Artificial Neural Networks and Machine Learning - ICANN 2025
34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part III Herausgeber: Senn, Walter; Bengio, Yoshua; Jirsa, Viktor; Villa, Alessandro E. P; Tetko, Igor V.; Saudargiene, Ausra; Sanguineti, Marcello
Artificial Neural Networks and Machine Learning - ICANN 2025
34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part III Herausgeber: Senn, Walter; Bengio, Yoshua; Jirsa, Viktor; Villa, Alessandro E. P; Tetko, Igor V.; Saudargiene, Ausra; Sanguineti, Marcello
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.…mehr
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.
. 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.
. 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.
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