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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Uncertain canonical correlation analysis for multi-view feature extraction from uncertain data streams
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Terrestrial laser scanning and continuous wavelet transform for controlling surface flatness in construction - A first investigation
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Cloud asset for urban flood control
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Challenges in representation learning: A report on three machine learning contests
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A distance measure between intuitionistic fuzzy belief functions
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Nearest neighbor regression in the presence of bad hubs
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Cross-domain polarity classification using a knowledge-enhanced meta-classifier
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Binary/ternary extreme learning machines
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Multi-dimensional extreme learning machine
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A new fast reduction technique based on binary nearest neighbor tree
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Optimal switching between controlled subsystems with free mode sequence
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Robust reliable H∞ control for stochastic neural networks with randomly occurring delays
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Depth map super-resolution using stereo-vision-assisted model
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Predicting stock market index using fusion of machine learning techniques
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Variable weight neural networks and their applications on material surface and epilepsy seizure phase classifications
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One-class classifier ensemble pruning and weighting with firefly algorithm
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Empirical evaluation of applying ensemble methods to ego-centred community identification in complex networks
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An incremental structured part model for object recognition
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Detection of heart murmurs based on radial wavelet neural network with Kalman learning
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Wound image evaluation with machine learning
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A discrete gradient method to enhance the numerical behaviour of Hopfield networks
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Minimal Learning Machine: A novel supervised distance-based approach for regression and classification
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Salient environmental sound detection framework for machine awareness
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Network traffic classification via non-convex multi-task feature learning
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A novel model predictive control scheme based on bees algorithm in a class of nonlinear systems: Application to a three tank system
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A new methodology for multi-objective multidisciplinary design optimization problems based on game theory
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A decomposition algorithm of fuzzy Petri net using an index function and incidence matrix
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An enhanced noise resilient K-associated graph classifier
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Intelligent road adaptive suspension system design using an experts' based hybrid genetic algorithm
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A highly accurate firefly based algorithm for heart disease prediction
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What, Where and How? Introducing pose manifolds for industrial object manipulation
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The role of idioms in sentiment analysis
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The continuous Berth Allocation Problem in a container terminal with multiple quays
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Train routing in shunting yards using Answer Set Programming
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Context-adaptive Petri nets: Supporting adaptation for the execution context
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A multi-agent based optimization method applied to the quadratic assignment problem
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Assessing brain activations associated with emotional regulation during virtual reality mood induction procedures
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Constraint-activated differential evolution for constrained min-max optimization problems: Theory and methodology
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Image tag-ranking via pairwise supervision based semi-supervised model
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Knowledge management capabilities and firm performance: A test of universalistic, contingency and complementarity perspectives
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A multi-label classification based approach for sentiment classification
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Consumerized and peer-tutored service composition
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Selection of Support Vector Machines based classifiers for credit risk domain
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Multi-objective optimisation of machine tool error mapping using automated planning
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Hybrid multiple attribute group decision-making for power system restoration
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Improving matrix factorization recommendations for examples in cold start
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Example-dependent cost-sensitive decision trees
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Latent space robust subspace segmentation based on low-rank and locality constraints
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An expert system for assessing the technical and economic risk of pipe rehabilitation options
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An improved genetic algorithm based approach to solve constrained knapsack problem in fuzzy environment
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A new approach to particle swarm optimization algorithm
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Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition
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Classification of countries’ progress toward a knowledge economy based on machine learning classification techniques
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A graph based approach to inferring item weights for pattern mining
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Dynamic pricing policies for interdependent perishable products or services using reinforcement learning
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Solving the winner determination problem via a weighted maximum clique heuristic
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Sparse multi-stage regularized feature learning for robust face recognition
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Stock trading rule discovery with an evolutionary trend following model
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A framework for validating the merit of properties that predict the influence of a twitter user
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Parameter tuning for document image binarization using a racing algorithm
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Association rule mining with mostly associated sequential patterns
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Pruning strategies for mining high utility itemsets
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Anomaly detection using a modified kernel-based tracking in the pantograph–catenary system
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A load balancing module for post-emergency management
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Design and application of augmented reality query-answering system in mobile phone information navigation
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Hybrid prediction model with missing value imputation for medical data
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Development of electroencephalographic pattern classifiers for real and imaginary thumb and index finger movements of one hand
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A systems approach to healthcare: Agent-based modeling, community mental health, and population well-being
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Solving challenges in inter- and trans-disciplinary working teams: Lessons from the surgical technology field
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Sentiment analysis in medical settings: New opportunities and challenges
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Learning from healthy and stable eyes: A new approach for detection of glaucomatous progression
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Cardiac magnetic resonance image-based classification of the risk of arrhythmias in post-myocardial infarction patients
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Parametric shape modification and application in a morphological biomimetic design
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A new method for expiration code detection and recognition using gabor features based collaborative representation
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Formulation and analysis of dynamic supply chain of backfill in construction waste management using agent-based modeling
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Reservoir based learning network for control of two-area power system with variable renewable generation
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A new data-driven neural fuzzy system with collaborative fuzzy clustering mechanism
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Kernel flexible manifold embedding for pattern classification
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Forecasting exchange rate using deep belief networks and conjugate gradient method
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A comprehensive structural-based similarity measure in directed graphs
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Forecasting stock market indexes using principle component analysis and stochastic time effective neural networks
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Efficient multi-currency classification of CIS banknotes
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An online trained fuzzy neural network controller to improve stability of power systems
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Extraction of vessel networks based on multiview projection and phase field model
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Model-based low bit-rate video coding for resource-deficient wireless visual communication
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Adaptive fuzzy finite-time control for a class of switched nonlinear systems with unknown control coefficients
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Analysis of multiple quasi-periodic orbits in recurrent neural networks
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Periodic solution for state-dependent impulsive shunting inhibitory CNNs with time-varying delays
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Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers
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A framework for classification of non-linear loads in smart grids using Artificial Neural Networks and Multi-Agent Systems
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Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis
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A wavelet-based method for extracting intermittent discontinuities observed in human motor behavior
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Multilingual part-of-speech tagging with weightless neural networks
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Designing a deep brain stimulator to suppress pathological neuronal synchrony
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Convergence and attractivity of memristor-based cellular neural networks with time delays
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Construction and evaluation of an integrated dynamical model of visual motion perception
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Budget constrained non-monotonic feature selection
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Regarding the rankings of optimization heuristics based on artificially-constructed benchmark functions
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An approach to cluster separability in a partition
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Optimization of teacher volunteer transferring problems using greedy genetic algorithms
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