Kaike Alves is a second-year Ph.D. student conducting part of his Ph.D. in computer science at the University of Nottingham, Nottingham, UK.
CONTACTS AND LINKS: Github Google Scholar |
Kaike Sa Teles Rocha AlvesSUMMARY:
I am a Machine Learning researcher that received my M.Sc. degree in Computational Modelling in 2021. My B.Sc. in Industrial Engineering allows me to integrate the company's assets, proposing efficient processes and eliminating wastefulness. As a logistics intern at a food company, I introduced performance indicators and route optimization concepts. I am conducting part of my Ph.D. in Computer Science at the University of Nottingham. As a member of the LUCID - Lab for Uncertainty in Data and Decision Making, I am focusing my research on proposing new forecasting models with mechanisms to deal with data uncertainty. RESEARCH INTERESTS:
My current research interests include the applications of Machine Learning to interval-valued data in areas such as financial series and energy. PUBLICATIONS:
A novel rule-based evolving Fuzzy System applied to the thermal modeling of power transformers | Applied Soft Computing. An enhanced set-membership evolving participatory learning with kernel recursive least squares applied to thermal modeling of power transformers | Electric Power Systems Research. A New evolving Fuzzy System with Mechanisms to Deal With Uncertainties in Times Series Forecasting | IEEE The complete list of publications can be seen on the Google Scholar webpage. |
