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ORCIDRicardo Silva Carvalho
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2020 – today
- 2023
[c12]Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan, Ke Wang:
TEM: High Utility Metric Differential Privacy on Text. SDM 2023: 883-890- 2022
- [c11]Ricardo Silva Carvalho, Ke Wang, Lovedeep Singh Gondara:
Incorporating Item Frequency for Differentially Private Set Union. AAAI 2022: 9504-9511 - [c10]Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho:
Differentially Private Ensemble Classifiers for Data Streams. WSDM 2022: 325-333 - 2021
- [c9]Lovedeep Gondara, Ricardo Silva Carvalho, Ke Wang:
Training Differentially Private Neural Networks with Lottery Tickets. ESORICS (2) 2021: 543-562 - [i4]Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan:
BRR: Preserving Privacy of Text Data Efficiently on Device. CoRR abs/2107.07923 (2021) - [i3]Ricardo Silva Carvalho, Theodore Vasiloudis, Oluwaseyi Feyisetan:
TEM: High Utility Metric Differential Privacy on Text. CoRR abs/2107.07928 (2021) - [i2]Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho:
Differentially Private Ensemble Classifiers for Data Streams. CoRR abs/2112.04640 (2021) - 2020
- [c8]Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao:
Differentially Private Top-k Selection via Stability on Unknown Domain. UAI 2020: 1109-1118 - [i1]Lovedeep Gondara, Ke Wang, Ricardo Silva Carvalho:
The Differentially Private Lottery Ticket Mechanism. CoRR abs/2002.11613 (2020)
2010 – 2019
- 2017
- [c7]Ricardo Silva Carvalho, Rommel Novaes Carvalho, Guilherme Novaes Ramos, Roberto Nunes Mourão
:
Predicting Waiting Time Overflow on Bank Teller Queues. ICMLA 2017: 842-847 - [c6]Thiago Alencar Gomes, Rommel Novaes Carvalho, Ricardo Silva Carvalho:
Identifying Anomalies in Parliamentary Expenditures of Brazilian Chamber of Deputies with Deep Autoencoders. ICMLA 2017: 940-943 - [c5]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: 1030-1034 - 2016
- [c4]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: 722-727 - [c3]Rogerio G. Lopes, Rommel N. Carvalho, Marcelo Ladeira, Ricardo Silva Carvalho:
Predicting Recovery of Credit Operations on a Brazilian Bank. ICMLA 2016: 780-784 - [c2]Ricardo Silva Carvalho, Rommel Novaes Carvalho:
Bayesian Models to Assess Risk of Corruption of Federal Management Units. BMA@UAI 2016: 28-35 - 2014
- [c1]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: 166-171
Coauthor Index
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