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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