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43篇 您的检索式:作者名="Robles V M"
    题名 作者 年代 出处 被引量
1Adaptive muhiresolu- tion non-local means filter for three-dimensional magnetic resonance image denoising显示文摘COUPE P MANJON J V ROBLES M 2012IET Image Processing2012,6,5:1
2Feature selection formulti-label naive Bayes classification显示文摘Zhang M L Peia J M Robles V 2009Information Sci- ences2009,179,19:1
3The antifreeze protein type I(AFP I)increases seabream(Sparus aurata)embryos tolerance to low temperatures显示文摘Robles V Barbosa V Herraez M P 2007Theriogenology2007,68,:1
4Cryoprotectant microinj- ection toxicity and chilling sensitivity in gihhead seabream (Sparus aurata ) embryo显示文摘BEIRAO J ROBLES V HERRJtEZ M P 2006Aquacuhure2006,261,:1
5An alternative method for deliveringexogenous material into developing zebrafish embryos 显示文摘KOHLI V ROBLES V CANCELA M L 2007Biotechnology and Bioengineering2007,98,6:1
6Feature selection formulti-label naive Bayes classification显示文摘Zhang Minling Pena J M Robles V 2009Information Sciences2009,179,19:1
7Medium energy particle precipitation influences on the mesosphere and lower thermosphere显示文摘Codrescu M V Fuller-Rowell T J Roble R G 0,,9:1
8Adaptive multi-resolution non-local means filter for 3D MR image denoising显示文摘COUPE P MANJON J V ROBLES M 2012IET Image Processing2012,6,5:1
9Feature selection for multi- label naive Bayes classification显示文摘Zhang M L Pena J M Robles V 2009Information Sciences2009,179,19:1
10Struc- tural, kinetic, and docking studies of artificial imine re- ductases based on biotin - streptavidin technology: An induced lock - and - key hypothesis 显示文摘Robles V M Durrenberger M Heinisch T 2014J Am Chem Soe2014,136,15:1
11Computa- tional insights on an artificial imine reductase based on the biotin - streptavidin technology 显示文摘Robles V M Vidossich P Lledo6s A 2014ACS Catal2014,4,3:1
12Feature selection for multi-label nayve Bayes classification显示文摘Zhang M L Pena J M Robles V 2009Information Sciences2009,179,19:1
13Regeneration and reprogram-ming compared显示文摘Christen B Robles V Raya M 2010BMC Biol2010,8,:1
14Feature selection for multi- label naive Bayes classification显示文摘Zhang M L Pefia J M Robles V 2009Information Sciences2009,179,19:1
15Bayesian network multiclassifiers for protein secondary structure prediction显示文摘 Larranaga P Pena J M 2004Artificial Intelligence in Medicine2004,31,:1
16Feature selection for multi-label naive Bayes classification显示文摘Zhang M L Pena J M Robles V 2009Information Sciences2009,179,:1
17Feature selection formulti-label naive Bayes classification显示文摘Zhang M L Pefia J M Robles V 2009InformationSciences2009,,179:1
18Feature selection for multi- label Naive Bayes classification 显示文摘Zhang M L JM Pefia V Robles 2009Information Sciences2009,179,19:1
19Feature selection for multi-label naive Bayes classification显示文摘Zhang minling Pena J M Robles V 2009Inform Sci2009,,179:1
20Design and implementation of a data mining grid-aware architecture显示文摘Perez M S Sanchez A Robles V 2007Future Generation Computer Systems2007,23,:1
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