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Applied Artificial Intelligence is a peer-reviewed journal published by Taylor & Francis, covering AI-based Problem Solving and Planning, Semantic Web and Ontologies, Multi-Agent Systems and Negotiation. Over its lifetime it has published 2,162 papers, which have received 44,562 citations.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Applied Artificial Intelligence 12 (3): 45–58.
Formats any DOI in Applied Artificial Intelligence style. No sign-up. |
| Publishes research in | AI-based Problem Solving and Planning Semantic Web and Ontologies Multi-Agent Systems and Negotiation Logic, Reasoning, and Knowledge Neural Networks and Applications |
| ISSN | 0883-9514 |
| Citation impact (2-yr) | 5.98 |
| h-index | 93 |
| i10-index | 903 |
| Article processing charge | $2,195 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Austrian Research Institute for Artificial Intelligence |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Several studies have invested in machine learning classifiers to protect plants from diseases by processing leaf images. Most of the proposed classifiers are trained and evaluated with small datasets, focusing on the extraction of hand-crafted features from image to classify the leaves. In this study, we have used a large dataset compared to the state-of-the…
One relevant problem in data quality is missing data. Despite the frequent occurrence and the relevance of the missing data problem, many machine learning algorithms handle missing data in a rather naive way. However, missing data treatment should be carefully treated, otherwise bias might be introduced into the knowledge induced. In this work, we analyze…
The members of electronic communities are often unrelated to each other; they may have never met and have no information on each other's reputation. This kind of information is vital in electronic commerce interactions, where the potential counterpart's reputation can be a significant factor in the negotiation strategy. Two complementary reputation mechanisms are investigated which…
Data preparation is a fundamental stage of data analysis. While a lot of low-quality information is available in various data sources and on the Web, many organizations or companies are interested in how to transform the data into cleaned forms which can be used for high-profit purposes. This goal generates an urgent need for data…
We present a probabilistic model to monitor a user's emotions and engagement during the interaction with educational games. We illustrate how our probabilistic model assesses affect by integrating evidence on both possible causes of the user's emotional arousal (i.e., the state of the interaction) and its effects (i.e., bodily expressions that are known to be…
