166 citations · 334 across the 10 of their papers we have counts for
11 papers
Attention Based Feature Fusion Network for Monkeypox Skin Lesion Detection
Niloy Kumar Kundu, Mainul Karim, Sarah Kobir +1
The recent monkeypox outbreak has raised significant public health concerns due to its rapid spread across multiple countries. Monkeypox can be difficult to distinguish from chicke…
Deep Fusion Model for Brain Tumor Classification Using Fine-Grained Gradient Preservation
Niful Islam, Mohaiminul Islam Bhuiyan, Jarin Tasnim Raya +4
Brain tumors are one of the most common diseases that lead to early death if not diagnosed at an early stage. Traditional diagnostic approaches are extremely time-consuming and pro…
Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning
Niful Islam, Debopom Sutradhar, Humaira Noor +3
ChatGPT is a conversational artificial intelligence that is a member of the generative pre-trained transformer of the large language model family. This text generative model was fi…
FRnet-DTI: Deep Convolutional Neural Networks with Evolutionary and Structural Features for Drug-Target Interaction
Farshid Rayhan, Sajid Ahmed, Zaynab Mousavian +2
The task of drug-target interaction prediction holds significant importance in pharmacology and therapeutic drug design. In this paper, we present FRnet-DTI, an auto encoder and a…
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification
Farshid Rayhan, Sajid Ahmed, Asif Mahbub +4
Class imbalance problem has been a challenging research problem in the fields of machine learning and data mining as most real life datasets are imbalanced. Several existing machin…
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification
Farshid Rayhan, Sajid Ahmed, Asif Mahbub +3
Class imbalance classification is a challenging research problem in data mining and machine learning, as most of the real-life datasets are often imbalanced in nature. Existing lea…