Shipdesign and construction are complicated andexpensive processes. In thepre-design stage, before the construction according to some special rules, determination of the main ship parameters is very important. In this study, instead of traditional methods, the oil/chemical tanker main design parameters are estimated by 18 computational intelligence methods. Therefore, all the data of 114 tanker...

This article presents a computational model of the visual strategies involved in processing textual material. An experiment is presented in which participants performed different tasks on a multi-paragraph page (searching a target word, searching the most relevant paragraph according to a goal, memorizing paragraphs). The proposed model predicts eye movements based on 5 parameters. The weightin...

The role of aneuploidy (the cellular state of having an abnormal number of chromosomes) in cancer is not well understood. A recent theory suggests that aneuploidy may be an initial step towards the generation of variation in cancer. This theory however is very difficult to test in biological experiments. To address this theory and explore the role that aneuploidy has on the development of cance...

We propose a 3D computational model for projective relations which is used in an integrated image and speech understanding system. The image and speech understanding system is being developed within a joint research project focusing on both technical and cognitive aspects of humancomputer interaction. Psychological experiments have been carried out to evaluate our computational model as an appr...

The choice of how much money and resources to spend to understand certain problems is of high interest in many areas. This work illustrates how computational models can be more tightly coupled with experiments to generate decision data at lower cost without reducing the quality of the decision. Several different strategies are explored to illustrate the trade off between lowering costs and qual...

Using a computational model of verb argument structure learning, we study a key assumption of the usage-based theory: that the acquisition of a construction relies heavily on the existence of a high-frequency exemplar verb that accounts for a large proportion of usages of that construction in the input. Importantly, unlike the psycholinguistic experiments that focus on the learning of an artifi...

Humor is one of the most interesting and puzzling aspects of human behavior. Despite the attention it has received in fields such as philosophy, linguistics, and psychology, there have been only few attempts to create computational models for humor recognition or generation. In this article, we bring empirical evidence that computational approaches can be successfully applied to the task of hum...

Event detection has been an important task for a long time. When it comes to Twitter, new problems are presented. Twitter data is a huge temporal data flow with much noise and various kinds of topics. Traditional sophisticated methods with a high computational complexity aren’t designed to handle such data flow efficiently. In this paper, we propose a mixture Gaussian model for bursty word extr...

With the aim of supporting maternal care we propose new computational models for analyzing selfreported emotional diary texts of pregnant women. Based on experimentally gathered affective rating measures outside clinical setting we developed new models to facilitate interpretation and communication of affective expressions between persons representing different affectivity rating systems. We ga...