20 citations · 59 across the 22 of their papers we have counts for
3 papers · 1 filter
Neural Feature Governance: Extending Atom Prevalence
Idris Karel Seunda Ekwe, Patrick Tenga Shako, Ernest Parfait Fokoué
Neural network compression and interpretability remain open challenges in modern deep learn- ing, where billion-parameter architectures deliver impressive accuracy at the cost of t…
Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning
Sanjeev Raja, Ernest Fokoué
In the monitoring of a complex electric grid, it is of paramount importance to provide operators with early warnings of anomalies detected on the network, along with a precise clas…
Adaptive Random SubSpace Learning (RSSL) Algorithm for Prediction
Mohamed Elshrif, Ernest Fokoue
We present a novel adaptive random subspace learning algorithm (RSSL) for prediction purpose. This new framework is flexible where it can be adapted with any learning technique. In…