{"product_id":"intelligent-data-engineering-and-automated-learning-ideal-2024-9783031777301","title":"Intelligent Data Engineering and Automated Learning  IDEAL 2024","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- Quantitative Estimation of Reputation Risk.\u003c\/p\u003e\u003cp\u003e.- Dissecting Data Practices in Android Apps: A Comparative Study of Data Collection and Sharing Behaviors.\u003c\/p\u003e\u003cp\u003e.- Model-Based Meta-Reinforcement Learning for Hyperparameter Optimization.\u003c\/p\u003e\u003cp\u003e.- Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization.\u003c\/p\u003e\u003cp\u003e.- Association Rules Mining with Auto-Encoders.\u003c\/p\u003e\u003cp\u003e.- Using Contrastive Learning to Map Stylistic Similarities in Narrative Writers.\u003c\/p\u003e\u003cp\u003e.- Automatic classification of signal and noise in functional magnetic resonance imaging scans using convolutional neural networks.\u003c\/p\u003e\u003cp\u003e.- How Resilient are Language Models to Text Perturbations?.\u003c\/p\u003e\u003cp\u003e.- Emotional Sequential Influence Modeling on False Information.\u003c\/p\u003e\u003cp\u003e.- CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability.\u003c\/p\u003e\u003cp\u003e.- Padel two-dimensional tracking extraction from monocular video recordings.\u003c\/p\u003e\u003cp\u003e.- Drowsiness Detection Using Vital Sign Sensors and Deep Learning on Smartwatches.\u003c\/p\u003e\u003cp\u003e.- Benchmarking out of the box Open-Source LLMs for Malware Detection based on API Calls sequences.\u003c\/p\u003e\u003cp\u003e.- Multimodal Visio-lingual Content Analysis to Detect Fake Content on Reddit.\u003c\/p\u003e\u003cp\u003e.- MetaLIRS: Meta-learning for Imputation and Regression Selection.\u003c\/p\u003e\u003cp\u003e.- Pipeline for Semantic Segmentation of Large Railway Point Clouds.\u003c\/p\u003e\u003cp\u003e.- Preliminary Investigation on Machine Learning and Deep Learning Models for Change of Direction Classification in Running.\u003c\/p\u003e\u003cp\u003e.- Efficient Radar Scheduling Using Genetic Algorithms and Stochastic Heuristic Initialization.\u003c\/p\u003e\u003cp\u003e.- Towards a Communication Specification Language for Heterogeneous Service Orchestration based on Process Calculus and Holonic Multi-agent Systems.\u003c\/p\u003e\u003cp\u003e.- Counterfactual Explanations for Sustainable Tourism Indicators.\u003c\/p\u003e\u003cp\u003e.- Tracking Healthy Organs in Medical Scans to Improve Cancer Treatment by Using UW-Madison GI Tract Image Segmentation.\u003c\/p\u003e\u003cp\u003e.- Low consumption models for disease diagnosis in isolated farms.\u003c\/p\u003e\u003cp\u003e.- Fast and Scalable Recommendation Retrieval Model with Mixed Attention and Knowledge Distillation.\u003c\/p\u003e\u003cp\u003e.- Federated Learning for Vietnamese SMS Spam Detection using Pre-Trained PhoBERT.\u003c\/p\u003e\u003cp\u003e.- Deep Learning Inference on Edge: A Preliminary Device Comparison.\u003c\/p\u003e\u003cp\u003e.- Causal Explanation of Graph Neural Networks.\u003c\/p\u003e\u003cp\u003e.- The contribution of social sciences driven user studies to the development of human-centered artificial intelligence.\u003c\/p\u003e\u003cp\u003e.- Towards Reliable Drift Detection and Explanation in Text Data.\u003c\/p\u003e\u003cp\u003e.- Using Diffusion Models for Data Augmentation on Limited Rodent OCT Datasets.\u003c\/p\u003e\u003cp\u003e.- Employing Explainable AI techniques for Air Pollution: An ante-hoc and post-hoc approach in dioxide nitrogen forecasting.\u003c\/p\u003e\u003cp\u003e.- Predicting employee attrition in a multi-company setting.\u003c\/p\u003e\u003cp\u003e.- A deep-learning approach for the identification of new subtypes of lung cancer .\u003c\/p\u003e\u003cp\u003e.- Loss Function Role in Processing Sequences with Heavy-Tailed Distributions.\u003c\/p\u003e\u003cp\u003e.- Cooperative-Competitive Decision-Making in Resource Management: A Reinforcement Learning Perspective.\u003c\/p\u003e\u003cp\u003e.- Improving Speech Emotion Recognition: Novel Aggregation Strategies for Self-Supervised Features.\u003c\/p\u003e\u003cp\u003e.- Refining Multiple Instance Learning with Attention Regularization for Whole Slide Image Classification.\u003c\/p\u003e\u003cp\u003e.- Evaluating performance and trustworthiness of RAG systems for generating administrative text.\u003c\/p\u003e\u003cp\u003e.- Blueprint of Tomorrow: Contrasting Off-line and On-line Drawing Tasks for Alzheimer's Disease Screening.\u003c\/p\u003e\u003cp\u003e.- Digital Mental Health Apps: Key Features and User Engagement for Better Wellness.\u003c\/p\u003e\u003cp\u003e.- Automatic PDF Document Classification with Machine Learning.\u003c\/p\u003e\u003cp\u003e.- Contributions on Mixtures of Polynomials for Hybrid Bayesian Networks.\u003c\/p\u003e\u003cp\u003e.- Age-unbiased Facial Emotion Recognition with Regularizing Self-attention Value Vector.\u003c\/p\u003e\u003cp\u003e.- Assessing the Impact of Temporal Data Aggregation on the Reliability of Predictive Machine Learning Models.\u003c\/p\u003e\u003cp\u003e.- Topic modeling in Telegram channels during the Russia-Ukraine conflict.\u003c\/p\u003e\u003cp\u003e.- Structural and Semantic Data Layers in Time Series Analyses.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195426267479,"sku":"9783031777301","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/intelligent-data-engineering-and-automated-learning-ideal-2024-9783031777301","provider":"Book Curl","version":"1.0","type":"link"}