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Autor Tang, Ke |
Documentos disponibles escritos por este autor (2)
Crear una solicitud de compra Refinar búsqueda11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings / Shi, Yuhui ; Tan, Kay Chen ; Zhang, Mengjie ; Tang, Ke ; Li, Xiaodong ; Zhang, Qingfu ; Tan, Ying ; Middendorf, Martin ; Jin, Yaochu
TÃtulo : 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings Tipo de documento: documento electrónico Autores: Shi, Yuhui, ; Tan, Kay Chen, ; Zhang, Mengjie, ; Tang, Ke, ; Li, Xiaodong, ; Zhang, Qingfu, ; Tan, Ying, ; Middendorf, Martin, ; Jin, Yaochu, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XXII, 1041 p. 317 ilustraciones ISBN/ISSN/DL: 978-3-319-68759-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Ciencias de la Computación Inteligencia artificial Algoritmos Red de computadoras Simulación por ordenador TeorÃa de la Computación Modelos de Computación Redes de comunicación informática Modelado por computadora Clasificación: Resumen: Este libro constituye las actas arbitradas de la 11.ª Conferencia Internacional sobre Evolución y Aprendizaje Simulado, SEAL 2017, celebrada en Shenzhen, China, en noviembre de 2017. Los 85 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 145 presentaciones. Estaban organizados en secciones temáticas denominadas: optimización evolutiva; optimización evolutiva multiobjetivo; aprendizaje automático evolutivo; desarrollos teóricos; selección de caracterÃsticas y reducción de dimensionalidad; entornos dinámicos e inciertos; aplicaciones del mundo real; sistemas adaptativos; e inteligencia de enjambre. Nota de contenido: Evolutionary Optimisation -- Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection -- Evolutionary Games Network Reconstruction by Memetic Algorithm with l1/2 Regularization -- A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals -- Simulated Annealing with a Time-slot Heuristic for Ready-mix Concrete Delivery -- A Sequential Learnable Evolutionary Algorithm with a Novel Knowledge Base Generation Method -- Using Parallel Strategies to Speed Up Pareto Local Search -- Differential evolution based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time -- ACO-iRBA: A Hybrid Approach to TSPN with Overlapping Neighborhoods -- An Evolutionary Algorithm with A New Coding Scheme for Multi-objective Portfolio Optimization -- Exact Approaches for the Travelling Thief Problem -- On the Use of Dynamic Reference Points in HypE -- Multi-Factorial Evolutionary Algorithm Based on M2M Decomposition -- An Efficient Local Search Algorithm for Minimum Weighted Vertex Cover on Massive Graphs -- Interactive Genetic Algorithm with Group Intelligence Articulated Possibilistic Condition Preference Model -- GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition -- Matrix Factorization based Benchmark Set Analysis: A Case Study on HyFlex.-Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space -- Evolutionary Multiobjective Optimisation -- A Hierarchical Decomposition-based Evolutionary Many-objective Algorithm -- Adjusting Parallel Coordinates for Investigating Multi-Objective Search -- An Elite Archive-based MOEA/D Algorithm -- A constraint partitioning method based on minimax strategy for constrained multiobjective optimization problems -- A Fast Objective Reduction Algorithm based on Dominance Structure for Many Objective Optimization -- A memetic algorithm based on decomposition and extended search for Multi-Objective CapacitatedArc Routing Problem -- Improvement of reference points for decomposition based multi-objective evolutionary algorithms -- Multi-Objective Evolutionary Optimization for Autonomous Intersection Management -- Study of an adaptive control of aggregate functions in MOEA/D -- Use of Inverted Triangular Weight Vectors in Decomposition-Based Many-Objective Algorithms -- Surrogate Model Assisted Multi-Objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level -- Normalized Ranking Based Particle Swarm Optimizer for Many Objective Optimization -- Evolutionary Machine Learning -- A Study on Pre-Training Deep Neural Networks Using Particle Swarm Optimisation -- Simple Linkage Identification Using Genetic Clustering -- Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization -- A Bayesian Restarting Approach to Algorithm Selection -- Evolutionary Learning based Iterated Local Search for Google Machine Reassignment Problems -- Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression -- Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling -- Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning -- Adaptive Memetic Algorithm Based Evolutionary Multi-tasking Single-objective Optimization -- Effective Policy Gradient Search for Reinforcement Learning through NEAT based Feature Extraction -- Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation -- A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors -- Theoretical Developments -- Running-time Analysis of Particle Swarm Optimization with a Single Particle Based on Average Gain -- Evolutionary Computation Theory for Remote Sensing Image Clustering: A Survey -- Feature Selection and Dimensionality Reduction -- New Representations in Genetic Programming for Feature Construction in k-means Clustering -- Transductive Transfer Learning in Genetic Programming for Document Classification -- Automatic Feature Construction for Network Intrusion Detection -- A Feature Subset Evaluation Method based on Multi-objective Optimization -- A Hybrid GA-GP Method for Feature Reduction in Classification -- Kernel Construction and Feature Subset Selection in Support Vector Machines -- KW-Race and Fast KW-Race: Racing-based Frameworks for Tuning Parameters of Evolutionary Algorithms on Black-box Optimization Problems -- Dynamic and Uncertain Environments -- A Probabilistic Learning Algorithm for the Shortest Path Problem -- A first-order difference model-based evolutionary dynamic multiobjective optimization -- A Construction Graph-based Evolutionary Algorithm For Traveling Salesman Problem -- Real-world Applications -- Bi-objective water cycle algorithm for solving remanufacturing rescheduling problem -- A New Method for Constructing Ensemble Classifier in Privacy-Preserving Distributed Environment -- Greedy based Pareto Local Search for Bi-objective Robust Airport Gate Assignment Problem -- Multi-neighbourhood Great Deluge for Google Machine Reassignment Problem -- Evolutionary Optimization of Airport Security Inspection Allocation -- Evolving Directional Changes Trading Strategies with a New Event-based Indicator -- Constrained Differential Evolution for Cost and Energy Efficiency Optimization in 5G Wireless Networks -- Evolutionary Computation to Determine Product Builds in Open Pit Mining -- An Evolutionary Vulnerability Detection Method for HFSWR Ship Tracking Algorithm -- Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with Mobile Sink -- Unsupervised Change Detection for Remote Sensing Images Based on Principal Component Analysis and Differential Evolution -- Parallel particle swarm optimization for community detection in large-scale networks -- Multi-objective memetic algorithm based onthree-dimentional request prediction for dynamic pickup-and-delivery problem with time windows -- Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network -- Large scale WSN deployment based on an improved cooperative coevolutionary PSO with global differential grouping -- Adaptive Systems -- Learning Fuzzy Cognitive Maps Using a Genetic Algorithm with Decision-making Trial and Evaluation -- Dynamic and Adaptive Threshold for DNN Compression from Scratch -- Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks -- Statistical Analysis of Social Coding in GitHub Hypernetwork -- Swarm Intelligence -- Sparse Restricted Boltzmann Machine Based on Multiobjective Optimization -- A Knee Point Driven Particle Swarm Optimization Algorithm for Sparse Reconstruction -- Multivariant optimization algorithm with bimodal-gauss -- Enhanced Comprehensive Learning Particle Swarm Optimization with Exemplar Evolution -- Recommending PSOvariants using meta-learning framework for global optimization -- Augmented Brain Storm Optimization with Mutation Strategies -- A new precedence-based Ant Colony Optimization for permutation problems -- A general swarm intelligence model for continuous function optimization -- A Hybrid Particle Swarm Optimization for High-Dimensional Dynamic Optimization -- Visualizing the Search Dynamics in a High-dimensional Space for a Particle Swarm Optimizer -- Particle Swarm Optimization with Winning Score Assignment for Multi-objective Portfolio Optimization -- Conservatism and Adventurism in Particle Swarm Optimization Algorithm -- A competitive social spider optimization with learning strategy for PID controller optimization.  . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings [documento electrónico] / Shi, Yuhui, ; Tan, Kay Chen, ; Zhang, Mengjie, ; Tang, Ke, ; Li, Xiaodong, ; Zhang, Qingfu, ; Tan, Ying, ; Middendorf, Martin, ; Jin, Yaochu, . - 1 ed. . - [s.l.] : Springer, 2017 . - XXII, 1041 p. 317 ilustraciones.
ISBN : 978-3-319-68759-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Ciencias de la Computación Inteligencia artificial Algoritmos Red de computadoras Simulación por ordenador TeorÃa de la Computación Modelos de Computación Redes de comunicación informática Modelado por computadora Clasificación: Resumen: Este libro constituye las actas arbitradas de la 11.ª Conferencia Internacional sobre Evolución y Aprendizaje Simulado, SEAL 2017, celebrada en Shenzhen, China, en noviembre de 2017. Los 85 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 145 presentaciones. Estaban organizados en secciones temáticas denominadas: optimización evolutiva; optimización evolutiva multiobjetivo; aprendizaje automático evolutivo; desarrollos teóricos; selección de caracterÃsticas y reducción de dimensionalidad; entornos dinámicos e inciertos; aplicaciones del mundo real; sistemas adaptativos; e inteligencia de enjambre. Nota de contenido: Evolutionary Optimisation -- Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection -- Evolutionary Games Network Reconstruction by Memetic Algorithm with l1/2 Regularization -- A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals -- Simulated Annealing with a Time-slot Heuristic for Ready-mix Concrete Delivery -- A Sequential Learnable Evolutionary Algorithm with a Novel Knowledge Base Generation Method -- Using Parallel Strategies to Speed Up Pareto Local Search -- Differential evolution based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time -- ACO-iRBA: A Hybrid Approach to TSPN with Overlapping Neighborhoods -- An Evolutionary Algorithm with A New Coding Scheme for Multi-objective Portfolio Optimization -- Exact Approaches for the Travelling Thief Problem -- On the Use of Dynamic Reference Points in HypE -- Multi-Factorial Evolutionary Algorithm Based on M2M Decomposition -- An Efficient Local Search Algorithm for Minimum Weighted Vertex Cover on Massive Graphs -- Interactive Genetic Algorithm with Group Intelligence Articulated Possibilistic Condition Preference Model -- GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition -- Matrix Factorization based Benchmark Set Analysis: A Case Study on HyFlex.-Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space -- Evolutionary Multiobjective Optimisation -- A Hierarchical Decomposition-based Evolutionary Many-objective Algorithm -- Adjusting Parallel Coordinates for Investigating Multi-Objective Search -- An Elite Archive-based MOEA/D Algorithm -- A constraint partitioning method based on minimax strategy for constrained multiobjective optimization problems -- A Fast Objective Reduction Algorithm based on Dominance Structure for Many Objective Optimization -- A memetic algorithm based on decomposition and extended search for Multi-Objective CapacitatedArc Routing Problem -- Improvement of reference points for decomposition based multi-objective evolutionary algorithms -- Multi-Objective Evolutionary Optimization for Autonomous Intersection Management -- Study of an adaptive control of aggregate functions in MOEA/D -- Use of Inverted Triangular Weight Vectors in Decomposition-Based Many-Objective Algorithms -- Surrogate Model Assisted Multi-Objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level -- Normalized Ranking Based Particle Swarm Optimizer for Many Objective Optimization -- Evolutionary Machine Learning -- A Study on Pre-Training Deep Neural Networks Using Particle Swarm Optimisation -- Simple Linkage Identification Using Genetic Clustering -- Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization -- A Bayesian Restarting Approach to Algorithm Selection -- Evolutionary Learning based Iterated Local Search for Google Machine Reassignment Problems -- Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression -- Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling -- Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning -- Adaptive Memetic Algorithm Based Evolutionary Multi-tasking Single-objective Optimization -- Effective Policy Gradient Search for Reinforcement Learning through NEAT based Feature Extraction -- Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation -- A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors -- Theoretical Developments -- Running-time Analysis of Particle Swarm Optimization with a Single Particle Based on Average Gain -- Evolutionary Computation Theory for Remote Sensing Image Clustering: A Survey -- Feature Selection and Dimensionality Reduction -- New Representations in Genetic Programming for Feature Construction in k-means Clustering -- Transductive Transfer Learning in Genetic Programming for Document Classification -- Automatic Feature Construction for Network Intrusion Detection -- A Feature Subset Evaluation Method based on Multi-objective Optimization -- A Hybrid GA-GP Method for Feature Reduction in Classification -- Kernel Construction and Feature Subset Selection in Support Vector Machines -- KW-Race and Fast KW-Race: Racing-based Frameworks for Tuning Parameters of Evolutionary Algorithms on Black-box Optimization Problems -- Dynamic and Uncertain Environments -- A Probabilistic Learning Algorithm for the Shortest Path Problem -- A first-order difference model-based evolutionary dynamic multiobjective optimization -- A Construction Graph-based Evolutionary Algorithm For Traveling Salesman Problem -- Real-world Applications -- Bi-objective water cycle algorithm for solving remanufacturing rescheduling problem -- A New Method for Constructing Ensemble Classifier in Privacy-Preserving Distributed Environment -- Greedy based Pareto Local Search for Bi-objective Robust Airport Gate Assignment Problem -- Multi-neighbourhood Great Deluge for Google Machine Reassignment Problem -- Evolutionary Optimization of Airport Security Inspection Allocation -- Evolving Directional Changes Trading Strategies with a New Event-based Indicator -- Constrained Differential Evolution for Cost and Energy Efficiency Optimization in 5G Wireless Networks -- Evolutionary Computation to Determine Product Builds in Open Pit Mining -- An Evolutionary Vulnerability Detection Method for HFSWR Ship Tracking Algorithm -- Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with Mobile Sink -- Unsupervised Change Detection for Remote Sensing Images Based on Principal Component Analysis and Differential Evolution -- Parallel particle swarm optimization for community detection in large-scale networks -- Multi-objective memetic algorithm based onthree-dimentional request prediction for dynamic pickup-and-delivery problem with time windows -- Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network -- Large scale WSN deployment based on an improved cooperative coevolutionary PSO with global differential grouping -- Adaptive Systems -- Learning Fuzzy Cognitive Maps Using a Genetic Algorithm with Decision-making Trial and Evaluation -- Dynamic and Adaptive Threshold for DNN Compression from Scratch -- Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks -- Statistical Analysis of Social Coding in GitHub Hypernetwork -- Swarm Intelligence -- Sparse Restricted Boltzmann Machine Based on Multiobjective Optimization -- A Knee Point Driven Particle Swarm Optimization Algorithm for Sparse Reconstruction -- Multivariant optimization algorithm with bimodal-gauss -- Enhanced Comprehensive Learning Particle Swarm Optimization with Exemplar Evolution -- Recommending PSOvariants using meta-learning framework for global optimization -- Augmented Brain Storm Optimization with Mutation Strategies -- A new precedence-based Ant Colony Optimization for permutation problems -- A general swarm intelligence model for continuous function optimization -- A Hybrid Particle Swarm Optimization for High-Dimensional Dynamic Optimization -- Visualizing the Search Dynamics in a High-dimensional Space for a Particle Swarm Optimizer -- Particle Swarm Optimization with Winning Score Assignment for Multi-objective Portfolio Optimization -- Conservatism and Adventurism in Particle Swarm Optimization Algorithm -- A competitive social spider optimization with learning strategy for PID controller optimization.  . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 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 IngenierÃa de software Aprendizaje automático MinerÃa de datos y descubrimiento de conocimientos Procesamiento de datos Clasificación: Resumen: Este libro constituye las actas arbitradas de la 22.ª Conferencia Internacional sobre IngenierÃa 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 artÃculos completos incluidos en este libro fueron cuidadosamente revisados ​​y seleccionados entre 85 envÃos. 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. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 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 IngenierÃa de software Aprendizaje automático MinerÃa de datos y descubrimiento de conocimientos Procesamiento de datos Clasificación: Resumen: Este libro constituye las actas arbitradas de la 22.ª Conferencia Internacional sobre IngenierÃa 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 artÃculos completos incluidos en este libro fueron cuidadosamente revisados ​​y seleccionados entre 85 envÃos. 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. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
