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Davide Bacciu

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Francesco Crecchi

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Publications

2022
[j39]
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  - journals/ijon/CrecchiMSBB22
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  - https://dblp.org/rec/journals/ijon/CrecchiMSBB22
Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio:
FADER: Fast adversarial example rejection. Neurocomputing 470: 257-268 (2022)
2020
[j22]
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  - journals/tnn/BacciuC20
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Davide Bacciu, Francesco Crecchi:
Augmenting Recurrent Neural Networks Resilience by Dropout. IEEE Trans. Neural Networks Learn. Syst. 31(1): 345-351 (2020)
[c58]
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  - conf/esann/CrecchiBVLB20
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Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu:
Perplexity-free Parametric t-SNE. ESANN 2020: 387-392
[i23]
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  - journals/corr/abs-2010-01359
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Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu:
Perplexity-free Parametric t-SNE. CoRR abs/2010.01359 (2020)
[i22]
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  - journals/corr/abs-2010-09119
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Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio:
FADER: Fast Adversarial Example Rejection. CoRR abs/2010.09119 (2020)
2019
[c46]
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  - conf/esann/CrecchiBB19
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Francesco Crecchi, Davide Bacciu, Battista Biggio:
Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction. ESANN 2019
[i15]
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  - journals/corr/abs-1904-13094
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Francesco Crecchi, Davide Bacciu, Battista Biggio:
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction. CoRR abs/1904.13094 (2019)
2017
[c34]
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  - conf/ijcnn/BacciuCM17
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Davide Bacciu, Francesco Crecchi, Davide Morelli:
DropIn: Making reservoir computing neural networks robust to missing inputs by dropout. IJCNN 2017: 2080-2087
[i3]
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Davide Bacciu, Francesco Crecchi, Davide Morelli:
DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout. CoRR abs/1705.02643 (2017)

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