Ramin Nikzad-Langerodi

According to our database, Ramin Nikzad-Langerodi authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

P3LS: Partial Least Squares under Privacy Preservation.

Du Nguyen Duy, Ramin Nikzad-Langerodi

CoRR, 2024

2023

Supervised and Penalized Baseline Correction.

Erik Andries, Ramin Nikzad-Langerodi

CoRR, 2023

Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation.

Du Nguyen Duy, Michael Affenzeller, Ramin Nikzad-Langerodi

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Towards federated multivariate statistical process control (FedMSPC).

Du Nguyen Duy, David Gabauer, Ramin Nikzad-Langerodi

CoRR, 2022

Opening the black-box of Neighbor Embedding with Hotelling's T2 statistic and Q-residuals.

Roman Josef Rainer, Michael Mayr, Johannes Himmelbauer, Ramin Nikzad-Langerodi

CoRR, 2022

Using Property Graphs to Segment Time-Series Data.

Aleksei Karetnikov, Tobias Rehberger, Christian Lettner, Johannes Himmelbauer, Ramin Nikzad-Langerodi, Günter Gsellmann, Susanne Nestelberger, Stefan Schützeneder

Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

2020

Robust Generalized Fuzzy Systems Training From High-Dimensional Time-Series Data Using Local Structure Preserving PLS.

Edwin Lughofer, Ramin Nikzad-Langerodi

IEEE Trans. Fuzzy Syst., 2020

Domain adaptation for regression under Beer-Lambert's law.

Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Alois Moser

Knowl. Based Syst., 2020

Graph-based calibration transfer.

Ramin Nikzad-Langerodi, Florian Sobieczky

CoRR, 2020

2019

Domain-Invariant Regression Under Beer-Lambert's Law.

Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Moser

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019