Artificial Neural Networks and Machine Learning – ICANN 2025

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

Häftad, Engelska, 2025

Av Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, Yoshua Bengio

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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

Utgivningsdatum2025-09-10
Mått155 x 235 x 22 mm
Vikt604 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor362
FörlagSpringer Nature Switzerland AG
ISBN9783032045485

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.- 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.