NYAWA Serge

DE WAAL, H., S. NYAWA, S. FOSSO WAMBA, "Consumers’ Financial Distress: Prediction and Prescription Using Interpretable Machine Learning", Information Systems Frontiers, 2024 [fnege: 3, abs: 3]

GNEKPE, C., D. TCHUENTE, S. NYAWA, P. K. DEY, "Energy Performance of Building Refurbishments: Predictive and Prescriptive AI-based Machine Learning Approaches", Journal of Business Research, 2024, vol. 183, pp. 114821 [fnege: 2, abs: 3]

NYAWA, S., C. GNEKPE, D. TCHUENTE, "Transparent machine learning models for predicting decisions to undertake energy retrofits in residential buildings", Annals of Operations Research, 2023 [fnege: 2, abs: 3]

TCHUENTE, D., S. NYAWA, "Real estate price estimation in French cities using geocoding and machine learning", Annals of Operations Research, 2022, vol. 308, pp. 571–608 [cnrs: 2, fnege: 2, abs: 3]

NYAWA, S., D. TCHUENTE, S. FOSSO WAMBA, "COVID-19 vaccine hesitancy: a social media analysis using deep learning", Annals of Operations Research, 2022 [cnrs: 2, fnege: 2, abs: 3]

TCHUENTE, D., S. NYAWA, S. FOSSO WAMBA, "COVID-19 Vaccine Global Information Management Through Bibliometrics", Journal of Global Information Management, 2021, vol. 29, no. 6, pp. 1-22 [cnrs: 3, fnege: 3, abs: 2]

BOLLERSLEV, T., N. MEDDAHI, S. NYAWA, "High-dimensional multivariate realizedvolatility estimation", Journal of Econometrics, 2019, vol. 212, no. 1, pp. 116-136 [cnrs: 1, abs: 4]

NYAWA, S., "On the Connection Between Threshold Models and Trees’ Regressions: Application to Volatility’s Forecasting" in Conférence Econométrie financière, 14/06/2024,, 2024

NYAWA, S., "Consumers' Financial Wellbeing: Prediction of Financial Rehabilitation Using Machine Learning" in Conférence Data and AI in Social Sciences, 17/06/2024, Yaoundé, 2024

NYAWA, S., "Machine Learning for Digital Mobile Banking Adoption" in Conférence ICT4, novembre, 2024, Yaoundé

SULLIVAN, Y., S. NYAWA, S. FOSSO WAMBA, "Combating Loneliness with Artificial Intelligence: An AI-Based Emotional Support Model" in Proceedings of the 56th Hawaii International Conference on System Sciences, pp. 4443-4453, 2023, Maui, Hawaii, United States of America

NYAWA, S., "Consumers financial distress: Prediction and prescription using machine learning", 2023, Prague, Ceszk Republic

NYAWA, S., "A Factor Model for systemic risk using Mutually Exciting Jump Processes" in Econometric Society European Winter Meeting 2017, Barcelona, Spain, 12-13 December, 2017

NYAWA, S., "A Factor Model for systemic risk using Mutually Exciting Jump Processes" in French Econometric Conference, Paris, France, 30 Novembre - 1er Décembre 2017, 2017

NYAWA, S., T. BOLLERSLEV, N. MEDDAHI, "High-Dimensional Multivariate Realized Volatility Estimation" in Society of Financial Econometrics Conference, New York, USA, June 2017, 2017

NYAWA, S., T. BOLLERSLEV, N. MEDDAHI, "High-Dimensional Multivariate Realized Volatility Estimation" in Big Data in Dynamic Predictive Econometric Modeling, Pennsylvania, 18-19 Mai, 2017

NYAWA, S., N. MEDDAHI, T. BOLLERSLEY, "High-Dimensional Multivariate Realized Volatility Estimation" in 10th Financial Risks International Forum 2017, Paris, France, 27-28 mars, 2017

NYAWA, S., T. BOLLERSLEV, N. MEDDAHI, "High Dimensional Multivariate Realized Volatility Measures" in Vienna Financial Econometrics Conference, Vienna, 9-11 mars, 2017 Coauthorspresented

NYAWA, S., T. BOLLERSLEV, N. MEDDAHI, "High Dimensional Multivariate Realized Volatility Measures" in 27th (EC)2 Conference on Big Data Toulouse, 16-17 Décembre, 2016

NYAWA, S., T. BOLLERSLEV, N. MEDDAHI, "High Dimensional Multivariate Realized Volatility Measures" in Recent Advances in Econometrics, Toulouse, France, 28-29 Juin, 2016

NYAWA, S., T. BOLLERSLEV, N. MEDDAHI, "High Dimensional Multivariate Realized Volatility Measures" in EEA-ESEM 2016 Conference, Geneve, switzerland , 22-26 août, 2016

CARILLO, K., S. AKTER, K. ALNOFELI, T. BEGUM, D. TCHUENTE, N. CHAUDHURI, S. FOSSO WAMBA, S. NYAWA, "Handbook of Big Data Research Methods" in Research Handbooks in Information Systems., Ed., Edward Elgar Publishing, vol. 3, 2023

DE WALL, H., S. NYAWA, S. FOSSO WAMBA, "Consumers Financial Distress: Prediction and Prescription Using Machine Learning" in Dynamics of Information Systems., Hossein Moosaei, Milan Hladík, Panos M. Pardalos Eds, Springer Nature Switzerland, pp. 218-231, 2023