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Javier Maroto
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2020 – today
- 2024
- [i7]Javier Maroto, Pascal Frossard:
PUMA: margin-based data pruning. CoRR abs/2405.06298 (2024) - 2023
- [c5]Javier Maroto, Gérôme Bovet, Pascal Frossard:
Maximum Likelihood Distillation for Robust Modulation Classification. ICASSP 2023: 1-5 - [i6]Marcele O. K. Mendonça, Javier Maroto, Pascal Frossard, Paulo S. R. Diniz:
Adversarial training with informed data selection. CoRR abs/2301.04472 (2023) - 2022
- [c4]Marcele O. K. Mendonça, Javier Maroto, Pascal Frossard, Paulo S. R. Diniz:
Adversarial training with informed data selection. EUSIPCO 2022: 608-612 - [c3]Javier Maroto, Gérôme Bovet, Pascal Frossard:
SafeAMC: Adversarial training for robust modulation classification models. EUSIPCO 2022: 1636-1640 - [i5]Javier Maroto, Guillermo Ortiz-Jiménez, Pascal Frossard:
On the benefits of knowledge distillation for adversarial robustness. CoRR abs/2203.07159 (2022) - [i4]Javier Maroto, Gérôme Bovet, Pascal Frossard:
Maximum Likelihood Distillation for Robust Modulation Classification. CoRR abs/2211.00748 (2022) - 2021
- [c2]Javier Maroto, Clément Vignac, Pascal Frossard:
Modurec: Recommender Systems with Feature and Time Modulation. ICASSP 2021: 3615-3619 - [i3]Javier Maroto, Gérôme Bovet, Pascal Frossard:
On the benefits of robust models in modulation recognition. CoRR abs/2103.14977 (2021) - [i2]Javier Maroto, Gérôme Bovet, Pascal Frossard:
SafeAMC: Adversarial training for robust modulation recognition models. CoRR abs/2105.13746 (2021) - 2020
- [i1]Javier Maroto, Clément Vignac, Pascal Frossard:
Modurec: Recommender Systems with Feature and Time Modulation. CoRR abs/2010.07050 (2020)
2010 – 2019
- 2018
- [c1]Javier Maroto, Antonio Ortega:
Efficient Worker Assignment in Crowdsourced Data Labeling Using Graph Signal Processing. ICASSP 2018: 2271-2275
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