Machine Learning, Optimization, and Data Science : 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 19-22, 2022, Revised Selected Papers, Part I / edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton.

Format:

Book

Contributor:

Nicosia, Giuseppe, Editor.

Ojha, Varun, Editor.

La Malfa, Emanuele, Editor.

La Malfa, Gabriele., Editor.

Pardalos, Panos., Editor.

Di Fatta, Giuseppe, Editor.

Giuffrida, Giovanni, Editor.

Umeton, Renato, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science 1611-3349 ; 13810

Lecture Notes in Computer Science, 1611-3349 ; 13810

Language:

English

Subjects (All):

Information technology-Management.

Computer networks.

Computer systems.

Data structures (Computer science).

Information theory.

Artificial intelligence.

Machine learning.

Computer Application in Administrative Data Processing.

Computer Communication Networks.

Computer System Implementation.

Data Structures and Information Theory.

Artificial Intelligence.

Machine Learning.

Local Subjects:

Computer Application in Administrative Data Processing.

Computer Communication Networks.

Computer System Implementation.

Data Structures and Information Theory.

Artificial Intelligence.

Machine Learning.

Physical Description:

1 online resource (XXIV, 616 pages) : 203 illustrations, 180 illustrations in color.

Edition:

1st ed. 2023.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

System Details:

text file PDF

Summary:

This two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022. The total of 84 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 226 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

Contents:

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

Artificial Intelligence.

Other Format:

Printed edition:

ISBN:

978-3-031-25599-1

9783031255991

Access Restriction:

Restricted for use by site license.