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The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10-13, 2025. The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models. …mehr
The two-volume set LNAI 15875 + 15876 constitutes the proceedings of the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025 Special Session, held in Sydney, NSW, Australia, during June 10-13, 2025.
The 68 full papers included in this set were carefully reviewed and selected from 696 submissions. They were organized in topical sections as follows: survey track; machine learning; trustworthiness; learning on complex data; graph mining; machine learning applications; representation learning; scientific/business data analysis; and special track on large language models.
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Inhaltsangabe
.- Survey Track. .- Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions. .- A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping. .- A Survey of Foundation Models for Environmental Science. .- A Survey on Efficient Graph Reachability Queries. .- Machine Learning. .- Disentangled Representation Learning for Geospatial-temporal Data Modeling. .- Treatment Effect Estimation for Graph-Structured Targets. .- Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies. .- The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions. .- Fed-ARIMA-OPARBFN: An Ensemble Model for Cross-Domain Crop Yield Time Series Prediction Based on Federated Learning. .- S-CPD: Topological Smoothing-Based Change Point Detection. .- VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces. .- Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning. .- PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting. .- Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers. .- CNO-former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation. .- Multilingual Non-Factoid Question Answering with Answer Paragraph Selection .- Turning Uncertainty to Information by Intervals in Ensemble Classifiers. .- Determining the Need for Multi-Label Classifiers by Measuring Unexplained Covariance. .- Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. .- Trustworthiness. .- Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders. .- Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection. .- Defence Against Multi-target Multi-trigger Backdoor Attack. .- How to Backdoor Consistency Models?. .- Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering. .- FACROC: A Fairness Measure for Fair Clustering Through ROC Curves. .- Learning on Complex Data. .- Action Sequence Analysis Using Temporal Commonsense Knowledge. .- Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. .- CANTER: A Novel Causal Model for Tourism Demand Forecasting. .- Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion. .- Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series. .- Hunting Inside N-Quantiles of Outliers (Hino). .- Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions. .- ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. .- Offline Map Matching Based on Localization Error Distribution Modeling.
.- Survey Track. .- Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions. .- A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping. .- A Survey of Foundation Models for Environmental Science. .- A Survey on Efficient Graph Reachability Queries. .- Machine Learning. .- Disentangled Representation Learning for Geospatial-temporal Data Modeling. .- Treatment Effect Estimation for Graph-Structured Targets. .- Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies. .- The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions. .- Fed-ARIMA-OPARBFN: An Ensemble Model for Cross-Domain Crop Yield Time Series Prediction Based on Federated Learning. .- S-CPD: Topological Smoothing-Based Change Point Detection. .- VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces. .- Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning. .- PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting. .- Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers. .- CNO-former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation. .- Multilingual Non-Factoid Question Answering with Answer Paragraph Selection .- Turning Uncertainty to Information by Intervals in Ensemble Classifiers. .- Determining the Need for Multi-Label Classifiers by Measuring Unexplained Covariance. .- Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. .- Trustworthiness. .- Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders. .- Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection. .- Defence Against Multi-target Multi-trigger Backdoor Attack. .- How to Backdoor Consistency Models?. .- Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering. .- FACROC: A Fairness Measure for Fair Clustering Through ROC Curves. .- Learning on Complex Data. .- Action Sequence Analysis Using Temporal Commonsense Knowledge. .- Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. .- CANTER: A Novel Causal Model for Tourism Demand Forecasting. .- Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion. .- Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series. .- Hunting Inside N-Quantiles of Outliers (Hino). .- Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions. .- ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton. .- Offline Map Matching Based on Localization Error Distribution Modeling.
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