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ORCIDMd. Nasim Adnan
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- affiliation: Bangladesh Bank, Head Office, Dhaka, Bangladesh
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2020 – today
- 2024
[j9]Ryan H. L. Ip
, Michael Bewong, Md. Nasim Adnan, Md Zahidul Islam:
Estimating the structural diversity introduced by decision forest algorithms : A probabilistic approach. Knowl. Based Syst. 286: 111435 (2024)- 2023
- [j8]Prothama Sardar, Romana Rahman Ema, Sk. Shalauddin Kabir, Md. Nasim Adnan, Syed Md. Galib:
Severity Stage Identification and Pest Detection of Tomato Disease Using Deep Learning. Int. J. Comput. 22(2): 191-201 (2023) - [c13]Md. Nasim Adnan:
Exploration of Stochastic Selection of Splitting Attributes as a Source of Inducing Diversity. ADMA (5) 2023: 237-249 - [c12]Md Apu Hosen, Shahadat Hoshen Moz, Md. Nasim Adnan:
An Innovative Two-way Recommender System for Students and Teachers. ICCCNT 2023: 1-5 - 2022
- [j7]Mustain Billah, Md. Nasim Adnan, Mostafijur Rahman Akhond, Romana Rahman Ema, Md. Alam Hossain, Syed Md. Galib:
Rainfall prediction system for Bangladesh using long short-term memory. Open Comput. Sci. 12(1): 323-331 (2022) - [c11]Md. Nasim Adnan:
On Reducing the Bias of Random Forest. ADMA (2) 2022: 187-195 - [i2]Mustain Billah, Md. Mynoddin, Mostafijur Rahman Akhond, Md. Nasim Adnan, Syed Md. Galib, Rizwanur Rahad, M. Nurujjaman Khan:
A Systematic Study and Analysis of Bengali Folklore with Natural Language Processing Systems. CoRR abs/2203.06607 (2022) - 2021
- [j6]Md. Nasim Adnan, Ryan H. L. Ip, Michael Bewong, Md Zahidul Islam:
BDF: A new decision forest algorithm. Inf. Sci. 569: 687-705 (2021) - 2020
- [j5]Abu Sadat Mohammed Yasin, Md. Majharul Haque, Md. Nasim Adnan, Sonia Rahnuma, Anowar Hossain, Kallol Naha, Mohammod Akbar Kabir, Francesc Serratosa:
Localization of Autonomous Robot in an Urban Area Based on SURF Feature Extraction of Images. Int. J. Technol. Diffusion 11(4): 18-45 (2020)
2010 – 2019
- 2018
- [c10]Md. Nasim Adnan, Md Zahidul Islam, Md. Mostofa Akbar:
On Improving the Prediction Accuracy of a Decision Tree Using Genetic Algorithm. ADMA 2018: 80-94 - 2017
- [j4]Md. Nasim Adnan, Md Zahidul Islam:
ForEx++: A New Framework for Knowledge Discovery from Decision Forests. Australas. J. Inf. Syst. 21 (2017) - [j3]Md. Nasim Adnan, Md Zahidul Islam:
Forest PA: Constructing a decision forest by penalizing attributes used in previous trees. Expert Syst. Appl. 89: 389-403 (2017) - [c9]Md. Nasim Adnan, Md Zahidul Islam:
Effects of Dynamic Subspacing in Random Forest. ADMA 2017: 303-312 - 2016
- [j2]Md. Nasim Adnan, Md Zahidul Islam:
Optimizing the number of trees in a decision forest to discover a subforest with high ensemble accuracy using a genetic algorithm. Knowl. Based Syst. 110: 86-97 (2016) - [c8]Md. Nasim Adnan, Md Zahidul Islam:
On Improving Random Forest for Hard-to-Classify Records. ADMA 2016: 558-566 - [c7]Md. Nasim Adnan, Md Zahidul Islam:
Forest CERN: A New Decision Forest Building Technique. PAKDD (1) 2016: 304-315 - 2015
- [c6]Md. Nasim Adnan, Md Zahidul Islam:
Complement Random Forest. AusDM 2015: 89-97 - [c5]Md. Nasim Adnan, Md Zahidul Islam:
One-vs-all binarization technique in the context of random forest. ESANN 2015 - [c4]Md. Nasim Adnan, Md Zahidul Islam:
Improving the random forest algorithm by randomly varying the size of the bootstrap samples for low dimensional data sets. ESANN 2015 - 2014
- [c3]Md. Nasim Adnan:
On Dynamic Selection of Subspace for Random Forest. ADMA 2014: 370-379 - [c2]Md. Nasim Adnan, Md Zahidul Islam, Paul Wing Hing Kwan:
Extended Space Decision Tree. ICMLC (CCIS volume) 2014: 219-230 - [c1]Md. Nasim Adnan:
Improving the random forest algorithm by randomly varying the size of the bootstrap samples. IRI 2014: 303-308 - 2012
- [i1]Ahmed Mehedi Nizam, Md. Nasim Adnan, Md. Rashedul Islam, Mohammad Akbar Kabir:
Properties of Stochastic Kronecker Graph. CoRR abs/1210.1300 (2012)
2000 – 2009
- 2003
- [j1]Md. Rafiqul Islam, Md. Nasim Adnan, Md. Nur Islam, Shohorab Hossen:
A new external sorting algorithm with no additional disk space. Inf. Process. Lett. 86(5): 229-233 (2003)
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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