APPLIED ARTIFICIAL INTELLIGENCE
APPLIED ARTIFICIAL INTELLIGENCE(英文缩写 APPL ARTIF INTELL),ISSN 0883-9514,eISSN 1087-6545 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-09-21 至 2026-09-21，按本站收录文献的发表日期统计。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 2.777 | Q2 |
| 2022 | 2.800 | Q2 |
| 2023 | 2.900 | Q2 |
| 2024 | 4.300 | Q2 |
| 2025 | 4.000 | Q2 |
APPLIED ARTIFICIAL INTELLIGENCE 最新收录文献
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1. Improving LIME Stability via Density-Awareness: Evaluation and Comparison of AKDE-LIME.
PMID:作者:日期:2026-01-01This paper addresses the critical instability of Local Interpretable Model-agnostic Explanations (LIME). We introduce Adaptive Kernel Density Estimation LIME (AKDE-LIME), a novel approach that enhances local explanation stability by incorporating a density-aware weighting scheme. Unlike LIME's stand…
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2. A Pipeline for Automating Emergency Medicine Documentation Using LLMs with Retrieval-Augmented Text Generation.
PMID:作者:日期:2025-01-01Accurate and efficient documentation of patient information is vital in emergency healthcare settings. Traditional manual documentation methods are often time-consuming and prone to errors, potentially affecting patient outcomes. Large Language Models (LLMs) offer a promising solution to enhance med…
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3. An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children's Oncology Group.
PMID:作者:日期:2020-01-01In this manuscript we analyze a data set containing information on children with Hodgkin Lymphoma (HL) enrolled on a clinical trial. Treatments received and survival status were collected together with other covariates such as demographics and clinical measurements. Our main task is to explore the p…
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4. Automatic Identification of Character Types from Film Dialogs.
PMID:作者:日期:2016-11-25We study the detection of character types from fictional dialog texts such as screenplays. As approaches based on the analysis of utterances' linguistic properties are not sufficient to identify all fictional character types, we develop an integrative approach that complements linguistic analysis wi…
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5. Robust Feature Selection Technique using Rank Aggregation.
PMID:作者:日期:2014-01-01Although feature selection is a well-developed research area, there is an ongoing need to develop methods to make classifiers more efficient. One important challenge is the lack of a universal feature selection technique which produces similar outcomes with all types of classifiers. This is because …
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6. Maintaining Engagement in Long-term Interventions with Relational Agents.
PMID:作者:日期:2010-07-01We discuss issues in designing virtual humans for applications which require long-term voluntary use, and the problem of maintaining engagement with users over time. Concepts and theories related to engagement from a variety of disciplines are reviewed. We describe a platform for conducting studies …