3 citations · 5 across the 4 of their papers we have counts for
11 papers
Fair Inference for Discrete Latent Variable Models
Rashidul Islam, Shimei Pan, James R. Foulds
It is now well understood that machine learning models, trained on data without due care, often exhibit unfair and discriminatory behavior against certain populations. Traditional…
Framework for Behavioral Disorder Detection Using Machine Learning and Application of Virtual Cognitive Behavioral Therapy in COVID-19 Pandemic
Tasnim Niger, Hasanur Rayhan, Rashidul Islam +2
In this modern world, people are becoming more self-centered and unsocial. On the other hand, people are stressed, becoming more anxious during COVID-19 pandemic situation and exhi…
User Acceptance of Gender Stereotypes in Automated Career Recommendations
Clarice Wang, Kathryn Wang, Andrew Bian +4
Currently, there is a surge of interest in fair Artificial Intelligence (AI) and Machine Learning (ML) research which aims to mitigate discriminatory bias in AI algorithms, e.g. al…
Neural Fair Collaborative Filtering
Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng +2
A growing proportion of human interactions are digitized on social media platforms and subjected to algorithmic decision-making, and it has become increasingly important to ensure…
Implications of dark sector mixing on leptophilic scalar dark matter
Sreemanti Chakraborti, Rashidul Islam
We propose a new viable outlook to the mixing between a singlet and a doublet leptonic dark sector fields. This choice relaxes the dark matter (DM) search constraints on the quinte…
Multilepton signatures for scalar dark matter searches in coannihilation scenario
Sreemanti Chakraborti, Rashidul Islam
We revisit the scalar singlet dark matter (DM) scenario with a pair of dark lepton partners which form a vectorlike Dirac fermionic doublet. The extra doublet couples with the Stan…