Rashidul Islam

Orcid: 0000-0001-5276-5708

According to our database1, Rashidul Islam authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness.
CoRR, 2024

Fairness without Demographics through Shared Latent Space-Based Debiasing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
When Biased Humans Meet Debiased AI: A Case Study in College Major Recommendation.
ACM Trans. Interact. Intell. Syst., September, 2023

Differential Fairness: An Intersectional Framework for Fair AI.
Entropy, April, 2023

2022
Fair Inference for Discrete Latent Variable Models.
CoRR, 2022

Framework for Behavioral Disorder Detection Using Machine Learning and Application of Virtual Cognitive Behavioral Therapy in COVID-19 Pandemic.
CoRR, 2022

Do Humans Prefer Debiased AI Algorithms? A Case Study in Career Recommendation.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

2021
Bias: Friend or Foe? User Acceptance of Gender Stereotypes in Automated Career Recommendations.
CoRR, 2021

Debiasing Career Recommendations with Neural Fair Collaborative Filtering.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Equitable Allocation of Healthcare Resources with Fair Survival Models.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Fair Representation Learning for Heterogeneous Information Networks.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Can We Obtain Fairness For Free?
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Equitable Allocation of Healthcare Resources with Fair Cox Models.
CoRR, 2020

Neural Fair Collaborative Filtering.
CoRR, 2020

Bayesian Modeling of Intersectional Fairness: The Variance of Bias.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

An Intersectional Definition of Fairness.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Scalable Collapsed Inference for High-Dimensional Topic Models.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
MPT: Multiple Parallel Tempering for High-Throughput MCMC Samplers.
Proceedings of the 31st IEEE International System-on-Chip Conference, 2018

2017
A Scalable FPGA-Based Accelerator for High-Throughput MCMC Algorithms.
Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017


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