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2020 – today
- 2024
[i6]Du Nguyen Duy, Ramin Nikzad-Langerodi:
P3LS: Partial Least Squares under Privacy Preservation. CoRR abs/2401.14884 (2024)- 2023
- [c3]Du Nguyen Duy
, Michael Affenzeller, Ramin Nikzad-Langerodi:
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. GECCO Companion 2023: 2420-2428 - [i5]Du Nguyen Duy, Michael Affenzeller, Ramin Nikzad-Langerodi:
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. CoRR abs/2307.11756 (2023) - [i4]Erik Andries, Ramin Nikzad-Langerodi:
Supervised and Penalized Baseline Correction. CoRR abs/2310.18306 (2023) - 2022
- [c2]Aleksei Karetnikov, Tobias Rehberger, Christian Lettner, Johannes Himmelbauer, Ramin Nikzad-Langerodi, Günter Gsellmann, Susanne Nestelberger, Stefan Schützeneder:
Using Property Graphs to Segment Time-Series Data. DEXA Workshops 2022: 416-423 - [i3]Roman Josef Rainer, Michael Mayr, Johannes Himmelbauer, Ramin Nikzad-Langerodi:
Opening the black-box of Neighbor Embedding with Hotelling's T2 statistic and Q-residuals. CoRR abs/2209.01984 (2022) - [i2]Du Nguyen Duy, David Gabauer, Ramin Nikzad-Langerodi:
Towards federated multivariate statistical process control (FedMSPC). CoRR abs/2211.01645 (2022) - 2020
- [j2]Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Alois Moser:
Domain adaptation for regression under Beer-Lambert's law. Knowl. Based Syst. 210: 106447 (2020) - [j1]Edwin Lughofer, Ramin Nikzad-Langerodi:
Robust Generalized Fuzzy Systems Training From High-Dimensional Time-Series Data Using Local Structure Preserving PLS. IEEE Trans. Fuzzy Syst. 28(11): 2930-2943 (2020) - [i1]Ramin Nikzad-Langerodi, Florian Sobieczky:
Graph-based calibration transfer. CoRR abs/2006.00089 (2020)
2010 – 2019
- 2019
- [c1]Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Moser:
Domain-Invariant Regression Under Beer-Lambert's Law. ICMLA 2019: 581-586
Coauthor Index
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