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AIME
2009
Springer
13 years 6 months ago
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
Aliaksei Kerhet, Cormac Small, Harvey Quon, Terenc...
CORR
2010
Springer
175views Education» more  CORR 2010»
13 years 8 months ago
Detecting Security threats in the Router using Computational Intelligence
Information security is an issue of global concern. As the Internet is delivering great convenience and benefits to the modern society, the rapidly increasing connectivity and acc...
J. Visumathi, K. L. Shunmuganathan
IEAAIE
2004
Springer
14 years 1 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...
ML
2007
ACM
13 years 8 months ago
LARS: A learning algorithm for rewriting systems
Rémi Eyraud, Colin de la Higuera, Jean-Chri...
ICASSP
2011
IEEE
13 years 6 days ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma