Description

Book Synopsis

.- 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.

Data Science Foundations and Applications

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    Order before 4pm tomorrow for delivery by Tue 16 Jun 2026.

    A Paperback by Xintao Wu

    15 in stock


      View other formats and editions of Data Science Foundations and Applications by Xintao Wu

      Publisher: Springer
      Publication Date: 30/07/2025
      ISBN13: 9789819682942, 978-9819682942
      ISBN10:
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis

      .- 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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