Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets

Autor: Kowald, Dominik, Traub, Matthias, Theiler, Dieter, Gursch, Heimo, Lacic, Emanuel, Lindstaedt, Stefanie, Kern, Roman, Lex, Elisabeth

This work addresses the problem of providing and evaluating recommendations in data markets. Since most of the research in recommender systems is focused on the bipartite relationship between users and items (e.g., movies), we extend this view to the

Externí odkaz: http://arxiv.org/abs/1908.04017

Confidentiality-preserving data exchange to enable sustainable product management via digital product passports - a conceptualization.

Autor: Berger, Katharina, Rusch, Magdalena, Pohlmann, Antonia, Popowicz, Martin, Geiger, Bernhard C., Gursch, Heimo, Schöggl, Josef-Peter, Baumgartner, Rupert J.

Publikováno v: In Procedia CIRP 2023 116:354-359

From Data to Visualisations and Back: Selecting Visualisations Based on Data and System Design Considerations

Autor: Mutlu, Belgin, Sabol, Vedran, Gursch, Heimo, Kern, Roman

Graphical interfaces and interactive visualisations are typical mediators between human users and data analytics systems. HCI researchers and developers have to be able to understand both human needs and back-end data analytics. Participants of our t

Externí odkaz: http://arxiv.org/abs/1609.05641

Detection of interferences in an additive manufacturing process: an experimental study integrating methods of feature selection and machine learning.

Autor: Stanisavljevic, Darko, Cemernek, David, Gursch, Heimo, Urak, Günter, Lechner, Gernot

Publikováno v: International Journal of Production Research; May2020, Vol. 58 Issue 9, p2862-2884, 23p, 1 Color Photograph, 4 Diagrams, 2 Charts, 7 Graphs

KI-Waste - Combining Image Recognition and Time Series Analysis in Refuse Sorting

Autor: Gursch, Heimo, Ganster, Harald, Rinnhofer, Alfred, Waltner, Georg, Payer, Christian, Oberwinkler, Christian, Meisenbichler, Reinhard, Kern, Roman

Refuse sorting is a key technology to increase the recycling rate and reduce the growths of landfills worldwide. The project KI-Waste combines image recognition with time series analysis to monitor and optimise processes in sorting facilities. The im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::27a8a33ad2ab811b233ce71ab324d7e5