Ricardo Silva Carvalho

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 15

Top Topics

Differentially Private

Bayesian Models

Top Venues

Publications

Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang
TEM: High Utility Metric Differential Privacy on Text. SDM (2023)
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
Differentially Private Ensemble Classifiers for Data Streams. WSDM (2022)
Ricardo Silva Carvalho, Ke Wang, Lovedeep Singh Gondara
Incorporating Item Frequency for Differentially Private Set Union. AAAI (2022)
Lovedeep Gondara, Ricardo Silva Carvalho, Ke Wang
Training Differentially Private Neural Networks with Lottery Tickets. ESORICS (2) (2021)
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
BRR: Preserving Privacy of Text Data Efficiently on Device. CoRR (2021)
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
TEM: High Utility Metric Differential Privacy on Text. CoRR (2021)
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
Differentially Private Ensemble Classifiers for Data Streams. CoRR (2021)
Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao
Differentially Private Top-k Selection via Stability on Unknown Domain. UAI (2020)
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
The Differentially Private Lottery Ticket Mechanism. CoRR (2020)
Thiago Alencar Gomes, Rommel Novaes Carvalho, Ricardo Silva Carvalho
Identifying Anomalies in Parliamentary Expenditures of Brazilian Chamber of Deputies with Deep Autoencoders. ICMLA (2017)
Augusto Cesar Araujo Maeda, Ricardo Silva Carvalho, Rommel Novaes Carvalho
Evaluating the Use of Brazilian Companies' Financial Footnotes Texts for Debt Variation Prediction. ICMLA (2017)
Ricardo Silva Carvalho, Rommel Novaes Carvalho, Guilherme Novaes Ramos, Roberto Nunes Mourão
Predicting Waiting Time Overflow on Bank Teller Queues. ICMLA (2017)
Rogerio G. Lopes, Rommel N. Carvalho, Marcelo Ladeira, Ricardo Silva Carvalho
Predicting Recovery of Credit Operations on a Brazilian Bank. ICMLA (2016)
Ricardo Silva Carvalho, Rommel Novaes Carvalho
Bayesian Models to Assess Risk of Corruption of Federal Management Units. BMA@UAI (2016)
Silvio L. Domingos, Rommel N. Carvalho, Ricardo Silva Carvalho, Guilherme Novaes Ramos
Identifying IT Purchases Anomalies in the Brazilian Government Procurement System Using Deep Learning. ICMLA (2016)
Ricardo Silva Carvalho, Rommel Novaes Carvalho, Marcelo Ladeira, Fernando Mendes Monteiro, Gilson Libório de Oliveira Mendes
Using Political Party Affiliation Data to Measure Civil Servants' Risk of Corruption. BRACIS (2014)