Produktbild: Data Science: Foundations and Applications
Band 15875

Data Science: Foundations and Applications 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.06.2025

Abbildungen

XXX, 473 p. 141 illus., 118 illus. in color.

Herausgeber

Xintao Wu + weitere

Verlag

Springer Singapore

Seitenzahl

473

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

756 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9682-94-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.06.2025

Abbildungen

XXX, 473 p. 141 illus., 118 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

473

Maße (L/B/H)

23,5/15,5/2,8 cm

Gewicht

756 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9682-94-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Data Science: Foundations and Applications

  • .- Survey Track.



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    .- 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.



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