Mohamed Laib

According to our database, Mohamed Laib authored at least 7 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Exploratory Analysis of Building Stock: A Case Study for the City of Esch-sur-Alzette (Luxembourg).

Antonino Marvuglia, Mohamed Laib

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022

Steel Quality Monitoring Using Data-Driven Approaches: ArcelorMittal Case Study.

Mohamed Laib, Riad Aggoune, Rafael Crespo, Pierre Hubsch

Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

2020

Unsupervised Learning of High Dimensional Environmental Data Using Local Fractality Concept.

Mikhail F. Kanevski, Mohamed Laib

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Model Variance for Extreme Learning Machine.

Fabian Guignard, Mohamed Laib, Mikhail F. Kanevski

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

A new algorithm for redundancy minimisation in geo-environmental data.

Mohamed Laib, Mikhail F. Kanevski

Comput. Geosci., 2019

2018

A novel filter algorithm for unsupervised feature selection based on a space filling measure.

Mohamed Laib, Mikhail F. Kanevski

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Unsupervised Feature Selection Based on Space Filling Concept.

Mohamed Laib, Mikhail F. Kanevski

CoRR, 2017