8 citations · 17 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks
Hoang-Thang Ta
In this paper, we introduce BSRBF-KAN, a Kolmogorov Arnold Network (KAN) that combines B-splines and radial basis functions (RBFs) to fit input vectors during data training. We per…
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…
Self-training from Self-memory in Data-to-text Generation
Hoang-Thang Ta
This paper introduces a novel training model, self-training from self-memory (STSM) in data-to-text generation (DTG), allowing the model to self-train on subsets, including self-me…
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…