Forest PA: Constructing a decision forest by penalizing attributes used in previous trees MN Adnan, MZ Islam Expert Systems with Applications 89, 389-403, 2017 | 119 | 2017 |
Optimizing the number of trees in a decision forest to discover a subforest with high ensemble accuracy using a genetic algorithm MN Adnan, MZ Islam Knowledge-Based Systems 110, 86-97, 2016 | 76 | 2016 |
Business Model of E-Tourism for Developing Countries MNA Mohammod Akbar Kabir, Kawsar Jahan International Journal of Computer and Information Technology (IJCIT) 3 (01 …, 2012 | 45* | 2012 |
One-vs-all binarization technique in the context of random forest. MN Adnan, MZ Islam ESANN, 2015 | 42 | 2015 |
Forex++: A new framework for knowledge discovery from decision forests MN Adnan, MZ Islam Australasian Journal of Information Systems 21, 2017 | 36 | 2017 |
Forest CERN: a new decision forest building technique MN Adnan, MZ Islam Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016 | 35 | 2016 |
A comprehensive method for attribute space extension for random forest MN Adnan, MZ Islam 2014 17th International Conference on Computer and Information Technology …, 2014 | 19 | 2014 |
Extended space decision tree MN Adnan, MZ Islam, PWH Kwan Machine Learning and Cybernetics: 13th International Conference, Lanzhou …, 2014 | 16 | 2014 |
On reinforcing automatic teller machine (ATM) transaction authentication security process by imposing behavioral biometrics PC Mondal, R Deb, MN Adnan 2017 4th International Conference on Advances in Electrical Engineering …, 2017 | 14 | 2017 |
A new external sorting algorithm with no additional disk space R Islam, N Adnan, N Islam, S Hossen Information Processing Letters 86 (5), 229-233, 2003 | 14 | 2003 |
BDF: a new decision forest algorithm MN Adnan, RHL Ip, M Bewong, MZ Islam Information Sciences 569, 687-705, 2021 | 13 | 2021 |
ComboSplit: combining various splitting criteria for building a single decision tree MN Adnan, MZ Islam International Conference on Artificial Intelligence and Pattern Recognition, 1-8, 2014 | 12 | 2014 |
Emotion recognition of human speech using deep learning method and MFCC features SK Hazra, RR Ema, SM Galib, S Kabir, N Adnan Radioelectronic and Computer Systems, 161-172, 2022 | 11 | 2022 |
On dynamic selection of subspace for random forest MN Adnan Advanced Data Mining and Applications: 10th International Conference, ADMA …, 2014 | 10 | 2014 |
Improving the random forest algorithm by randomly varying the size of the bootstrap samples for low dimensional data sets. MN Adnan, MZ Islam ESANN, 2015 | 9 | 2015 |
Complement random forest MN Adnan, MZ Islam The 13th Australasian Data Mining Conference: AusDM 2015, 89-97, 2015 | 7 | 2015 |
Improving the random forest algorithm by randomly varying the size of the bootstrap samples MN Adnan Proceedings of the 2014 IEEE 15th International Conference on Information …, 2014 | 7 | 2014 |
Clustering software systems to identify subsystem structures using knowledgebase MN Adnan, MR Islam, S Hossain 2011 Malaysian Conference in Software Engineering, 445-450, 2011 | 7 | 2011 |
Decision Tree and Decision Forest Algorithms: On Improving Accuracy, Efficiency and Knowledge Discovery MN Adnan Charles Sturt University, 2017 | 6 | 2017 |
Effects of dynamic subspacing in random forest MN Adnan, MZ Islam Advanced Data Mining and Applications: 13th International Conference, ADMA …, 2017 | 6 | 2017 |