activity
20172021
most citedBehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model

127 citations · 151 across the 13 of their papers we have counts for

collaborators

24 papers

cs.IR20211 cited

A Dynamic Topic Identification and Labeling Approach of COVID-19 Tweets

Khandaker Tayef Shahriar, Iqbal H. Sarker, Muhammad Nazrul Islam +1

This paper formulates the problem of dynamically identifying key topics with proper labels from COVID-19 Tweets to provide an overview of wider public opinion. Nowadays, social med…

cs.CL20211 cited

Emotion Classification in a Resource Constrained Language Using Transformer-based Approach

Avishek Das, Omar Sharif, Mohammed Moshiul Hoque +1

Although research on emotion classification has significantly progressed in high-resource languages, it is still infancy for resource-constrained languages like Bengali. However, u…

cs.CR2021

CyberLearning: Effectiveness Analysis of Machine Learning Security Modeling to Detect Cyber-Anomalies and Multi-Attacks

Iqbal H. Sarker

Detecting cyber-anomalies and attacks are becoming a rising concern these days in the domain of cybersecurity. The knowledge of artificial intelligence, particularly, the machine l…

cs.LG20201 cited

An Efficient K-means Clustering Algorithm for Analysing COVID-19

Md. Zubair, MD. Asif Iqbal, Avijeet Shil +3

COVID-19 hits the world like a storm by arising pandemic situations for most of the countries around the world. The whole world is trying to overcome this pandemic situation. A bet…

cs.LG2020

Predicting Individual Substance Abuse Vulnerability using Machine Learning Techniques

Uwaise Ibna Islam, Iqbal H. Sarker, Enamul Haque +1

Substance abuse is the unrestrained and detrimental use of psychoactive chemical substances, unauthorized drugs, and alcohol. Continuous use of these substances can ultimately lead…

cs.LG2020

An Isolation Forest Learning Based Outlier Detection Approach for Effectively Classifying Cyber Anomalies

Rony Chowdhury Ripan, Iqbal H. Sarker, Md Musfique Anwar +4

Cybersecurity has recently gained considerable interest in today's security issues because of the popularity of the Internet-of-Things (IoT), the considerable growth of mobile netw…