Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Essentials of artificial intelligence
Essentials of artificial intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Computers and Operations Research
On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
Theoretical Computer Science
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Feature Subset Selection Using a Genetic Algorithm
IEEE Intelligent Systems
Scatter Search: Methodology and Implementations in C
Scatter Search: Methodology and Implementations in C
An introduction to variable and feature selection
The Journal of Machine Learning Research
Information Sciences: an International Journal - Special issue: Soft computing data mining
Stability of Feature Selection Algorithms
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Stability of Feature Selection Algorithms
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Journal of Biomedical Informatics - Special issue: Clinical machine learning
On Preprocessing of SELDI-MS Data and its Evaluation
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
Journal of Biomedical Informatics
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Stability of feature selection algorithms: a study on high-dimensional spaces
Knowledge and Information Systems
A stability index for feature selection
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Using learning to facilitate the evolution of features for recognizing visual concepts
Evolutionary Computation
Guilt-by-association feature selection: Identifying biomarkers from proteomic profiles
Journal of Biomedical Informatics
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Computational Statistics & Data Analysis
Time series forecasting with a non-linear model and the scatter search meta-heuristic
Information Sciences: an International Journal
Robust Feature Selection Using Ensemble Feature Selection Techniques
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Evaluating the Stability of Feature Selectors That Optimize Feature Subset Cardinality
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
A genetic algorithm approach to determine the sample size for attribute control charts
Information Sciences: an International Journal
Oversearching and layered search in empirical learning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting
Information Sciences: an International Journal
Information Sciences: an International Journal
Improving stability of feature selection methods
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Profiling of high-throughput mass spectrometry data for ovarian cancer detection
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Stability analysis on rough set based feature evaluation
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Soft fuzzy rough sets for robust feature evaluation and selection
Information Sciences: an International Journal
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
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Mass spectrometry (MS) data provide a promising strategy for biomarker discovery. For this purpose, the detection of relevant peakbins in MS data is currently under intense research. Data from mass spectrometry are challenging to analyze because of their high dimensionality and the generally low number of samples available. To tackle this problem, the scientific community is becoming increasingly interested in applying feature subset selection techniques based on specialized machine learning algorithms. In this paper, we present a performance comparison of some metaheuristics: best first (BF), genetic algorithm (GA), scatter search (SS) and variable neighborhood search (VNS). Up to now, all the algorithms, except for GA, have been first applied to detect relevant peakbins in MS data. All these metaheuristic searches are embedded in two different filter and wrapper schemes coupled with Naive Bayes and SVM classifiers.