Intelligent data engineering and automated learning - IDEAL 2021 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021 : proceedings

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Bibliographische Detailangaben
Körperschaft: IDEAL (VerfasserIn)
Weitere Verfasser: Yin, Hujun (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2021
Schriftenreihe:Lecture notes in computer science 13113
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Titel Jahr Verfasser
A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality 2021 Matos, Luís Miguel
Inheritances of Orthogonality in the Bio-inspired Layered Networks 2021 Ishii, Naohiro
Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data 2021 Miftahushudur, Tajul
Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem 2021 Gareau, Jaël Champagne
A Complexity Measure for Binary Classification Problems Based on Lost Points 2021 Lancho, Carmen
New Arabic Medical Dataset for Diseases Classification 2021 Hammoud, Jaafar
Prediction of Maintenance Equipment Failures Using Automated Machine Learning 2021 Ferreira, Luís
Learning Inter-Lingual Document Representations via Concept Compression 2021 Lenz, Marc
Mixture-Based Probabilistic Graphical Models for the Partial Label Ranking Problem 2021 Alfaro, Juan C.
Genetic and Ant Colony Algorithms to Solve the Multi-TSP 2021 Pereira, Sílvia de Castro
SFU-CE: Skyline Frequent-Utility Itemset Discovery Using the Cross-Entropy Method 2021 Song, Wei
Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images 2021 Park, Kyoung-Won
An Implementation of the “Guess Who?” Game Using CLIP 2021 Sarri, Arnau Martí
In-Car Violence Detection Based on the Audio Signal 2021 Santos, Flávio
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants 2021 Oliveira, Pedro
LSTM Neural Network Modeling of Wind Speed and Correlation Analysis of Wind and Waves 2021 Serrano-Barreto, Carlos
Wind Turbine Modelling Based on Neural Networks: A First Approach 2021 Sierra-García, J. Enrique
Detecting Communities in Feature-Rich Networks with a K-Means Method 2021 Shalileh, Soroosh
Developments on Support Vector Machines for Multiple-Expert Learning 2021 Umaquinga-Criollo, Ana C.
Indoor Positioning System for Ubiquitous Computing Environments 2021 Santos, Pedro Albuquerque
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