Progress in Artificial Intelligence

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predtoolsTS: R package for streamlining time series forecasting
Progress in Artificial Intelligence - - 2019
Francisco Charte, A. Vico, María Dolores Pérez-Godoy, Antonio J. Rivera
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
Shreya Ghosh, Soumya K. Ghosh
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...... hiện toàn bộ
Scaling up the learning-from-crowds GLAD algorithm using instance-difficulty clustering
Progress in Artificial Intelligence - Tập 8 - Trang 389-399 - 2019
Enrique González Rodrigo, Juan A. Aledo, Jose A. Gamez
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...... hiện toàn bộ
The role of non-intrusive approaches in the development of people-aware systems
Progress in Artificial Intelligence - Tập 5 - Trang 215-220 - 2016
Paulo Novais, Davide Carneiro
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...... hiện toàn bộ
SocialLink: exploiting graph embeddings to link DBpedia entities to Twitter profiles
Progress in Artificial Intelligence - Tập 7 - Trang 251-272 - 2018
Yaroslav Nechaev, Francesco Corcoglioniti, Claudio Giuliano
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...... hiện toàn bộ
Feature recommendation for structural equation model discovery in process mining
Progress in Artificial Intelligence - - Trang 1-25 - 2022
Mahnaz Sadat Qafari, Wil M. P. van der Aalst
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 ...... hiện toàn bộ
A survey on the vulnerability of deep neural networks against adversarial attacks
Progress in Artificial Intelligence - Tập 11 - Trang 131-141 - 2022
Andy Michel, Sumit Kumar Jha, Rickard Ewetz
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...... hiện toàn bộ
A comparative analysis of multi-criteria decision-making methods
Progress in Artificial Intelligence - Tập 5 - Trang 315-322 - 2016
Blanca Ceballos, María Teresa Lamata, David A. Pelta
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...... hiện toàn bộ
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
Susmita Bandyopadhyay
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...... hiện toàn bộ
Fuzzy shape grammars
Progress in Artificial Intelligence - Tập 5 - Trang 47-53 - 2015
Manuela Ruiz-Montiel, José Luis Pérez-de-la-Cruz, Lawrence Mandow, Fernando López-Romero
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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