Unsupervised Feature Selection Based on Space Filling Concept. - Mohamed Laib; Mikhail F. Kanevski (CoRR, 2017)

A novel filter algorithm for unsupervised feature selection based on a space filling measure. - Mohamed Laib; Mikhail F. Kanevski (ESANN, 2018)

A new algorithm for redundancy minimisation in geo-environmental data. - Mohamed Laib; Mikhail F. Kanevski (Comput. Geosci., 2019)

Model Variance for Extreme Learning Machine. - Fabian Guignard; Mohamed Laib; Mikhail F. Kanevski (ESANN, 2020)

Unsupervised Learning of High Dimensional Environmental Data Using Local Fractality Concept. - Mikhail F. Kanevski; Mohamed Laib (ICPR Workshops (6), 2020)

Steel Quality Monitoring Using Data-Driven Approaches: ArcelorMittal Case Study. - Mohamed Laib; Riad Aggoune; Rafael Crespo; Pierre Hubsch (ICCSA (Workshops 1), 2022)

Exploratory Analysis of Building Stock: A Case Study for the City of Esch-sur-Alzette (Luxembourg). - Antonino Marvuglia; Mohamed Laib (ICCSA (Workshops 1), 2023)