In this paper, we propose a preference framework for information retrieval in which the user and the system administrator are enabled to express preference annotations on search ke...
In this paper we propose a web search methodology based on the Ant Colony Optimization (ACO) algorithm, which aims to enhance the amount of the relevant information in respect to a...
Georgios Kouzas, Vassilis Kolias, Ioannis Anagnost...
Abstract Intelligent calendar assistants have many years ago attracted researchers from the areas of scheduling, machine learning and human computer interaction. However, all effor...
Abstract In the scientific literature, it is generally assumed that models can be completely established before the diagnosis analysis. However, in the actual maintenance problems,...
This paper describes an argumentation-based approach for automating the decision making process of an autonomous agent for pricing products. Product pricing usually involves differ...
We outline a method to model customer behavior from retail transaction data. In particular, we focus on the problem of recommending relevant products to consumers. Addressing this ...
Abstract Early failure detection in motor pumps is an important issue in prediction maintenance. An efficient condition-monitoring scheme is capable of providing warning and predic...
Flavia Cristina Bernardini, Ana Cristina Bicharra ...
Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy-based approaches have been proposed as a means of pr...
Domenico Corapi, Oliver Ray, Alessandra Russo, Aro...
We present a system for recognising human behaviour given a symbolic representation of surveillance videos. The input of our system is a set of timestamped short-term behaviours, t...
Oral cancer is the predominant neoplasm of the head and neck. Annually, more than 500.000 new cases of oral cancer are reported, worldwide. After the initial treatment of cancer an...
Costas P. Exarchos, Yorgos Goletsis, Dimitrios I. ...