Ernest Fokoué

According to our database, Ernest Fokoué authored at least 40 papers between 1999 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Causality as the Statistical Conscience of Artificial Intelligence: From Pearl's Ladder to Trustworthy Machines.

Ernest Fokoué

CoRR, May, 2026

Multi-Head Attention as Ensemble Nadaraya-Watson Estimation: Variance Reduction, Decorrelation, and Optimal Head Diversity.

Ernest Fokoué

CoRR, May, 2026

Visual Timelines of Police Encounters in Body-Worn Camera Footage: Operational Context and Activity Cataloging for Training and Analysis in OpenBWC.

Angela Srbinovska, Christopher Homan, Adrian Martin, Ernest Fokoué

CoRR, May, 2026

Ontology for Policing: Conceptual Knowledge Learning for Semantic Understanding and Reasoning in Law Enforcement Reports.

Anita Srbinovska, Jansen Orfan, Adrian Martin, Ernest Fokoué

CoRR, May, 2026

On Kernel Eigen-alignments of KRR: Reconstruction and Generalization.

Yang Liu, Ernest Fokoué, Richard Lange, Daniel E. Krutz

CoRR, May, 2026

Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part III - Gradient Descent, Neural Plasticity, and the Emergence of Deep Intelligence.

Ernest Fokoué, Gregory Babbitt, Yuval Levental

CoRR, April, 2026

Isomorphic Functionalities between Ant Colony and Ensemble Learning: Part II-On the Strength of Weak Learnability and the Boosting Paradigm.

Ernest Fokoué, Gregory Babbitt, Yuval Levental

CoRR, April, 2026

Decorrelation, Diversity, and Emergent Intelligence: The Isomorphism Between Social Insect Colonies and Ensemble Machine Learning.

Ernest Fokoué, Gregory Babbitt, Yuval Levental

CoRR, March, 2026

Transcendental Regularization of Finite Mixtures:Theoretical Guarantees and Practical Limitations.

Ernest Fokoué

CoRR, February, 2026

A Theoretical and Empirical Taxonomy of Imbalance in Binary Classification.

Rose Yvette Bandolo Essomba, Ernest Fokoué

CoRR, January, 2026

Fibonacci-Driven Recursive Ensembles: Algorithms, Convergence, and Learning Dynamics.

Ernest Fokoué

CoRR, January, 2026

2025

A General Weighting Theory for Ensemble Learning: Beyond Variance Reduction via Spectral and Geometric Structure.

Ernest Fokoué

CoRR, December, 2025

On Fibonacci Ensembles: An Alternative Approach to Ensemble Learning Inspired by the Timeless Architecture of the Golden Ratio.

Ernest Fokoué

CoRR, December, 2025

No Intelligence Without Statistics: The Invisible Backbone of Artificial Intelligence.

Ernest Fokoué

CoRR, October, 2025

Learning using statistical invariants: when they work and when they don't.

Yang Liu, Ernest Fokoué, Daniel E. Krutz

Mach. Learn., July, 2025

Towards AI-Driven Policing: Interdisciplinary Knowledge Discovery from Police Body-Worn Camera Footage.

Anita Srbinovska, Angela Srbinovska, Vivek Senthil, Adrian Martin, John McCluskey, Ernest Fokoué

CoRR, April, 2025

2022

Improving the Predictive Performances of k Nearest Neighbors Learning by Efficient Variable Selection.

Eddie Pei, Ernest Fokoué

CoRR, 2022

Efficient Novelty Detection Methods for Early Warning of Potential Fatal Diseases.

Sèdjro Salomon Hotegni, Ernest Fokoué

CoRR, 2022

A Computational Exploration of Emerging Methods of Variable Importance Estimation.

Louis Mozart Kamdem, Ernest Fokoué

CoRR, 2022

2021

A Novel Use of Discrete Wavelet Transform Features in the Prediction of Epileptic Seizures from EEG Data.

Cyrille Feudjio, Victoire Djimna Noyum, Younous Perieukeu Mofendjou, Rockefeller, Ernest Fokoué

CoRR, 2021

Boosting the Predictive Accurary of Singer Identification Using Discrete Wavelet Transform For Feature Extraction.

Victoire Djimna Noyum, Younous Perieukeu Mofenjou, Cyrille Feudjio, Alkan Göktug, Ernest Fokoué

CoRR, 2021

2020

Nonnegative Matrix Factorization with Zellner Penalty.

Matthew Corsetti, Ernest Fokoué

CoRR, 2020

Nonnegative Matrix Factorization with Toeplitz Penalty.

Matthew Corsetti, Ernest Fokoué

CoRR, 2020

Graph Enhanced High Dimensional Kernel Regression.

Eddie Pei, Ernest Fokoué

CoRR, 2020

2019

What do Asian Religions Have in Common? An Unsupervised Text Analytics Exploration.

Preeti Sah, Ernest Fokoué

CoRR, 2019

Multi-Stage Fault Warning for Large Electric Grids Using Anomaly Detection and Machine Learning.

Sanjeev Raja, Ernest Fokoué

CoRR, 2019

2018

Naive Dictionary On Musical Corpora: From Knowledge Representation To Pattern Recognition.

Qiuyi Wu, Ernest Fokoué

CoRR, 2018

On the Statistical Challenges of Echo State Networks and Some Potential Remedies.

Qiuyi Wu, Ernest Fokoué, Dhireesha Kudithipudi

CoRR, 2018

2017

Epileptic Seizure Recognition.

Qiuyi Wu, Ernest Fokoué

Dataset, May, 2017

A penalized maximum likelihood approach to the adaptive learning of the spatial pooler permanence.

Ernest Fokoué, Lakshmi Ravi, Dhireesha Kudithipudi

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler.

James Mnatzaganian, Ernest Fokoué, Dhireesha Kudithipudi

Frontiers Robotics AI, 2016

A Mathematical Formalization of Hierarchical Temporal Memory Cortical Learning Algorithm's Spatial Pooler.

James Mnatzaganian, Ernest Fokoué, Dhireesha Kudithipudi

CoRR, 2016

Android Malware Detection Using Category-Based Machine Learning Classifiers.

Huda Ali Alatwi, Tae Hwan Oh, Ernest Fokoué, Bill Stackpole

Proceedings of the 17th Annual Conference on Information Technology Education and the 5th Annual Conference on Research in Information Technology, 2016

2015

A Comparison of Classifiers in Performing Speaker Accent Recognition Using MFCCs.

Zichen Ma, Ernest Fokoué

CoRR, 2015

Adaptive Random SubSpace Learning (RSSL) Algorithm for Prediction.

Mohamed Elshrif, Ernest Fokoué

CoRR, 2015

2014

Tennis Major Tournament Match Statistics.

Shruti Jauhari, Aniket Morankar, Ernest Fokoué

Dataset, May, 2014

Probit Normal Correlated Topic Models.

Xingchen Yu, Ernest Fokoué

CoRR, 2014

2013

Turkiye Student Evaluation.

Ernest Fokoué, Necla Gunduz

Dataset, August, 2013

2003

Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation.

Ernest Fokoué, D. M. Titterington

Mach. Learn., 2003

1999

Efficient Approaches to Gaussian Process Classification.

Lehel Csató, Ernest Fokoué, Manfred Opper, Bernhard Schottky, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999