Artificial Intelligence Review
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Study of automatic text summarization approaches in different languages
Artificial Intelligence Review - Tập 54 - Trang 5897-5929 - 2021
Nowadays we see huge amount of information is available on both, online and offline sources. For single topic we see hundreds of articles are available, containing vast amount of information about it. It is really a difficult task to manually extract the useful information from them. To solve this problem, automatic text summarization systems are developed. Text summarization is a process of extra......
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Artificial Intelligence Review - Tập 56 - Trang 5261-5315 - 2022
Nowadays Artificial Intelligence (AI) has become a fundamental component of healthcare applications, both clinical and remote, but the best performing AI systems are often too complex to be self-explaining. Explainable AI (XAI) techniques are defined to unveil the reasoning behind the system’s predictions and decisions, and they become even more critical when dealing with sensitive and personal he......
DptOIE: a Portuguese open information extraction based on dependency analysis
Artificial Intelligence Review - Tập 56 - Trang 7015-7046 - 2022
It is estimated that more than 80% of the information on the Web is stored in textual form. As such, it has become increasingly difficult for humans to sort and extract useful information from the daily influx of data. In order to automate this process, open information extraction (OIE) methods have been proposed, which can extract facts from large textual bases. While most OIE methods were initia......
360 degree view of cross-domain opinion classification: a survey
Artificial Intelligence Review - - 2021
Deep multiagent reinforcement learning: challenges and directions
Artificial Intelligence Review - Tập 56 - Trang 5023-5056 - 2022
This paper surveys the field of deep multiagent reinforcement learning (RL). The combination of deep neural networks with RL has gained increased traction in recent years and is slowly shifting the focus from single-agent to multiagent environments. Dealing with multiple agents is inherently more complex as (a) the future rewards depend on multiple players’ joint actions and (b) the computational ......
Semi-supervised transfer discriminant analysis based on cross-domain mean constraint
Artificial Intelligence Review - Tập 49 - Trang 581-595 - 2016
In this paper, a novel semi-supervised feature extraction algorithm, i.e., semi-supervised transfer discriminant analysis (STDA) with knowledge transfer capability is proposed, based on the traditional algorithm that cannot get adapted in the change of the learning environment. By using both the pseudo label information from target domain samples and the actual label information from source domain......
Real-time control of ball balancer using neural integrated fuzzy controller
Artificial Intelligence Review - Tập 53 - Trang 351-368 - 2018
This paper presents the design, control, and validation of two degrees of freedom Ball Balancer system. The ball and plate system is a nonlinear, electromechanical, multivariable, closed-loop unstable system on which study is carried out to control the position of ball and plate angle. The model of the system is developed using MATLAB/Simulink, and neural integrated fuzzy and its hybridization wit......
An analytical review of XML association rules mining
Artificial Intelligence Review - Tập 43 - Trang 277-300 - 2013
Over the past decade, there has been increasing interest in using extensible markup language (XML) which has made it a de facto standard for representing and exchanging data over different systems and platforms (specifically the internet). Due to the popularity of XML and with increasing numbers of XML documents, the process of knowledge discovery from this type of data has found more attention. A......
From multi-view data features to clusters: a unified approach
Artificial Intelligence Review - Tập 56 - Trang 3821-3852 - 2023
Clustering data from multiple sources or views has become an important issue in real-world applications. Graph-based methods take advantage of graphs that encode the local and global structure of the data. Although graph-based methods provide good clustering performance, they need to estimate the view graphs or the consensus graph from the raw data in a separate step. Their performance may be affe......
Visual simultaneous localization and mapping: a survey
Artificial Intelligence Review - Tập 43 Số 1 - Trang 55-81 - 2015
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