| 2025 | CBMS | Investigating Transformer-Based GANs for Realistic ECG Time-Series Data Generation. | Gabriel B. Moro, Joaquim V. C. Assuno, Isabel C. Reinheimer, Carlos E. Poli-de-Figueiredo, Lus A. Lima Silva |
| 2025 | CBMS | GANs and Fine-Tuning Through Transfer Learning for the Generation of Electronic Health Records on Chronic Kidney Diseases. | Lucas Schurer, Joaquim V. C. Assuno, Isabel C. Reinheimer, Carlos E. Poli-de-Figueiredo, Lus A. Lima Silva |
| 2019 | SEKE | Language Independent POS-tagging Using Automatically Generated Markov Chains (S). | Joaquim V. C. Assuno, Paulo Fernandes, Lucelene Lopes |
| 2019 | SEKE | Piecewise Aggregation for HMM fitting. A pre-fitting model for seamless integration with time series data. | Joaquim V. C. Assuno, Jean-Marc Vincent, Paulo Fernandes |
| 2018 | SEKE | A structured stochastic model for software project estimation in Waterfall models (S). | Ildo Massitela, Joaquim V. C. Assuno, Alan R. Santos, Paulo Fernandes |
| 2017 | FlAIRS | Classifying With AdaBoost.M1: The Training Error Threshold Myth. | Antnio Lees, Paulo Fernandes, Lucelene Lopes, Joaquim V. C. Assuno |
| 2015 | SEKE | SANGE - Stochastic Automata Networks Generator. A tool to efficiently predict events through structured Markovian models. | Joaquim V. C. Assuno, Paulo Fernandes, Lucelene Lopes, Angelika Studeny, Jean-Marc Vincent |
| 2014 | SEKE | A Dimensionality Reduction Process to Forecast Events through Stochastic Models. | Paulo Fernandes, Joaquim V. C. Assuno, Lucelene Lopes, Silvio Gomez |
| 2013 | BigData | Distributed Stochastic Aware Random Forests - Efficient Data Mining for Big Data. | Joaquim V. C. Assuno, Paulo Fernandes, Lucelene Lopes, Silvio Normey |