Applications of Evolutionary Computing
EvoWorkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoISAP, EvoMUSART, and EvoSTOC, Coimbra, Portugal, April 5-7, 2004. Proceedings
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20 Result(s)
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Elena Marchiori
English
Computation by Abstract Devices
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Chapter and Conference Paper
A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners
This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting the range of values of the attr...
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Chapter and Conference Paper
Non-universal Suffrage Selection Operators Favor Population Diversity in Genetic Algorithms
State-of-the-art concept learning systems based on genetic algorithms evolve a redundant population of individuals, where an individual is a partial solution that covers some instances of the learning set. In ...
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Book and Conference Proceedings
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Chapter and Conference Paper
Ensemble Learning with Evolutionary Computation: Application to Feature Ranking
Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings extracted from the hypotheses. A statistic...
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Chapter and Conference Paper
Evolutionary Algorithms with On-the-Fly Population Size Adjustment
In this paper we evaluate on-the-fly population (re)sizing mechanisms for evolutionary algorithms (EAs). Evaluation is done by an experimental comparison, where the contestants are various existing methods and...
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Chapter and Conference Paper
Analysis of Proteomic Pattern Data for Cancer Detection
In this paper we analyze two proteomic pattern datasets containing measurements from ovarian and prostate cancer samples. In particular, a linear and a quadratic support vector machine (SVM) are applied to the...
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Chapter and Conference Paper
Bayesian Learning with Local Support Vector Machines for Cancer Classification with Gene Expression Data
This paper describes a novel method for improving classification of support vector machines (SVM) with recursive feature selection (SVM-RFE) when applied to cancer classification with gene expression data. The...
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Book and Conference Proceedings
Applications of Evolutionary Computing
EvoWorkkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC Lausanne, Switzerland, March 30 - April 1, 2005 Proceedings
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Chapter and Conference Paper
Robust SVM-Based Biomarker Selection with Noisy Mass Spectrometric Proteomic Data
Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease activity. To this aim, feature selection t...
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Book and Conference Proceedings
Evolutionary Computation,Machine Learning and Data Mining in Bioinformatics
5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007. Proceedings
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Chapter and Conference Paper
Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data
In liquid chromatography-mass spectrometry (LC-MS) based expression proteomics, samples from different groups are analyzed comparatively in order to detect differences that can possibly be caused by the diseas...
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Book and Conference Proceedings
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008. Proceedings
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Chapter and Conference Paper
Divide, Align and Full-Search for Discovering Conserved Protein Complexes
Advances in modern technologies for measuring protein-protein interaction (PPI) has boosted research in PPI networks analysis and comparison. One of the challenging problems in comparative analysis of PPI netw...
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Chapter and Conference Paper
Clustering Metagenome Short Reads Using Weighted Proteins
This paper proposes a new knowledge-based method for clustering metagenome short reads. The method incorporates biological knowledge in the clustering process, by means of a list of proteins associated to each...
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Chapter and Conference Paper
Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments
A challenging problem in bioinformatics is the detection of residues that account for protein function specificity, not only in order to gain deeper insight in the nature of functional specificity but also to ...
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Chapter and Conference Paper
Cutting Graphs Using Competing Ant Colonies and an Edge Clustering Heuristic
We investigate the usage of Ant Colony Optimization to detect balanced graph cuts. In order to do so we develop an algorithm based on competing ant colonies. We use a heuristic from social network analysis called...
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Chapter and Conference Paper
Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners
The availability of large volumes of protein-protein interaction data has allowed the study of biological networks to unveil the complex structure and organization in the cell. It has been recognized by biolog...
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Chapter and Conference Paper
DEEN: A Simple and Fast Algorithm for Network Community Detection
This paper introduces an algorithm for network community detection called DEEN, (Delete Edges and Expand Nodes) consisting of two simple steps. First edges of the graph estimated to connect different clusters are...
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Chapter and Conference Paper
Combining Evolutionary Computation and Algebraic Constructions to Find Cryptography-Relevant Boolean Functions
Boolean functions play a central role in security applications because they constitute one of the basic primitives for modern cryptographic services. In the last decades, research on Boolean functions has been...
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Chapter and Conference Paper
Evolutionary Methods for the Construction of Cryptographic Boolean Functions
Boolean functions represent an important primitive when constructing many stream ciphers. Since they are often the only nonlinear element of such ciphers, without them the algorithm would be trivial to break. ...
