Data Analytics for Industrial Process Improvement A Vision Paper. - Stefan Thalmann; Juergen Mangler; Tobias Schreck; Christian Huemer; Marc Streit; Florian Pauker; Georg Weichhart; Stefan Schulte 002; Christian Kittl; Christoph Pollak; Matej Vukovic; Gerti Kappel; et al. (CBI (2), 2018)

Taking Complexity into Account: A Structured Literature Review on Multi-component Systems in the Context of Predictive Maintenance. - Milot Gashi; Stefan Thalmann (EMCIS, 2019)

Towards a Task-based Guidance in Exploratory Visual Analytics. - Belgin Mutlu; Milot Gashi; Vedran Sabol (HICSS, 2021)

Dealing with missing usage data in defect prediction: A case study of a welding supplier. - Milot Gashi; Patrick Ofner; Helmut Ennsbrunner; Stefan Thalmann (Comput. Ind., 2021)

Decision support for multi-component systems: visualizing interdependencies for predictive maintenance. - Milot Gashi; Belgin Mutlu; Stefanie N. Lindstaedt; Stefan Thalmann (HICSS, 2022)

Poster Abstract: Machine Learning-based Models for Phase-Difference-of-Arrival Measurements Using Ultra-Wideband Transceivers. - Leo Botler; Milot Gashi; Konrad Diwold; Kay Römer (IPSN, 2022)

Poster Abstract: Accurate and Efficient Hybrid Indoor Localization using ML Methods. - Milot Gashi; Leo Botler; Georgios Koutroulis; Konrad Diwold (IPSN, 2022)

MEDEP: Maintenance Event Detection for Multivariate Time Series Based on the PELT Approach. - Milot Gashi; Heimo Gursch; Hannes Hinterbichler; Stefan Pichler; Stefanie N. Lindstaedt; Stefan Thalmann (Sensors, 2022)