the proceedings contain 64 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: data streams fusion by frequent correlations mining;web genre clas...
the proceedings contain 64 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: data streams fusion by frequent correlations mining;web genre classification via hierarchical multi-label classification;multi-agent reinforcement learning for control systems: challenges and proposals;optimal filtering for time series classification;managing monotonicity in classification by a pruned random forest;ensemble selection based on discriminant functions in binary classification task;an extension of multi-label binary relevance models based on randomized reference classifier and local fuzzy confusion matrix;fusion of self-organizing maps with different sizes;a particle swarm clustering algorithm with fuzzy weighted step sizes;a bacterial colony algorithm for association rule mining;information retrieval and data forecasting via probabilistic nodes combination;knowledge discovery in enterprise databases for forecasting new product success;deterministic extraction of compact sets of rules for subgroup discovery;variable transformation for granularity change in hierarchical databases in actual data mining solutions;an empirical evaluation of robust Gaussian process models for system identification;throughput analysis of automatic production lines based on simulation methods;study of collective robotic tasks based on the behavioral model of the agent;minimalist artificial eye for autonomous robots and path planning;intelligentautomated design of machine components using antipatterns;application of fuzzy logic controller for machine load balancing in discrete manufacturing system;local search based on a local utopia point for the multiobjective travelling salesman problem;a hybrid programming framework for resource-constrained scheduling problems and building an efficient evolutionary algorithm for forex market predictions.
the proceedings contain 58 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: the prevalence of errors in machine learning experiments;a hybrid ...
ISBN:
(纸本)9783030336066
the proceedings contain 58 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: the prevalence of errors in machine learning experiments;a hybrid model for fraud detection on purchase orders;users intention based on twitter features using text analytics;mixing hetero- and homogeneous models in weighted ensembles;a hybrid approach to time series classification with shapelets;an ensemble algorithm based on deep learning for tuberculosis classification;a data-driven approach to automatic extraction of professional figure profiles from Résumés;retrieving and processing information from clinical algorithm via formal concept analysis;scalable dictionary classifiers for time series classification;comparative analysis of approaches to building medical dialog systems in Russian;Tracking position and status of electric control switches based on YOLO detector;a self-generating prototype method based on information entropy used for condensing data in classification tasks;transfer knowledge between sub-regions for traffic prediction using deep learning method;global Q-learning approach for power allocation in femtocell networks;deep learning and sensor fusion methods for studying gait changes under cognitive load in males and females;towards a robotic personal trainer for the elderly;Image quality constrained GAN for super-resolution;use case prediction using product reviews text classification;convolutional neural network for core sections identification in scientific research publications;Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm;knowledge inference through analysis of human activities;representation learning of knowledge graphs with multi-scale capsule network;a multimodal approach to image sentiment analysis.
the proceedings contain 59 papers. the topics discussed include: on domain independence of author identification;interpreting hidden neurons in Boolean constructive neural networks;a language specification tool for mo...
ISBN:
(纸本)9783642238772
the proceedings contain 59 papers. the topics discussed include: on domain independence of author identification;interpreting hidden neurons in Boolean constructive neural networks;a language specification tool for model-based parsing;SVM approach to classifying lesions in USG images withthe use of the Gabor decomposition;on the extraction and classification of hand outlines;clustering-based leaders' selection in multi-objective particle swarm optimisation;logistic fitting method for detecting onset and cessation of tree stem radius increase;novelty detection for identifying deterioration in emergency department patients;a modified apriori algorithm for analysing high-dimensional gene data;comparing multi-class classifiers: on the similarity of confusion matrices for predictive toxicology applications;automated image annotation system based on an open source object database;and a novel ensemble of distance measures for feature evaluation: application to sonar imagery.
the proceedings contain 125 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: Mining attributed interaction networks on industrial event logs;e...
ISBN:
(纸本)9783030034955
the proceedings contain 125 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: Mining attributed interaction networks on industrial event logs;evidence-based systematic literature reviews in the cloud;bibliometric network analysis to identify the intellectual structure and evolution of the big data research field;a new approach for implicit citation extraction;constructing bibliometric networks from Spanish doctoral theses;measuring the impact of the international relationships of the andalusian universities using dimensions database;gaussian process kernels for support vector regression in wind energy prediction;studying the effect of measured solar power on evolutionary multi-objective prediction intervals;Merging ELMs with satellite data and clear-sky models for effective solar radiation estimation;measuring extremism: Validating an alt-right Twitter accounts dataset;distribution-based discretisation and ordinal classification applied to wave height prediction;wind power ramp events ordinal prediction using minimum complexity echo state networks;GELAB - A Matlab toolbox for grammatical evolution;bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode;hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models;novelty detection using elliptical fuzzy clustering in a reproducing kernel Hilbert space;semi-supervised learning to reduce data needs of indoor positioning models;different approaches of data and attribute selection on headache disorder;a study of fuzzy clustering to archetypal analysis;bare bones fireworks algorithm for medical image compression;riskTrack: Assessing the risk of Jihadi radicalization on Twitter using linguistic factors.
the proceedings contain 125 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: Mining attributed interaction networks on industrial event logs;e...
ISBN:
(纸本)9783030034924
the proceedings contain 125 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: Mining attributed interaction networks on industrial event logs;evidence-based systematic literature reviews in the cloud;bibliometric network analysis to identify the intellectual structure and evolution of the big data research field;a new approach for implicit citation extraction;constructing bibliometric networks from Spanish doctoral theses;measuring the impact of the international relationships of the andalusian universities using dimensions database;gaussian process kernels for support vector regression in wind energy prediction;studying the effect of measured solar power on evolutionary multi-objective prediction intervals;Merging ELMs with satellite data and clear-sky models for effective solar radiation estimation;measuring extremism: Validating an alt-right Twitter accounts dataset;distribution-based discretisation and ordinal classification applied to wave height prediction;wind power ramp events ordinal prediction using minimum complexity echo state networks;GELAB - A Matlab toolbox for grammatical evolution;bat algorithm swarm robotics approach for dual non-cooperative search with self-centered mode;hospital admission and risk assessment associated to exposure of fungal bioaerosols at a municipal landfill using statistical models;novelty detection using elliptical fuzzy clustering in a reproducing kernel Hilbert space;semi-supervised learning to reduce data needs of indoor positioning models;different approaches of data and attribute selection on headache disorder;a study of fuzzy clustering to archetypal analysis;bare bones fireworks algorithm for medical image compression;riskTrack: Assessing the risk of Jihadi radicalization on Twitter using linguistic factors.
the proceedings contain 170 papers. the topics discussed include: on some of the neural mechanisms underlying adaptive behavior;on correlation measures of intuitionistic fuzzy sets;a more effective constructive algori...
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ISBN:
(纸本)3540454853
the proceedings contain 170 papers. the topics discussed include: on some of the neural mechanisms underlying adaptive behavior;on correlation measures of intuitionistic fuzzy sets;a more effective constructive algorithm for permutation flow shop problem;a fast algorithm for relevance vector machine;time series relevance determination through a topology-constrained hidden Markov model;a fast data processing procedure for support vector regression;classification by weighting, similarity and kNN;an improved EM algorithm for statistical segmentation of brain MRI;process state and progress visualization using self-organizing map;comparing support vector machines and feed-forward neural networks with similar parameters;a new model selection method for SVM;integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images;and generalization performance of exchange Monte Carlo method for normal mixture models.
the proceedings contain 66 papers. the topics discussed include: kernel regression with a mahalanobis metric for short-term traffic flow forecasting;hybrid weighted distance measures and their application to pattern r...
ISBN:
(纸本)3540889051
the proceedings contain 66 papers. the topics discussed include: kernel regression with a mahalanobis metric for short-term traffic flow forecasting;hybrid weighted distance measures and their application to pattern recognition;a multitask learning approach to face recognition based on neural networks;logic synthesis for FSMs using quantum inspired evolution;a new adaptive strategy for pruning and adding hidden neurons during training artificial neural networks;using Kullback-Leibler distance in determining the classes for the heart sound signal classification;a semi-fragile watermark scheme based on the logistic chaos sequence and singular value decomposition;distribution feeder load balancing using support vector machines;and extracting auto-correlation for license plate detection based on AdaBoost.
the proceedings contain 68 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: A simplified algorithm based on IF Model;from parzen window estima...
ISBN:
(纸本)9783319462561
the proceedings contain 68 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: A simplified algorithm based on IF Model;from parzen window estimation to feature extraction;a new perspective;an efficient sparse optimization method for unfinished magic squares;enhancing state space search for planning by Monte-Carlo random walk exploration;mining frequent trajectory patterns in road network based on similar trajectory;a note on the k-NN density estimate;visualizing MOOC User behaviors;modified-DBSCAN clustering for identifying traffic accident prone locations;a novel link prediction algorithm based on spatial mapping in PPI Network;a compatible model of unstructured data for cross-media retrieval in the field of tourism;feature selection in click-through rate prediction based on gradient boosting;study on the detection of cross-site scripting vulnerabilities based on reverse code audit;a mapreduce-based ELM for Regression in big data;very deep neural network for handwritten digit recognition;an FW-BF Based approach on elimination of duplicated web pages;uncertain frequent itemsets mining algorithm on data streams with constraints;ubiquitous robot: a new paradigm for intelligence;a method of discriminative features extraction for restricted Boltzmann machines;an approach to design growing echo state networks;a density-based clustering algorithm with sampling for travel behavior analysis;gray-coded clonal selection algorithm for optimization problem and a duplication task scheduling algorithm in cloud environments.
the proceedings contain 58 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: Modelling Survival by Machine learning Methods in Liver Transplant...
ISBN:
(纸本)9783030336165
the proceedings contain 58 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: Modelling Survival by Machine learning Methods in Liver Transplantation: Application to the UNOS dataset;design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images;comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis;a Clustering-Based Patient Grouper for Burn Care;a Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions;A Method Based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI;safe Deep Neural Network-Driven Autonomous Vehicles Using Software Safety Cages;Wave and Viscous Resistance Estimation by NN;Neural Controller of UAVs with Inertia Variations;unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering;a Metric Framework for Quantifying data Concentration;adaptive Machine learning-Based Stock Prediction Using Financial Time Series Technical Indicators;exploiting Online Newspaper Articles Metadata for Profiling City Areas;modelling the Social Interactions in Ant Colony Optimization;an Innovative Deep-learning Algorithm for Supporting the Approximate Classification of Workloads in Big data Environments;control-Flow Business Process Summarization via Activity Contraction;classifying Flies Based on Reconstructed Audio Signals;studying the Evolution of the ‘Circular Economy’ Concept Using Topic Modelling;mining Frequent Distributions in Time Series;time Series Display for Knowledge Discovery on Selective Laser Melting Machines;multimodal Web Based Video Annotator with Real-Time Human Pose Estimation;using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy;SMOTE Algorithm Variations in Balancing data Streams.
the proceedings contain 49 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: GPU-Based Acceleration of the Rao Optimization Algorithm...
ISBN:
(纸本)9783031482311
the proceedings contain 49 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: GPU-Based Acceleration of the Rao Optimization Algorithms: Application to the Solution of Large Systems of Nonlinear Equations;direct Determination of Operational Value-at-Risk Using Descriptive Statistics;using Deep learning Models to Predict the Electrical Conductivity of the Influent in a Wastewater Treatment Plant;unsupervised Defect Detection for Infrastructure Inspection;Generating Adversarial Examples Using LAD;emotion Extraction from Likert-Scale Questionnaires: – An Additional Dimension to Psychology Instruments –;recent Applications of Pre-aggregation Functions;a Probabilistic Approach: Querying Web Resources in the Presence of Uncertainty;domain Adaptation in Transformer Models: Question Answering of Dutch Government Policies;complexity-Driven Sampling for Bagging;sustainable On-Street Parking Mapping with Deep learning and Airborne Imagery;hebbian learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks;extracting Automatically a Domain Ontology from the "Book of Properties" of the Archbishop’s Table of Braga;language Models for Automatic Distribution of Review Notes in Movie Production;extracting Knowledge from Incompletely Known Models;threshold-Based Classification to Enhance Confidence in Open Set of Legal Texts;comparing Ranking learning Algorithms for Information Retrieval Systems;analyzing the Influence of Market Event Correction for Forecasting Stock Prices Using Recurrent Neural Networks;measuring the Relationship Between the Use of Typical Manosphere Discourse and the Engagement of a User withthe Pick-Up Artist Community;uniform Design of Experiments for Equality Constraints;a Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation;globular Cluster Detection in M33 Using Multiple Views Representation learning;segmentation of Brachial Plexus
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