My papers

  1. M.C. Mariani, J. Quezada, and O.K. Tweneboah, Enhancing Medical Diagnosis with Machine Learning. Springer Lectures Series of Networks and Systems - Data Managment, Analitycs and Innovations, 2025.
  2. J. Quezada and M.C. Mariani, Harnessing Machine Learning and Meta-Learning for Enhanced Medical Diagnosis, Abstracts of the 31th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 6, 2024.
  3. J. Quezada, Integrating Machine Learning and Optimization Methods for Medical Diagnosis, PhD degree in Data Science, University of Texas at El Paso, El Paso, Texas, Supervisor: Dr. Maria Mariani, 2023.
  4. M.C. Mariani, J. Quezada, O.K. Tweneboah, Integrating Machine Learning and Optimization Methods for Medical Diagnosis, Abstracts of the 30th Joint UTEP/NMSU Workshop on Mathematics, Computer Science, and Computational Sciences, El Paso, Texas, October 28, 2023.
  5. J. Quezada, M.C. Mariani, and O.K. Tweneboah, Machine Learning Methodologies with Applications to Medical Diagnosis, Hawaii University International Conferences Science, Technology & Engineering, Arts, Mathematics & Education June 7 - 9, 2023, Prince Waikiki Resort, Honolulu, Hawaii.
  6. Jazmin Quezada (University of Texas at El Paso),
    Maria Mariani (Chair of the Department of Mathematical Sciences, University of Texas at El Paso),
    Claire McKay Bowen (Statistical Science Group at Los Alamos National Lab),
    Joanne Wendelberger (Statistical Science Group at Los Alamos National Lab),
    Analyzing the Effects of Missing Data in Time Series with Machine Learning Algorithms,
    First Annual Minority Science and Engineering
    Improvement Program Capacity Competitiveness Enhancement Model (CCEM) Conference,
    U.S. Department of Education, 400 Maryland Avenue, SW, Washington, DC 20202; Monday, October 28, 2019 [download].
  7. J. Quezada, Forecasting Crashes, Credit Card Default, and Imputation Analysis on Missing Values, Master's degree in Mathematics, University of Texas at El Paso, El Paso, Texas, Supervisor: Dr. Maria Mariani, 17 July, 2019 [download].
  8. J. Quezada, Analyzing the Effects of Missing Data in Time Series with Machine Learning Algorithms, Scientific Report, The Computer, Computational, and Statistical Sciences (CCS) Division, Los Alamos National Lab, 2019.
  9. J. Quezada, M. Mariani, O.K. Tweneboah, Predicting Crash in Stock Market and Computing Credit Card Default by Using Neural Networks, Abstracts of the 24st Joint NMSU/UTEP workshop Mathematical Sciences, Computer Science, and Computational Science, Las Cruces, NM, April 24,2019.
  10. J. Quezada, Financial Time Series Forecasting Using Deep Learning and Wavelets, 22th Joint UTEP/NMSU Workshop on Mathematics,Computer Science, and Computational Science, Las Cruces, April 7, 2018
  11. A. Pownuk, I. Skalna, and J. Quezada, Guaranteed Bounds for Solution of Parameter Dependent System of Equations, Abstracts of the 22th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 7, 2018.
  12. A. Pownuk and J. Quezada, A Posteriori Error Bounds for Two Point Boundary Value Problem with Uncertain Parameters, Abstracts of the Sixteenth New Mexico Analysis Seminar, Department of Mathematical Sciences, New Mexico State University, Las Cruces, May 21, 2017.
  13. A. Pownuk, I. Skalna, and J. Quezada, Solution of the Wave Equation with Interval and Random Parameters, Abstracts of the 20th Joint NMSU/UTEP Workshop on Mathematics, Computer Science, and Computational Sciences, Las Cruces, New Mexico, April 8, 2017.