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Maria-Irina Nicolae
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2020 – today
- 2024
- [c7]Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz:
Stealthy Imitation: Reward-guided Environment-free Policy Stealing. ICML 2024 - [i7]Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz:
Stealthy Imitation: Reward-guided Environment-free Policy Stealing. CoRR abs/2405.07004 (2024) - 2023
- [c6]Maria-Irina Nicolae, Max Eisele, Andreas Zeller:
Revisiting Neural Program Smoothing for Fuzzing. ESEC/SIGSOFT FSE 2023: 133-145 - [i6]Maria-Irina Nicolae, Max Eisele, Andreas Zeller:
Revisiting Neural Program Smoothing for Fuzzing. CoRR abs/2309.16618 (2023)
2010 – 2019
- 2019
- [e2]Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents] - 2018
- [i5]Maria-Irina Nicolae, Mathieu Sinn, Tran Ngoc Minh, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Ian M. Molloy, Benjamin Edwards:
Adversarial Robustness Toolbox v0.2.2. CoRR abs/1807.01069 (2018) - 2017
- [c5]Vincent P. A. Lonij, Ambrish Rawat, Maria-Irina Nicolae:
Extending Knowledge Bases Using Images. AKBC@NIPS 2017 - [c4]Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat:
Efficient Defenses Against Adversarial Attacks. AISec@CCS 2017: 39-49 - [i4]Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat:
Efficient Defenses Against Adversarial Attacks. CoRR abs/1707.06728 (2017) - [i3]Vincent P. A. Lonij, Ambrish Rawat, Maria-Irina Nicolae:
Open-World Visual Recognition Using Knowledge Graphs. CoRR abs/1708.08310 (2017) - [i2]Ambrish Rawat, Martin Wistuba, Maria-Irina Nicolae:
Adversarial Phenomenon in the Eyes of Bayesian Deep Learning. CoRR abs/1711.08244 (2017) - 2016
- [b1]Maria-Irina Nicolae:
Learning similarities for linear classification: theoretical foundations and algorithms. (Apprentissage de similarités pour la classification linéaire: fondements théoriques et algorithmes). University of Lyon, France, 2016 - [i1]Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban:
Similarity Learning for Time Series Classification. CoRR abs/1610.04783 (2016) - 2015
- [c3]Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini:
Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning. ICONIP (1) 2015: 253-263 - [c2]Maria-Irina Nicolae, Éric Gaussier, Amaury Habrard, Marc Sebban:
Joint Semi-supervised Similarity Learning for Linear Classification. ECML/PKDD (1) 2015: 594-609 - [c1]Maria-Irina Nicolae, Marc Sebban, Amaury Habrard, Éric Gaussier, Massih-Reza Amini:
Algorithmic Robustness for Semi-Supervised (ε, γ, τ)-Good Metric Learning. ICLR (Workshop) 2015 - [e1]Ahlame Douzal Chouakria, José A. Vilar Fernández, Pierre-François Marteau, Elizabeth Ann Maharaj, Andrés M. Alonso Fernández, Edoardo Otranto, Maria-Irina Nicolae:
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2015, co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, September 11, 2015. CEUR Workshop Proceedings 1425, CEUR-WS.org 2015 [contents]
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last updated on 2024-09-04 00:22 CEST by the dblp team
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