Publikationen
-
Fahrner, Matthias; Kook, Lucas; Fröhlich, Klemens; Biniossek, Martin L.; Schilling, Oliver,
2021.
Proteomes.
9(2), S. 26.
Verfügbar unter: https://doi.org/10.3390/proteomes9020026
-
Templ, Matthias,
2021.
Artificial neural networks to impute rounded zeros in compositional data
.
In:
Filzmoser, Peter; Hron, Karel; Martín-Fernández, Josep Antoni; Palarea-Albaladejo, Javier, Hrsg.,
Advances in Compositional Data Analysis : Festschrift in Honour of Vera Pawlowsky-Glahn.
Cham:
Springer.
S. 163-187.
Verfügbar unter: https://doi.org/10.1007/978-3-030-71175-7_9
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Hadji Misheva, Branka; Jaggi, David; Posth, Jan-Alexander; Gramespacher, Thomas; Osterrieder, Joerg,
2021.
Audience-dependent explanations for AI-based risk management tools : a survey.
Frontiers in Artificial Intelligence.
4(794996).
Verfügbar unter: https://doi.org/10.3389/frai.2021.794996
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Schlögl, Sebastian; Bader, Nico; Anet, Julien Gérard; Frey, Martin; Spirig, Curdin; Renold, Manuel; Gutbrod, Karl,
2021.
In:
EGU General Assembly 2021, Online, 19-30 April 2021.
European Geosciences Union.
Verfügbar unter: https://doi.org/10.5194/egusphere-egu21-14143
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Anet, Julien G.; Schlögl, Sebastian; Spirig, Curdin; Frey, Martin P.; Renold, Manuel; Gutbrod, Karl G.,
2021.
Building a new high-density air temperature measurement network in two Swiss cities [Poster].
In:
EGU General Assembly 2021, Online, 19-30 April 2021.
European Geosciences Union.
Verfügbar unter: https://doi.org/10.5194/egusphere-egu21-9102
-
Templ, Matthias,
2021.
Can we ignore the compositional nature of compositional data by using deep learning aproaches? [Paper].
In:
Perna, Cirna; Salvati, Nicola; Schirripa Spagnolo, Francesco, Hrsg.,
Book of Short Papers SIS 2021.
Surface Inspection Summit Europe, Aachen, Germany, 9-10 November 2021.
London:
Pearson.
S. 243-248.
Verfügbar unter: https://it.pearson.com/content/dam/region-core/italy/pearson-italy/pdf/Docenti/Universit%C3%A0/pearson-sis-book-2021-parte-1.pdf
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Templ, Barbara; Templ, Matthias; Barbieri, Roberto; Meier, Michael; Zufferey, Vivan,
2021.
Coincidence of temperature extremes and phenological events of grapevines.
Oeno One.
55(1), S. 367-383.
Verfügbar unter: https://doi.org/10.20870/oeno-one.2021.55.1.3187
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Lubbe, Sugnet; Filzmoser, Peter; Templ, Matthias,
2021.
Comparison of zero replacement strategies for compositional data with large numbers of zeros.
Chemometrics and Intelligent Laboratory Systems.
210(104248).
Verfügbar unter: https://doi.org/10.1016/j.chemolab.2021.104248
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Goren Huber, Lilach; Pizza, Gianmarco,
2021.
Deep Learning und Predictive Maintenance : Anwendungsfall Windturbinen.
fmpro service.
2021(6), S. 6-8.
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Meierhofer, Jürg; Schweiger, Lukas; Schreuder, Lukas,
2021.
Digital twin based decision support services in business operations [Paper].
In:
West, Shaun; Meierhofer, Jürg; Ganz, Christopher, Hrsg.,
Smart services summit : digital as an enabler for smart service business development.
Third Smart Services Summit 2020, Zurich (online), 23 October - 23 December 2020.
Cham:
Springer.
S. 117-129.
Progress in IS.
Verfügbar unter: https://doi.org/10.1007/978-3-030-72090-2_11
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West, Shaun; Stoll, Oliver; Meierhofer, Jürg; Züst, Simon,
2021.
Digital twin providing new opportunities for value co-creation through supporting decision-making.
Applied Sciences.
11(9), S. 3750.
Verfügbar unter: https://doi.org/10.3390/app11093750
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Meierhofer, Jürg; Schweiger, Lukas; Lu, Jinzhi; Züst, Simon; West, Shaun; Stoll, Oliver; Kiritsis, Dimitris,
2021.
Digital twin-enabled decision support services in industrial ecosystems.
Applied Sciences.
11(23), S. 11418.
Verfügbar unter: https://doi.org/10.3390/app112311418
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Dettling, Marcel; Frey, Martin; Walser, Manuel; Haas, Patrick,
2021.
Impact of mislabelling on deep learning methods and strategies for improvement [Paper].
In:
Conference Proceedings of the 63rd ISI World Statistics Congress.
63rd ISI World Statistics Congress, virtual, 11-16 July 2021.
-
Arpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver,
2021.
Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows [Paper].
In:
ICML.
Verfügbar unter: https://www.climatechange.ai/papers/icml2021/20
-
Meierhofer, Jürg; Heitz, Christoph,
2021.
Service customization : optimizing value creation and capture by designing the customer journey [Paper].
In:
Proceedings of the 8th SDS.
8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.
IEEE.
S. 32-38.
Verfügbar unter: https://doi.org/10.1109/SDS51136.2021.00013
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West, Shaun; Meierhofer, Jürg; Ganz, Christopher, Hrsg.,
2021.
Smart Services Summit : digital as an enabler for smart service business development.
Third Smart Services Summit, Zurich (online), 23 October - 23 December 2020.
Cham:
Springer.
Progress in IS.
ISBN 978-3-030-72089-6.
Verfügbar unter: https://doi.org/10.1007/978-3-030-72090-2
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Kuljanin, Jovana; Kalić, Milica; Begović, Boris; Mijović, Nemanja; Renold, Manuel,
2021.
Journal of Air Transport Management.
91(102016).
Verfügbar unter: https://doi.org/10.1016/j.jairtraman.2020.102016
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Schmidhuber, Christoph,
2021.
Trends, reversion, and critical phenomena in financial markets.
Physica A: Statistical Mechanics and its Applications.
566(125642).
Verfügbar unter: https://doi.org/10.1016/j.physa.2020.125642
-
Templ, Matthias,
2020.
Artificial neural networks to impute rounded zeros in compositional data.
arXiv.
Verfügbar unter: https://doi.org/10.21256/zhaw-21964
-
Templ, Matthias,
2020.
Anonymization and re-identification risk of personal data.
In:
Gästekolloquium Psychologisches Institut Universität Zürich, Zürich, 9. November 2020.
-
Filzmoser, Peter; Lubbe, Sugnet; Templ, Matthias,
2020.
Strategies to replace high proportions of zeros in compositional data.
In:
1st Conference on Information Technology and Data Science, CITDS, Debrecen, Hungary / Online, 6-8 November 2020.
-
Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach,
2020.
In:
Proceedings of the Annual Conference of the PHM Society 2020.
12th Annual Conference of the PHM Society, virtual, 9-13 November 2020.
PHM Society.
Verfügbar unter: https://doi.org/10.36001/phmconf.2020.v12i1.1205
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Meierhofer, Jürg; Homberger, Pascal,
2020.
Digitale Service Innovation in Wertschöpfungsnetzwerken : Anwendung im Getränkemarkt.
Servicetoday.
2020(4), S. 78-79.
Verfügbar unter: https://doi.org/10.21256/zhaw-20827
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Müller, Marianne; Haenni Hoti, Andrea,
2020.
Item analysis of the KIDSCREEN-10 using Rasch modelling.
Health and Quality of Life Outcomes.
18(1), S. 342-384.
Verfügbar unter: https://doi.org/10.1186/s12955-020-01596-6
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Weber, Maurice; Renggli, Cedric; Grabner, Helmut; Zhang, Ce,
2020.
Observer dependent lossy image compression [Paper].
In:
42nd German Conference on Pattern Recognition (DAGM-GCPR), virtual, 28 September - 1 October 2020.
Verfügbar unter: https://doi.org/10.48550/arXiv.1910.03472
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Sedding, Helmut A.,
2020.
Scheduling jobs with a V-shaped time-dependent processing time.
Journal of Scheduling.
23(6), S. 751-768.
Verfügbar unter: https://doi.org/10.1007/s10951-020-00665-4
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Meierhofer, Jürg; Dobler, Martin; Frick, Klaus; Schweiger, Lukas,
2020.
Smart service patterns for small manufacturing enterprises [Paper].
In:
Bigdeli, Ali; Baines, Tim, Hrsg.,
Proceedings of the Spring Servitization Conference : Advanced Services for Sustainability and Growth.
Spring Servitization Conference "Advanced Services for Sustainability and Growth", Online, 14-16 September 2020.
Birmingham:
Aston University.
S. 88-95.
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West, Shaun; Meierhofer, Jürg; Stoll, Oliver; Schweiger, Lukas,
2020.
Value propositions enabled by digital twins in the context of servitization [Paper].
In:
Bigdeli, Ali; Baines, Tim, Hrsg.,
Proceedings of the Spring Servitization Conference : Advanced Services for Sustainability and Growth.
Spring Servitization Conference "Advanced Services for Sustainability and Growth", Online, 14-16 September 2020.
Birmingham:
Aston University.
S. 152-160.
-
Müller, Marianne,
2020.
Item fit statistics for Rasch analysis : can we trust them?.
Journal of Statistical Distributions and Applications.
7(5).
Verfügbar unter: https://doi.org/10.1186/s40488-020-00108-7
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Meierhofer, Jürg,
2020.
Die Konvergenz von Digitalisierung und Servitisierung in der Industrie 4.0.
Aktuelle Technik.
2020(8), S. 32.
Verfügbar unter: https://doi.org/10.21256/zhaw-20432
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Sauermann, Stefan; Kanjala, Chifundo; Templ, Matthias; Austin, Claire C.,
2020.
Preservation of individuals’ privacy in shared COVID-19 related data.
SSRN.
Verfügbar unter: https://doi.org/10.2139/ssrn.3648430
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Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Manninen, Jaakko; Goren Huber, Lilach,
2020.
Early fault detection based on wind turbine SCADA data using convolutional neural networks [Paper].
In:
PHME 2020 : Proceedings of the 5th European Conference of the PHM Society.
5th European Conference of the Prognostics and Health Management Society, Virtual Conference, 27-31 July 2020.
PHM Society.
Verfügbar unter: https://doi.org/10.36001/phme.2020.v5i1.1217
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Meierhofer, Jürg; West, Shaun,
2020.
Data-driven decision support by digital twins in manufacturing [Paper].
In:
Proceedings of the 7th SDS.
7th Swiss Conference on Data Science, Lucerne, Switzerland, 26 June 2020.
IEEE.
S. 53-54.
Verfügbar unter: https://doi.org/10.1109/SDS49233.2020.00019
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Pizza, Gianmarco; Notaristefano, Antonio; Fabbri, Gregory Sean; Goren Huber, Lilach,
2020.
An AI-based fault detection model using alarms and warnings from the SCADA system [Poster].
In:
Proceedings of the WindEurope Technology Workshop 2020.
WindEurope Technology Workshop 2020 : Resource Assessment & Analysis of Operating Wind Farms, online, 8-11 June 2020.
WindEurope.
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Meierhofer, Jürg; Heitz, Christoph,
2020.
Data-Driven Management zur Steigerung des Kundennutzens.
Netzwoche.
2020(07), S. 11.
Verfügbar unter: https://www.netzwoche.ch/news/2020-04-22/data-driven-management-zur-steigerung-des-kundennutzens
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Hübsch, Christine; Müller, Marianne; Spirig, Rebecca; Kleinknecht‐Dolf, Michael,
2020.
Journal of Nursing Management.
Verfügbar unter: https://doi.org/10.1111/jonm.13026
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Goren Huber, Lilach,
2020.
Intelligente Instandhaltung : Chancen und Herausförderungen für die Umsetzung in der Praxis.
In:
Smart Maintenance Konferenz, Maintenance Messe, Zürich Oerlikon, 12. - 13. Februar 2020.
Verfügbar unter: https://www.maintenance-schweiz.ch/en/smart-maintenance-conference/
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Templ, Matthias; Heitz, Christoph,
2020.
Austrian Journal of Statistics.
49(2), S. 53-69.
Verfügbar unter: https://doi.org/10.17713/ajs.v49i2.1114
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Meierhofer, Jürg; West, Shaun; Rapaccini, Mario; Barbieri, Cosimo,
2020.
The digital twin as a service enabler : from the service ecosystem to the simulation model [Paper].
In:
Nóvoa, Henriqueta; Drăgoicea, Monica; Kühl, Niklas, Hrsg.,
IESS 2020 : Exploring Service Science.
10th International Conference on Exploring Service Science, Porto, Portugal, 5–7 February 2020.
Cham:
Springer.
S. 347-359.
Lecture Notes in Business Information Processing ; 377.
Verfügbar unter: https://doi.org/10.1007/978-3-030-38724-2_25
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Wildi, Marc; McElroy, Tucker,
2020.
The multivariate linear prediction problem : model-based and direct filtering solutions.
Econometrics and Statistics.
14, S. 112-130.
Verfügbar unter: https://doi.org/10.1016/j.ecosta.2019.12.004
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Heitz, Christoph,
2020.
Algorithmic Fairness : Algorithmen und soziale Gerechtigkeit.
Inside IT.
Verfügbar unter: https://www.inside-it.ch/post/dsi-insights-algorithmic-fairness-algorithmen-und-soziale-gerechtigkeit-20200110
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Loi, Michele; Heitz, Christoph; Christen, Markus,
2020.
A comparative assessment and synthesis of twenty ethics codes on AI and big data [Paper].
In:
7th Swiss Conference on Data Science, Lucerne, Switzerland, 26 June 2020.
IEEE.
S. 41-46.
Verfügbar unter: https://doi.org/10.1109/SDS49233.2020.00015
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Templ, Matthias; Templ, Barbara,
2020.
Analysis of chemical compounds in beverages : guidance for establishing a compositional analysis.
Food Chemistry.
325(126755).
Verfügbar unter: https://doi.org/10.1016/j.foodchem.2020.126755
-
Templ, Matthias,
2020.
Anonymisierung von personenbezogenen Daten.
In:
Winterkongress der Digitalen Gesellschaft, Zürich, 22. Februar 2020.
-
Christen, Markus; Heitz, Christoph; Kleiber, Tom; Loi, Michele,
2020.
Code of ethics for data-based value creation.
Thun:
Swiss Alliance for Data-Intensive Services.
ISBN 978-3-9522703-3-2.
Verfügbar unter: https://doi.org/10.21256/zhaw-24226
-
Finckh, A; Tellenbach, C; Herzog, L; Scherer, A; Moeller, B; Ciurea, A; von Muehlenen, I; Gabay, C; Kyburz, D; Brulhart, L; Müller, R; Hasler, P; Zufferey, P,
2020.
RMD Open.
6, S. e001174.
Verfügbar unter: https://doi.org/10.1136/rmdopen-2020-001174
-
Meierhofer, Jürg,
2020.
.
In:
Meierhofer, Jürg; Kugler, Petra, Hrsg.,
Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften, School of Engineering.
S. 69-79.
Verfügbar unter: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu/file
-
Meierhofer, Jürg; Etschmann, Roman; Dobler, Martin,
2020.
Data Science veranschaulichen : Demonstrator
.
In:
Meierhofer, Jürg; Kugler, Petra, Hrsg.,
Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften, School of Engineering.
S. 127-141.
Verfügbar unter: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu/file
-
Meierhofer, Jürg; Kugler, Petra, Hrsg.,
2020.
Data4KMU : Data Science für KMU leicht gemacht. Aktuelle Erkenntnisse und Lösungen.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: http://bzi40.eu/informationen/publikationen/studien/382-abschlussbericht-data4kmu
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Mohanty, Sharada Prasanna; Czakon, Jakub; Kaczmarek, Kamil A.; Pyskir, Andrzej; Tarasiewicz, Piotr; Kunwar, Saket; Rohrbach, Janick; Luo, Dave; Prasad, Manjunath; Fleer, Sascha; Göpfert, Jan Philip; Tandon, Akshat; Mollard, Guillaume; Rayaprolu, Nikhil; Salathe, Marcel; Schilling, Malte,
2020.
Deep learning for understanding satellite imagery : an experimental survey.
Frontiers in Artificial Intelligence.
3(534696).
Verfügbar unter: https://doi.org/10.3389/frai.2020.534696
-
Templ, Matthias,
2020.
Exploratives Lernen mittels Fallen stellen, Fehler provozieren und Feedback geben.
In:
IAS Tag der Lehre, Wädenswil, 8. Januar 2020.
-
Templ, Matthias,
2020.
Functional data analysis in Bayes spaces with an application to spatio-temporal population data.
In:
uRos 2020 Abstracts.
Use of R in Official Statistics 2020 : 8th international conference, virtual, 2-4 December 2020.
Statistik Austria.
Verfügbar unter: https://uros.hopto.org/
-
Chen, Ying; Giudici, Paolo; Hadji Misheva, Branka; Trimborn, Simon,
2020.
Lead behaviour in Bitcoin markets.
Risks.
8(1), S. 4.
Verfügbar unter: https://doi.org/10.3390/risks8010004
-
Bödi, Linda Helen; Grabner, Helmut,
2020.
Learning to ignore : fair and task independent representations.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-21602
-
Grize, Yves-Laurent; Fischer, Wolfram; Lützelschwab, Christian,
2020.
Machine learning applications in nonlife insurance.
Applied Stochastic Models in Business and Industry.
36(4), S. 523-537.
Verfügbar unter: https://doi.org/10.1002/asmb.2543
-
Grize, Yves-Laurent; Fischer, Wolfram; Lützelschwab, Christian,
2020.
Machine learning applications in non‐life insurance : discussion rejoinder.
Applied Stochastic Models in Business and Industry.
36(4), S. 545-547.
Verfügbar unter: https://doi.org/10.1002/asmb.2564
-
Templ, Matthias,
2020.
Modeling and prediction of the impact factor of journals using open-access databases.
Austrian Journal of Statistics.
49(5), S. 35-58.
Verfügbar unter: https://doi.org/10.17713/ajs.v49i5.1186
-
Bütikofer, Stephan; Steiner, Albert; Wüst, Raimond,
2020.
Periodic timetabling with flexibility based on a mesoscopic topology [Paper].
In:
Operations Research Proceedings 2019.
Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, 4-6 September 2019.
Cham:
Springer.
S. 789-795.
Operations Research Proceedings.
Verfügbar unter: https://doi.org/10.1007/978-3-030-48439-2_96
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Rosadi, Dedi; Setiawan, Ezra Putranda; Templ, Matthias; Filzmoser, Peter,
2020.
Robust covariance estimators for mean-variance portfolio optimization with transaction lots.
Operations Research Perspectives.
7(100154).
Verfügbar unter: https://doi.org/10.1016/j.orp.2020.100154
-
Mansor, Kamarul; Alexandru, Ciprian; Templ, Matthias, Hrsg.,
2020.
2019 4th International Conference on Computing, Mathematics and Statistics 2019 (iCMS2019), Kedah (Malaysia), 23-24 April, 2019.
Austrian Statistical Society.
.
Verfügbar unter: https://www.ajs.or.at/index.php/ajs/issue/view/93
-
Sedding, Helmut A.,
2020.
Wiesbaden:
Springer.
ISBN 978-3-658-28414-5.
Verfügbar unter: https://doi.org/10.1007/978-3-658-28415-2
-
Klinkert, Andreas; Fusek, Peter; Riesen, Bruno; Berner, Roman,
2019.
Automated airport staff scheduling at Swissport International Ltd..
IFORS News.
13(4), S. 2-4.
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Meierhofer, Jürg,
2019.
Big Data und Machine Learning in Industrie 4.0 : Perspektiven für Service-Modelle.
KunststoffXtra.
9(12), S. 19-21.
Verfügbar unter: https://issuu.com/sigwerbgmbh/docs/web_kx_12-2019/1?ff&showOtherPublicationsAsSuggestions=true&backgroundColorFullscreen=%23e8edf0
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Wüst, Raimond Matthias; Bütikofer, Stephan; Köchli, Joël; Ess, Severin,
2019.
In:
Proceedings of the 2nd International Railway Symposium Aachen 2019.
IRSA 2019 : 2nd International Railway Symposium, Aachen, Germany, 26-28 November 2019.
Aachen:
RWTH Aachen University.
S. 226-244.
Verfügbar unter: https://doi.org/10.18154/RWTH-2019-11969
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Wildi, Marc; Bundi, Nils Andri; et al.,
2019.
Bitcoin and market-(in)efficiency : a systematic time series approach.
Digital Finance.
1(1), S. 47-65.
Verfügbar unter: https://doi.org/10.1007/s42521-019-00004-z
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Schweiger, Lukas; Meierhofer, Jürg,
2019.
Data-driven servitization of SMEs : assessment of success factors based on a multiple case study [Paper].
In:
Servitization 2019: 8th International Conference on Business Servitization (ICBS 2019), November 21-22, 2019 : book of abstracts.
8th International Conference on Business Servitization (ICBS), San Sebastian, Spain, November 21-22, 2019.
OmniaScience.
S. 85-88.
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Fusek, Peter,
2019.
Airport ground staff scheduling : a real-world business application.
In:
Smith Institute and Gurobi Optimization partnership event : Hitting it for six: using optimisation to unlock business efficiencies, London, 2 October 2019.
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Meierhofer, Jürg; Heinatz Bürki, Gundula; Heitz, Christoph,
2019.
Unternehmer Zeitung.
25(10), S. 20-23.
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Herrmann, Thomas; Sedding, Helmut,
2019.
Industrie 4.0 von morgen diskutiert.
Technische Rundschau.
111(10), S. 74-75.
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Wüst, Raimond Matthias; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint; et al.,
2019.
Journal of Rail Transport Planning & Management.
11, S. 100146.
Verfügbar unter: https://doi.org/10.1016/j.jrtpm.2019.100146
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Herrmann, Thomas; Sedding, Helmut,
2019.
ZHAW Industrie 4.0.
Verfügbar unter: https://blog.zhaw.ch/industrie4null/2019/09/18/die-produktion-von-morgen/
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Wüst, Raimond; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint,
2019.
In:
Peterson, Anders; Joborn, Martin; Bohlin, Markus, Hrsg.,
RailNorrköping 2019.
8th International Conference on Railway Operations Modelling and Analysis, Norrköping, Sweden, 17-20 June 2019.
Linköping:
Linköping University Electronic Press.
S. 1140-1157.
Linköping Electronic Conference Proceedings ; 69.
Verfügbar unter: https://doi.org/10.21256/zhaw-18282
-
Bütikofer, Stephan; Wüst, Raimond Matthias; Ess, Severin,
2019.
Periodic timetabling with flexibility based on a mesoscopic topology.
In:
Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, 4-6 September 2019.
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Meierhofer, Jürg; West, Shaun, Hrsg.,
2019.
Second Smart Services Summit, Zurich, Switzerland, 13 September 2019.
Thun:
Swiss Alliance for Data-Intensive Services.
.
ISBN 978-3-033-07563-4.
Verfügbar unter: https://doi.org/10.21256/zhaw-26321
-
Huber, Evelyn; Kleinknecht‐Dolf, Michael; Kugler, Christiane; Müller, Marianne; Spirig, Rebecca,
2019.
Validation of the instrument “Complexity of Nursing Care” : a mixed‐methods study.
Nursing Open.
7(1), S. 212-224.
Verfügbar unter: https://doi.org/10.1002/nop2.383
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Wüst, Raimond; Bütikofer, Stephan; Ess, Severin; Gomez, Claudio; Steiner, Albert; Laumanns, Marco; Szabo, Jacint,
2019.
In:
Operations Research Proceedings 2018.
OR2018, Operations Research Conference, Brussels, Belgium, 12-14 September 2018.
Cham:
Springer.
S. 571-578.
Operations Research Proceedings.
Verfügbar unter: https://doi.org/10.1007/978-3-030-18500-8_71
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Breymann, Wolfgang; Kucharczyk, Daniel Adam; Gross, Francis,
2019.
Modelling the economy as a network of contracts : an ACTUS-based demonstrator applied to liquidity.
In:
6th Annual Conference of the Society for Economic Measurement, Frankfurt, 16-18 August 2019.
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Breymann, Wolfgang; Bundi, Nils; Heitz, Jonas; Micheler, Johannes; Stockinger, Kurt,
2019.
Large-scale data-driven financial risk assessment
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
S. 387-408.
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