Md Rafiul Hassan
Md Rafiul Hassan
Associate Professor, Information and Computer Science, King Fahd University of Petroleum & Minerals
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Stock market forecasting using hidden Markov model: a new approach
MR Hassan, B Nath
5th International Conference on Intelligent Systems Design and Applications …, 2005
A fusion model of HMM, ANN and GA for stock market forecasting
MR Hassan, B Nath, M Kirley
Expert systems with Applications 33 (1), 171-180, 2007
Designing smart homes: the role of artificial intelligence
JC Augusto, CD Nugent
Springer, 2006
Adaptive workflow scheduling for dynamic grid and cloud computing environment
M Rahman, R Hassan, R Ranjan, R Buyya
Concurrency and Computation: Practice and Experience 25 (13), 1816-1842, 2013
A combination of hidden Markov model and fuzzy model for stock market forecasting
MR Hassan
Neurocomputing 72 (16-18), 3439-3446, 2009
A hybrid feature extraction method with regularized extreme learning machine for brain tumor classification
A Gumaei, MM Hassan, MR Hassan, A Alelaiwi, G Fortino
IEEE Access 7, 36266-36273, 2019
Bengali phoneme recognition: a new approach
MR Hassan, B Nath, MA Bhuiyan
Proc. 6th international conference on computer and information technology …, 2003
A HMM-based adaptive fuzzy inference system for stock market forecasting
MR Hassan, K Ramamohanarao, J Kamruzzaman, M Rahman, ...
Neurocomputing 104, 10-25, 2013
A hybrid of multiobjective Evolutionary Algorithm and HMM-Fuzzy model for time series prediction
MR Hassan, B Nath, M Kirley, J Kamruzzaman
Neurocomputing 81, 1-11, 2012
Artificial neural networks in smart homes
R Begg, R Hassan
Designing smart homes, 146-164, 2006
Breast-cancer identification using HMM-fuzzy approach
MR Hassan, MM Hossain, RK Begg, K Ramamohanarao, Y Morsi
Computers in Biology and Medicine 40 (3), 240-251, 2010
Jaccard index based availability prediction in enterprise grids
M Rahman, MR Hassan, R Buyya
Procedia Computer Science 1 (1), 2707-2716, 2010
ROC-tree: A novel decision tree induction algorithm based on receiver operating characteristics to classify gene expression data
MM Hossain, MR Hassan, J Bailey
Proceedings of the 2008 SIAM International Conference on Data Mining, 455-465, 2008
Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics
MR Hassan, MM Hossain, J Bailey, K Ramamohanarao
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
Network topology measures for identifying disease-gene association in breast cancer
E Ramadan, S Alinsaif, MR Hassan
BMC bioinformatics 17 (7), 473-480, 2016
A data clustering algorithm based on single hidden markov model
M Hassan
Proc. of the Intl. Multiconf. on Computer Science and Information Technology …, 2006
A novel scalable multi-class ROC for effective visualization and computation
MR Hassan, K Ramamohanarao, C Karmakar, MM Hossain, J Bailey
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 107-120, 2010
A machine learning approach for prediction of pregnancy outcome following IVF treatment
MR Hassan, S Al-Insaif, MI Hossain, J Kamruzzaman
Neural computing and applications 32 (7), 2283-2297, 2020
HMM based fuzzy model for time series prediction
R Hassan, B Nath, M Kirley
2006 IEEE International Conference on Fuzzy Systems, 2120-2126, 2006
Hydraulic unit prediction using support vector machine
SS Ali, S Nizamuddin, A Abdulraheem, MR Hassan, ME Hossain
Journal of Petroleum Science and Engineering 110, 243-252, 2013
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