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Alioune Ngom
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Publications
- 2018
- [j30]Yifeng Li, Fang-Xiang Wu, Alioune Ngom:
A review on machine learning principles for multi-view biological data integration. Briefings Bioinform. 19(2): 325-340 (2018) - 2016
- [j27]Yifeng Li, Haifen Chen, Jie Zheng, Alioune Ngom:
The Max-Min High-Order Dynamic Bayesian Network for Learning Gene Regulatory Networks with Time-Delayed Regulations. IEEE ACM Trans. Comput. Biol. Bioinform. 13(4): 792-803 (2016) - 2015
- [j25]Yifeng Li, B. John Oommen, Alioune Ngom, Luis Rueda:
Pattern classification using a new border identification paradigm: The nearest border technique. Neurocomputing 157: 105-117 (2015) - [c55]Yifeng Li, Alioune Ngom:
Data integration in machine learning. BIBM 2015: 1665-1671 - 2014
- [j23]Yifeng Li, Alioune Ngom:
Versatile sparse matrix factorization: Theory and applications. Neurocomputing 145: 23-29 (2014) - [c52]Yifeng Li, Richard J. Caron, Alioune Ngom:
A decomposition method for large-scale sparse coding in representation learning. IJCNN 2014: 3732-3738 - 2013
- [j21]Yifeng Li, Alioune Ngom:
Sparse representation approaches for the classification of high-dimensional biological data. BMC Syst. Biol. 7(S-4): S6 (2013) - [j20]Yifeng Li, Alioune Ngom:
Classification approach based on non-negative least squares. Neurocomputing 118: 41-57 (2013) - [j19]Yifeng Li, Alioune Ngom:
The non-negative matrix factorization toolbox for biological data mining. Source Code Biol. Medicine 8: 10 (2013) - [j18]Yifeng Li, Alioune Ngom:
Nonnegative Least-Squares Methods for the Classification of High-Dimensional Biological Data. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 447-456 (2013) - [c51]Yifeng Li, B. John Oommen, Alioune Ngom, Luis Rueda:
A New Paradigm for Pattern Classification: Nearest Border Techniques. Australasian Conference on Artificial Intelligence 2013: 441-446 - [c49]Yifeng Li, Alioune Ngom:
The max-min high-order dynamic Bayesian network learning for identifying gene regulatory networks from time-series microarray data. CIBCB 2013: 83-90 - [c46]Yifeng Li, Alioune Ngom:
Versatile Sparse Matrix Factorization and Its Applications in High-Dimensional Biological Data Analysis. PRIB 2013: 91-101 - [c45]Iman Rezaeian, Yifeng Li, Martin Crozier, Eran Andrechek, Alioune Ngom, Luis Rueda, Lisa A. Porter:
Identifying Informative Genes for Prediction of Breast Cancer Subtypes. PRIB 2013: 138-148 - 2012
- [c44]Yifeng Li, Alioune Ngom:
Fast sparse representation approaches for the classification of high-dimensional biological data. BIBM 2012: 1-6 - [c43]Yifeng Li, Alioune Ngom:
A new Kernel non-negative matrix factorization and its application in microarray data analysis. CIBCB 2012: 371-378 - [c42]Yifeng Li, Alioune Ngom:
Fast Kernel Sparse Representation Approaches for Classification. ICDM 2012: 966-971 - [c41]Yifeng Li, Alioune Ngom:
Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification. ICMLA (1) 2012: 439-443 - [c40]Yifeng Li, Alioune Ngom, Luis Rueda:
A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm. PRIB 2012: 38-48 - [c39]Yifeng Li, Alioune Ngom:
Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine. PRIB 2012: 198-209 - 2010
- [c35]Yifeng Li, Numanul Subhani, Alioune Ngom, Luis Rueda:
Alignment-based versus variation-based transformation methods for clustering microarray time-series data. BCB 2010: 53-61 - [c33]Yifeng Li, Alioune Ngom:
Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data. BIBM 2010: 438-443 - [c32]Numanul Subhani, Yifeng Li, Alioune Ngom, Luis Rueda:
Alignment versus variation methods for clustering microarray time-series data. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c31]Yifeng Li, Alioune Ngom:
Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods. CIBB 2010: 275-286 - [c30]Yifeng Li, Alioune Ngom, Luis Rueda:
Missing value imputation methods for gene-sample-time microarray data analysis. CIBCB 2010: 1-7
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