@inproceedings{conf/icchp/SilvaFNND08,
	title = {Modeling a Hands-Free Controlled Power Wheelchair.},
	author = {Ludmila C. A. Silva and Torsten Felzer and Geraldo G. Delgado Neto and Rainer Nordmann and Franco G. Dedini},
	booktitle = {ICCHP},
	crossref = {conf/icchp/2008},
	editor = {Klaus Miesenberger and Joachim Klaus and Wolfgang L. Zagler and Arthur I. Karshmer},
	pages = {1261-1268},
	publisher = {Springer},
	series = {Lecture Notes in Computer Science},
	url = {http://dblp.uni-trier.de/db/conf/icchp/icchp2008.html#SilvaFNND08},
	volume = {5105},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2e4807634c1812acbfb10fa0fc25c25d1/dblp},
	description = {dblp},
	date = {2008-07-18}, ee = {http://dx.doi.org/10.1007/978-3-540-70540-6_189}, isbn = {978-3-540-70539-0},
	keywords = {dblp }
}

@inproceedings{conf/scsc/SantoniMTSN07,
	title = {A real-time interface simulator for operator's training: a proposed architecture.},
	author = {Charles Santoni and Jean-Marc Mercantini and Maria de F. Q. V. Turnell and Alexandre Scaico and José A. do N. Neto},
	booktitle = {SCSC},
	crossref = {conf/scsc/2007},
	editor = {Gabriel A. Wainer},
	pages = {460-467},
	publisher = {Simulation Councils, Inc.},
	url = {http://dblp.uni-trier.de/db/conf/scsc/scsc2007.html#SantoniMTSN07},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2465320ba218ee53d5dc3197fb7538481/dblp},
	description = {dblp},
	date = {2008-07-11}, ee = {http://doi.acm.org/10.1145/1357910.1357983}, isbn = {1-56555-316-0},
	keywords = {dblp }
}

@article{journals/comcom/CerqueiraVNCMM08,
	title = {Mobility management for multi-user sessions in next generation wireless systems.},
	author = {Eduardo Cerqueira and Luis Veloso and Augusto Neto and Marilia Curado and Edmundo Monteiro and Paulo Mendes},
	journal = {Computer Communications},
	number = {5},
	pages = {915-934},
	url = {http://dblp.uni-trier.de/db/journals/comcom/comcom31.html#CerqueiraVNCMM08},
	volume = {31},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2ffbcfbdd7e8c3be10c723de6d24fa613/dblp},
	description = {dblp},
	ee = {http://dx.doi.org/10.1016/j.comcom.2007.12.019}, date = {2008-07-07},
	keywords = {dblp }
}

@inproceedings{conf/hpdc/Al-KiswanyGSYR08,
	title = {StoreGPU: exploiting graphics processing units to accelerate distributed storage systems.},
	author = {Samer Al-Kiswany and Abdullah Gharaibeh and Elizeu Santos-Neto and George Yuan and Matei Ripeanu},
	booktitle = {HPDC},
	crossref = {conf/hpdc/2008},
	editor = {Manish Parashar and Karsten Schwan and Jon B. Weissman and Domenico Laforenza},
	pages = {165-174},
	publisher = {ACM},
	url = {http://dblp.uni-trier.de/db/conf/hpdc/hpdc2008.html#Al-KiswanyGSYR08},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/265f28524d4036e622d5def9e63d7724c/dblp},
	description = {dblp},
	date = {2008-07-02}, ee = {http://doi.acm.org/10.1145/1383422.1383443}, isbn = {978-1-59593-997-5},
	keywords = {dblp }
}

@inproceedings{conf/hpdc/Santos-NetoAAGR08,
	title = {enabling cross-layer optimizations in storage systems with custom metadata.},
	author = {Elizeu Santos-Neto and Samer Al-Kiswany and Nazareno Andrade and Sathish Gopalakrishnan and Matei Ripeanu},
	booktitle = {HPDC},
	crossref = {conf/hpdc/2008},
	editor = {Manish Parashar and Karsten Schwan and Jon B. Weissman and Domenico Laforenza},
	pages = {213-216},
	publisher = {ACM},
	url = {http://dblp.uni-trier.de/db/conf/hpdc/hpdc2008.html#Santos-NetoAAGR08},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2b8c8573b5dda1b9cbca7d912862b31b8/dblp},
	description = {dblp},
	date = {2008-07-02}, ee = {http://doi.acm.org/10.1145/1383422.1383451}, isbn = {978-1-59593-997-5},
	keywords = {dblp }
}

@article{net01,
	title = {Untitled},
	annote = {stripes and supercond. fermion boson},
	author = {Castro A. H. Neto},
	journal = {Phys. Rev. B},
	pages = {104509},
	volume = {64},
	year = {2001},
	biburl = {http://www.bibsonomy.org/bibtex/29346cac26015ca0217780c4dd935155e/jgl},
	posted-at = {2008-03-07 13:36:28}, priority = {2}, citeulike-article-id = {2484315}, comment = {stripes and supercond. fermion boson},
	keywords = {high-tc, htsct, theory }
}

@inproceedings{Souza:2006:ICTAI,
	title = {Using Correlation to Improve Boosting Technique: An
                 Application for Time Series Forecasting},
	address = {Arlington, USA},
	author = {L. V. {de Souza} and A. T. R. Pozo and A. C. Neto},
	booktitle = {8th IEEE International Conference on Tools with
                 Artificial Intelligence, ICTAI '06},
	month = {November},
	pages = {26--32},
	publisher = {IEEE},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2c02b968ed2600c0c2e0134a90d842315/brazovayeye},
	abstract = {Time series forecasting has been widely used to
                 support decision making, in this context a highly
                 accurate prediction is essential to ensure the quality
                 of the decisions. Ensembles of machines currently
                 receive a lot of attention; they combine predictions
                 from different forecasting methods as a procedure to
                 improve the accuracy. This paper explores genetic
                 programming and boosting technique to obtain an
                 ensemble of regressors and proposes a new formula for
                 the final hypothesis. This new formula is based on the
                 correlation coefficient instead of the geometric median
                 used by the boosting algorithm. To validate this
                 method, experiments were performed, the mean squared
                 error (MSE) has been used to compare the accuracy of
                 the proposed method against the results obtained by GP,
                 GP using a boosting technique and the traditional
                 statistical methodology (ARMA). The results show
                 advantages in the use of the proposed approach},
	isbn = {0-7695-2728-0}, notes = {Dept. of Design, Fed. Univ. of Parana, Curitiba}, doi = {doi:10.1109/ICTAI.2006.118},
	keywords = {algorithms, genetic programming }
}

@inproceedings{Souza:2007:cec,
	title = {The Boosting Technique Using Correlation Coefficient
                 to Improve Time Series Forecasting Accuracy},
	address = {Singapore},
	author = {Luzia Vidal {de Souza} and Aurora T. R. Pozo and Joel M. C. {da Rosa} and Anselmo Chaves Neto},
	booktitle = {2007 IEEE Congress on Evolutionary Computation},
	editor = {Dipti Srinivasan and Lipo Wang},
	month = {25-28 September},
	organization = {IEEE Computational Intelligence Society},
	pages = {1288--1295},
	publisher = {IEEE Press},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/23a216ac0670558cbc422b8a9fadc9ba6/brazovayeye},
	abstract = {Time series forecasting has been considered an
                 important tool to support decisions in different
                 domains. A highly accurate prediction is essential to
                 ensure the quality of these decisions. Time series
                 forecasting is based on historical data and the
                 predictions are usually made using statistical methods.
                 These characteristics make the forecasting problem an
                 interesting application of Machine learning techniques,
                 especially for Boosting techniques and Genetic
                 Programming. Boosting techniques currently receive a
                 lot of attention; they combine predictions from
                 different forecasting methods as a procedure to improve
                 the accuracy. This paper explores Genetic Programming
                 (GP) and Boosting technique to obtain an ensemble of
                 regressors and proposes a new formula for the updating
                 of the weights and for the final hypothesis. This new
                 formula is based on the correlation coefficient instead
                 of the loss function used by traditional boosting
                 algorithms, this new algorithm is called Boosting using
                 Correlation Coefficient (BCC). To validate this method,
                 experiments were accomplished using real, financial and
                 artificial series generated by Monte Carlo Simulation.
                 The results obtained by using this new methodology were
                 compared with the results obtained from GP, GPBoost and
                 the traditional statistical methodology (ARMA). The
                 results show advantages in the use of the proposed
                 approach.},
	file = {1242.pdf}, isbn = {1-4244-1340-0}, notes = {CEC 2007 - A joint meeting of the IEEE, the EPS, and
                 the IET.

                 IEEE Catalog Number: 07TH8963C},
	keywords = {algorithms, genetic programming }
}

@incollection{Albuquerque:2004:EMTP,
	title = {Evolutionary Computation and Parallel Processing
                 Applied to the Design of Multilayer Perceptrons},
	address = {Berlin},
	author = {Ana Claudia M. L. Albuquerque and Jorge D. Melo and Adriao D. {Doria Neto}},
	booktitle = {Evolvable Machines: Theory \& Practice},
	chapter = {8},
	editor = {Nadia Nedjah and Luiza {de Macedo Mourelle}},
	pages = {181--203},
	publisher = {Springer},
	series = {Studies in Fuzziness and Soft Computing},
	url = {http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-175-22-33980449-0,00.html},
	volume = {161},
	year = {2004},
	biburl = {http://www.bibsonomy.org/bibtex/28e380b6bfcd5354080b9df0a355c4a96/brazovayeye},
	isbn = {3-540-22905-1}, notes = {Springer says published in 2005 but available Nov
                 2004},
	keywords = {algorithms genetic }
}

@inproceedings{conf/isbi/ChakravartyRBEC08,
	title = {Development of FMRI techniques for planning in functional neurosurgery for Parkinson's disease.},
	author = {M. Mallar Chakravarty and Pedro Rosa-Neto and Scott Broadbent and Alan C. Evans and D. Louis Collins},
	booktitle = {ISBI},
	crossref = {conf/isbi/2008},
	pages = {1259-1262},
	publisher = {IEEE},
	url = {http://dblp.uni-trier.de/db/conf/isbi/isbi2008.html#ChakravartyRBEC08},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/249762a5b8f79195ce8a5748f67e8d41f/dblp},
	description = {dblp},
	ee = {http://dx.doi.org/10.1109/ISBI.2008.4541232}, date = {2008-06-18},
	keywords = {dblp }
}