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Intelligent Data Engineering and Automated Learning - IDEAL 2021 de Hujun Yin

Intelligent Data Engineering and Automated Learning - IDEAL 2021

Editat de Hujun Yin, David Camacho, Peter Tino, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento
en Limba Engleză Paperback – 21 noi 2021
This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic. The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.
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Specificații

ISBN-13: 9783030916077
ISBN-10: 3030916073
Pagini: 668
Ilustrații: XVIII, 649 p. 224 illus., 173 illus. in color.
Dimensiuni: 155 x 235 x 36 mm
Greutate: 1 kg
Ediția:1st edition 2021
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

Main Track.- A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality.- A Parallel Variable Neighborhood Search for Solving Real-World Production-Scheduling Problems.- Inheritances of Orthogonality in the Bio-inspired Layered Networks.- A Neural Architecture for Detecting Identifier Renaming from Diff.- Spell Checker Application Based on Levenshtein Automaton.- Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data.- AutoML technologies for the identification of sparse models.- A Hierarchical Multi-Label Classification of Multi-Resident Activities.- Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem.- Plagiarism Detection by Usage of Encoplot and Transformers.- Drift Detection in Text Data with Document Embeddings.- Validation of Video Retrieval by Kappa Measure for Inter-Judge Agreement.- Multi Language Application of Previously Developed Transcripts Classifier.- A complexity measure for binary classification problems based on lost points.- Linear Concept Approximation for Multilingual Document Recommendation.- Unsupervised Detection of Solving Strategies for Competitive Programming.- Application of long short-term memory neural networks for electric arc furnace modelling.- An Empirical Study of the Impact of Field Features in Learning-to-rank Method.- An Optimized Evidential Artificial Immune Recognition System based on Genetic Algorithm.- New Arabic Medical Dataset for Diseases Classification.- Improving Maximum Likelihood Estimation using Marginalization and Black-Box Variational Inference.- A Deep Learning-Based Approach for Train Arrival Time Prediction.- A Hybrid Approach for Predicting Bitcoin Price using Bi-LSTM and Bi-RNN Based Neural Network.- DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring.- Time-series in Hyper-parameter Initialization of Machine Learning Techniques.- Prediction of Maintenance Equipment Failures Using AutomatedMachine Learning.- Learning Inter-Lingual Document Representations via Concept Compression.- Mixture-based probabilistic graphical models for the partial label ranking problem.- From classification to visualization: a two way trip.- Neural Complexity Assessment: A Deep Learning Approach to Readability Classification for European Portuguese Corpora.- Countering misinformation through semantic-aware multilingual models.- Genetic and Ant Colony algorithms to solve the multi-TSP.- Explainable AI (XAI) in Healthcare – Opportunities, Gaps and Challenges and a New Way to Look the Problem Space.- End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images.- SFU-CE: Skyline Frequent-Utility Itemset Discovery Using the Cross-Entropy Method.- Evaluating Football Player Actions during Counterattacks.- An Intelligent Decision Support System for Production Planning in Garments Industry.- Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images.- "A Profile on Twitter Shadowban: an AI Ethics.- position paper on Free-Speech".- Meta-Feature Extraction Strategies for Active Anomaly Detection.- An implementation of the "Guess who?" game using CLIP.- Directional Graph Transformer-based Control Flow Embedding for Malware Classification.- Violence Detection with Audio inside the Car.- Evaluating Uni-dimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants.- LSTM neural network modeling of wind speed and correlation analysis of wind and waves.- Finding Local Explanations through Masking Models.- Wind Turbine Modelling based on Neural Networks: a First Approach.- Multi-Attribute Forecast of the Price in the Iberian Electricity Market.- Tracking the temporal-evolution of supernova bubbles in numerical simulations.- SOMiMS - Topographic Mapping in the Model Space.- Fair Regret Minimization Queries.- Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis.- Special Session on Clustering for Interpretable Machine Learning.- Detecting Communities in Feature-Rich Networks with a K-Means Method.- Meta-learning based feature selection for clustering.- ACHC: Associative Classifier based on Hierarchical Clustering.- Special Session on Machine Learning towards Smarter Multimodal Systems.- Multimodal Semi-supervised Bipolar Disorder Classification.- Developments on support vector machines for multiple-expert learning.- WalkingStreet: understanding human mobility phenomena through a mobile application.- Indoor Positioning System for Ubiquitous Computing Environments.- Special Session on Computational Intelligence for Computer Vision and Image Processing.- T Line and C Line Detection and Ratio Reading of the Ovulation Test Strip Based on Deep Learning.- Radar echo image prediction algorithm based on multi-scale encoding-decoding network.