LiMin Fu - researchr alias

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Viewing Publication 1 - 33 from 33

2014

Understanding Emerging Markets by Applying Lean UXStephanie Chan, Gloria Chen, LiMin Fu. hci 2014: 417-426 [doi]

2013

Implement User-Centered Design in Internationally Distributed Design TeamsLiMin Fu, Stephanie Chan. hci 2013: 209-218 [doi]

2012

CD-HIT: accelerated for clustering the next-generation sequencing dataLiMin Fu, Beifang Niu, Zhengwei Zhu, Sitao Wu, Weizhong Li. bioinformatics, 28(23):3150-3152, 2012. [doi]

Ultrafast clustering algorithms for metagenomic sequence analysisWeizhong Li, LiMin Fu, Beifang Niu, Sitao Wu, John C. Wooley. bib, 13(6):656-668, 2012. [doi]

2011

FR-HIT, a very fast program to recruit metagenomic reads to homologous reference genomesBeifang Niu, Zhengwei Zhu, LiMin Fu, Sitao Wu, Weizhong Li. bioinformatics, 27(12):1704-1705, 2011. [doi]

2010

CD-HIT Suite: a web server for clustering and comparing biological sequencesYing Huang, Beifang Niu, Ying Gao, LiMin Fu, Weizhong Li. bioinformatics, 26(5):680-682, 2010. [doi]

Artificial and natural duplicates in pyrosequencing reads of metagenomic dataBeifang Niu, LiMin Fu, Shulei Sun, Weizhong Li. bmcbi, 11:187, 2010. [doi]

2007

FLAME, a novel fuzzy clustering method for the analysis of DNA microarray dataLiMin Fu, Enzo Medico. bmcbi, 8, 2007. [doi]

2002

Effectiveness of user testing and heuristic evaluation as a function of performance classificationLiMin Fu, Gavriel Salvendy, Lori Turley. behaviourIT, 21(2):137-143, 2002. [doi]

1999

A concept learning network based on correlation and backpropagationLiMin Fu. tsmc, 29(6):912-916, 1999.

Knowledge Discovery Based on Neural NetworksLiMin Fu. CACM, 42(11):47-50, 1999. [doi]

Knowledge Discovery by Inductive Neural NetworksLiMin Fu. tkde, 11(6):992-998, 1999. [doi]

Learning in a quantizable neural networkLiMin Fu. ijcnn 1999: 1234-1238 [doi]

A neural network for learning domain rules with precisionLiMin Fu. ijcnn 1999: 1229-1233 [doi]

An expert network for DNA sequence analysisLiMin Fu. expert, 14(1):65-71, 1999. [doi]

1998

Learning in certainty-factor-based multilayer neural networks for classificationLiMin Fu. tnn, 9(1):151-158, 1998. [doi]

A neural-network model for learning domain rules based on its activation function characteristicsLiMin Fu. tnn, 9(5):787-795, 1998. [doi]

Quantizability and learning complexity in multilayer neural networksLiMin Fu. tsmc, 28(2):295-299, 1998. [doi]

1996

Integration of Knowledge and Neural HeuristicsLiMin Fu. aim, 17(4):85-86, 1996.

Learning capacity and sample complexity on expert networksLiMin Fu. tnn, 7(6):1517-1520, 1996. [doi]

Incremental knowledge acquisition in supervised learning networksLiMin Fu. tsmc, 26(6):801-809, 1996. [doi]

Incremental backpropagation learning networksLiMin Fu, Hui-Huang Hsu, Jose C. Principe. tnn, 7(3):757-761, 1996. [doi]

Context analysis by the gamma neural networkHui-Huang Hsu, LiMin Fu, José C. Príncipe. icnn 1996: 682-687 [doi]

1995

Introduction to knowledge-based neural networksLiMin Fu. kbs, 8(6):299-300, 1995. [doi]

Special issue: Knowledge-based neural networksLiMin Fu. kbs, 8(6):298, 1995. [doi]

1994

Rule Generation from Neural NetworksLiMin Fu. tsmc, 24(8):1114-1124, 1994. [doi]

1993

A neural network model for real-time adaptive clusteringLiMin Fu. icnn 1993: 413-416 [doi]

Real-time adaptive clustering of flow cytometric dataLiMin Fu, Mark Yang, Raul Braylan, Neal Benson. PR, 26(2):365-373, 1993. [doi]

1992

Connectionism for Fuzzy Learning in Rule-Based Expert SystemsLiMin Fu. ieaaie 1992: 337-340

A hybrid system approach to multivariate analysis of flow cytometry dataLiMin Fu, Mark Yang, Raul Braylan, Neal Benson. cbms 1992: 315-324 [doi]

1991

Knowledge base refinement by backpropagationLiMin Fu. DKE, 7:35-46, 1991.

Rule Learning by Searching on Adapted NetsLiMin Fu. AAAI 1991: 590-595

1985

Learning Intermediate Concepts in Constructing a Hierarchical Knowldege BaseLiMin Fu, Bruce G. Buchanan. IJCAI 1985: 659-666

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