The article addresses the issues related to making decisions by an ensemble of classifiers.
Classifiers are built based on local tables, the set of local tables is called a dispersed …

In this paper, a conflict model proposed by Pawlak was applied to the approach in which
multiple classifiers make global decisions based on dispersed knowledge. Such an …

Abstract Information fused by multi-sensors is an important factor for obtaining reliable
contextual information in smart spaces which use the pervasive and ubiquitous computing …

Multiclass problems, such as detecting multi-steps behaviour of advanced persistent threats
(APTs), have been a major global challenge due to their capability to navigates around …

We introduce our latest autonomous learning and interaction system instance ALIS 2. It
comprises different sensing modalities for visual (depth blobs, planar surfaces, motion) and …

The paper discusses how information based medicine has become an increasingly
important model of healthcare. Today's patients are better informed and therefore play a …

The development of the network technology faces with security attack challenges. It is
difficult but important to trace the source of the attack from massive attack alarms. This paper …

Multi-sensor systems (MSS) have been increasingly applied in pattern classification while
searching for the optimal classification framework is still an open problem. The development …

A stable perception of the environment is a crucial prerequisite for researching the learning
of semantics from human-robot interaction and also for the generation of behavior relying on …

The ion-sensitive field-effect transistor (ISFET) that is designed to detect a specific ionic
activity is susceptible to interfering ions in mixed-ion environments causing the sensor to …