Ricardo Silva Carvalho

According to our database, Ricardo Silva Carvalho authored at least 15 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

TEM: High Utility Metric Differential Privacy on Text.

Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022

Differentially Private Ensemble Classifiers for Data Streams.

Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Incorporating Item Frequency for Differentially Private Set Union.

Ricardo Silva Carvalho, Ke Wang, Lovedeep Singh Gondara

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

TEM: High Utility Metric Differential Privacy on Text.

Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan

CoRR, 2021

BRR: Preserving Privacy of Text Data Efficiently on Device.

Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan

CoRR, 2021

Training Differentially Private Neural Networks with Lottery Tickets.

Lovedeep Gondara, Ricardo Silva Carvalho, Ke Wang

Proceedings of the Computer Security - ESORICS 2021, 2021

2020

The Differentially Private Lottery Ticket Mechanism.

Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho

CoRR, 2020

Differentially Private Top-k Selection via Stability on Unknown Domain.

Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2017

Evaluating the Use of Brazilian Companies' Financial Footnotes Texts for Debt Variation Prediction.

Augusto Cesar Araujo Maeda, Ricardo Silva Carvalho, Rommel Novaes Carvalho

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Identifying Anomalies in Parliamentary Expenditures of Brazilian Chamber of Deputies with Deep Autoencoders.

Thiago Alencar Gomes, Rommel Novaes Carvalho, Ricardo Silva Carvalho

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Predicting Waiting Time Overflow on Bank Teller Queues.

Ricardo Silva Carvalho, Rommel Novaes Carvalho, Guilherme Novaes Ramos, Roberto Nunes Mourão

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

Bayesian Models to Assess Risk of Corruption of Federal Management Units.

Ricardo Silva Carvalho, Rommel Novaes Carvalho

Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016) co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016

Predicting Recovery of Credit Operations on a Brazilian Bank.

Rogerio G. Lopes, Rommel N. Carvalho, Marcelo Ladeira, Ricardo Silva Carvalho

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

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

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2014

Using Political Party Affiliation Data to Measure Civil Servants' Risk of Corruption.

Ricardo Silva Carvalho, Rommel Novaes Carvalho, Marcelo Ladeira, Fernando Mendes Monteiro, Gilson Libório de Oliveira Mendes

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014