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
the proceedings contain 100 papers. the topics discussed include: taking advantage of class-specific feature selection;SCIS: combining instance selection methods to increase their effectiveness over a wide range of do...
ISBN:
(纸本)3642043933
the proceedings contain 100 papers. the topics discussed include: taking advantage of class-specific feature selection;SCIS: combining instance selection methods to increase their effectiveness over a wide range of domains;nearest neighbor classification by relearning;lazy classification using an optimized instance-based learner;phase load balancing in the secondary distribution network using a fuzzy logic and a combinatorial optimization based on the Newton Raphson;FeedRank: a semantic-based management system of web feeds;semi-supervised outcome prediction for a type of human brain tumour using partially labeled MRS information;discriminant regression analysis to find homogeneous structures;discriminant independent component analysis;a heuristic partial-correlation-based algorithm for causal relationship discovery on continuous data;and framework for decisional business modeling and requirements modeling in data mining projects.
the proceedings contain 164 papers. the special focus in this conference is on Agents, automatedlearning, Bioinformatics and data Mining. the topics include: A two-stage Bayesian network for effective development of ...
ISBN:
(纸本)354040550X
the proceedings contain 164 papers. the special focus in this conference is on Agents, automatedlearning, Bioinformatics and data Mining. the topics include: A two-stage Bayesian network for effective development of conversational agent;connected replicator dynamics and their control in a learning multi-agent system;agent compromises in distributed problem solving;gradient based method for symmetric and asymmetric multiagent reinforcement learning;an enhanced security model for mobile agent system;a ring-based architectural model for middle agents in agent-based system;belief revision for adaptive recommender agents in e-commerce;agent-based layered intelligent information integration system using ontology and metadata registry;fluctuation in multi-agent system of supermarket chain network;a self-organizing channel assignment algorithm;the inductive inverse kinematics algorithm for manipulating the posture of an articulated body;a fast implementation of radial basis function networks with application to time series forecasting;on the comparisons between RLSA and CLA for solving arbitrary linear simultaneous equations;locally balanced incremental hierarchical discriminant regression;a comparative study of several cluster number selection criteria;automating stock prediction with neural network and evolutionary computation;temporal difference coding in reinforcement learning;combination of linear and general regression neural network for robust short term financial prediction;a clustering approach to the vision-based interface for interactive computer games;automatic extraction of moving objects using distributed genetic algorithms and a hybrid search algorithm of ant colony optimization and genetic algorithm applied to weapon-target assignment problems.
the proceedings contain 60 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: A first approach to heuristic multilabel undersampling;development...
ISBN:
(纸本)9783319108391
the proceedings contain 60 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: A first approach to heuristic multilabel undersampling;development of eye-blink controlled application for physically handicapped children;generation of reducts based on nearest neighbor relation;automatic content related feedback for MOOCs based on course domain ontology;user behavior modeling in a cellular network using latent dirichlet allocation;sample size issues in the choice between the best classifier and fusion by trainable combiners;on interlinking linked data sources by using ontology matching techniques and the map-reduce framework;managing borderline and noisy examples in imbalanced classification by combining SMOTE with ensemble filtering;a meta-topic identification model for twitter using semantic analysis;use of empirical mode decomposition for classification of MRCP based task parameters;diversified random forests using random subspaces;fast frequent pattern detection using prime numbers;multi-step forecast based on modified neural gas mixture autoregressive model;LBP and machine learning for diabetic retinopathy detection;application to the ATLLc water network;data analysis for detecting a temporary breath inability episode;CPSO applied in the optimization of a speech recognition system;object-neighbourhood clustering ensemble method;a novel recursive kernel-based algorithm for robust pattern classification;multi-objective genetic algorithms for sparse least square support vector machines;pixel classification and heuristics for facial feature localization and a new appearance signature for real time person re-identification.
the proceedings contain 59 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: On the extraction and classification of hand outlines;clustering-b...
ISBN:
(纸本)9783642238772
the proceedings contain 59 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: On the extraction and classification of hand outlines;clustering-based Leaders’ Selection in multi-objective particle swarm optimisation;categorization of Wikipedia articles with spectral clustering;is genetic programming “human-competitive”? the case of experimental double auction markets;Portfolio optimization using SPEA2 with resampling;decoding phase-based information from steady-state visual evoked potentials with use of complex-valued neural network;spectral non-gaussianity for blind image deblurring;A graph partitioning approach to SOM clustering;on domain independence of author identification;using the clustering coefficient to guide a genetic-based communities finding algorithm;a framework to mine high-level emerging patterns by attribute-oriented induction;finding first-order minimal unsatisfiable cores with a heuristic depth-first-search algorithm;3D markerless motion tracking in real-time using a single camera;extensions for continuous pattern mining;logistic fitting method for detecting onset and cessation of tree stem radius increase;Simplifying SVM with weighted LVQ algorithm;novelty detection for identifying deterioration in emergency department patients;a hybrid model to favor the selection of high quality features in high dimensional domains;a modified apriori algorithm for analysing high-dimensional gene data;empirical comparison of resampling methods using genetic fuzzy systems for a regression problem;evolving recurrent neural models of geomagnetic storms;comparing multi-class classifiers: On the similarity of confusion matrices for predictive toxicology applications;modeling design and flow feature interactions for automotive synthesis;the importance of precision in humour classification;non-metric multidimensional scaling for privacy-preserving data clustering.
the proceedings contain 59 papers. the topics discussed include: development of eye-blink controlled application for physically handicapped children;generation of reducts based on nearest neighbor relation;user behavi...
ISBN:
(纸本)9783319108391
the proceedings contain 59 papers. the topics discussed include: development of eye-blink controlled application for physically handicapped children;generation of reducts based on nearest neighbor relation;user behavior modeling in a cellular network using latent dirichlet allocation;sample size issues in the choice between the best classifier and fusion by trainable combiners;on interlinking linked data sources by using ontology matching techniques and the map-reduce framework;managing borderline and noisy examples in imbalanced classification by combining SMOTE with ensemble filtering;use of empirical mode decomposition for classification of MRCP based task parameters;diversified random forests using random subspaces;fast frequent pattern detection using prime numbers;multi-step forecast based on modified neural gas mixture autoregressive model;and data analysis for detecting a temporary breath inability episode.
the proceedings contain 65 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: Cross-media retrieval of tourism big data based on deep features a...
ISBN:
(纸本)9783319689340
the proceedings contain 65 papers. the special focus in this conference is on intelligentdataengineering and automatedlearning. the topics include: Cross-media retrieval of tourism big data based on deep features and topic semantics;information retrieval with implicitly temporal queries;on the relations of theoretical foundations of different causal inference algorithms;SibStCNN and TBCNN + kNN-TED: New models over tree structures for source code classification;a community detection algorithm based on local double rings and fireworks algorithm;cost sensitive matrix factorization for face recognition;Research of dengue fever prediction in san juan, puerto rico based on a KNN regression model;identification of nonlinear system based on complex-valued flexible neural network;research on the method of splitting large class diagram based on multilevel partitioning;dynamic community detection algorithm based on automatic parameter adjustment;ford motorcar identification from single-camera side-view image based on convolutional neural network;predicting personality traits of users in social networks;face anti-spoofing algorithm based on gray level co-occurrence matrix and dual tree complex wavelet transform;high-accuracy deep convolution neural network for image super-resolution;an improved density peak clustering algorithm;consensus-based parallel algorithm for robust convex optimization with scenario approach in colored network;heterogeneous context-aware recommendation algorithm with semi-supervised tensor factorization;object detection with proposals in high-resolution optical remote sensing images;towards spectral-texture approach to hyperspectral image analysis for plant classification;face attributes retrieval by multi-label contractive hashing;an ant colony random walk algorithm for overlapping community detection;trajectory similarity-based prediction with information fusion for remaining useful life.
the proceedings contain 125 papers. the special focus in this conference is on Bioinformatics, data Mining and Knowledge engineering. the topics include: Modelling and clustering of gene expressions using RBFs and a s...
ISBN:
(纸本)3540228810
the proceedings contain 125 papers. the special focus in this conference is on Bioinformatics, data Mining and Knowledge engineering. the topics include: Modelling and clustering of gene expressions using RBFs and a shape similarity metric;a novel hybrid GA/SVM system for protein sequences classification;building genetic networks for gene expression patterns;SVM-based classification of distant proteins using hierarchical motifs;knowledge discovery in lymphoma cancer from gene-expression;a method of filtering protein surface motifs based on similarity among local surfaces;qualified predictions for proteomics pattern diagnostics with confidence machines;an assessment of feature relevance in predicting protein function from sequence;a new artificial immune system algorithm for clustering;the categorisation of similar non-rigid biological objects by clustering local appearance patches;unsupervised dense regions discovery in DNA microarray data;visualisation of distributions and clusters using ViSOMs on gene expression data;prediction of implicit protein-protein interaction by optimal associative feature mining;exploring dependencies between yeast stress genes and their regulators;prediction of natively disordered regions in proteins using a bio-basis function neural network;the effect of image compression on classification and storage requirements in a high-throughput crystallization system;a hybrid approach to human core-promoter prediction;synergy of logistic regression and support vector machine in multiple-class classification;deterministic propagation of blood pressure waveform from human wrists to fingertips;pre-pruning decision trees by local association rules and a new approach for selecting attributes based on rough set theory.
Federated learning is one of the main research lines in the last years about distributed learning, where participating nodes share their models but maintain the privacy of the data used to learn such models. Consensus...
详细信息
ISBN:
(纸本)9783031777370;9783031777387
Federated learning is one of the main research lines in the last years about distributed learning, where participating nodes share their models but maintain the privacy of the data used to learn such models. Consensus is a way of calculating a mean value between a set of agents using only information from the local neighbors. this paper presents a new approach based on Asynchronous Consensus, called Multi-layered Asynchronous Consensus-based Federated learning (MACoFL). It randomly chooses a neighbor and a layer from the neural model and interchanges it with him. this new algorithm is presented and tested using the MNIST dataset.
作者：
Mitic, PeterUCL
Dept Comp Sci Gower St London WC1E 6BT England
We present a quantitative definition of reputation risk, formulated in terms of a reputation time series comprising daily sentiment measurements. Self Supported learning is used to quantify reputation risk by progress...
详细信息
ISBN:
(纸本)9783031777301;9783031777318
We present a quantitative definition of reputation risk, formulated in terms of a reputation time series comprising daily sentiment measurements. Self Supported learning is used to quantify reputation risk by progressively refining an initial proposal for a Minimum Acceptable Sentiment, calculated from descriptive statistics of the reputation data. the derived values are validated using a "sense test" based on a Loess quantile. the results show that the Minimum Acceptable Sentiment value is given approximately by a two standard deviation lower tail of the observed data.
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