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69篇 您的检索式:作者名="Perantonis"
    题名 作者 年代 出处 被引量
1Expres- sion pattern of the rat Lim-1 homeobox gene suggests a dual role during kidney development 显示文摘Karavanov AA Karavanova I Perantoni A 1998Int J Dev Biol1998,42,1:1
2Two highly efficient second- order algorithms for training feedforward networks显示文摘Ampazis N Perantonis S J 2002IEEE Transactions on Neural Networks2002,13,5:1
3Adaptive degraded dacu- ment image binarization 显示文摘B Gatos I Pratikakis S J Perantonis 2006Pattern Recognition2006,39,:1
4Handwritten character recognition through two-stage foreground sub-sampling 显示文摘Vamvakas G Gatos B Perantonis S J 2010Pattern Recognition2010,,45:1
5Two highly efficient second-order algorithms for training feedforward networks显示文摘Ampazis N Perantonis S J 2002IEEE Trans Neural Networks2002,13,5:1
6Automatic page analysis of a digital library from newspaper archives 显示文摘Gatos B Mantzaris S Perantonis S 2000International Journal of Digital Libraries2000,3,1:1
7Dynamics of Multi layer Networks in the Vicinity of Temporary Minima 显示文摘Ampazis N Perantonis S J Taylor J G 1999Neural Networks1999,12,1:1
8Citedl and cited2 are differentially expressed in the developing kidney but are i not required for nephrogenesis显示文摘Boyle S Shioda T Perantoni AO 2007Dev Dyn2007,236,8:1
93D mesh segmentation methodologies for CAD applications显示文摘Agathos A Pratikakis I Perantonis S 2007Computer-Aided Design and Applications2007,4,6:1
103D mesh segmentation methodologies for CAD applications 显示文摘Agathos A Pratikakis I Perantonis S 2007Computer-Aided Design & Applications2007,4,6:1
11Two highly efficient secondorder algorithms for training feed forward networks显示文摘Ampazis N Perantonis S J 2002IEEE Trans on Neural Networks2002,13,5:1
12Two highly effieient seeond -order algorithms for training feedforwa-rd networks显示文摘Ampazis Nikolaos Perantonis Stavros J 2002IEEE Transaetions on Neural Networks2002,13,55:1
13Efficient perception learning using constrained steepest descent显示文摘Perantonis S J Virvilis V 2000Neural Networks2000,13,:1
14Adaptive degraded document image hinarization显示文摘Gatos B Pratikakis I Perantonis S J 2006Pattern Recognition2006,39,3:1
153D mesh segmentation methodologies for CAD applica- tions 显示文摘Alexander Agathos Ioannis Pratikakis Stavros Perantonis 2007Computer Aided Design & Applications2007,4,6:1
16Condilionally immortalized cell line of inducible metanepbric mesench,nne 显示文摘Levashova ZB Plisov SY Perantoni AO 2003Kidney Int2003,63,3:1
17Conditionally immortalized cell line of inducible metanephric messenchyme 显示文摘Levashova Z B Plisov S Y Perantoni A O 2003Kidney Int2003,63,6:1
18Adaptive Degraded Document Image Binarization显示文摘Gatos B Pratikakis I Perantonis S J 2006Pattern Recognition2006,39,3:1
19Dynamics of multilayer networks in the vicinity of temporary minima显示文摘Ampazis N Perantonis S J Taylor J G 1999Neural Networks1999,12,1:1
20A dynamics model for the analysis and acceleration of learning in feedforward networks显示文摘Ampazis N Perantonis S J Taylor J G 2001Neural Networks2001,14,8:1
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