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Progress in Artificial Intelligence

Progress in Artificial Intelligence OnlineFirst articles

18.10.2021 | Regular Paper

Semi-causal decision trees

Typically, classification algorithms use correlation analysis to make decisions. However, these decisions and the models they learn are not easily understandable for the typical user. Causal discovery is the field that studies the means to find …

29.09.2021 | Regular Paper

Interpretable entity meta-alignment in knowledge graphs using penalized regression: a case study in the biomedical domain

In recent times, the use of knowledge graphs has been massively adopted so that many of these graphs can even be found publicly on the Web. This makes that solutions for solving interoperability problems among them might be in high demand. The …

13.09.2021 | Regular Paper

Analysis of the teaching quality using novel deep learning-based intelligent classroom teaching framework

Ideological is an adjective that defines theological, political and cultural views. An ideology is a bunch of ideas, and those with an ideological stand follow the main idea. The demanding characteristics of college ideological and political …

12.09.2021 | Regular Paper

Improving link prediction in social networks using local and global features: a clustering-based approach

Link prediction problem has increasingly become prominent in many domains such as social network analyses, bioinformatics experiments, transportation networks, criminal investigations and so forth. A variety of techniques has been developed for …

03.09.2021 | Regular Paper

Feature recognition of student using heuristic political effective evaluation reinforcement learning algorithm

The accomplishments of the students are reflected by ideological and political emotions within the school. A major factor is the risk factors in the lack of team cohesion in the ideological and political schools, the expansion of the environmental …

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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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