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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.
Person information
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
- [c16]Mohammad Masudur Rahman, Dewan Md. Farid:
Exploring Federated Learning with Naïve Bayes using AVC Information. ICCCNT 2023: 1-6 - [c15]Dipu Saha, Mainul Karim, Suriya Phongmoo, Dewan Md. Farid:
A Privacy-Preserving Approach for Big Data Mining Using RainForest with Federated Learning. TENCON 2023: 59-64 - [i10]Niful Islam, Debopom Sutradhar, Humaira Noor, Jarin Tasnim Raya, Monowara Tabassum Maisha, Dewan Md. Farid:
Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning. CoRR abs/2306.01761 (2023) - 2022
- [c14]Ahmed Shabab Noor, Muhib Al Hasan, Ahmed Rafi Hasan, Rezab Ud Dawla, Afsana Airin, Akib Zaman, Dewan Md. Farid:
The Impact of Data Locality on the Performance of Cluster-Based Under-Sampling. MIET (2) 2022: 204-215 - [c13]Afsana Airin, Rezab Ud Dawla, Ahmed Shabab Noor, Muhib Al Hasan, Ahmed Rafi Hasan, Akib Zaman, Dewan Md. Farid:
Attention-Based Scene Graph Generation: A Review. SKIMA 2022: 210-215 - [c12]Abdullah Al Masud, Sabbir Hossain, Muhsina Rifa, Farhana Akter, Akib Zaman, Dewan Md. Farid:
Meta-Learning in Supervised Machine Learning. SKIMA 2022: 222-227 - [c11]Saleh Akram Joy, Arefin Ittesafun Abian, Shifa Chowdhury Iwase, Syed Ishtiak Rahman, Juairia, Tapotosh Ghosh, Dewan Md. Farid:
Agriculture 4.0 in Bangladesh: Issues and Challenges. SKIMA 2022: 245-250 - [c10]Akib Zaman, Anika Tahsin, Mostafizur Rahman, Rabeya Akhter, Hinoy Rahman, Shobnom Mustary, Dewan Md. Farid:
Emotion Detection for Children on the Autism Spectrum using BCI and Web Technology. WI/IAT 2022: 207-214 - 2020
- [i9]Alif Choyon, Ashiqur Rahman, Md. Hasanuzzaman, Dewan Md. Farid, Swakkhar Shatabda:
PRESa2i: incremental decision trees for prediction of Adenosine to Inosine RNA editing sites. F1000Research 9: 262 (2020)
2010 – 2019
- 2019
- [j8]Rafsanjani Muhammod, Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, Alok Sharma, Abdollah Dehzangi:
PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences. Bioinform. 35(19): 3831-3833 (2019) - [c9]Md. Yasir Arafat, Sabera Hoque, Shuxiang Xu, Dewan Md. Farid:
An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification. SKIMA 2019: 1-6 - [c8]Shabnam Sabah, Sara Zumerrah Binte Anwar, Sadia Afroze, Md. Abulkalam Azad, Swakkhar Shatabda, Dewan Md. Farid:
Big Data with Decision Tree Induction. SKIMA 2019: 1-6 - 2018
- [j7]Md. Rafsan Jani, Md Toha Khan Mozlish, Sajid Ahmed, Niger Sultana Tahniat, Dewan Md. Farid, Swakkhar Shatabda:
iRecSpot-EF: Effective sequence based features for recombination hotspot prediction. Comput. Biol. Medicine 103: 17-23 (2018) - [j6]M. Abdulla Al Mamun, Worawut Srisukkham, Dewan Md. Farid, Lorna Ravenhill, Li Zhang, M. Alamgir Hossain, Rosemary Bass:
A quantitative image analysis for the cellular cytoskeleton during in vitro tumor growth. Expert Syst. Appl. 92: 39-51 (2018) - [c7]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 - [c6]Md. Ochiuddin Miah, Al Maruf Hassan, Khondaker Abdullah Al Mamun, Dewan Md. Farid:
Brain-Machine Interface for Developing Virtual-Ball Movement Controlling Game. IJCCI 2018: 607-616 - [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
- [c5]Md. Yasir Arafat, Sabera Hoque, Dewan Md. Farid:
Cluster-based under-sampling with random forest for multi-class imbalanced classification. SKIMA 2017: 1-6 - [c4]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) - 2016
- [j5]Dewan Md. Farid, M. Abdulla Al Mamun, Bernard Manderick, Ann Nowé:
An adaptive rule-based classifier for mining big biological data. Expert Syst. Appl. 64: 305-316 (2016) - [c3]Dewan Md. Farid, Ann Nowé, Bernard Manderick:
Ensemble of Trees for Classifying High-Dimensional Imbalanced Genomic Data. IntelliSys (1) 2016: 172-187 - [c2]Isel Grau, Dipankar Sengupta, Dewan Md. Farid, Bernard Manderick, Ann Nowé, María Matilde García Lorenzo, Dorien Daneels, Maryse Bonduelle, Didier Croes, Sonia Van Dooren:
Genomic Variant Classifier Tool. IntelliSys (1) 2016: 453-456 - 2014
- [j4]Dewan Md. Farid, Li Zhang, Chowdhury Mofizur Rahman, M. Alamgir Hossain, Rebecca Strachan:
Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks. Expert Syst. Appl. 41(4): 1937-1946 (2014) - [c1]M. Abdulla Al Mamun, Lorna Ravenhill, M. Alamgir Hossain, Dewan Md. Farid, Rosemary Bass:
Fractal and image analysis of cytoskeletal changes in tumour cells due to the effects of maspin. BHI 2014: 209-212 - [i3]Muktadir Hossain, Tajkia Tasnim, Swakkhar Shatabda, Dewan Md. Farid:
Stochastic Local Search for Pattern Set Mining. CoRR abs/1412.5984 (2014) - 2013
- [j3]Li Zhang, Ming Jiang, Dewan Md. Farid, M. Alamgir Hossain:
Intelligent facial emotion recognition and semantic-based topic detection for a humanoid robot. Expert Syst. Appl. 40(13): 5160-5168 (2013) - [j2]Dewan Md. Farid, Li Zhang, M. Alamgir Hossain, Chowdhury Mofizur Rahman, Rebecca Strachan, Graham Sexton, Keshav P. Dahal:
An adaptive ensemble classifier for mining concept drifting data streams. Expert Syst. Appl. 40(15): 5895-5906 (2013) - 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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last updated on 2024-07-25 20:18 CEST by the dblp team
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