Ricardo Silva Carvalho

16 papers A* 1A 3C 5Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2023 A conf
TEM: High Utility Metric Differential Privacy on Text.
SDM
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang
2022 A conf
Differentially Private Ensemble Classifiers for Data Streams.
WSDM
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
2022 A* conf
Incorporating Item Frequency for Differentially Private Set Union.
AAAI
Ricardo Silva Carvalho, Ke Wang, Lovedeep Singh Gondara
2021 J jnl
BRR: Preserving Privacy of Text Data Efficiently on Device.
CoRR
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
2021 J jnl
Differentially Private Ensemble Classifiers for Data Streams.
CoRR
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
2021 J jnl
TEM: High Utility Metric Differential Privacy on Text.
CoRR
Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan
2021 — conf
Training Differentially Private Neural Networks with Lottery Tickets.
ESORICS (2)
Lovedeep Gondara, Ricardo Silva Carvalho, Ke Wang
2020 A conf
Differentially Private Top-k Selection via Stability on Unknown Domain.
UAI
Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao
2020 J jnl
The Differentially Private Lottery Ticket Mechanism.
CoRR
Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho
2017 C conf
Evaluating the Use of Brazilian Companies' Financial Footnotes Texts for Debt Variation Prediction.
ICMLA
Augusto Cesar Araujo Maeda, Ricardo Silva Carvalho, Rommel Novaes Carvalho
2017 C conf
Identifying Anomalies in Parliamentary Expenditures of Brazilian Chamber of Deputies with Deep Autoencoders.
ICMLA
Thiago Alencar Gomes, Rommel Novaes Carvalho, Ricardo Silva Carvalho
2017 C conf
Predicting Waiting Time Overflow on Bank Teller Queues.
ICMLA
Ricardo Silva Carvalho, Rommel Novaes Carvalho, Guilherme Novaes Ramos, Roberto Nunes Mourão
2016 — conf
Bayesian Models to Assess Risk of Corruption of Federal Management Units.
BMA@UAI
Ricardo Silva Carvalho, Rommel Novaes Carvalho
2016 C conf
Identifying IT Purchases Anomalies in the Brazilian Government Procurement System Using Deep Learning.
ICMLA
Silvio L. Domingos, Rommel N. Carvalho, Ricardo Silva Carvalho, Guilherme Novaes Ramos
2016 C conf
Predicting Recovery of Credit Operations on a Brazilian Bank.
ICMLA
Rogério Gomes Lopes, Rommel N. Carvalho, Marcelo Ladeira, Ricardo Silva Carvalho
2014 — conf
Using Political Party Affiliation Data to Measure Civil Servants' Risk of Corruption.
BRACIS
Ricardo Silva Carvalho, Rommel Novaes Carvalho, Marcelo Ladeira, Fernando Mendes Monteiro, Gilson Libório de Oliveira Mendes