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Softwares
produced at LABIC
Disclaimers
- Softwares are provided “as is” for
academic use only, and under General Public Licence (GPU).
- When using a software developed in
this laboratory, please cite the corresponding bibliographic
references.
- Some softwares have a GUI in
portuguese only.
Visit, also, our
GITHUB repository |
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ANT-MINER: ANT colony optimization-based data MINER
system:
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Purpose: Data
mining tool based on the Ant Colony Optimization (ACO) paradigm, for
obtaining classification rules from data.
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Original version not available. An
improved Java-based version with GUI (version 1.3) by Fernando Meyer and
Rafael S. Parpinelli is
available here
-
Related papers:
- Parpinelli, R.S., Lopes,
H.S., Freitas, A.A.
Data mining with an ant colony optimization algorithm. IEEE
Transactions on Evolutionary Computation, v. 6, n. 4, p.
321-332, august, 2002. ISSN: 1089-778X.
Highly cited !
- Parpinelli, R.S., Lopes,
H.S., Freitas, A.A.
Mining comprehensible rules from data using an ant colony algorithm.
In: Bittencourt, G., Ramalho, G.L. (Eds.) Advances in Artificial
Intelligence, Lecture Notes in Artificial Intelligence, Berlin:
Springer-Verlag, v. 2507, p. 259-269, 2002. ISSN: 0302-9743.
- Parpinelli, R.S., Lopes,
H.S., Freitas, A.A.
An ant colony algorithm for classification rule discovery. In:
Abbas, H.A., Sarker, R.A., Newton, C.S. (eds.) Data Mining: A
Heuristic Approach., Hershey: Idea Group Publishing, v.1, p.
190-208, 2001. ISBN 1-9307-0825-4.
- Parpinelli, R.S., Lopes,
H.S., Freitas, A.A.
An ant colony based system for data mining: applications to medical
data. Proceedings of GECCO2001 – Genetic and Evolutionary
Computation Conference, San Francisco, USA, p. 791-797, 2001.
- Freitas, A.A., Parpinelli,
R.S., Lopes, H.S.,
Ant Colony Algorithms for Data Classification. In: Khosrow-Pour,
M (Ed.), Encyclopedia of Information Science and Technology, 2nd
Edition. Hershey: IGI Publishing , p. 420-424, 2008. ISBN:
978-1-60566-026-4.
- Parpinelli, R.S., Lopes,
H.S., Freitas, A.A.
Classification rule discovery with an ant colony algorithm. In:
Khosrow-Pour, M (Ed.), Encyclopedia of Information Science and
Technology. Hershey: Idea Group Inc., p. 420-424, 2005. ISBN:
1-59140-553-X
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EGIPSYS: Enhanced Gene-expression Programming
system for SYmbolic regreSsion problems:
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Purpose: Evolve programs for
symbolic regression problems using an enhanced version of
Gene-Expression
Programming (a kind of Genetic Programming).
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Executable software (for Windows
only)
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Related papers:
- Lopes, H.S., Weinert, W.R.,
EGIPSYS: a Enhanced Gene Expression Programming Approach for Symbolic
Regression Problems.
International Journal of Applied Mathematics and Computer Science,
v. 14, n. 3, p. 375-384, 2004.
- Lopes, H.S., Weinert, W.R.
A gene-expression programming system for time series analysis. In.
Proc. XXV Iberian Latin American Congress on Computational Methods in
Engineering, 10-12/november/2004.
- Weinert, W.R., Lopes H. S.,
Análise de estratégias para melhoria do desempenho do algoritmo de
programação por expressão genética na tarefa de regressão simbólica.
In: Anais do I Simpósio Brasileiro de Inteligência Computacional, 2007,
Florianópolis, [CD-ROM], 2007
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GEPCLASS: Gene-Expression Programming
for CLASSification:
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Purpose: Rule discovery for data
classification using a specialized version of
Gene-Expression
Programming(a kind of Genetic Programming).
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Executable software (for
Windows only)
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Related papers:
- Weinert, W.R., Lopes, H.S.,
Data mining with a parallel rule induction system based on gene
expression programming.
International Journal of Innovative Computing and Applications, v.
3, n. 3, p. 136-143, 2011. ISSN online: 1751-6498.
- Weinert, W.R., Lopes, H.S.,
GEPCLASS: a classification rule discovery tool using gene expression
programming. Lecture
Notes in Computer Science, v. 4093, p. 871-880, 2006. ISSN:
0302-9743
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NNPC: Neural Networks for Protein Classification:
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gANDALF-PRED: EnhANceD genetic ALGorithm
For protein structure PREDiction:
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Purpose:
Uses a genetic algorithm with special operators and enhanced local
search for finding the optimum folding of protein structures
represented with the bi-dimensional hidrophobic-polar (2D-HP) model.
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software
avaliable under request
-
Related
papers:
- Lopes, H.S., Scapin,
M.P.,
An Enhanced Genetic Algorithm for Protein Structure Prediction
Using the 2D Hydrophobic-Polar Model. Proc. of 7th
International Conference on Artificial Evolution,
Lecture Notes in Computer Science, v. 3871, p. 238-246,
2005.
- Lopes, H.S.
Evolutionary algorithms for the protein folding problem: a
review and current trends. In: Smolinski, T.G., Milanova,
M.M., Hassanien, A-E. (Eds.),
Applications of Computational Intelligence in Bioinformatics and
Biomedicine: Current Trends and Open Problems.
Heidelberg: Springer-Verlag,v. I, p. 297-315, 2008
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GAMBIT: Genetic Algorithm-based Motif
Browsing and Identification Tool:
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Purpose:
Finding short motifs for identifying the functional class of
proteins, using a specialized genetic algorithms.
-
software
avaliable under request,
dataset of
transmembrane proteins
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Related
papers:
- Tsunoda, D.F.,
Lopes, H.S., Freitas, A.A. An
evolutionary approach for motif discovery and transmembrane
protein classification. In: Proc. 3rd European Workshop
on Evolutionary Bioinformatics, 31/march-01/april, Lausanne
(Switzerland),
Lecture Notes in
Computer Science, v. 3449, p. 105-114, 2005.
- Tsunoda, D.F.,
Lopes, H.S.
Automatic motif discovery in an enzyme database using a
genetic algorithm-based approach.
Soft
Computing, v. 10, n. 4, p. 325-330, 2006.
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MAHATMA: Memetic Algorithm-based Highly
Adapted Tool for Motif Ascertainment:
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Purpose: Finding
short motifs for identifying the functional class of proteins, using a
specialized memetic algorithms.
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software avaliable
under request
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Related papers:
- Tsunoda, D.F., Lopes, H.S.,
Freitas, A.A.
A hybrid evolutionary approach for the protein classification
problem. In: N.T Nguyen, R. Kowalczyk, S-M. Chen (Eds.)
Computational Collective Intelligence, Proc. ICCCI/ NICI´2009,
Lecture Notes in Artificial Intelligence, v. 5796, p
629-640, 2009
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TFM: Ferramenta Testes de Força Muscular
(Muscular Strength Tests learning tool):
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Purpose: It is
a multimedia educational tool for aiding the teaching-learning
process of muscular strength tests (Physical Therapy). The GUI is in
Portuguese (only).
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software avaliable here.
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Related papers:
- Castilho-Weinert, L.V.,
Lopes, H.S.,
Computers in physical therapy education: interactive multimedia
learning with MuStreT. Informatics in Education, v.
8, n. 2, p. 157-172, 2009. ISSN: 1648-5831
- Castilho-Weinert, L.V.,
Lopes, H.S., Weinert, W.R.,
Informática na fisioterapia: sistema multimídia de apoio ao
aprendizado dos testes de força muscular. In: Workshop de
Informática Médica – WIM, Anais do XVII Congresso da Sociedade
Brasileira de Computação, Belém (PA), 12-18/julho, p.
101-110, 2008.
- Moreira, K. L. A. F.,
Castilho-Weinert, L.V., Multimídia e Hipermídia em Saúde. In:
Lourdes Brasil. (Org.). Informática em Saúde. 1 ed.
Brasília: Editora Universa – UCB, p. 273-301, 2008.
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PHYLOANT: PHYLOgenetic Tree Reconstruction
with an ANT Colony Optimization Agorithm:
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Purpose:
Construction of large-scale phylogenetic trees usina as input
raw DNA data of organisms.
-
software
avaliable under request
-
Related
papers:
- Perretto, M.,
Lopes, H.S.
An ant colony system for large-scale phylogenetic tree
reconstruction. Journal of Intelligent and Fuzzy
Systems, v. 18, n. 6, p. 575-583, 2007. ISBN: 1064-1246.
- Perretto, M.,
Lopes, H.S.
Reconstruction of phylogenetic trees using the ant colony
optimization paradigm. Genetics and Molecular
Research, v. 4, n. 3, p. 581-589, 2005. ISSN: 1676-5680
- Perretto, M.,
Lopes, H.S.
Reconstruction of phylogenetic trees using the ant colony
optimization paradigm. In: Proceedings of 3rd. Brazilian
Workshop on Bioinfomatics, Brasília (DF), 20-22/october,
[CD-ROM], 2004.
Last update:
10/28/19 |
