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Progress in Artificial Intelligence

Progress in Artificial Intelligence OnlineFirst articles

17.02.2018 | Regular Paper

Following event detection method based on human skeleton motion analysis by Kinect sensor

Detecting following events is important for intelligent video surveillance systems, especially at secure entrances. However, there is no effective approach for recognizing following actions. In this paper, we propose a novel following action …

24.01.2018 | Regular Paper

Multi-label classification from high-speed data streams with adaptive model rules and random rules

Multi-label classification is a methodology that tries to solve classification problems where multiple classes are associated with each data example. Data streams pose new challenges to this methodology caused by the massive amounts of structured …

16.01.2018 | Regular Paper

A self-adaptive evolutionary weighted extreme learning machine for binary imbalance learning

It is known that the problem of imbalanced data sets widely exists in various application fields. The weighted extreme learning machine (WELM) was proposed. It solved the $${L}_{2}$$ L 2 -regularized weighted least squares problem in order to …

15.01.2018 | Regular Paper

Improvements on twin-hypersphere support vector machine using local density information

In this paper, we propose a novel binary classifier called twin-hypersphere support vector machine with local density information (LDTHSVM). Firstly we extract local density for each training sample and treat it as the weight of that sample, next …

12.01.2018 | Regular Paper

Emerging technologies in artificial intelligence: quantum rule-based systems

This article tries to establish synergies between two areas of research and development that are apparently disconnected: artificial intelligence (AI) and quantum computing (QC). The article begins with a brief description of the origins of AI and …

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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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