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João Bravo
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2020 – today
- 2024
- [c2]Lucas Martins, João Bravo, Ana Sofia Gomes, Carlos Soares, Pedro Bizarro:
RIFF: Inducing Rules for Fraud Detection from Decision Trees. RuleML+RR 2024: 50-58 - [i6]João Lucas Martins, João Bravo, Ana Sofia Gomes, Carlos Soares, Pedro Bizarro:
RIFF: Inducing Rules for Fraud Detection from Decision Trees. CoRR abs/2408.12989 (2024) - [i5]João Bravo:
NRGBoost: Energy-Based Generative Boosted Trees. CoRR abs/2410.03535 (2024) - 2023
- [c1]André Ferreira Cruz, Catarina G. Belém, João Bravo, Pedro Saleiro, Pedro Bizarro:
FairGBM: Gradient Boosting with Fairness Constraints. ICLR 2023 - [i4]Tiago Leon Melo, João Bravo, Marco O. P. Sampaio, Paolo Romano, Hugo Ferreira, João Tiago Ascensão, Pedro Bizarro:
Adversarial training for tabular data with attack propagation. CoRR abs/2307.15677 (2023) - 2022
- [i3]José Pombal, André Ferreira Cruz, João Bravo, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions. CoRR abs/2207.06273 (2022) - [i2]André Ferreira Cruz, Catarina G. Belém, João Bravo, Pedro Saleiro, Pedro Bizarro:
FairGBM: Gradient Boosting with Fairness Constraints. CoRR abs/2209.07850 (2022) - 2020
- [i1]David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro:
ARMS: Automated rules management system for fraud detection. CoRR abs/2002.06075 (2020)
2010 – 2019
- 2018
- [j1]Gabriel de A. Pereira, João Bravo, Jorge Centeno:
A User Study of a Prototype of a Spatial Augmented Reality System for Education and Interaction with Geographic Data. Big Data Cogn. Comput. 2(3): 20 (2018)
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last updated on 2024-11-13 23:52 CET by the dblp team
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