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» Programming by Numbers: A Programming Method for Novices
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TMI
2002
248views more  TMI 2002»
15 years 1 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
ICSE
2012
IEEE-ACM
13 years 4 months ago
Predicting performance via automated feature-interaction detection
Abstract—Customizable programs and program families provide user-selectable features to allow users to tailor a program to an application scenario. Knowing in advance which featu...
Norbert Siegmund, Sergiy S. Kolesnikov, Christian ...
FM
2001
Springer
96views Formal Methods» more  FM 2001»
15 years 6 months ago
Houdini, an Annotation Assistant for ESC/Java
A static program checker that performs modular checking can check one program module for errors without needing to analyze the entire program. Modular checking requires that each m...
Cormac Flanagan, K. Rustan M. Leino
CONSTRAINTS
2006
99views more  CONSTRAINTS 2006»
15 years 2 months ago
An Integrated Method for Planning and Scheduling to Minimize Tardiness
We combine mixed integer linear programming (MILP) and constraint programming (CP) to minimize tardiness in planning and scheduling. Tasks are allocated to facilities using MILP an...
John N. Hooker
ISMB
1993
15 years 3 months ago
Discovering Sequence Similarity by the Algorithmic Significance Method
The minimal-length encoding approach is applied to define concept of sequence similarity. Asequence is defined to be similar to another sequence or to a set of keywords if it can ...
Aleksandar Milosavljevic