Tai Le Quy

Good news! My article "A survey on datasets for fairness-aware machine learning" received enough citations to be a #TopCitedArticle in the WIREs DMKD journal. #LernMINT #Fairness #MachineLearning

Good news! My article received enough downloads to be a #TopDownloadedArticle in its journal. doi.org/10.1002/widm.1… #fairness #machinelearning #LernMINT

I successfully defended my PhD thesis, entitled "Fairness-aware Machine Learning in Educational Data Mining", supervised by Prof. @entoutsi and Prof. Gunnar Friege, in the LernMINT PhD program, at LUH #LernMINT

Our paper got its 100th citation! Thanks to all co-authors and readers #fairness #MachineLearning #dataset

@jjvie Thank you very much!

@tailequy Let's meet there!

I'm attending the #PAKDD2023 in Osaka to present the paper "Multi-fair Capacitated Students-Topics Grouping Problem" (section 3B) on 27.5 thanks to the student #registration #award #fairness #education

The @ECMLPKDD 2023 will host the 3rd Workshop on Bias and Fairness AI on 22 September 2023, in Torino, Italy. Contributions related to AI fairness and AI bias are welcome. 📅Submission Deadline June 12, 2023 🔗sites.google.com/view/bias2023/… #AIBias #MachineLearning #Workshop #AIFairness

Our chapter "A Review of Clustering Models in Educational Data Science Toward Fairness-Aware Learning" (a part of the book "Educational Data Science: Essentials, Approaches, and Tendencies") with @entoutsi and Gunnar Friege, is now available online. DOI: doi.org/10.1007/978-98…

The first #100citation on my #GoogleScholar

A shareable link: rdcu.be/c78vV

Our paper "Evaluation of Group Fairness Measures in Student Performance Prediction Problems" is now available in the proceeding of the ECML PKDD 2022, published by Springer. doi.org/10.1007/978-3-… #fairness #MachineLearning #LernMINT

@entoutsi @LernMint Thank you very much!

Congratulations Tai for the continued successes, amazing. @LernMint

I'm pleased to share that our paper 'Multi-fair Capacitated Students-Topics Grouping Problem' has been accepted to the PAKDD 2023 conference. The arxiv version is available at arxiv.org/abs/2206.09895 #LernMINT #PAKDD #fairness #machinelearning

A great certificate from the Wires DMKD #TopCitedArticle #WiresDMKD #fairness #MachineLearning #LernMINT

Good news! My article "A survey on datasets for fairness-aware machine learning" received enough citations to be a #topcitedarticle in WIREs Data Mining and Knowledge Discovery journal. doi.org/10.1002/widm.1…

Our article "A survey on datasets for fairness-aware machine learning" with @entoutsi @Arjun7389 @iosifidis_bill and Wenbin Zhang in the WIREs Data Mining and Knowledge Discovery was one of the top 10 downloaded in 2022. wires.onlinelibrary.wiley.com/doi/toc/10.100…

@entoutsi @Arjun7389 @iosifidis_bill Thank you very much!

Another of our recent articles on datasets for fairness-aware learning made it to the top 10 downloaded of WIREs Data Mining and Knowledge Discovery journal for 2022. Congrats @tailequy @Arjun7389 @ Wenbin Zhang @iosifidis_bill #fairAI #bias #data wires.onlinelibrary.wiley.com/doi/toc/10.100….

A preprint of the chapter "A review of clustering models in educational data science towards fairness-aware learning", published in the book "Educational Data Science: Essentials, Approaches, and Tendencies", is online at: arxiv.org/abs/2301.03421

Our work “A review of clustering models in educational data science towards fairness-aware learning” has been accepted for publication in the Springer book “Educational Data Science-Essentials, Approaches, and Tendencies – Proactive Education based on Empirical Big Data Evidence”

#CallForPapers! We are accepting abstracts for "Many Worlds of AI: Intercultural Approaches to the Ethics of Artificial Intelligence" that will take place @Cambridge_Uni in April 2023. You can learn more here: desirableai.com/news/call-for-…