3 citations · 6 across the 8 of their papers we have counts for
8 papers
BanglaSocialBench: A Benchmark for Evaluating Sociopragmatic and Cultural Alignment of LLMs in Bangladeshi Social Interaction
Tanvir Ahmed Sijan, S. M Golam Rifat, Pankaj Chowdhury Partha +2
Large Language Models have demonstrated strong multilingual fluency, yet fluency alone does not guarantee socially appropriate language use. In high-context languages, communicativ…
SEAGET: Seasonal and Active hours guided Graph Enhanced Transformer for the next POI recommendation
Alif Al Hasan, Md. Musfique Anwar
One of the most important challenges for improving personalized services in industries like tourism is predicting users' near-future movements based on prior behavior and current c…
A Regularized LSTM Method for Detecting Fake News Articles
Tanjina Sultana Camelia, Faizur Rahman Fahim, Md. Musfique Anwar
Nowadays, the rapid diffusion of fake news poses a significant problem, as it can spread misinformation and confusion. This paper aims to develop an advanced machine learning solut…
Modeling The Sharing and Diffusion Of Fake News in Social Media
Umme Faria Moon, MD Ahsan Habib Rasel, Md. Musfique Anwar
The use of social media platforms has been gradually increasing and fake news spreading is becoming an alarming issue nowadays. The spreading of fake news means disseminating false…
Lemon and Orange Disease Classification using CNN-Extracted Features and Machine Learning Classifier
Khandoker Nosiba Arifin, Sayma Akter Rupa, Md Musfique Anwar +1
Lemons and oranges, both are the most economically significant citrus fruits globally. The production of lemons and oranges is severely affected due to diseases in its growth stage…
Redefining POI Popularity: Integrating User Preferences and Recency for Enhanced Recommendations
Alif Al Hasan, Md. Musfique Anwar, M. Arifur Rahman
The task of point-of-interest (POI) recommendation is to predict users' immediate future movements based on their previous records and present circumstances. Popularity is consider…
Predicting Participants' Performance in Programming Contests using Deep Learning Techniques
Md Mahbubur Rahman, Badhan Chandra Das, Al Amin Biswas +1
In recent days, the number of technology enthusiasts is increasing day by day with the prevalence of technological products and easy access to the internet. Similarly, the amount o…
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…