Mauritz Mälzer Master of Science
Person

Affiliations

Chair of Machine Tools Development and Adaptive Controls
- Academic Staff
- mauritz.maelzer@tu-dresden.de

Identification Numbers

Scopus author ID	57699580900

AutoML Applied to Time Series Analysis Tasks in Production Engineering

Conrad, F., Mälzer, M., Lange, F., Wiemer, H. & Ihlenfeldt, S., 2024, In: Procedia Computer Science. 232, p. 849-860 12 p.

Research output: Contribution to journal › Conference article › Contributed › peer-review

Digitization Workflow for Data Mining in Production Technology applied to a Feed Axis of a CNC Milling Machine

Drowatzky, L., Mälzer, M., Wejlupek, K. A., Wiemer, H. & Ihlenfeldt, S., 2024, In: Procedia Computer Science. 232, p. 169-182 14 p.

Research output: Contribution to journal › Conference article › Contributed › peer-review

Need for UAI–Anatomy of the Paradigm of Usable Artificial Intelligence for Domain-Specific AI Applicability

Wiemer, H., Schneider, D., Lang, V., Conrad, F., Mälzer, M., Boos, E., Feldhoff, K., & 2 othersDrowatzky, L. & Ihlenfeldt, S., Mar 2023, In: Multimodal Technologies and Interaction. 7, 3, 23 p., 27.

Research output: Contribution to journal › Research article › Contributed › peer-review

Illustration of the Usable AI Paradigm in Production-Engineering Implementation Settings

Wiemer, H., Conrad, F., Lang, V., Boos, E., Mälzer, M., Feldhoff, K., Drowatzky, L., & 2 othersSchneider, D. & Ihlenfeldt, S., 2023, Artificial Intelligence in HCI - 4th International Conference, AI-HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings. Degen, H. & Ntoa, S. (eds.). Springer Science and Business Media B.V., p. 640-661 22 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14050 LNAI).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Impact of Data Sampling on Performance and Robustness of Machine Learning Models in Production Engineering

Conrad, F., Boos, E., Mälzer, M., Wiemer, H. & Ihlenfeldt, S., 2023, Lecture Notes in Production Engineering. Springer Nature, p. 463-472 10 p. (Lecture Notes in Production Engineering, Vol. Part F1163).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Chapter in book/Anthology/Report › Contributed › peer-review

View all research output (7)

Research Portal of the TU Dresden