Progress in Artificial Intelligence
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predtoolsTS: R package for streamlining time series forecasting
Progress in Artificial Intelligence - - 2019
Exploring the association between mobility behaviours and academic performances of students: a context-aware traj-graph (CTG) analysis
Progress in Artificial Intelligence - Tập 7 - Trang 307-326 - 2018
Analysing the mobility traces of moving agents (mobile users, GPS-equipped
vehicles, CDRs, etc.) may help in interpreting the “human interests and
intentions” behind the movements and thus facilitates diverse range of
location-based applications. The trajectory analysis uncovers the connections,
correlations and differences among individuals and their activities by exploring
their mobility attribu...
Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering
Progress in Artificial Intelligence - Tập 8 - Trang 389-399 - 2019
The main goal of this article is to improve the results obtained by the GLAD
algorithm in cases with large data. This algorithm is able to learn from
instances labeled by multiple annotators taking into account both the quality of
the annotators and the difficulty of the instances. Despite its many advantages,
this study shows that GLAD does not scale well when dealing with large number of
instanc...
The role of non-intrusive approaches in the development of people-aware systems
Progress in Artificial Intelligence - Tập 5 - Trang 215-220 - 2016
There is currently a significant interest in consumer electronics in
applications and devices that monitor and improve the user’s well-being. This is
one of the key aspects in the development of ambient intelligence systems.
Nonetheless, existing approaches are generally based on physiological sensors,
which are intrusive and cannot be realistically used, especially in ambient
intelligence in whic...
SocialLink: exploiting graph embeddings to link DBpedia entities to Twitter profiles
Progress in Artificial Intelligence - Tập 7 - Trang 251-272 - 2018
SocialLink is a project designed to match social media profiles on Twitter to
corresponding entities in DBpedia. Built to bridge the vibrant Twitter social
media world and the Linked Open Data cloud, SocialLink enables knowledge
transfer between the two, both assisting Semantic Web practitioners in better
harvesting the vast amounts of information available on Twitter and allowing
leveraging of DB...
Feature recommendation for structural equation model discovery in process mining
Progress in Artificial Intelligence - - Trang 1-25 - 2022
Process mining techniques can help organizations to improve their operational
processes. Organizations can benefit from process mining techniques in finding
and amending the root causes of performance or compliance problems. Considering
the volume of the data and the number of features captured by the information
system of today’s companies, the task of discovering the set of features that
should ...
A survey on the vulnerability of deep neural networks against adversarial attacks
Progress in Artificial Intelligence - Tập 11 - Trang 131-141 - 2022
With the advancement of accelerated hardware in recent years, there has been a
surge in the development and application of intelligent systems. Deep learning
systems, in particular, have shown exciting results in a wide range of tasks:
classification, detection, and recognition. Despite these remarkable
achievements, there remains an active area critical for the safety of those
systems. Deep learn...
A comparative analysis of multi-criteria decision-making methods
Progress in Artificial Intelligence - Tập 5 - Trang 315-322 - 2016
In this work, we empirically compare the rankings produced by several
multi-criteria decision-making methods. We analyzed multi-MOORA, TOPSIS and
three different settings for VIKOR. Using decision matrices with different
number of alternatives and criteria, we compared the rankings produced using the
Spearman’s correlation coefficient index. Our results showed that VIKOR could
fail to obtain a ran...
A novel multi-criteria decision analysis technique incorporating demanding essential characteristics of existing MCDA techniques
Progress in Artificial Intelligence - Tập 12 - Trang 231-255 - 2023
This paper has proposed a novel multi-criteria decision analysis (MCDA)
technique that considers relationships among the criteria, relationships among
the alternatives, relationships among the criteria and the alternatives, the
uncertainty or dilemma that the decision makers face in their decision-making,
the entropy among the criteria. These characteristics are the essential
characteristics of va...
Fuzzy shape grammars
Progress in Artificial Intelligence - Tập 5 - Trang 47-53 - 2015
This paper shows some fuzzy generalizations of the concepts of derivation and
computation with shape grammars. Fuzzy definitions are provided for both rule
application and shape matching. The paper also describes a software prototype
developed to test these ideas.
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