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 | 111 | 2011 |
Multi-category bioinformatics dataset classification using extreme learning machine T Helmy, Z Rasheed 2009 IEEE Congress on Evolutionary Computation, 3234-3240, 2009 | 43 | 2009 |
Skew estimation and correction of text using bounding box M Sarfraz, Z Rasheed 2008 Fifth International Conference on Computer Graphics, Imaging and …, 2008 | 42 | 2008 |
16S rRNA metagenome clustering and diversity estimation using locality sensitive hashing Z Rasheed, H Rangwala, D Barbarį BMC systems biology 7, 1-13, 2013 | 38 | 2013 |
Metagenomic taxonomic classification using extreme learning machines Z Rasheed, H Rangwala Journal of bioinformatics and computational biology 10 (05), 1250015, 2012 | 38 | 2012 |
A map-reduce framework for clustering metagenomes Z Rasheed, H Rangwala 2013 IEEE International Symposium on Parallel & Distributed Processing …, 2013 | 37 | 2013 |
On skew estimation and correction of text M Sarfraz, SA Mahmoud, Z Rasheed Computer Graphics, Imaging and Visualisation (CGIV 2007), 308-313, 2007 | 32 | 2007 |
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 | 26 | 2010 |
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 | 22 | 2013 |
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 | 21 | 2012 |
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 | 17 | 2010 |
Efficient Clustering of Metagenomic Sequences using Locality Sensitive Hashing Z Rasheed, H Rangwala, D Barbarį | 16* | |
Machine learning approaches for metagenomics H Rangwala, A Charuvaka, Z Rasheed Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 10 | 2014 |
TAC-ELM: Metagenomic Taxonomic Classification with Extreme Learning Machines Z Rasheed, H Rangwala | 8* | |
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 | 7 | 2011 |
Data mining framework for metagenome analysis Z Rasheed George Mason University, 2013 | 5 | 2013 |
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 | 3 | 2011 |
GANN: A Hybrid Model for Permeability Prediction of Oil Reservoirs M Akhlaq, Z Rasheed 1st International Conference on Advanced Innovations in Smart Cities (ICAISC), 2023 | 1 | 2023 |
MC-MinH: Metagenome Clustering using Minwise based Hashing. H Rangwala, Z Rasheed, Z Rasheed, H Rangwala SDM, 677-685, 2013 | 1 | 2013 |
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 | 1 | 2012 |