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This work presents the design and development of a web-based system that supports cross-language similarity analysis and plagiarism detection. A suspicious document dq in a language Lq is to be submitted to the system via a PHP web-based interface. The system will accept the text through either uploading or pasting it directly to a text-area. In order to lighten large texts and provide an ideal set...
Defining a boundary between inliers and outliers is a major challenge in unsupervised outlier detection. In the absence of labeled data, the true outliers set cannot be evaluated. This lays the burden on both the choice of an efficient outlier detection criterion, and parameter selection. While numerous unsupervised outlier detection criteria, with different parameters, have been proposed, an unsupervised...
The selection of a particular neural network model belonging to the Pareto front is a problem that exists in all multi-objective algorithms. This paper proposes a novel solution to this problem based on a linear combination of the outputs of the two extremes in the Pareto front, which form an ensemble. The decision support TOPSIS method is used to determine which linear combination creates the best...
This paper presents the interactive web interface for inquiring about the long-term care insurance system in Japan. In Japan, health care services provided by the long-term care insurance system takes costs depending on the health care level. Although the system has been revised several times, such revision made the system more complex, so that a web-based system by which every people can accurately...
In this study, we present the Big Bang-Big Crunch (BB-BC) method to solve the post-enrolment course timetabling problem. This method is derived from one of the evolution of the universe theories in physics and astronomy. The BB-BC theory involves two phases (Big Bang and Big Crunch). The Big Bang phase feeds the Big Crunch phase with many inputs and the Big Crunch phase is the shrinking destiny of...
The lack of a software tool to automate the creation of a well-defined, Natural Language Software Requirements Specification (SRS) document is an obstacle to the process of efficient Requirements Engineering (RE). This paper provides an overview of a methodology and a novel software tool that attempt to formalize and automate the RE process, and it expands on the use of the SRS Documentation component...
In this paper we will present an account of the phenomenon of split-ergativity in using the theory of phases (i.e. syntactic domains, also understood as computational units) on the one hand and the mechanism of feature inheritance on the other. Precisely, we will argue that each phase heads (i.e. the head of the phrase that projects its category, in this case: C and v) carry specific uninterpretable...
We argue that pronominal anaphora understanding must rely on the recovery of argument structure asymmetries in conjunction with principles restricting the set of possible antecedents for pronouns. We provide empirical evidence for the need of deep parsing recovering arguments, both overt and covert, that can be possible antecedents for pronouns. We identify several limits of systems that do not rely...
This paper will focus on certain disconnected oppositions between Brazilian Portuguese (BP) and European Portuguese (EP). Assuming these oppositions are the result of absence of I to C movement in BP, our goal is to discover what property is implied in the process and how we can derive such phenomena through the computational system.
In the scope of Financial Watch project, several targeted events have been required by contacted users in banking and investment domains. Financial news are classified with respect of the list of desired events. In this paper, a conceptual approach for indexing short English news in the financial domain is presented. By using a supervised original learning approach, a categorization method is proposed...
Research in systems biology integrates experimental, theoretical, and modeling techniques to study and understand biological processes such as gene regulation. The genomic sequences for human and other model organisms such as yeast and bacteria are already established. The next major step is to discover functional roles of genes whose functions are not yet discovered and to investigate how genes interact...
Use of unmanned Aerial Vehicles (UAVs) has gained significant importance in the recent years because of their ability to remotely monitor and perform various tasks in an autonomous manner. However, the control unit of such UAVs fails to adapt quickly when the UAVs are exposed to unpredictable and violent external disturbances such as violent wind gusts and extreme weather conditions. The cost of such...
The Multi-agents computing paradigm offers support for large scale, widely distributed, high-performance computational systems. Several of such architectures and frameworks have been developed aimed at primarily computations in support of scientific, engineering calculations and managements. On the other hand agent software provides a number of issues including; autonomous, integrity, flexibility,...
Sufficient test coverage for Software Agents that operate in an open and dynamic environment is unlikely to be achieved during the agents' development. Especially when agents exhibit self properties and are constantly adapting to changes in their environment it is important to limit their autonomy to ensure that their behaviour lies within safe boundaries. To increase the trust in the agents, once...
This paper considers the problem of the definition of adaptation strategies at a high level. It presents two main contributions: a typology of elementary adaptation patterns for the adaptation of navigation; and a process to generate adaptation strategies based on the use and the semi-automatic combination of patterns. An experiment in the e-learning domain has been conducted with a group of volunteers...
The classification of imbalanced data is a well-studied topic in data mining. However, there is still a lack of understanding of the factors that make the problem difficult. In this work, we study the two main reasons that make the classification of imbalanced datasets complex: overlapping and data fracture. We present a Genetic Programming-based feature extraction method driven by Rough Set Theory...
In this paper we propose a music Query by Humming System made of two main functional blocks; the first implements a voice-to-midi transcription algorithm to process the query, the second implements a search engine based on a novel template matching technique for Dynamic Time Warping. The voice-to-midi algorithm transforms the sung or hummed query in a MIDI file by segmenting and identifying the notes'...
Classification in imbalanced domains has become one of the most relevant problems within the area of Machine Learning at the present. This problem has raised in significance due to its presence in many real applications and it occurs when the distribution of the available examples to carry out the learning process is very different between the classes (often for binary class data-sets). Usually, the...
In this paper we perform the analysis of Dempster-Shafer temporalized structure for the construction of more precise decisions based on the expert knowledge valuations. The relation of information precision is defined on the bodies of evidence. Negative inaccuracy is defined as the stream of rational expert knowledge in Dempster-Shafer temporalized structure. The principle of negative inaccuracy is...
This paper presents the symbol presentation method for Universal Design (UD). Current symbol presentations for UD focus on how to design a simple and perceptible symbol for as many users as possible. As a result, the same symbol is presented to every user and therefore some users with specific attributes (e.g., color-blindness, cultural or physical conditions) can not perceive the symbol appropriately...
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