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Machine Learning, Optimization, and Data Science 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 18–22, 2022, Revised Selected Papers, Part II

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.03.2023

Herausgeber

Giuseppe Nicosia + weitere

Verlag

Springer

Seitenzahl

582

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

908 g

Auflage

1st edition 2023

Sprache

Englisch

ISBN

978-3-031-25890-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

10.03.2023

Herausgeber

Verlag

Springer

Seitenzahl

582

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

908 g

Auflage

1st edition 2023

Sprache

Englisch

ISBN

978-3-031-25890-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Machine Learning, Optimization, and Data Science
  • Produktbild: Machine Learning, Optimization, and Data Science
  • Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting.- Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms.- Batch Bayesian Quadrature with Batch Updating Using Future Uncertainty Sampling.- Sensitivity analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial.- Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models.- Deep Learning.- Machine Learning.- Reinforcement Learning.- Neural Networks.- Deep Reinforcement Learning.- Optimization.- Global Optimization.- Multi-Objective Optimization.- Computational Optimization.- Data Science.- Big Data.- Data Analytics.- Artificial Intelligence.- Detection of Morality in Tweets based on the Moral Foundation Theory.- Matrix completion for the prediction of yearly country and industry-level CO2 emissions.- A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0.- A Matrix Factorization-based Drug-virus Link Prediction Method for SARS CoV.- Drug Prioritization.- Hyperbolic Graph Codebooks.- A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages.- Loss Function with Memory for Trustworthiness Threshold Learning: Case of Face and Facial Expression Recognition.- Machine learning approaches for predicting Crystal Systems: a brief review and a case study.- LS-PON: a Prediction-based Local Search for Neural Architecture Search.- Local optimisation of Nystrm samples through stochastic gradient descent.- Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting.- Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms.- Batch Bayesian Quadrature with Batch Updating Using Future Uncertainty Sampling.- Sensitivity analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial.- Inferring Pathological Metabolic Patterns in Breast Cancer Tissue from Genome-Scale Models.- Deep Learning.- Machine Learning.- Reinforcement Learning.- Neural Networks.- Deep Reinforcement Learning.- Optimization.- Global Optimization.- Multi-Objective Optimization.- Computational Optimization.- Data Science.- Big Data.- Data Analytics.- Artificial Intelligence.