32 citations · 41 across the 7 of their papers we have counts for
3 papers · 1 filter
One Step Closer to Ground Truth: A Multi-Scale Residual-Aware Representation Learning Pipeline for Predicting Time Series Data
Amrijit Biswas, Mustafa Kamal, Robin Krambroeckers +4
Transformer-based models have emerged as leading paradigms in time-series forecasting in recent years, employing self-attention mechanisms to capture long-range dependencies. Despi…
Predicting life satisfaction using machine learning and explainable AI
Alif Elham Khan, Mohammad Junayed Hasan, Humayra Anjum +2
Life satisfaction is a crucial facet of human well-being. Hence, research on life satisfaction is incumbent for understanding how individuals experience their lives and influencing…
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI
Saikat Barua, Sifat Momen
In order to fully harness the potential of machine learning, it is crucial to establish a system that renders the field more accessible and less daunting for individuals who may no…