activity
20222026
most citedDepressionEmo: A novel dataset for multilabel classification of depression emotions

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2026

Project Qualia: Recovering Experiential Music Structure from Session Co-occurrence Data

Nizam Mohammed, Abu B. S. Rahman, Dimuthu D. K. Arachchige

This report presents results from Project Qualia, an ongoing effort to determine whether experiential similarity between songs, a structure not captured by genre or metadata taxono…

cs.LG2024

FC-KAN: Function Combinations in Kolmogorov-Arnold Networks

Hoang-Thang Ta, Duy-Quy Thai, Abu Bakar Siddiqur Rahman +2

In this paper, we introduce FC-KAN, a Kolmogorov-Arnold Network (KAN) that leverages combinations of popular mathematical functions such as B-splines, wavelets, and radial basis fu…

cs.CL2024

ThangDLU at #SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents

Hoang-Thang Ta, Abu Bakar Siddiqur Rahman, Lotfollah Najjar +1

This paper describes our participation in Task 3 and Task 5 of the #SMM4H (Social Media Mining for Health) 2024 Workshop, explicitly targeting the classification challenges within…

cs.CL20241 cited

DepressionEmo: A novel dataset for multilabel classification of depression emotions

Abu Bakar Siddiqur Rahman, Hoang-Thang Ta, Lotfollah Najjar +2

Emotions are integral to human social interactions, with diverse responses elicited by various situational contexts. Particularly, the prevalence of negative emotional states has b…

cs.CL2022

WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs

Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Navonil Majumder +5

As free online encyclopedias with massive volumes of content, Wikipedia and Wikidata are key to many Natural Language Processing (NLP) tasks, such as information retrieval, knowled…