{"product_id":"data-science-foundations-and-applications-9789819682942","title":"Data Science Foundations and Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- Survey Track.\u003cbr\u003e.- Large Language Models for Cybersecurity Education: A Survey of Current Practices and Future Directions.\u003cbr\u003e.- A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping.\u003cbr\u003e.- A Survey of Foundation Models for Environmental Science.\u003cbr\u003e.- A Survey on Efficient Graph Reachability Queries.\u003cbr\u003e.- Machine Learning.\u003cbr\u003e.- Disentangled Representation Learning for Geospatial-temporal Data Modeling.\u003cbr\u003e.- Treatment Effect Estimation for Graph-Structured Targets.\u003cbr\u003e.- Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies.\u003cbr\u003e.- The Brownian Integral Kernel: A New Kernel for Modeling Integrated Brownian Motions.\u003cbr\u003e.- Fed-ARIMA-OPARBFN: An Ensemble Model for Cross-Domain Crop Yield Time Series Prediction Based on Federated Learning.\u003cbr\u003e.- S-CPD: Topological Smoothing-Based Change Point Detection.\u003cbr\u003e.- VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces.\u003cbr\u003e.- Disentangled Mode-Specific Representations for Tensor Time Series via Contrastive Learning.\u003cbr\u003e.- PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting.\u003cbr\u003e.- Advancing Long-Term High-Frequency Dissolved Oxygen Forecasting for Australian Rivers.\u003cbr\u003e.- CNO-former: Chaotic Neural Oscillatory Transformer for Social Media Text Generation.\u003cbr\u003e.- Multilingual Non-Factoid Question Answering with Answer Paragraph Selection\u003cbr\u003e.- Turning Uncertainty to Information by Intervals in Ensemble Classifiers.\u003cbr\u003e.- Determining the Need for Multi-Label Classifiers by Measuring Unexplained Covariance.\u003cbr\u003e.- Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics.\u003cbr\u003e.- Trustworthiness.\u003cbr\u003e.- Inversion Triplet - A Contrastive Backdoor Mitigation Method for Self-Supervised Vision Encoders.\u003cbr\u003e.- Beyond Uniformity: Robust Backdoor Attacks on Deep Neural Networks with Trigger Selection.\u003cbr\u003e.- Defence Against Multi-target Multi-trigger Backdoor Attack.\u003cbr\u003e.- How to Backdoor Consistency Models?.\u003cbr\u003e.- Multi-granularity Policy Explanation of Deep Reinforcement Learning Based on Saliency Map Clustering.\u003cbr\u003e.- FACROC: A Fairness Measure for Fair Clustering Through ROC Curves.\u003cbr\u003e.- Learning on Complex Data.\u003cbr\u003e.- Action Sequence Analysis Using Temporal Commonsense Knowledge.\u003cbr\u003e.- Foundation Model for Lossy Compression of Spatiotemporal Scientific Data.\u003cbr\u003e.- CANTER: A Novel Causal Model for Tourism Demand Forecasting.\u003cbr\u003e.- Time-Aware Complex Attention Space for Temporal Knowledge Graph Completion.\u003cbr\u003e.- Adaptive Extraction of Variable-Length Subsequence Patterns in Noisy Time Series.\u003cbr\u003e.- Hunting Inside N-Quantiles of Outliers (Hino).\u003cbr\u003e.- Fast Approximation Algorithm for Euclidean Minimum Spanning Tree Building in High Dimensions.\u003cbr\u003e.- ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton.\u003cbr\u003e.- Offline Map Matching Based on Localization Error Distribution Modeling.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212888269143,"sku":"9789819682942","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/data-science-foundations-and-applications-9789819682942","provider":"Book Curl","version":"1.0","type":"link"}