Linara Adilova
Linara Adilova
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Cited by
Efficient decentralized deep learning by dynamic model averaging
M Kamp, L Adilova, J Sicking, F Hüger, P Schlicht, T Wirtz, S Wrobel
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
Relative Flatness and Generalization
H Petzka, M Kamp, L Adilova, C Sminchisescu, M Boley
Advances in Neural Information Processing Systems 34, 2021
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
Visual Analytics for Human-Centered Machine Learning
N Andrienko, G Andrienko, L Adilova, S Wrobel
IEEE Computer Graphics and Applications 42 (1), 123-133, 2022
Leitfaden zur Gestaltung vertrauenswürdiger Künstlicher Intelligenz
M Poretschkin, A Schmitz, M Akila, L Adilova, D Becker, AB Cremers, ...
KI-Prüfkatalog. Sankt Augustin: Fraunhofer-Institut für Intelligente Analyse …, 2021
On face recognition
LR Adilova
Intellectual systems 14, 73-84, 2010
Introducing noise in decentralized training of neural networks
L Adilova, N Paul, P Schlicht
ECML PKDD 2018 Workshops: DMLE 2018 and IoTStream 2018, Dublin, Ireland …, 2019
Approaches to Uncertainty Quantification in Federated Deep Learning
F Linsner, L Adilova, S Däubener, M Kamp, A Fischer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
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
Making Efficient Use of a Domain Expert's Time in Relation Extraction
L Adilova, S Giesselbach, S Rüping
arXiv preprint arXiv:1807.04687, 2018
Layerwise Linear Mode Connectivity
L Adilova, A Fischer, M Jaggi
arXiv preprint arXiv:2307.06966, 2023
Guideline for Trustworthy Artificial Intelligence--AI Assessment Catalog
M Poretschkin, A Schmitz, M Akila, L Adilova, D Becker, AB Cremers, ...
arXiv preprint arXiv:2307.03681, 2023
ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020 …
I Koprinska, M Kamp, A Appice, C Loglisci, L Antonie, A Zimmermann, ...
Springer Nature, 2021
Management System Support for Trustworthy Artificial Intelligence
M Mock, A Schmitz, L Adilova, D Becker, AB Cremers, M Poretschkin
Fraunhofer IAIS, 2021
Information-Theoretic Perspective of Federated Learning
L Adilova, J Rosenzweig, M Kamp
arXiv preprint arXiv:1911.07652, 2019
Re-interpreting rules interpretability
L Adilova, M Kamp, G Andrienko, N Andrienko
International Journal of Data Science and Analytics, 1-21, 2023
Information Plane Analysis for Dropout Neural Networks
L Adilova, BC Geiger, A Fischer
ICLR2023, 2023
Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings …
M Kamp, I Koprinska, A Bibal, T Bouadi, B Frénay, L Galárraga, J Oramas, ...
Springer Nature, 2022
Novelty Detection in Sequential Data by Informed Clustering and Modeling
L Adilova, S Chen, M Kamp
arXiv preprint arXiv:2103.03943, 2021
Resource-constrained on-device learning by dynamic averaging
L Heppe, M Kamp, L Adilova, D Heinrich, N Piatkowski, K Morik
ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2020
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