Uncertain distance-based outlier detection with arbitrarily shaped data objects
A survey on data fusion: what for? in what form? what is next?
Community detection in complex networks using network embedding and gravitational search algorithm
A survey of Big Data dimensions vs Social Networks analysis
An enhanced opinion retrieval approach via implicit feature identification
Financial markets sentiment analysis: developing a specialized Lexicon
CAESAR: context-aware explanation based on supervised attention for service recommendations
Recommender systems in the healthcare domain: state-of-the-art and research issues
SI: methodologies for intelligent systems
Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets
Interpretable segmentation of medical free-text records based on word embeddings
Towards psychology-aware preference construction in recommender systems: Overview and research issues
Explanations for over-constrained problems using QuickXPlain with speculative executions
Issues in clustering algorithm consistency in fixed dimensional spaces. Some solutions for k-means
Music emotion recognition using recurrent neural networks and pretrained models
Performing arithmetic using a neural network trained on images of digit permutation pairs
Making design decisions under uncertainties: probabilistic reasoning and robust product design
How to raise artwork prices using action rules, personalization and artwork visual features
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis
Compact representations for efficient storage of semantic sensor data
Addressing the complexity of personalized, context-aware and health-aware food recommendations: an ensemble topic modelling based approach
Selecting the most helpful answers in online health question answering communities
A novel deep recommend model based on rating matrix and item attributes
Smart integration of sensors, computer vision and knowledge representation for intelligent monitoring and verbal human-computer interaction
UTLDR: an agent-based framework for modeling infectious diseases and public interventions
Mining emotion-aware sequential rules at user-level from micro-blogs
Depression detection from sMRI and rs-fMRI images using machine learning
