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Algorithm Theory-SWAT 2006 10th Scandinavian Workshop on Algorithm Theory, Riga, Latvia, July 6-8, 2006, proceedings /
WemIQ: an accurate and robust isoform quantification method for RNA-seq data

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU
Advances in data mining applications and theoretical aspects ; 9th industrial conference, ICDM 2009, Leipzig, Germany, July 20-22, 2009 : proceedings /

Numerical results for the multiobjective trust region algorithm MHT
Modern technologies and algorithms for scaffolding assembled genomes

Application of Hybrid Genetic Algorithm Routine in Optimizing Food and Bioengineering Processes
Advances in intelligent data analysis VIII 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009 : proceedings /

Algorithm for Energy Resource Allocation and Sensor-Based Clustering in M2M Communication Systems
Biomass Grinding Process Optimization Using Response Surface Methodology and a Hybrid Genetic Algorithm

Biomass Grinding Process Optimization Using Response Surface Methodology and a Hybrid Genetic Algorithm
Maximum Likelihood Estimations and EM Algorithms with Length-biased Data

Semi-automated quantification of hard exudates in colour fundus photographs diagnosed with diabetic retinopathy
Privacy, security, and trust in KDD First ACM SIGKDD International Workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007 : revised selected papers /

Semi-automated quantification of hard exudates in colour fundus photographs diagnosed with diabetic retinopathy
Automated quantification of Haller’s layer in choroid using swept-source optical coherence tomography

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

Managing uncertainty in imputing missing symptom value for healthcare of rural India
Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting

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