1 citations · 1 across the 3 of their papers we have counts for
3 papers
Protein Representation Learning with Secondary-Structure and Energy-Filtered Hydrogen-Bond Graphs
Mohamed Mouhajir, Limei Wang, El Houcine Bergou +3
Graph-based representations are widely used in protein modeling, yet many existing approaches rely primarily on sequence adjacency or geometric proximity, which only partially refl…
Computing the Vapnik Chervonenkis Dimension for Non-Discrete Settings
Mohammed Nechba, Mouhajir Mohamed, Sedjari Yassine
In 1984, Valiant [ 7 ] introduced the Probably Approximately Correct (PAC) learning framework for boolean function classes. Blumer et al. [ 2] extended this model in 1989 by introd…
High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation Comparison
Nechba Mohammed, Mouhajir Mohamed, Sedjari Yassine
We present a versatile GPU-based parallel version of Logistic Regression (LR), aiming to address the increasing demand for faster algorithms in binary classification due to large d…