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116
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 7 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 7 months ago
A novel ab-initio genetic-based approach for protein folding prediction
In this paper, a model based on genetic algorithms for protein folding prediction is proposed. The most important features of the proposed approach are: i) Heuristic secondary str...
Sergio Raul Duarte Torres, David Camilo Becerra Ro...
89
Voted
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 7 months ago
Performance analysis of niching algorithms based on derandomized-ES variants
A survey of niching algorithms, based on 5 variants of derandomized Evolution Strategies (ES), is introduced. This set of niching algorithms, ranging from the very first derandom...
Ofer M. Shir, Thomas Bäck
ICALP
2007
Springer
15 years 7 months ago
Regular Languages of Nested Words: Fixed Points, Automata, and Synchronization
Abstract. Nested words are a restriction of the class of visibly pushdown languages that provide a natural model of runs of programs with recursive procedure calls. The usual conne...
Marcelo Arenas, Pablo Barceló, Leonid Libki...
107
Voted
ICB
2007
Springer
239views Biometrics» more  ICB 2007»
15 years 7 months ago
Uniprojective Features for Gait Recognition
Recent studies have shown that shape cues should dominate gait recognition. This motivates us to perform gait recognition through shape features in 2D human silhouettes. In this pa...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan