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BMCBI
2008
141views more  BMCBI 2008»
14 years 9 months ago
Functional discrimination of membrane proteins using machine learning techniques
Background: Discriminating membrane proteins based on their functions is an important task in genome annotation. In this work, we have analyzed the characteristic features of amin...
M. Michael Gromiha, Yukimitsu Yabuki
IEEEARES
2009
IEEE
15 years 4 months ago
Investigating the Implications of Virtual Machine Introspection for Digital Forensics
— Researchers and practitioners in computer forensics currently must base their analysis on information that is either incomplete or produced by tools that may themselves be comp...
Kara L. Nance, Brian Hay, Matt Bishop
64
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ICALT
2007
IEEE
15 years 3 months ago
Towards Advanced Learner Modeling: Discussions on Quasi Real-time Adaptation with Physiological Data
In this paper, we discuss the use of physiological data for quasi real-time adaptation in ITS. We present preliminary results where we analyze learners’ reactions while using a ...
Emmanuel G. Blanchard, Pierre Chalfoun, Claude Fra...
EDUTAINMENT
2008
Springer
14 years 11 months ago
Learning Models for the Integration of Adaptive Educational Games in Virtual Learning Environments
There is a trend in Virtual Learning Environments (VLE) towards flexible and adapted learning experiences that modify their contents and behavior to suit the needs of different lea...
Javier Torrente, Pablo Moreno-Ger, Baltasar Fern&a...
ITS
2010
Springer
115views Multimedia» more  ITS 2010»
15 years 2 months ago
In the Zone: Towards Detecting Student Zoning Out Using Supervised Machine Learning
This paper explores automatically detecting student zoning out while performing a spoken learning task. Standard supervised machine learning techniques were used to create classiï¬...
Joanna Drummond, Diane J. Litman