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Algorithm Theory-SWAT 2006 10th Scandinavian Workshop on Algorithm Theory, Riga, Latvia, July 6-8, 2006, proceedings /
A proposal for an improved version of EigenAnt algorithm with performance evaluation on combinatorial optimization problems

Data structures and algorithms in java /
Data structures & algorithms in Java /

Advances in data mining applications and theoretical aspects ; 9th industrial conference, ICDM 2009, Leipzig, Germany, July 20-22, 2009 : proceedings /
ALGORITHMS AND DATA STRUCTURE LIBRARIES FOR JAVA

Numerical results for the multiobjective trust region algorithm MHT
Advances in intelligent data analysis VIII 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 : proceedings /

Evaluation of a cone beam CT artefact reduction algorithm
Privacy, security, and trust in KDD First ACM SIGKDD International Workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007 : revised selected papers /

Headway in spatial data handling 13th International Symposium on Spatial Data Handling /
Advances in spatial data handling geospatial dynamics, geosimulation and exploratory visualization /

A proposal for an improved version of EigenAnt algorithm with performance evaluation on combinatorial optimization problems /
Data engineering issues in E-Commerce and services second international workshop, DEECS 2006, San Francisco, CA, USA, June 26, 2006 /

Advances in intelligent data analysis XI 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012, proceedings /
Can a supervised algorithmic assessment of men for prostate cancer improve the quality of care? A retrospective evaluation of a prostate assessment pathway in Saskatchewan

First-step validation of a text message-based application for newborn clinical management among pediatricians
First-step validation of a text message-based application for newborn clinical management among pediatricians

A Gamma-frailty proportional hazards model for bivariate interval-censored data
A Robust Regression Methodology via M-estimation

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