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会议文集
文集名
Machine Learning, Optimization, and Data Science
会议名
8th International Conference on Machine Learning, Optimization, and Data Science (LOD 2022)
中译名
《第八届国际机器学习、优化及数据科学会议,卷1》
会议日期
September 18-22, 2022
会议地点
Certosa di Pontignano, Italy
出版年
2023
馆藏号
349206
题名
作者
出版年
Detection of Morality in Tweets Based on the Moral Foundation Theory
Luana Bulla; Stefano De Giorgis; Aldo Gangemi; Ludovica Marinucci; Misael Mongiovi
2023
Matrix Completion for the Prediction of Yearly Country and Industry-Level CO_2 Emissions
Francesco Biancalani; Giorgio Gnecco; Rodolfo Metulini; Massimo Riccaboni
2023
A Benchmark for Real-Time Anomaly Detection Algorithms Applied in Industry 4.0
Philip Stahmann; Bodo Rieger
2023
A Matrix Factorization-Based Drug-Virus Link Prediction Method for SARS-CoV-2 Drug Prioritization
Yutong Li; Xiaorui Xu; Sophia Tsoka
2023
Hyperbolic Graph Codebooks
Pascal Mettes
2023
A Kernel-Based Multilayer Perceptron Framework to Identify Pathways Related to Cancer Stages
Marzieh Soleimanpoor; Milad Mokhtaridoost; Mehmet Gonen
2023
Loss Function with Memory for Trustworthiness Threshold Learning: Case of Face and Facial Expression Recognition
Stanislav Selitskiy; Natalya Selitskaya
2023
Machine Learning Approaches for Predicting Crystal Systems: A Brief Review and a Case Study
Gaetano Settembre; Nicola Corriero; Nicoletta Del Buono; Flavia Esposito; Rosanna Rizzi
2023
LS-PON: A Prediction-Based Local Search for Neural Architecture Search
Meyssa Zouambi; Julie Jacques; Clarisse Dhaenens
2023
Local Optimisation of Nystrom Samples Through Stochastic Gradient Descent
Matthew Hutchings; Bertrand Gauthier
2023
Explainable Machine Learning for Drug Shortage Prediction in a Pandemic Setting
Jiye Li; Bruno Kinder Almentero; Camille Besse
2023
Intelligent Robotic Process Automation for Supplier Document Management on E-Procurement Platforms
Angelo Impedovo; Emanuele Pio Barracchia; Giuseppe Rizzo
2023
Batch Bayesian Quadrature with Batch Updating Using Future Uncertainty Sampling
Kelly Smalenberger; Michael Smalenberger
2023
Sensitivity Analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion
Lukas Novak; David Lehky; Drahomfr Novak
2023
Transformers for COVID-19 Misinformation Detection on Twitter: A South African Case Study
Irene Francesca Strydom; Jacomine Grobler
2023
MI2AMI: Missing Data Imputation Using Mixed Deep Gaussian Mixture Models
Robin Fuchs; Denys Pommeret; Samuel Stocksieker
2023
On the Utility and Protection of Optimization with Differential Privacy and Classic Regularization Techniques
Eugenio Lomurno; Matteo Matteucci
2023
MicroRacer: A Didactic Environment for Deep Reinforcement Learning
Andrea Asperti; Marco Del Brutto
2023
A Practical Approach for Vehicle Speed Estimation in Smart Cities
Silvio Barra; Salvatore Carta; Antonello Meloni; Alessandro Sebastian Podda; Diego Reforgiato Recupero
2023
Corporate Network Analysis Based on Graph Learning
Emre Atan; Ali Duymaz; Funda Sarisozen; Ugur Aydin; Murat Koras; Baris Akgun; Mehmet Gonen
2023
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