A two phase clustering method for intelligent customer segmentation M Namvar, MR Gholamian, S KhakAbi 2010 International conference on intelligent systems, modelling and …, 2010 | 106 | 2010 |
Drug–target interaction prediction from PSSM based evolutionary information Z Mousavian, S Khakabimamaghani, K Kavousi, A Masoudi-Nejad Journal of pharmacological and toxicological methods 78, 42-51, 2016 | 89 | 2016 |
A genetic algorithm for minimizing total tardiness/earliness of weighted jobs in a batched delivery system A Hamidinia, S Khakabimamaghani, MM Mazdeh, M Jafari Computers & Industrial Engineering 62 (1), 29-38, 2012 | 71 | 2012 |
QuateXelero: an accelerated exact network motif detection algorithm S Khakabimamaghani, I Sharafuddin, N Dichter, I Koch, A Masoudi-Nejad PloS one 8 (7), e68073, 2013 | 62 | 2013 |
GelClust: a software tool for gel electrophoresis images analysis and dendrogram generation S Khakabimamaghani, A Najafi, R Ranjbar, M Raam Computer methods and programs in biomedicine 111 (2), 512-518, 2013 | 37 | 2013 |
Data mining applications in customer churn management S KhakAbi, MR Gholamian, M Namvar 2010 international conference on intelligent systems, modelling and …, 2010 | 28 | 2010 |
An approach to optimised customer segmentation and profiling using RFM, LTV, and demographic features M Namvar, S Khakabimamaghani, MR Gholamian International Journal of Electronic Customer Relationship Management 5 (3-4 …, 2011 | 21 | 2011 |
Collaborative intra-tumor heterogeneity detection S Khakabimamaghani, S Malikic, J Tang, D Ding, R Morin, ... Bioinformatics 35 (14), i379-i388, 2019 | 13 | 2019 |
Bayesian biclustering for patient stratification S Khakabimamaghani, M Ester Biocomputing 2016: Proceedings of the Pacific Symposium, 345-356, 2016 | 13 | 2016 |
CytoKavosh: a Cytoscape plug-in for finding network motifs in large biological networks A Masoudi-Nejad, M Ansariola, Z Razaghi Moghadam Kashani, ... Public Library of Science 7 (8), e43287, 2012 | 13 | 2012 |
Reporting and design of randomized controlled trials for COVID-19: A systematic review A Dillman, JJH Park, MJ Zoratti, NE Zannat, Z Lee, L Dron, G Hsu, G Smith, ... Contemporary Clinical Trials 101, 106239, 2021 | 12 | 2021 |
Uncovering the subtype-specific temporal order of cancer pathway dysregulation S Khakabimamaghani, D Ding, O Snow, M Ester PLoS computational biology 15 (11), e1007451, 2019 | 9 | 2019 |
Identification of differentially expressed gene modules in heterogeneous diseases O Zolotareva, S Khakabimamaghani, OI Isaeva, Z Chervontseva, ... Bioinformatics 37 (12), 1691-1698, 2021 | 6 | 2021 |
Substra: supervised bayesian patient stratification S Khakabimamaghani, YD Kelkar, BM Grande, RD Morin, M Ester, ... Bioinformatics 35 (18), 3263-3272, 2019 | 6 | 2019 |
Enhancing ensemble performance through feature selection and hybridization S Khakabimamaghani, F Barzinpour, MR Gholamian International Journal of Information Processing and Management 2 (2), 2011 | 6 | 2011 |
A high diversity hybrid ensemble of classifiers S Khakabimamaghani, F Barzinpour, MR Gholamian The 2nd International Conference on Software Engineering and Data Mining …, 2010 | 6 | 2010 |
Aristotle: stratified causal discovery for omics data M Mansouri, S Khakabimamaghani, L Chindelevitch, M Ester BMC bioinformatics 23 (1), 42, 2022 | 3 | 2022 |
Electronic Business Model Selection Based on Firm’s Intellectual Capital M Namvar, MR Gholamian, S KhakAbi Proceeding of 8th International Conference on e-Business, Bangkok, 132-140, 2009 | 3 | 2009 |
An Ontology for E-Business Models Based on SCOPE of CRM S KhakAbi, MR Gholamian, M Namvar Proceedings of 8th International Conference on e-Business (iNCEB2009), 124-131, 2009 | 2 | 2009 |
Fractal Analysis of DNA by Nonlinear Genome Signal Processing for Exon and Intron Separation A Karmi, A Najafi, P Gifani, S Khakabimamaghani Annual Research & Review in Biology 4 (4), 699-708, 2013 | 1 | 2013 |