Reactive Soft Prototype Computing for frequent reoccurring Concept Drift. - Christoph Raab; Moritz Heusinger; Frank-Michael Schleif (ESANN, 2019)

Passive Concept Drift Handling via Momentum Based Robust Soft Learning Vector Quantization. - Moritz Heusinger; Christoph Raab; Frank-Michael Schleif (WSOM+, 2019)

Analyzing Dynamic Social Media Data via Random Projection - A New Challenge for Stream Classifiers. - Moritz Heusinger; Christoph Raab; Frank-Michael Schleif (EAIS, 2020)

Random Projection in supervised non-stationary environments. - Moritz Heusinger; Frank-Michael Schleif (ESANN, 2020)

Random Projection in the Presence of Concept Drift in Supervised Environments. - Moritz Heusinger; Frank-Michael Schleif (ICAISC (1), 2020)

Reactive Concept Drift Detection Using Coresets Over Sliding Windows. - Moritz Heusinger; Frank-Michael Schleif (SSCI, 2020)

Reactive Soft Prototype Computing for Concept Drift Streams. - Christoph Raab; Moritz Heusinger; Frank-Michael Schleif (Neurocomputing, 2020)

Federated Learning - Methods, Applications and beyond. - Moritz Heusinger; Christoph Raab; Fabrice Rossi; Frank-Michael Schleif (ESANN, 2021)

Classification in Non-stationary Environments Using Coresets over Sliding Windows. - Moritz Heusinger; Frank-Michael Schleif (IWANN (1), 2021)

Enhanced Changeover Detection in Industry 4.0 Environments with Machine Learning. - Eddi Miller; Vladyslav Borysenko; Moritz Heusinger; Niklas Niedner; Bastian Engelmann; Jan Schmitt (Sensors, 2021)

A Streaming Approach to the Core Vector Machine. - Moritz Heusinger; Frank-Michael Schleif (ICAISC (2), 2022)

Dimensionality reduction in the context of dynamic social media data streams. - Moritz Heusinger; Christoph Raab; Frank-Michael Schleif (Evol. Syst., 2022)

Passive concept drift handling via variations of learning vector quantization. - Moritz Heusinger; Christoph Raab; Frank-Michael Schleif (Neural Comput. Appl., 2022)

Learning with high dimensional data and preprocessing in non-stationary environments. - Moritz Heusinger (2023)

Detecting Changeover Events on Manufacturing Machines with Machine Learning and NC data. - Bastian Engelmann; Anna-Maria Schmitt; Moritz Heusinger; Vladyslav Borysenko; Niklas Niedner; Jan Schmitt (Appl. Artif. Intell., 2024)