| 2023 | SDM | TEM: High Utility Metric Differential Privacy on Text. | Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang |
| 2022 | AAAI | Incorporating Item Frequency for Differentially Private Set Union. | Ricardo Silva Carvalho, Ke Wang, Lovedeep Singh Gondara |
| 2022 | WSDM | Differentially Private Ensemble Classifiers for Data Streams. | Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho |
| 2021 | ESORICS | Training Differentially Private Neural Networks with Lottery Tickets. | Lovedeep Gondara, Ricardo Silva Carvalho, Ke Wang |
| 2020 | UAI | Differentially Private Top-k Selection via Stability on Unknown Domain. | Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao |
| 2017 | ICMLA | Predicting Waiting Time Overflow on Bank Teller Queues. | Ricardo Silva Carvalho, Rommel Novaes Carvalho, Guilherme Novaes Ramos, Roberto Nunes Mouro |
| 2017 | ICMLA | Identifying Anomalies in Parliamentary Expenditures of Brazilian Chamber of Deputies with Deep Autoencoders. | Thiago Alencar Gomes, Rommel Novaes Carvalho, Ricardo Silva Carvalho |
| 2017 | ICMLA | Evaluating the Use of Brazilian Companies' Financial Footnotes Texts for Debt Variation Prediction. | Augusto Cesar Araujo Maeda, Ricardo Silva Carvalho, Rommel Novaes Carvalho |
| 2016 | ICMLA | Identifying IT Purchases Anomalies in the Brazilian Government Procurement System Using Deep Learning. | Silvio L. Domingos, Rommel N. Carvalho, Ricardo Silva Carvalho, Guilherme Novaes Ramos |
| 2016 | ICMLA | Predicting Recovery of Credit Operations on a Brazilian Bank. | Rogrio Gomes Lopes, Rommel N. Carvalho, Marcelo Ladeira, Ricardo Silva Carvalho |
| 2016 | UAI | Bayesian Models to Assess Risk of Corruption of Federal Management Units. | Ricardo Silva Carvalho, Rommel Novaes Carvalho |