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Progress in Artificial Intelligence

Progress in Artificial Intelligence OnlineFirst articles

15.05.2018 | Short Communication

A common framework for learning causality

Causality is a fundamental part of reasoning to model the physics of an application domain, to understand the behaviour of an agent or to identify the relationship between two entities. Causality occurs when an action is taken and may also occur …

02.05.2018 | Regular Paper

Emergent face orientation recognition with internal neurons of the developmental network

Estimation of face orientation has been a topic of intense research in the recent past. Most of the prior face orientation methods use symbolic methods or handcrafted internal representations which are not sufficiently brain based. An emergent …

16.04.2018 | Regular Paper

Conditional multichannel generative adversarial networks with an application to traffic signs representation learning

Generative adversarial networks (GANs) are known to produce photorealistic representations. However, we show in this study that this is only valid when the input channels come from a regular RGB camera sensor. In order to alleviate this …

31.03.2018 | Regular Paper

Gene selection and disease prediction from gene expression data using a two-stage hetero-associative memory

In general, gene expression microarrays consist of a vast number of genes and very few samples, which represents a critical challenge for disease prediction and diagnosis. This paper develops a two-stage algorithm that integrates feature selection …

30.03.2018 | Regular Paper

Application of local rules and cellular automata in representing protein translation and enhancing protein folding approximation

It is self-evident that the coarse-grained view of transcription and protein translation is a result of certain computations. Although there is no single definition of the term “computation,” protein translation can be implemented over …

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The journal is published in cooperation with the Iberian associations of artificial intelligence, AEPIA and APPIA, and the Editorial Board includes leading international figures in all related research topics.

This journal publishes top-level research results in all aspects of artificial intelligence, with a particular emphasis on the following topics: data mining; soft computing and computational intelligence; knowledge, complexity, logic, planning, reasoning and search; agents and multiagent systems; artificial vision and robotics; and natural language and Web intelligence.

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