDTab: Conditional Diffusion Transformer for Mixed-Type Tabular Synthesis with Dual Attention Latent Encoding..- SentiAug: Adaptive Keywords Replacement and Confidence-guided Self-training Selection for Robust Sentiment Classification..- Real-time and personalized product recommendations for large e-commerce platforms..- A Two-Stage Framework Integrating Prompt Learning and Fine-tuning for Code Summarization..- DialGACL: Nonlinear Graph Attention Reasoning with Contrastive Learning for Complex Dialogue Fact Verification..- TimbreAdv: Timbre Adversarial Attacks on Speaker Verification Systems..- Time Series Generation for Augmenting Multi-Channel Automotive Audio Data..- PGD: Probe Guided Decoding for Alignment.