Alioune Ngom

Yifeng Li, Alioune Ngom: Fast sparse representation approaches for the classification of high-dimensional biological data. BIBM 2012: 1-6

Yifeng Li, Alioune Ngom: A new Kernel non-negative matrix factorization and its application in microarray data analysis. CIBCB 2012: 371-378

Yifeng Li, Alioune Ngom: Fast Kernel Sparse Representation Approaches for Classification. ICDM 2012: 966-971

Yifeng Li, Alioune Ngom: Supervised Dictionary Learning via Non-negative Matrix Factorization for Classification. ICMLA (1) 2012: 439-443

Yifeng Li, Alioune Ngom, Luis Rueda: A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm. PRIB 2012: 38-48

Yifeng Li, Alioune Ngom: Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine. PRIB 2012: 198-209

Darío Rojas, Luis Rueda, Alioune Ngom, Homero Urrutia, Gerardo Carcamo: Image segmentation of biofilm structures using optimal multi-level thresholding. IJDMB 5(3): 266-286 (2011)

Zina M. Ibrahim, Alioune Ngom, Ahmed Y. Tawfik: Using Qualitative Probability in Reverse-Engineering Gene Regulatory Networks. IEEE/ACM Trans. Comput. Biology Bioinform. 8(2): 326-334 (2011)

Amirali Jafarian, Alioune Ngom, Luis Rueda: A Novel Recursive Feature Subset Selection Algorithm. BIBE 2011: 78-83

Amirali Jafarian, Alioune Ngom: A new gene subset selection approach based on linearly separating gene pairs. ICCABS 2011: 105-110

Amirali Jafarian, Alioune Ngom, Luis Rueda: New Gene Subset Selection Approaches Based on Linear Separating Genes and Gene-Pairs. PRIB 2011: 50-62

Numanul Subhani, Luis Rueda, Alioune Ngom, Conrad J. Burden: Multiple gene expression profile alignment for microarray time-series data clustering. Bioinformatics 26(18): 2281-2288 (2010)

Madhu Chetty, Alioune Ngom, Elena Marchiori: Computational Intelligence in Bioinformatics. Neurocomputing 73(13-15): 2291-2292 (2010)

Laleh Soltan Ghoraie, Robin Gras, Lili Wang, Alioune Ngom: Optimal decoding and minimal length for the non-unique oligonucleotide probe selection problem. Neurocomputing 73(13-15): 2407-2418 (2010)

Xin Wu, Arunita Jaekel, Ataul Bari, Alioune Ngom: Optimized Hybrid Resource Allocation in Wireless Cellular Networks with and without Channel Reassignment. Journal Comp. Netw. and Communic. 2010 (2010)

Alioune Ngom, Luis Rueda, Lili Wang, Robin Gras: Selection based heuristics for the non-unique oligonucleotide probe selection problem in microarray design. Pattern Recognition Letters 31(14): 2113-2125 (2010)

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

Zina M. Ibrahim, Alioune Ngom, Ahmed Y. Tawfik: A dynamic qualitative probabilistic network approach for extracting gene regulatory network motifs. BIBM 2010: 380-385

Yifeng Li, Alioune Ngom: Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data. BIBM 2010: 438-443

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

Yifeng Li, Alioune Ngom: Classification of Clinical Gene-Sample-Time Microarray Expression Data via Tensor Decomposition Methods. CIBB 2010: 275-286

Yifeng Li, Alioune Ngom, Luis Rueda: Missing value imputation methods for gene-sample-time microarray data analysis. CIBCB 2010: 1-7

Numanul Subhani, Luis Rueda, Alioune Ngom, Conrad J. Burden: New approaches to clustering microarray time-series data using multiple expression profile alignment. CIBCB 2010: 1-7

Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom: A Surprise-Based Qualitative Probability Calculus II. FLAIRS Conference 2010

Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom: Qualitative Motif Detection in Gene Regulatory Networks. BIBM 2009: 124-129

Darío Rojas, Luis Rueda, Alioune Ngom, Homero Urrutia, Gerardo Carcamo: Biofilm Image Segmentation Using Optimal Multi-level Thresholding. BIBM 2009: 185-190

Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom: Surprise-Based Qualitative Probabilistic Networks. ECSQARU 2009: 228-239

Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom: A Surprise-based Qualitative Calculus. FLAIRS Conference 2009

Xin Wu, Arunita Jaekel, Ataul Bari, Alioune Ngom: Optimized Hybrid Resource Allocation in Wireless Cellular Networks with and without Channel Reassignment. ITNG 2009: 1146-1151

Darío Rojas, Luis Rueda, Homero Urrutia, Alioune Ngom: Efficient Optimal Multi-level Thresholding for Biofilm Image Segmentation. PRIB 2009: 307-318

Laleh Soltan Ghoraie, Robin Gras, Lili Wang, Alioune Ngom: Bayesian Optimization Algorithm for the Non-unique Oligonucleotide Probe Selection Problem. PRIB 2009: 365-376

Numanul Subhani, Alioune Ngom, Luis Rueda, Conrad J. Burden: Microarray Time-Series Data Clustering via Multiple Alignment of Gene Expression Profiles. PRIB 2009: 377-390

Luis Rueda, Ataul Bari, Alioune Ngom: Clustering Time-Series Gene Expression Data with Unequal Time Intervals. T. Comp. Sys. Biology 10: 100-123 (2008)

Lili Wang, Alioune Ngom, Robin Gras, Luis Rueda: An Evolutionary Approach to the Non-unique Oligonucleotide Probe Selection Problem. T. Comp. Sys. Biology 10: 143-162 (2008)

Lili Wang, Alioune Ngom, Robin Gras: Non-unique oligonucleotide microarray probe selection method based on genetic algorithms. IEEE Congress on Evolutionary Computation 2008: 1004-1010

Lili Wang, Alioune Ngom, Robin Gras, Luis Rueda: Evolution strategy with greedy probe selection heuristics for the non-unique oligonucleotide probe selection problem. CIBCB 2008: 54-61

Lili Wang, Alioune Ngom, Luis Rueda: Sequential Forward Selection Approach to the Non-unique Oligonucleotide Probe Selection Problem. PRIB 2008: 262-275

Madhu Chetty, Alioune Ngom, Shandar Ahmad (Eds.): Pattern Recognition in Bioinformatics, Third IAPR International Conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008. Proceedings. Lecture Notes in Computer Science 5265, Springer 2008, isbn 978-3-540-88434-7

Corrado Priami, Falko Dressler, Özgür B. Akan, Alioune Ngom (Eds.): Transactions on Computational Systems Biology X. Lecture Notes in Computer Science 5410, Springer 2008, isbn 978-3-540-92272-8

Wei Yang, Luis Rueda, Alioune Ngom: On Finding the Best Parameters of Fuzzy k-Means for Clustering Microarray Data. Multiple-Valued Logic and Soft Computing 13(1-2): 145-178 (2007)

Zina M. Ibrahim, Ahmed Y. Tawfik, Alioune Ngom: A Qualitative Hidden Markov Model for Spatio-temporal Reasoning. ECSQARU 2007: 707-718

Alioune Ngom: Parallel evolution strategy on grids for the protein threading problem. J. Parallel Distrib. Comput. 66(12): 1489-1502 (2006)

Leon French, Alioune Ngom, Luis Rueda: Fast Protein Superfamily Classification Using Principal Component Null Space Analysis. Canadian Conference on AI 2005: 158-169

Mona Aggarwal, Robert D. Kent, Alioune Ngom: Genetic Algorithm Based Scheduler for Computational Grids. HPCS 2005: 209-215

Wei Yang, Luis Rueda, Alioune Ngom: A simulated annealing approach to find the optimal parameters for fuzzy clustering microarray data. SCCC 2005: 45-54

Rafiqul Islam, Alioune Ngom: Parallel evolution strategy for protein threading. SCCC 2005: 74-83

Luis Rueda, Alioune Ngom: An Empirical Evaluation of the Classification Error of Two Thresholding Methods for Fisher's Classifier. IC-AI 2004: 837-842

Alioune Ngom, Dan A. Simovici, Ivan Stojmenovic: Evolutionary Strategy for Learning Multiple-Valued Logic Functions. ISMVL 2004: 154-160

Alioune Ngom, Ivan Stojmenovic, Jovisa D. Zunic: On the number of multilinear partitions and the computing capacity of multiple-valued multiple-threshold perceptrons. IEEE Transactions on Neural Networks 14(3): 469-477 (2003)

Alioune Ngom, Ivan Stojmenovic, Ratko Tosic: The Computing Capacity of Three-Input Multiple-Valued One-Threshold Perceptrons. Neural Processing Letters 14(2): 141-155 (2001)

Alioune Ngom, Ivan Stojmenovic, Veljko Milutinovic: STRIP - a strip-based neural-network growth algorithm for learning multiple-valued functions. IEEE Transactions on Neural Networks 12(2): 212-227 (2001)

Alioune Ngom, Corina Reischer, Dan A. Simovici, Ivan Stojmenovic: Learning with Permutably Homogeneous Multiple-Valued Multiple-Threshold Perceptrons. Neural Processing Letters 12(1): 71-90 (2000)

Alioune Ngom, Ivan Stojmenovic, Ratko Tosic: The Computing Capacity of Three-Input Multiple-Valued One-Threshold Perceptrons. ISMVL 2000: 33-

Alioune Ngom, Ivan Stojmenovic, Jovisa D. Zunic: On the Number of Multilinear Partitions and the Computing Capacity of Multiple-Valued Multiple-Threshold Perceptrons. ISMVL 1999: 208-213

Alioune Ngom, Corina Reischer, Dan A. Simovici, Ivan Stojmenovic: Learning with Permutably Homogenous Multiple-Valued Multiple-Threshold Perceptrons. ISMVL 1998: 161-166

Alioune Ngom, Ivan Stojmenovic, Zoran Obradovic: Minimization of Multivalued Multithreshold Perceptrons using Genetic Algorithms. ISMVL 1998: 209-214

Alioune Ngom, Corina Reischer, Dan A. Simovici, Ivan Stojmenovic: Completeness Criteria in Set-Valued Logic Under Compositions with Union and Intersection. ISMVL 1997: 75-82

Alioune Ngom, Corina Reischer, Ivan Stojmenovic: Classification of Functions and Enumeration of Bases of Set Logic under Boolean Compositions. ISMVL 1995: 78-85