LiMin Fu

32 papers A* 2B 3C 1Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2012 J jnl
CD-HIT: accelerated for clustering the next-generation sequencing data.
Bioinform.
LiMin Fu, Beifang Niu, Zhengwei Zhu, Sitao Wu, Weizhong Li
2012 J jnl
Ultrafast clustering algorithms for metagenomic sequence analysis.
Briefings Bioinform.
Weizhong Li, LiMin Fu, Beifang Niu, Sitao Wu, John C. Wooley
2011 J jnl
FR-HIT, a very fast program to recruit metagenomic reads to homologous reference genomes.
Bioinform.
Beifang Niu, Zhengwei Zhu, LiMin Fu, Sitao Wu, Weizhong Li
2010 J jnl
Artificial and natural duplicates in pyrosequencing reads of metagenomic data.
BMC Bioinform.
Beifang Niu, LiMin Fu, Shulei Sun, Weizhong Li
2010 J jnl
CD-HIT Suite: a web server for clustering and comparing biological sequences.
Bioinform.
Ying Huang, Beifang Niu, Ying Gao, LiMin Fu, Weizhong Li
2007 J jnl
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data.
BMC Bioinform.
LiMin Fu, Enzo Medico
2002 J jnl
Effectiveness of user testing and heuristic evaluation as a function of performance classification.
Behav. Inf. Technol.
LiMin Fu, Gavriel Salvendy, Lori Turley
1999 J jnl
A concept learning network based on correlation and backpropagation.
IEEE Trans. Syst. Man Cybern. Part B
LiMin Fu
1999 B conf
A neural network for learning domain rules with precision.
IJCNN
LiMin Fu
1999 J jnl
An expert network for DNA sequence analysis.
IEEE Intell. Syst.
LiMin Fu
1999 J jnl
Knowledge Discovery Based on Neural Networks.
Commun. ACM
LiMin Fu
1999 J jnl
Knowledge Discovery by Inductive Neural Networks.
IEEE Trans. Knowl. Data Eng.
LiMin Fu
1999 B conf
Learning in a quantizable neural network.
IJCNN
LiMin Fu
1998 J jnl
A neural-network model for learning domain rules based on its activation function characteristics.
IEEE Trans. Neural Networks
LiMin Fu
1998 J jnl
Learning in certainty-factor-based multilayer neural networks for classification.
IEEE Trans. Neural Networks
LiMin Fu
1998 J jnl
Quantizability and learning complexity in multilayer neural networks.
IEEE Trans. Syst. Man Cybern. Part C
LiMin Fu
1996 — conf
Context analysis by the gamma neural network.
ICNN
Hui-Huang Hsu, LiMin Fu, José C. Príncipe
1996 J jnl
Incremental backpropagation learning networks.
IEEE Trans. Neural Networks
LiMin Fu, Hui-Huang Hsu, José C. Príncipe
1996 J jnl
Incremental knowledge acquisition in supervised learning networks.
IEEE Trans. Syst. Man Cybern. Part A
LiMin Fu
1996 J jnl
Integration of Knowledge and Neural Heuristics.
AI Mag.
LiMin Fu
1996 J jnl
Learning capacity and sample complexity on expert networks.
IEEE Trans. Neural Networks
LiMin Fu
1995 J jnl
Introduction to knowledge-based neural networks.
Knowl. Based Syst.
LiMin Fu
1995 J jnl
Special issue: Knowledge-based neural networks.
Knowl. Based Syst.
LiMin Fu
1994 J jnl
Polygenic trait analysis by neural network learning.
Artif. Intell. Medicine
LiMin Fu
1994 J jnl
Rule Generation from Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst.
LiMin Fu
1993 — conf
A neural network model for real-time adaptive clustering.
ICNN
LiMin Fu
1993 J jnl
Real-time adaptive clustering of flow cytometric data.
Pattern Recognit.
LiMin Fu, Mark Yang, Raul Braylan, Neal Benson
1992 B conf
A hybrid system approach to multivariate analysis of flow cytometry data.
CBMS
LiMin Fu, Mark Yang, Raul Braylan, Neal Benson
1992 C conf
Connectionism for Fuzzy Learning in Rule-Based Expert Systems.
IEA/AIE
LiMin Fu
1991 J jnl
Knowledge base refinement by backpropagation.
Data Knowl. Eng.
LiMin Fu
1991 A* conf
Rule Learning by Searching on Adapted Nets.
AAAI
LiMin Fu
1985 A* conf
Learning Intermediate Concepts in Constructing a Hierarchical Knowledge Base.
IJCAI
LiMin Fu, Bruce G. Buchanan