20 citations · 28 across the 9 of their papers we have counts for
9 papers
Emerging Statistical Machine Learning Techniques for Extreme Temperature Forecasting in U.S. Cities
Kameron B. Kinast, Ernest Fokoué
In this paper, we present a comprehensive analysis of extreme temperature patterns using emerging statistical machine learning techniques. Our research focuses on exploring and com…
Efficient Novelty Detection Methods for Early Warning of Potential Fatal Diseases
Sèdjro Salomon Hotegni, Ernest Fokoué
Fatal diseases, as Critical Health Episodes (CHEs), represent real dangers for patients hospitalized in Intensive Care Units. These episodes can lead to irreversible organ damage a…
A Computational Exploration of Emerging Methods of Variable Importance Estimation
Louis Mozart Kamdem, Ernest Fokoue
Estimating the importance of variables is an essential task in modern machine learning. This help to evaluate the goodness of a feature in a given model. Several techniques for est…
A Comparison of Classifiers in Performing Speaker Accent Recognition Using MFCCs
Zichen Ma, Ernest Fokoue
An algorithm involving Mel-Frequency Cepstral Coefficients (MFCCs) is provided to perform signal feature extraction for the task of speaker accent recognition. Then different class…
An Information-Theoretic Alternative to the Cronbach's Alpha Coefficient of Item Reliability
Ernest Fokoue, Necla Gunduz
We propose an information-theoretic alternative to the popular Cronbach alpha coefficient of reliability. Particularly suitable for contexts in which instruments are scored on a st…
Pattern Discovery in Students' Evaluations of Professors: A Statistical Data Mining Approach
Necla Gunduz, Ernest Fokoue
The evaluation of instructors by their students has been practiced at most universities for many decades, and there has always been a great interest in a variety of aspects of the…