Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are
growing in popularity. Their versatility and modelling power is now employed across a …

As an effective tool for the representation and reasoning of uncertain theories, Bayesian
networks are widely used in various fields of artificial intelligence. However, learning the …

Abstract In Community Question Answering (CQA) systems, when a user makes a question
query, a set of questions similar to the new one, and that have already been answered by …

Bayesian networks, which nowadays constitute the dominant approach for managing
probability within the field of Artificial Intelligence, have been applied to Information Retrieval …

Abstract Text-Based Medical Image Retrieval (TBMIR) has been known to be successful in
retrieving medical images with textual descriptions. Usually, these descriptions are very brief …

Fuzzy duplicate detection aims at identifying multiple representations of real-world objects
stored in a data source, and is a task of critical practical relevance in data cleaning, data …

This paper investigates and compares the performance of local descriptors for race
classification from face images. Two powerful types of local descriptors have been …

As access to information becomes more intensive in society, a great deal of that information
is becoming available through diverse channels. Accordingly, users require effective …

Abstract This paper presents Hybrid Particle Swarm Optimization (PSO)-Genetic Algorithm
(GA) approaches for the document clustering problem. To obtain an optimal solution using …

Background Clinical information models (CIMs) enabling semantic interoperability are
crucial for electronic health record (EHR) data use and reuse. Dual model methodology …