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Machine Learning, Optimization, and Data Science

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Cover of 'Machine Learning, Optimization, and Data Science'

Table of Contents

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    Book Overview
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    Chapter 1 Detection of Morality in Tweets Based on the Moral Foundation Theory
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    Chapter 2 Matrix Completion for the Prediction of Yearly Country and Industry-Level CO $$_2$$ 2 Emissions
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    Chapter 3 A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0
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    Chapter 4 A Matrix Factorization-Based Drug-Virus Link Prediction Method for SARS-CoV-2 Drug Prioritization
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    Chapter 5 Hyperbolic Graph Codebooks
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    Chapter 6 A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages
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    Chapter 7 Loss Function with Memory for Trustworthiness Threshold Learning: Case of Face and Facial Expression Recognition
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    Chapter 8 Machine Learning Approaches for Predicting Crystal Systems: A Brief Review and a Case Study
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    Chapter 9 LS-PON: A Prediction-Based Local Search for Neural Architecture Search
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    Chapter 10 Local Optimisation of Nyström Samples Through Stochastic Gradient Descent
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    Chapter 11 Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting
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    Chapter 12 Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms
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    Chapter 13 Batch Bayesian Quadrature with Batch Updating Using Future Uncertainty Sampling
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    Chapter 14 Sensitivity Analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion
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    Chapter 15 Transformers for COVID-19 Misinformation Detection on Twitter: A South African Case Study
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    Chapter 16 MI2AMI: Missing Data Imputation Using Mixed Deep Gaussian Mixture Models
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    Chapter 17 On the Utility and Protection of Optimization with Differential Privacy and Classic Regularization Techniques
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    Chapter 18 MicroRacer: A Didactic Environment for Deep Reinforcement Learning
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    Chapter 19 A Practical Approach for Vehicle Speed Estimation in Smart Cities
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    Chapter 20 Corporate Network Analysis Based on Graph Learning
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    Chapter 21 Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-linear Bayesian Regression Approach
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    Chapter 22 Analysis of Heavy Vehicles Rollover with Artificial Intelligence Techniques
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    Chapter 23 Hyperparameter Tuning of Random Forests Using Radial Basis Function Models
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    Chapter 24 TREAT: Automated Construction and Maintenance of Probabilistic Knowledge Bases from Logs (Extended Abstract)
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    Chapter 25 Sample-Based Rule Extraction for Explainable Reinforcement Learning
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    Chapter 26 ABC in Root Cause Analysis: Discovering Missing Information and Repairing System Failures
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    Chapter 27 Forecasting Daily Cash Flows in a Company - Shortcoming in the Research Field and Solution Exploration
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    Chapter 28 Neural Network Based Drift Detection
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    Chapter 29 Aspects and Views on Responsible Artificial Intelligence
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    Chapter 30 A Real-Time Semantic Anomaly Labeler Capturing Local Data Stream Features to Distinguish Anomaly Types in Production
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    Chapter 31 Generalising via Meta-examples for Continual Learning in the Wild
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    Chapter 32 Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports
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    Chapter 33 Helping the Oracle: Vector Sign Constraints for Model Shrinkage Methodologies
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    Chapter 34 Fetal Heart Rate Classification with Convolutional Neural Networks and the Effect of Gap Imputation on Their Performance
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    Chapter 35 Parallel Bayesian Optimization of Agent-Based Transportation Simulation
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    Chapter 36 Detecting Anomalies in Marine Data: A Framework for Time Series Analysis
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    Chapter 37 Does Catastrophic Forgetting Negatively Affect Financial Predictions?
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    Chapter 38 Mesoscale Events Classification in Sea Surface Temperature Imagery
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    Chapter 39 Adapting to Complexity: Deep Learnable Architecture for Protein-protein Interaction Predictions
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    Chapter 40 Capturing Self Fulfilling Beliefs in a Rare Event: Local Outlier Factor
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    Chapter 41 Hybrid Human-AI Forecasting for Task Duration Estimation in Ship Refit
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    Chapter 42 Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives
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    Chapter 43 Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models
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Title
Machine Learning, Optimization, and Data Science
Published by
Springer Nature Switzerland, March 2023
DOI 10.1007/978-3-031-25599-1
ISBNs
978-3-03-125598-4, 978-3-03-125599-1
Editors

Nicosia, Giuseppe, Ojha, Varun, La Malfa, Emanuele, La Malfa, Gabriele, Pardalos, Panos, Di Fatta, Giuseppe, Giuffrida, Giovanni, Umeton, Renato

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