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  • Produktbild: Intelligent Data Engineering and Automated Learning – IDEAL 2021
  • Produktbild: Intelligent Data Engineering and Automated Learning – IDEAL 2021
Band 13113

Intelligent Data Engineering and Automated Learning – IDEAL 2021 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings

Aus der Reihe Lecture Notes in Computer Science

98,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.11.2021

Abbildungen

XVIII, 649 p. 224 illus., 173 illus. in color.

Herausgeber

Hujun Yin + weitere

Verlag

Springer

Seitenzahl

649

Maße (L/B/H)

23,5/15,5/3,6 cm

Gewicht

996 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-91607-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.11.2021

Abbildungen

XVIII, 649 p. 224 illus., 173 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

649

Maße (L/B/H)

23,5/15,5/3,6 cm

Gewicht

996 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-91607-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Intelligent Data Engineering and Automated Learning – IDEAL 2021
  • Produktbild: Intelligent Data Engineering and Automated Learning – IDEAL 2021
  • 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.