( en | de | ru )

 

Disambiguation of "Lee, Nung Kion"

Author of the publication

copydeleteadd this publication to your clipboard
GMFR-CNN: An Integration of Gapped Motif Feature Representation and Deep Learning Approach for Enhancer Prediction.

, , and . CSBio, page 41-47. ACM, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Dieter Kion

Wolfgang Nungässer

Thilo Nungesser

Klaus-Dieter Kiontke

Heinz Kionka

 

Other publications of authors with the same name

SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model., and . BMC Bioinform., 12 (S-1): S16 (2011)SOMIX: Motifs Discovery in Gene Regulatory Sequences Using Self-Organizing Maps., and . ICONIP (2), volume 6444 of Lecture Notes in Computer Science, page 242-249. Springer, (2010)U-Net Segmentation of Ultra-Widefield Retinal Fundus Images for Retinal Vein Occlusion Associated Lesion Recognition., , , and . IICAIET, page 106-111. IEEE, (2023)Protein Sequences Classification Using Modular RBF Neural Networks., , , and . Australian Joint Conference on Artificial Intelligence, volume 2557 of Lecture Notes in Computer Science, page 477-486. Springer, (2002)Benchmarking CNN Models for Black Pepper Diseases and Malnutrition Prediction., , and . IICAIET, page 146-151. IEEE, (2023)Computational Discovery of Motifs Using Hierarchical Clustering Techniques., and . ICDM, page 1073-1078. IEEE Computer Society, (2008)Realization of Generalized RBF Network., and . CITA, page 82-88. (2003)Implementation of Parallel Collection Equi-Join Using MPI., , , and . PARA, volume 2367 of Lecture Notes in Computer Science, page 217-226. Springer, (2002)Improved H3K27ac histone mark prediction using k-mer proximity feature., and . CITA, page 1-6. IEEE, (2015)Comparisons of DNA Sequence Representation Methods for Deep Learning Modelling., and . IICAIET, page 1-6. IEEE, (2022)