Profiling Television Watching Behavior Using Bayesian Hierarchical Joint Models for Time-to-Event and Count Data. - Rafael de Andrade Moral; Zhi Chen 018; Shuai Zhang 001; Sally I. McClean; Gabriel R. Palma; Brahim Allan; Ian Kegel (IEEE Access, 2022)

Brazilian Forest Dataset: A new dataset to model local biodiversity. - Ricardo Araújo Rios; Tatiane Nogueira Rios; Gabriel R. Palma; Rodrigo Fernandes de Mello (J. Exp. Theor. Artif. Intell., 2022)

Pattern-based prediction of population outbreaks. - Gabriel R. Palma; Wesley Augusto Conde Godoy; Eduardo Engel; Douglas Lau; Edgar Galván; Oliver Mason; Charles Markham; Rafael de Andrade Moral (Ecol. Informatics, 2023)

Combining supervised and unsupervised learning methods to predict financial market movements. - Gabriel Rodrigues Palma; Mariusz Skoczen; Phil Maguire (CoRR, 2024)

Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models. - Gabriel R. Palma; Conor Thornberry; Sean Commins; Rafael A. Moral (Neuroinformatics, 2024)

Forecasting insect abundance using time series embedding and machine learning. - Gabriel R. Palma; Rodrigo Fernandes de Mello; Wesley Augusto Conde Godoy; Eduardo Engel; Douglas Lau; Charles Markham; Rafael A. Moral (Ecol. Informatics, 2025)

Asset price movement prediction using empirical mode decomposition and Gaussian mixture models. - Gabriel R. Palma; Mariusz Skoczen; Phil Maguire (CoRR, 2025)

Estimating the number of household TV profiles based in customer behaviour using Gaussian mixture model averaging. - Gabriel R. Palma; Sally I. McClean; Brahim Allan; Zeeshan Tariq; Rafael A. Moral (CoRR, 2025)