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Disambiguation of "Nicolae, Maria-Irina"

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Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning.

, , , , and . ICONIP (1), volume 9489 of Lecture Notes in Computer Science, page 253-263. Springer, (2015)

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Irina-Maria Hucklenbroich

Irina Maria Kreusch

Irina Maria Größ

Maria-Irina Reichel

Nicolae Radoi

 

Other publications of authors with the same name

Extending Knowledge Bases Using Images., , and . AKBC@NIPS, OpenReview.net, (2017)Joint Semi-supervised Similarity Learning for Linear Classification., , , and . ECML/PKDD (1), volume 9284 of Lecture Notes in Computer Science, page 594-609. Springer, (2015)Algorithmic Robustness for Semi-Supervised (ε, γ, τ) -Good Metric Learning., , , , and . ICONIP (1), volume 9489 of Lecture Notes in Computer Science, page 253-263. Springer, (2015)Algorithmic Robustness for Semi-Supervised (e,g,t)-Good Metric Learning, , , , and . chapter Algorithmic Robustness for Semi-Supervised (e,g,t)-Good Metric Learning, page 253--263. Springer International Publishing, Cham, (2015)Joint Semi-Supervised Similarity Learning for Linear Classification, , , and . Joint European Conference on Machine Learning and Knowledge Discovery in Databases, page 594--609. Springer, (2015)Open-World Visual Recognition Using Knowledge Graphs., , and . CoRR, (2017)Similarity Learning for Time Series Classification., , , and . CoRR, (2016)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)Efficient Defenses Against Adversarial Attacks., , and . AISec@CCS, page 39-49. ACM, (2017)Revisiting Neural Program Smoothing for Fuzzing., , and . ESEC/SIGSOFT FSE, page 133-145. ACM, (2023)