Dewan Md. Farid

According to our database, Dewan Md. Farid authored at least 33 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning.

Niful Islam, Debopom Sutradhar, Humaira Noor, Jarin Tasnim Raya, Monowara Tabassum Maisha, Dewan Md. Farid

CoRR, 2023

A Privacy-Preserving Approach for Big Data Mining Using RainForest with Federated Learning.

Dipu Saha, Mainul Karim, Suriya Phongmoo, Dewan Md. Farid

Proceedings of the IEEE Region 10 Conference, 2023

Exploring Federated Learning with Naïve Bayes using AVC Information.

Mohammad Masudur Rahman, Dewan Md. Farid

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022

Emotion Detection for Children on the Autism Spectrum using BCI and Web Technology.

Akib Zaman, Anika Tahsin, Mostafizur Rahman, Rabeya Akhter, Hinoy Rahman, Shobnom Mustary, Dewan Md. Farid

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Meta-Learning in Supervised Machine Learning.

Abdullah Al Masud, Sabbir Hossain, Muhsina Rifa, Farhana Akter, Akib Zaman, Dewan Md. Farid

Proceedings of the 14th International Conference on Software, 2022

Agriculture 4.0 in Bangladesh: Issues and Challenges.

Saleh Akram Joy, Arefin Ittesafun Abian, Shifa Chowdhury Iwase, Syed Ishtiak Rahman, Juairia, Tapotosh Ghosh, Dewan Md. Farid

Proceedings of the 14th International Conference on Software, 2022

Attention-Based Scene Graph Generation: A Review.

Afsana Airin, Rezab Ud Dawla, Ahmed Shabab Noor, Muhib Al Hasan, Ahmed Rafi Hasan, Akib Zaman, Dewan Md. Farid

Proceedings of the 14th International Conference on Software, 2022

The Impact of Data Locality on the Performance of Cluster-Based Under-Sampling.

Ahmed Shabab Noor, Muhib Al Hasan, Ahmed Rafi Hasan, Rezab Ud Dawla, Afsana Airin, Akib Zaman, Dewan Md. Farid

Proceedings of the Machine Intelligence and Emerging Technologies, 2022

2020

PRESa2i: incremental decision trees for prediction of Adenosine to Inosine RNA editing sites.

Alif Choyon, Ashiqur Rahman, Md. Hasanuzzaman, Dewan Md. Farid, Swakkhar Shatabda

F1000Research, 2020

2019

PyFeat: a Python-based effective feature generation tool for DNA, RNA and protein sequences.

Rafsanjani Muhammod, Sajid Ahmed, Dewan Md. Farid, Swakkhar Shatabda, Alok Sharma, Abdollah Dehzangi

Bioinform., 2019

Big Data with Decision Tree Induction.

Shabnam Sabah, Sara Zumerrah Binte Anwar, Sadia Afroze, Md. Abulkalam Azad, Swakkhar Shatabda, Dewan Md. Farid

Proceedings of the 13th International Conference on Software, 2019

An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification.

Md. Yasir Arafat, Sabera Hoque, Shuxiang Xu, Dewan Md. Farid

Proceedings of the 13th International Conference on Software, 2019

2018

A quantitative image analysis for the cellular cytoskeleton during in vitro tumor growth.

M. Abdulla Al Mamun, Worawut Srisukkham, Dewan Md. Farid, Lorna Ravenhill, Li Zhang, M. Alamgir Hossain, Rosemary Bass

Expert Syst. Appl., 2018

FRnet-DTI: Convolutional Neural Networks for Drug-Target Interaction.

Farshid Rayhan, Sajid Ahmed, Zaynab Mousavian, Dewan Md. Farid, Swakkhar Shatabda

CoRR, 2018

iRecSpot-EF: Effective sequence based features for recombination hotspot prediction.

Md. Rafsan Jani, Md Toha Khan Mozlish, Sajid Ahmed, Niger Sultana Tahniat, Dewan Md. Farid, Swakkhar Shatabda

Comput. Biol. Medicine, 2018

Brain-Machine Interface for Developing Virtual-Ball Movement Controlling Game.

Md. Ochiuddin Miah, Al Maruf Hassan, Khondaker Abdullah Al Mamun, Dewan Md. Farid

Proceedings of International Joint Conference on Computational Intelligence, 2018

Classification by Clustering (CbC): An Approach of Classifying Big Data Based on Similarities.

Sakib Shahriar Khan, Shakim Ahamed, Miftahul Jannat, Swakkhar Shatabda, Dewan Md. Farid

Proceedings of International Joint Conference on Computational Intelligence, 2018

2017

CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification.

Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid

CoRR, 2017

LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification.

Sajid Ahmed, Farshid Rayhan, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman

CoRR, 2017

iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting.

Farshid Rayhan, Sajid Ahmed, Swakkhar Shatabda, Dewan Md. Farid, Zaynab Mousavian, Abdollah Dehzangi, M. Sohel Rahman

CoRR, 2017

MEBoost: Mixing estimators with boosting for imbalanced data classification.

Farshid Rayhan, Sajid Ahmed, Asif Mahbub, Md. Rafsan Jani, Swakkhar Shatabda, Dewan Md. Farid, Chowdhury Mofizur Rahman

Proceedings of the 11th International Conference on Software, 2017

Cluster-based under-sampling with random forest for multi-class imbalanced classification.

Md. Yasir Arafat, Sabera Hoque, Dewan Md. Farid

Proceedings of the 11th International Conference on Software, 2017

2016

An adaptive rule-based classifier for mining big biological data.

Dewan Md. Farid, M. Abdulla Al Mamun, Bernard Manderick, Ann Nowé

Expert Syst. Appl., 2016

Genomic Variant Classifier Tool.

Isel Grau, Dipankar Sengupta, Dewan Md. Farid, Bernard Manderick, Ann Nowé, María Matilde García Lorenzo, Dorien Daneels, Maryse Bonduelle, Didier Croes, Sonia Van Dooren

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

Ensemble of Trees for Classifying High-Dimensional Imbalanced Genomic Data.

Dewan Md. Farid, Ann Nowé, Bernard Manderick

Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016

2014

Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks.

Dewan Md. Farid, Li Zhang, Chowdhury Mofizur Rahman, M. Alamgir Hossain, Rebecca Strachan

Expert Syst. Appl., 2014

Stochastic Local Search for Pattern Set Mining.

Muktadir Hossain, Tajkia Tasnim, Swakkhar Shatabda, Dewan Md. Farid

CoRR, 2014

Fractal and image analysis of cytoskeletal changes in tumour cells due to the effects of maspin.

M. Abdulla Al Mamun, Lorna Ravenhill, M. Alamgir Hossain, Dewan Md. Farid, Rosemary Bass

Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013

Intelligent facial emotion recognition and semantic-based topic detection for a humanoid robot.

Li Zhang, Ming Jiang, Dewan Md. Farid, M. Alamgir Hossain

Expert Syst. Appl., 2013

An adaptive ensemble classifier for mining concept drifting data streams.

Dewan Md. Farid, Li Zhang, M. Alamgir Hossain, Chowdhury Mofizur Rahman, Rebecca Strachan, Graham Sexton, Keshav P. Dahal

Expert Syst. Appl., 2013

2010

Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm.

Dewan Md. Farid, Mohammad Zahidur Rahman

J. Comput., 2010

Combining Naive Bayes and Decision Tree for Adaptive Intrusion Detection

Dewan Md. Farid, Nouria Harbi, Mohammad Zahidur Rahman

CoRR, 2010

Attribute Weighting with Adaptive NBTree for Reducing False Positives in Intrusion Detection

Dewan Md. Farid, Mohammad Zahidur Rahman

CoRR, 2010