Editorial Board
Towards zero shot learning of geometry of motion streams and its application to anomaly recognition
A new portfolio selection problem in bubble condition under uncertainty: Application of Z-number theory and fuzzy neural network
Expert systems: Definitions, advantages and issues in medical field applications
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network
Active contour model driven by Self Organizing Maps for image segmentation
Multi-disease prediction using LSTM recurrent neural networks
ExEm: Expert embedding using dominating set theory with deep learning approaches
A deep learning based hybrid method for hourly solar radiation forecasting
Robust machine-learning workflow for subsurface geomechanical characterization and comparison against popular empirical correlations
Capturing dynamics of post-earnings-announcement drift using a genetic algorithm-optimized XGBoost
Deep Belief Network based audio classification for construction sites monitoring
Model checking agent-based communities against uncertain group commitments and knowledge
Dynamic sine cosine algorithm for large-scale global optimization problems
Interpretable collaborative data analysis on distributed data
Denoising distant supervision for ontology lexicalization using semantic similarity measures
Trading support system for portfolio construction using wisdom of artificial crowds and evolutionary computation
A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions
WiFiNet: WiFi-based indoor localisation using CNNs
Towards online applications of EEG biometrics using visual evoked potentials
Reliability prediction-based improved dynamic weight particle swarm optimization and back propagation neural network in engineering systems
Neural ordinary differential grey model and its applications
An overlapping clustering approach for precision, diversity and novelty-aware recommendations
A non-factoid question answering system for prior art search
Value-at-risk backtesting: Beyond the empirical failure rate
Biometric keystroke barcoding: A next-gen authentication framework
Dynamic based trajectory estimation and tracking in an uncertain environment
Text data augmentations: Permutation, antonyms and negation
Applications and Research avenues for drone-based models in logistics: A classification and review
Soft target and functional complexity reduction: A hybrid regularization method for genetic programming
Cross-efficiency evaluation and decomposition with directional distance function in series and parallel systems
A corrected and improved symbiotic organisms search algorithm for continuous optimization
Deep convolutional features for image retrieval
A unified framework for effective team formation in social networks
Multi-modal generative adversarial networks for traffic event detection in smart cities
On the spectrum of achievable targets in cross-efficiency evaluation and the associated secondary goal models
Vehicle operating state anomaly detection and results virtual reality interpretation
A Hierarchical Memory Network for Knowledge Tracing
Application of active learning in DNA microarray data for cancerous gene identification
A continuous-state cellular automata algorithm for global optimization
Flexible runtime support of business processes under rolling planning horizons
Simulation-based optimisation of the timing of loan recovery across different portfolios
New robust method for image copyright protection using histogram features and Sine Cosine Algorithm
Effective link prediction in multiplex networks: A TOPSIS method
Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic
Providing music service in Ambient Intelligence: experiments with gym users
Dynamic multi-period sparse portfolio selection model with asymmetric investors’ sentiments
Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition
The balanced dispatching problem in passengers transport services on demand
Identifying meaningful clusters in malware data
Improved grey system models for predicting traffic parameters
Data-driven early fault diagnostic methodology of permanent magnet synchronous motor
A temporal ensembling based semi-supervised ConvNet for the detection of fake news articles
MFSR: A novel multi-level fuzzy similarity measure for recommender systems
Calculation of gamma-ray exposure buildup factor based on backpropagation neural network
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm
A brain-inspired information processing algorithm and its application in text classification
A multi-perspective approach for the analysis of complex business processes behavior
Feature discovery in NIR spectroscopy based Rocha pear classification
Joint extraction of entities and overlapping relations using source-target entity labeling
