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The topic of the track covers an important field of research in Artificial Intelligence: KRR is indeed a trending topic (for instance, its Argumentation-theory subfield). A similar dedicated conference is the International Conference on Principles of ...

Many problems in software systems can ultimately be traced to problematic system requirements. To mitigate this problem, some systems builders have adopted a more systematic approach to requirements elicitation and analysis. However, many of these ...

[<u>Context/Motivation</u>] Decision-making for self-adaptive systems (SAS) requires the runtime trade-off of multiple non-functional requirements (NFRs) and the costs-benefits analysis of the alternative solutions. Usually, it is required the ...

Segmentation of medical images is a critical issue: several process of analysis and classification rely on this segmentation. With the growing number of people presenting back pain and problems related to it, the automatic or semi-automatic segmentation ...

This article focusses on how belief change operations could model forgetting and remembering. Inspired by psychological findings, it is proposed that forgetting could be understood as an operation of memory decay. Remembering is then an operation which ...

Mortality prediction is a critical task for assessing patients' conditions in Intensive Care Units (ICU) of hospitals to improve decision-making and quality of care. Measurements taken and recorded at different time points are the main source of ...

Visual Analytics allows analysts to process large amounts of data for understanding and decision making. The analytical thinking, domain knowledge and experience of the analysts are major contributing factors during the Sensemaking process. Analytical ...

Imperfection may affect the real world application performance in wireless sensor domain. Therefore, in this article, positions, communication and monitoring radii, as well as energy reserve are, in this article, considered as an uncertain criteria and ...

The problem of predicting people's participation in real-world events has received considerable attention as it offers valuable insights for human behavior analysis and event-related advertisement. Today social networks (e.g. Twitter) widely reflect ...

Social media are providing the humus for the sharing of knowledge and experiences and the growth of community activities (e.g., debating about different topics). The analysis of the user-generated content in this area usually relies on Sentiment ...

In this paper, we present a tool for analyzing spatio-temporal distribution of social anxiety. Twitter, one of the most popular social network services, has been chosen as data source for analysis of social anxiety. Tweets (posted on the Twitter) ...

In the search for matching jobs, more and more people rely on online services such as job search engines. Job search engines provide the possibilities of searching for certain keywords and maintaining domain related filters like the location or the ...

Smartphones have recently seen massive growth in usage and become a repository for many types of personal information. The privacy and security are primary concerns for their usage, where there is a need to provide seamless and continuous authentication ...

Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However, most studies consider credit card transactions as isolated events and not as a sequence of transactions.

In this article, we model a ...

Real-time object detection models based on deep learning are being studied. However, when using deep learning, the user must directly select one of the various object detection models, and the result of object detection may vary depending on the ...

We extend Reiter's temporal situation calculus by introducing continuous change due to passage of time in addition to discrete change due to actions. We define regression for hybrid action theories and show that hybrid action theories can capture hybrid ...

The food economic chain of many rivers is based on an important control of the presence of predatory fish in the water. The assessment of the predation pressure on migratory species cannot be done manually. Therefore some automatic techniques are ...

With the increasing number of interactions, social media users have been vulnerable to intentional aggressive acts and cyberbullying instances. In this paper, first, we carry out a message-level cyberbullying annotation on an Instagram dataset. Second, ...

This paper concerns personalized sentiment analysis, which aims at improving the prediction of the sentiment expressed in a piece of text by considering individualities. Mostly, this is done by relating to a person's past expressions (or opinions), ...

In this paper, we report on adapting a Natural Language Generation system to Semantic Web datasets, and on the results obtained in two triple verbalization challenges.