Progress in Artificial Intelligence

Convolutional neural network: a review of models, methodologies and applications to object detection

A review on the self and dual interactions between machine learning and optimisation

Learning similarity measures from data

Improving financial bankruptcy prediction in a highly imbalanced class distribution using oversampling and ensemble learning: a case from the Spanish market

Adaptive cooperation of multi-swarm particle swarm optimizer-based hidden Markov model

Improving transparency of deep neural inference process

User-centered fall detection using supervised, on-line learning and transfer learning

A chaotic salp swarm algorithm based on quadratic integrate and fire neural model for function optimization

Semantic textual similarity between sentences using bilingual word semantics

Multi-level diversification approach of semantic-based image retrieval results

Learning machines in Internet-delivered psychological treatment

Advanced visualization\nof Twitter data for its analysis as a communication channel in traditional companies

predtoolsTS: R package for streamlining time series forecasting

Label prediction on issue tracking systems using text mining

Query expansion based on clustering and personalized information retrieval

OCAPIS: R package for Ordinal Classification and Preprocessing in Scala

A decision-making approach where argumentation added value tackles social choice deficiencies

Dynamical memetization in coral reef optimization algorithms for optimal time series approximation

Early anticipation of driver’s maneuver in semiautonomous vehicles using deep learning

Contrasting logical sequences in multi-relational learning

Forecasting of BTC volatility: comparative study between parametric and nonparametric models

A multi-objective interactive dynamic particle swarm optimizer

WordificationMI: multi-relational data mining through multiple-instance propositionalization

A comparative study of the evolutionary many-objective algorithms

Comparing two multinomial samples using hierarchical Bayesian models

Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part II

A framework for evaluation in learning from label proportions

An unsupervised keyphrase extraction model by incorporating structural and semantic information

Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering

To recurse or not to recurse: a low-dose CT study

Improving recommender systems by encoding items and user profiles considering the order in their consumption history

Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part I