Nico Migenda

According to our database, Nico Migenda authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Adaptive local Principal Component Analysis improves the clustering of high-dimensional data.

Nico Migenda, Ralf Möller, Wolfram Schenck

Pattern Recognit., February, 2024

NGPCA: Clustering of high-dimensional and non-stationary data streams.

Nico Migenda, Ralf Möller, Wolfram Schenck

Softw. Impacts, 2024

Technical Readiness of Prescriptive Analytics Platforms: A Survey.

Marvin Niederhaus, Nico Migenda, Julian Weller, Wolfram Schenck, Martin Kohlhase

Proceedings of the 35th Conference of Open Innovations Association, 2024

2022

Collaborative System for Question Answering in German Case Law Documents.

Christoph Hoppe, Nico Migenda, David Pelkmann, Daniel Hötte, Wolfram Schenck

Proceedings of the Collaborative Networks in Digitalization and Society 5.0, 2022

2021

Variational Autoencoder based Novelty Detection for Real-World Time Series.

Luca Steinmann, Nico Migenda, Tim Voigt, Martin Kohlhase, Wolfram Schenck

Proceedings of the MSIE 2021: 3rd International Conference on Management Science and Industrial Engineering, Osaka, Japan, April 2, 2021

Advanced Data Analytics Platform for Manufacturing Companies.

Tim Voigt, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, Martin Kohlhase

Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents.

Christoph Hoppe, David Pelkmann, Nico Migenda, Daniel Hötte, Wolfram Schenck

Proceedings of the Fourth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2021

2020

Adaptive Dimensionality Reduction for Local Principal Component Analysis.

Nico Migenda, Wolfram Schenck

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

2019

Adaptive Dimensionality Adjustment for Online "Principal Component Analysis".

Nico Migenda, Ralf Möller, Wolfram Schenck

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019