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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Describing and learning of related parts based on latent structural model in big data
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Local voting based multi-view embedding
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Locality sensitive batch feature extraction for high-dimensional data
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A multi-task model for simultaneous face identification and facial expression recognition
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Unsupervised discriminant canonical correlation analysis based on spectral clustering
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Tracking control for polynomial fuzzy networked systems with repeated scalar nonlinearities
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Polar support vector machine: Single and multiple outputs
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Impulsive coordination of nonlinear multi-agent systems with multiple leaders and stochastic disturbance
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Synchronization of switched complex dynamical networks with non-synchronized subnetworks and stochastic disturbances
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Exploring multiple evidence to infer users’ location in Twitter
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No reference image quality assessment using sparse feature representation in two dimensions spatial correlation
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Low-rank image tag completion with dual reconstruction structure preserved
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Cluster trees of improved trajectories for action recognition
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A comparative study of video-based object recognition from an egocentric viewpoint
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A novel features ranking metric with application to scalable visual and bioinformatics data classification
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General subspace constrained non-negative matrix factorization for data representation
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Visual search reranking with RElevant Local Discriminant Analysis
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A novel dimensionality reduction method with discriminative generalized eigen-decomposition
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An improved Fisher discriminant vector employing updated between-scatter matrix
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Two-hidden-layer extreme learning machine for regression and classification
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Robust passivity analysis for neutral-type neural networks with mixed and leakage delays
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Parameter inference of general nonlinear dynamical models of gene regulatory networks from small and noisy time series
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Stochastic stability of nonlinear discrete-time Markovian jump systems with time-varying delay and partially unknown transition rates
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Dynamical group consensus of heterogenous multi-agent systems with input time delays
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Passivity-based stabilization and passive synchronization of complex nonlinear networks
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Modeling semantic compositionality of relational patterns
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Bilateral teleoperation with delayed force feedback using time domain passivity controller
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Adaptive control algorithm of flexible robotic gripper by extreme learning machine
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Improving multimodal data fusion for mobile robots by trajectory smoothing
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Least square neural network model of the crude oil blending process
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A belief rule based expert system for predicting consumer preference in new product development
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Optimization of cluster-based evolutionary undersampling for the artificial neural networks in corporate bankruptcy prediction
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Sliding window-based support vector regression for predicting micrometeorological data
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Laplace Beltrami eigen value based classification of normal and Alzheimer MR images using parametric and non-parametric classifiers
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Literary writing style recognition via a minimal spanning tree-based approach
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Large-scale recommender system with compact latent factor model
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RASON: A new approach to the scheduling radiotherapy problem that considers the current waiting times
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System vulnerability assessment and critical nodes identification
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Saliency detection based on global and local short-term sparse representation
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A self-adaptive intelligence grey predictive model with alterable structure and its application
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Discriminant sparse label-sensitive embedding: Application to image-based face pose estimation
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Evolutionary identification of hidden chaotic attractors
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Flight deck crew reserve: From data to forecasting
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Social cognition, artefacts, and stigmergy revisited: Concepts of coordination
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Medical image fusion by combining parallel features on multi-scale local extrema scheme
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Several inequalities for the pan-integral
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Atoms of monotone set-valued measures and integrals
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Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithm
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Analysis of correlation between pediatric asthma exacerbation and exposure to pollutant mixtures with association rule mining
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A novel human–manipulators interface using hybrid sensors with Kalman filter and particle filter
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Shape constrained risk-neutral density estimation by support vector regression
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Financial credit analysis via a clustering weightless neural classifier
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A weight-incorporated similarity-based clustering ensemble method based on swarm intelligence
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Paired structures in knowledge representation
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The aggregation of multiple three-way decision spaces
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The connections between three-way and classical concept lattices
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Design of a fault tolerated intelligent control system for load following operation in a nuclear power plant
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Optimal reconfiguration of electrical distribution systems considering reliability indices improvement
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A state estimation approach for fault location in transmission lines considering data acquisition errors and non-synchronized records
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A parallel computing approach for integrated security assessment of power system
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Considering risk of cascading line outages in transmission expansion planning by benefit/cost analysis
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A knowledge based decision support algorithm for power transmission system vulnerability impact reduction
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Optimal capacitor placement in distorted distribution networks with different load models using Penalty Free Genetic Algorithm
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Dynamic surface error constrained adaptive fuzzy output feedback control for switched nonlinear systems with unknown dead zone
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Stratification, target set reachability and incremental enlargement principle
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Learning Persian grammar with the aid of an intelligent feedback generator
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Pattern recognition in multivariate time series – A case study applied to fault detection in a gas turbine
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A population-based algorithm for the bi-objective assembly line worker assignment and balancing problem
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Development of engagement evaluation method and learning mechanism in an engagement enhancing rehabilitation system
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Multistage data selection-based unsupervised speaker adaptation for personalized speech emotion recognition
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Nonlinear control of a boost converter using a robust regression based reinforcement learning algorithm
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An automatic system for humanoid dance creation
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The feature selection bias problem in relation to high-dimensional gene data
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Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer
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Detecting borderline infection in an automated monitoring system for healthcare-associated infection using fuzzy logic
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Robust stability analysis for discrete-time neural networks with time-varying leakage delays and random parameter uncertainties
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Quadratic separation framework for stability analysis of a class of systems with time delays
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Hierarchical frame based spatial–temporal recovery for video compressive sensing coding
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Distributed image understanding with semantic dictionary and semantic expansion
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Extreme learning machine for time sequence classification
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An algorithm for classification over uncertain data based on extreme learning machine
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Incremental regularized extreme learning machine and it׳s enhancement
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Exploiting machine learning techniques for location recognition and prediction with smartphone logs
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Stability and bifurcation analysis of two-neuron network with discrete and distributed delays
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Hybrid dual-tree complex wavelet transform and support vector machine for digital multi-focus image fusion
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Observer-based consensus of second-order multi-agent systems without velocity measurements
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An improved density peaks-based clustering method for social circle discovery in social networks
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Distributed containment output-feedback control for a general class of stochastic nonlinear multi-agent systems
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Algorithms and everyday life
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Global exponential stability of complex-valued neural networks with both time-varying delays and impulsive effects
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Learning for an aesthetic model for estimating the traffic state in the traffic video
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Event-based large scale surveillance video summarization
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A Riemannian rank-adaptive method for low-rank optimization
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A minimal Munsell value error based laser printer model
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An accurate and practical calibration method for roadside camera using two vanishing points
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Brain MRI image segmentation based on learning local variational Gaussian mixture models
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Adaptive structured sub-blocks tracking
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Get into the spirit of a location by mining user-generated travelogues
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Pairwise probabilistic matrix factorization for implicit feedback collaborative filtering
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Flickr group recommendation using rich social media information
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