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» Predicting Effectiveness of Automatic Testing Tools
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IEAAIE
2004
Springer
15 years 3 months ago
Machine Learning Approaches for Inducing Student Models
The main issue in e-learning is student modelling, i.e. the analysis of a student’s behaviour and prediction of his/her future behaviour and learning performance. Indeed, it is d...
Oriana Licchelli, Teresa Maria Altomare Basile, Ni...
ACMIDC
2010
14 years 7 months ago
vSked: an interactive visual schedule system for use in classrooms for children with autism
Children with autism often experience substantial challenges in understanding, structuring, and predicting the activities in their daily lives. The use of symbols to represent a s...
Michael T. Yeganyan, Meg Cramer, Lou Anne Boyd, Gi...
BMCBI
2005
117views more  BMCBI 2005»
14 years 9 months ago
An evaluation of GO annotation retrieval for BioCreAtIvE and GOA
Background: The Gene Ontology Annotation (GOA) database http://www.ebi.ac.uk/GOA aims to provide high-quality supplementary GO annotation to proteins in the UniProt Knowledgebase....
Evelyn Camon, Daniel Barrell, Emily Dimmer, Vivian...
SAC
2008
ACM
14 years 9 months ago
Towards a model-driven engineering approach for developing embedded hard real-time software
Model-Driven Engineering (MDE) has been advocated as an effective way to deal with today's software complexity. MDE can be seen as an integrative approach combining existing ...
Fabiano Cruz, Raimundo S. Barreto, Lucas Cordeiro
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 10 months ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon