A link prediction algorithm based on low-rank matrix completion
KNN-based least squares twin support vector machine for pattern classification
Unlabeled PCA-shuffling initialization for convolutional neural networks
Supervised methods for regrouping attributes in fuzzy rule-based classification systems
Some new operations on single-valued neutrosophic matrices and their applications in multi-criteria group decision making
Feature selection considering weighted relevancy
Reduction of the uncertainty in feature tracking
Gradient-based adaptive particle swarm optimizer with improved extremal optimization
The efficiency of the NSHPZ-HMM: theoretical and practical study
Magic barrier estimation models for recommended systems under normal distribution
An efficient algorithm for mining periodic high-utility sequential patterns
Faster learning by reduction of data access time
Effective hate-speech detection in Twitter data using recurrent neural networks
K-means properties on six clustering benchmark datasets
Boosting an evolution strategy with a preprocessing step: application to group scheduling problem in directional sensor networks
A new framework for metaheuristic-based frequent itemset mining
An optimized hybrid algorithm in term of energy and performance for mapping real time workloads on 2d based on-chip networks
Applying temporal dependence to detect changes in streaming data
On enhancing serial fusion based multi-biometric verification system
Dynamic behavior of a class of neutral-type neural networks with discontinuous activations and time-varying delays
Active contours driven by non-local Gaussian distribution fitting energy for image segmentation
Some hybrid weighted aggregation operators under neutrosophic set environment and their applications to multicriteria decision-making
Asynchronous reinforcement learning algorithms for solving discrete space path planning problems
Collaborative fuzzy clustering of distributed concept-drifting dynamic data using a gossip-based approach
Supervised data-dependent kernel sparsity preserving projection for image recognition
A hyper-heuristic with two guidance indicators for bi-objective mixed-shift vehicle routing problem with time windows
Geometrically modeled derivative feature descriptor aiding supervised shape retrieval
Adaptive background modeling of complex scenarios based on pixel level learning modeled with a retinotopic self-organizing map and radial basis mapping
Posterior sampling for Monte Carlo planning under uncertainty
Iterative algorithm for interactive co-segmentation using semantic information propagation
