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Dewan Md. Farid
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Dewan Md. Farid 0001
(aka: Dewan Farid 0001) — United International University, Department of Computer Science and Engineering, Dhaka, Bangladesh
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2020 – today
- 2024
- [i11]Niful Islam, Mohaiminul Islam Bhuiyan, Jarin Tasnim Raya, Nur Shazwani Kamarudin, Khan Md. Hasib, Muhammad Firoz Mridha, Dewan Md. Farid:
Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation. CoRR abs/2406.19690 (2024) - 2023
- [i10]Niful Islam
Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning. CoRR abs/2306.01761 (2023) - 2020
- [i9]Alif Choyon
PRESa2i: incremental decision trees for prediction of Adenosine to Inosine RNA editing sites. F1000Research 9: 262 (2020)
2010 – 2019
- 2019
- [j3]Rafsanjani Muhammod
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences. Bioinform. 35(19): 3831-3833 (2019) - [c5]Md. Yasir Arafat
An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification. SKIMA 2019: 1-6 - [c4]Shabnam Sabah
Big Data with Decision Tree Induction. SKIMA 2019: 1-6 - 2018
- [j2]Md. Rafsan Jani
iRecSpot-EF: Effective sequence based features for recombination hotspot prediction. Comput. Biol. Medicine 103: 17-23 (2018) - [c3]Sakib Shahriar Khan, Shakim Ahamed, Miftahul Jannat, Swakkhar Shatabda, Dewan Md. Farid:
Classification by Clustering (CbC): An Approach of Classifying Big Data Based on Similarities. IJCCI 2018: 593-605 - [i8]Farshid Rayhan, Sajid Ahmed, Zaynab Mousavian, Dewan Md. Farid, Swakkhar Shatabda:
FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction. CoRR abs/1806.07174 (2018) - 2017
- [c2]Md. Yasir Arafat
Cluster-based under-sampling with random forest for multi-class imbalanced classification. SKIMA 2017: 1-6 - [c1]Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman:
MEBoost: Mixing estimators with boosting for imbalanced data classification. SKIMA 2017: 1-6 - [i7]Farshid Rayhan, Sajid Ahmed, Swakkhar Shatabda, Dewan Md. Farid, Zaynab Mousavian, Abdollah Dehzangi, M. Sohel Rahman:
iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting. CoRR abs/1707.00994 (2017) - [i6]Sajid Ahmed, Farshid Rayhan, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman:
LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification. CoRR abs/1711.05365 (2017) - [i5]Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid:
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification. CoRR abs/1712.04356 (2017) - [i4]Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman:
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification. CoRR abs/1712.06658 (2017) - 2014
- [i3]Muktadir Hossain, Tajkia Tasnim, Swakkhar Shatabda, Dewan Md. Farid:
Stochastic Local Search for Pattern Set Mining. CoRR abs/1412.5984 (2014) - 2010
- [j1]Dewan Md. Farid, Mohammad Zahidur Rahman:
Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm. J. Comput. 5(1): 23-31 (2010) - [i2]Dewan Md. Farid, Mohammad Zahidur Rahman:
Attribute Weighting with Adaptive NBTree for Reducing False Positives in Intrusion Detection. CoRR abs/1005.0919 (2010) - [i1]Dewan Md. Farid, Nouria Harbi, Mohammad Zahidur Rahman:
Combining Naive Bayes and Decision Tree for Adaptive Intrusion Detection. CoRR abs/1005.4496 (2010)
Coauthor Index
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