Progress in Artificial Intelligence

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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
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
A multi-agent-based algorithm for data clustering
Progress in Artificial Intelligence - - 2020
Lutiele M. Godois, Diana Francisca Adamatti, Leonardo Ramos Emmendorfer
Unbalanced linguistic approach for venture investment evaluation with risk attitudes
Progress in Artificial Intelligence - Tập 3 - Trang 1-13 - 2014
Cong-Cong Li, Yucheng Dong
In real-world decision problems, experts often feel more comfortable providing their knowledge and preferences via a linguistic way. In the venture investment evaluation, the venture capitalists are more sensitive to the high risk (or income) terms in the used linguistic term set. In other words, the unbalanced linguistic term sets are often used in venture investment evaluations. In this paper we...... hiện toàn bộ
Lightweight trusted routing for wireless sensor networks
Progress in Artificial Intelligence - Tập 1 - Trang 193-202 - 2012
Laurent Vercouter, Jean-Paul Jamont
Communication in ad hoc network, such as wireless sensor networks (WSN), needs the use of decentralized routing algorithms requiring that several sensors behave in an expected way. This introduces vulnerabilities as the global issue of decentralized tasks depends on local behaviors and is compromised in case of failures or malicious intrusions. We propose here an adaptation of a routing protocol f...... hiện toàn bộ
An unsupervised keyphrase extraction model by incorporating structural and semantic information
Progress in Artificial Intelligence - - 2020
Linkai Luo, Longmin Zhang, Hong Peng
An adapted incremental graded multi-label classification model for recommendation systems
Progress in Artificial Intelligence - Tập 7 - Trang 15-29 - 2017
Khalil Laghmari, Christophe Marsala, Mohammed Ramdani
Graded multi-label classification (GMLC) is the task of assigning to each data a set of relevant labels with corresponding membership grades. This paper is interested in GMLC for large and evolving datasets where data are collected from a possibly infinite stream. Many commercial and non-commercial websites acquire such data by giving users the opportunity to rank items any time using an ordinal s...... hiện toàn bộ
Fuzzy sets across the natural language generation pipeline
Progress in Artificial Intelligence - Tập 5 - Trang 261-276 - 2016
A. Ramos-Soto, A. Bugarín, S. Barro
We explore the implications of using fuzzy techniques (mainly those commonly used in the linguistic description/summarization of data discipline) from a natural language generation perspective. For this, we provide an extensive discussion of some general convergence points and an exploration of the relationship between the different tasks involved in the standard natural language generation system...... hiện toàn bộ
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