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Zeehasham Rasheed
Zeehasham Rasheed
PhD, Adjunct Professor at Computer Science and Information Systems Technology Department, George
Verified email at gmu.edu - Homepage
Title
Cited by
Cited by
Year
Solid-phase microextraction and the human fecal VOC metabolome
E Dixon, C Clubb, S Pittman, L Ammann, Z Rasheed, N Kazmi, ...
PloS one 6 (4), e18471, 2011
962011
Multi-category bioinformatics dataset classification using extreme learning machine
T Helmy, Z Rasheed
2009 IEEE Congress on Evolutionary Computation, 3234-3240, 2009
402009
Skew estimation and correction of text using bounding box
M Sarfraz, Z Rasheed
2008 Fifth International Conference on Computer Graphics, Imaging and …, 2008
392008
Metagenomic taxonomic classification using extreme learning machines
Z Rasheed, H Rangwala
Journal of bioinformatics and computational biology 10 (05), 1250015, 2012
342012
A map-reduce framework for clustering metagenomes
Z Rasheed, H Rangwala
2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013
312013
On skew estimation and correction of text
M Sarfraz, SA Mahmoud, Z Rasheed
Computer Graphics, Imaging and Visualisation (CGIV 2007), 308-313, 2007
292007
16S rRNA metagenome clustering and diversity estimation using locality sensitive hashing
Z Rasheed, H Rangwala, D Barbarį
BMC systems biology 7, 1-13, 2013
282013
Extreme learning machine as maintainability prediction model for object-oriented software systems
SO Olatunji, Z Rasheed, KA Sattar, AM Al-Mana, M Alshayeb, ...
Journal of Computing 2 (8), 49-56, 2010
232010
Mc-minh: Metagenome clustering using minwise based hashing
Z Rasheed, H Rangwala
Proceedings of the 2013 SIAM International Conference on Data Mining, 677-685, 2013
222013
LSH-Div: Species diversity estimation using locality sensitive hashing
Z Rasheed, H Rangwala, D Barbara
2012 IEEE International Conference on Bioinformatics and Biomedicine, 1-6, 2012
202012
Efficient Clustering of Metagenomic Sequences using Locality Sensitive Hashing
Z Rasheed, H Rangwala, D Barbarį
17*
Independent Job Scheduling by Fuzzy C-Mean Clustering and an Ant Optimization Algorithm in a Computation Grid.
T Helmy, Z Rasheed
IAENG International Journal of Computer Science 37 (2), 2010
152010
Machine learning approaches for metagenomics
H Rangwala, A Charuvaka, Z Rasheed
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
92014
TAC-ELM: Metagenomic Taxonomic Classification with Extreme Learning Machines
Z Rasheed, H Rangwala
6*
Adaptive fuzzy logic-based framework for handling imprecision and uncertainty in classification of bioinformatics datasets
T Helmy, Z Rasheed, M Al-Mulhem
International Journal of Computational Methods 8 (03), 513-534, 2011
52011
Data mining framework for metagenome analysis
Z Rasheed
George Mason University, 2013
22013
MC-MinH: Metagenome Clustering using Minwise based Hashing.
H Rangwala, Z Rasheed, Z Rasheed, H Rangwala
SDM, 677-685, 2013
12013
A short introduction to some recent progress in phylogenetic network reconstruction, genome mapping, gene expression analysis, molecular dynamic simulation, and other problems …
L Wong
Journal of Bioinformatics and Computational Biology 10 (04), 1203002, 2012
12012
Colony of cooperating agents based independent job scheduling in a computation grid
T Helmy, Z Rasheed
International Journal of Intelligent Computing and Cybernetics 4 (2), 243-264, 2011
12011
Adaptive Fuzzy Logic Based Framework for Handling Imprecision and Uncertainty in Pattern Classification of Bioinformatics Datasets
Z Rasheed
King Fahd University of Petroleum and Minerals, 2009
12009
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