| Título : |
22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Yin, Hujun, ; Camacho, David, ; Tino, Peter, ; Allmendinger, Richard, ; Tallón-Ballesteros, Antonio J., ; Tang, Ke, ; Cho, Sung-Bae, ; Novais, Paulo, ; Nascimento, Susana, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XVIII, 649 p. 224 ilustraciones, 173 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-91608-4 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Educación Visión por computador Computadoras y Educación Ingeniería de software Aprendizaje automático Minería de datos y descubrimiento de conocimientos Procesamiento de datos |
| Índice Dewey: |
6.312 |
| Resumen: |
Este libro constituye las actas arbitradas de la 22.ª Conferencia Internacional sobre Ingeniería de Datos Inteligentes y Aprendizaje Automatizado, IDEAL 2021, que tuvo lugar del 25 al 27 de noviembre de 2021. La conferencia estaba originalmente prevista para realizarse en Manchester, Reino Unido, pero se llevó a cabo virtualmente. debido a la pandemia de COVID-19. Los 61 artículos completos incluidos en este libro fueron cuidadosamente revisados y seleccionados entre 85 envíos. Se ocupan de temas emergentes y desafiantes en el análisis de datos inteligentes y los paradigmas y sistemas de aprendizaje automático asociados. Se celebraron sesiones especiales sobre agrupación para el aprendizaje automático interpretable; aprendizaje automático hacia sistemas multimodales más inteligentes; e inteligencia computacional para visión por computadora y procesamiento de imágenes. |
| Nota de contenido: |
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. . |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings [documento electrónico] / Yin, Hujun, ; Camacho, David, ; Tino, Peter, ; Allmendinger, Richard, ; Tallón-Ballesteros, Antonio J., ; Tang, Ke, ; Cho, Sung-Bae, ; Novais, Paulo, ; Nascimento, Susana, . - 1 ed. . - [s.l.] : Springer, 2021 . - XVIII, 649 p. 224 ilustraciones, 173 ilustraciones en color. ISBN : 978-3-030-91608-4 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Educación Visión por computador Computadoras y Educación Ingeniería de software Aprendizaje automático Minería de datos y descubrimiento de conocimientos Procesamiento de datos |
| Índice Dewey: |
6.312 |
| Resumen: |
Este libro constituye las actas arbitradas de la 22.ª Conferencia Internacional sobre Ingeniería de Datos Inteligentes y Aprendizaje Automatizado, IDEAL 2021, que tuvo lugar del 25 al 27 de noviembre de 2021. La conferencia estaba originalmente prevista para realizarse en Manchester, Reino Unido, pero se llevó a cabo virtualmente. debido a la pandemia de COVID-19. Los 61 artículos completos incluidos en este libro fueron cuidadosamente revisados y seleccionados entre 85 envíos. Se ocupan de temas emergentes y desafiantes en el análisis de datos inteligentes y los paradigmas y sistemas de aprendizaje automático asociados. Se celebraron sesiones especiales sobre agrupación para el aprendizaje automático interpretable; aprendizaje automático hacia sistemas multimodales más inteligentes; e inteligencia computacional para visión por computadora y procesamiento de imágenes. |
| Nota de contenido: |
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. . |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
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