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- 2025
-
Mark
Feature Selection for Rare Earth Element Price Forecasting - A Hybrid Econometric and Machine Learning Approach
- Master (One yr)
-
Mark
Pathway-Based Dimensionality Reduction Approaches to Improve Boosted Trees Classification of Cancer Bulk RNA-Seq Data
(2025) In Master’s Theses in Mathematical Sciences BERM04 20251
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2024
-
Mark
Nonstandard Errors in Bank Default Prediction Using Machine Learning
- Bach. Degree
- 2023
-
Mark
Robust Statistical Jump Models with Feature Selection
- Master (Two yrs)
- 2020
-
Mark
Improving High-Risk Consumer Credit Scoring with Financial Transaction Data
- Master (Two yrs)
- 2018
-
Mark
Predictive modelling using a nationally representative database to identify the determinants of prediabetes; a machine learning analytic approach on the National Health and Nutrition Examination Survey (NHANES) 2013-2014
- Master (Two yrs)
- 2017
-
Mark
Feature Selection Methods with Applications in Electrical Load Forecasting
(2017) In Master's Theses in Mathematical Sciences FMA820 20161
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2016
-
Mark
Construction of the Berkeley Innovation Index: A Higher-Order Item Response Theory Model Approach
- Master (Two yrs)
-
Mark
The use of Machine Learning Algorithms for Adaptive Question Selection in Questionnaire-based Mental Health Data Collection Apps
- Master (Two yrs)