Linara Adilova
Linara Adilova
Data Scientist, Fraunhofer IAIS; Fraunhofer Center for ML
Bestätigte E-Mail-Adresse bei iais.fraunhofer.de
Titel
Zitiert von
Zitiert von
Jahr
Efficient decentralized deep learning by dynamic model averaging
M Kamp, L Adilova, J Sicking, F Hüger, P Schlicht, T Wirtz, S Wrobel
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
752018
LDA ensembles for interactive exploration and categorization of behaviors
S Chen, N Andrienko, G Andrienko, L Adilova, J Barlet, J Kindermann, ...
IEEE transactions on visualization and computer graphics 26 (9), 2775-2792, 2019
152019
On face recognition
LR Adilova
Intellectual systems 14, 73-84, 2010
102010
System Misuse Detection via Informed Behavior Clustering and Modeling
L Adilova, L Natious, S Chen, O Thonnard, M Kamp
2019 49th Annual IEEE/IFIP International Conference on Dependable Systems …, 2019
32019
Introducing Noise in Decentralized Training of Neural Networks
L Adilova, N Paul, P Schlicht
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
32018
Resource-constrained on-device learning by dynamic averaging
L Heppe, M Kamp, L Adilova, D Heinrich, N Piatkowski, K Morik
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020
22020
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks
H Petzka, L Adilova, M Kamp, C Sminchisescu
arXiv preprint arXiv:1912.00058, 2019
22019
Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks
H Petzka, L Adilova, M Kamp, C Sminchisescu
22019
Information-Theoretic Perspective of Federated Learning
L Adilova, J Rosenzweig, M Kamp
arXiv preprint arXiv:1911.07652, 2019
12019
Making Efficient Use of a Domain Expert's Time in Relation Extraction
L Adilova, S Giesselbach, S Rüping
arXiv preprint arXiv:1807.04687, 2018
12018
Designing Visualisation Enhancements for SIEM Systems
PH Nguyen, S Chen, N Andrienko, M Kamp, L Adilova, G Andrienko, ...
International Workshop on Visualization for Cyber Security 2018, 2018
12018
Novelty Detection in Sequential Data by Informed Clustering and Modeling
L Adilova, S Chen, M Kamp
arXiv preprint arXiv:2103.03943, 2021
2021
Plants Don't Walk on the Street: Common-Sense Reasoning for Reliable Semantic Segmentation
L Adilova, E Schulz, M Akila, S Houben, JD Schneider, F Huger, T Wirtz
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
Relative Flatness and Generalization in the Interpolation Regime
H Petzka, M Kamp, L Adilova, M Boley, C Sminchisescu
arXiv preprint arXiv:2001.00939, 2020
2020
Approaches to Uncertainty Quantification in Federated Deep Learning
F Linsner, L Adilova, S Däubener, M Kamp, A Fischer
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)| 978-1-6654-4899-4/21/$31.00© 2021 IEEE| DOI: 10.1109/CVPRW53098. 2021.00525
AA Abello, A Abuolaim, S Addepalli, L Adilova, S Agarwal, S Ahn, M Akila, ...
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