144 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- King Abdullah University of Science and TechnologySA2 papers
- Université du Québec à MontréalCA2 papers
- Al al-Bayt UniversityJO1 paper
- Capital University of Science and TechnologyPK1 paper
- École PolytechniqueFR1 paper
- Indian Institute of Technology JodhpurIN1 paper
- Institute of Information and Computational TechnologiesKZ1 paper
- Institut national de recherche en sciences et technologies du numériqueFR1 paper
- Khalifa University of Science and TechnologyAE1 paper
- Laboratoire d’Électronique, Informatique et ImageFR1 paper
- Laboratoire de Recherche en InformatiqueFR1 paper
- Mohammed V UniversityMA1 paper
3 papers · 1 filter
How to Use K-means for Big Data Clustering?
Rustam Mussabayev, Nenad Mladenovic, Bassem Jarboui +1
K-means plays a vital role in data mining and is the simplest and most widely used algorithm under the Euclidean Minimum Sum-of-Squares Clustering (MSSC) model. However, its perfor…
Survey on Causal-based Machine Learning Fairness Notions
Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi
Addressing the problem of fairness is crucial to safely use machine learning algorithms to support decisions with a critical impact on people's lives such as job hiring, child malt…
Machine learning fairness notions: Bridging the gap with real-world applications
Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi
Fairness emerged as an important requirement to guarantee that Machine Learning (ML) predictive systems do not discriminate against specific individuals or entire sub-populations,…