Publikationen | ZHAW Institut für Datenanalyse und Prozessdesign IDP

Zgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach,

2022.

Physics informed deep learning for tracker fault detection in photovoltaic power plants [Paper].

In:

Kulkarni, Chetan; Saxena, Abhinav, Hrsg.,

Proceedings of the Annual Conference of the PHM Society 2022.

14th Annual Conference of the Prognostics and Health Management Society, Nashville, USA, 1-4 November 2022.

PHM Society.

Verfügbar unter: https://doi.org/10.36001/phmconf.2022.v14i1.3235

Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach,

2022.

Uncertainty informed anomaly scores with deep learning : robust fault detection with limited data [Paper].

In:

Do, Phuc; Michau, Gabriel; Ezhilarasu, Cordelia, Hrsg.,

Proceedings of the 7th European Conference of the Prognostics and Health Management Society 2022.

7th European PHM, Turin, Italy, 6-8 July 2022.

State College:

PHM Society.

S. 530-540.

PHM Society European Conference ; 7.

Verfügbar unter: https://doi.org/10.36001/phme.2022.v7i1.3342

Goren Huber, Lilach,

2022.

Scaling-up deep learning based predictive maintenance for commercial machine fleets : a case study.

In:

9th Swiss Conference on Data Science (SDS), Lucerne, Switzerland, 22.-23. Juni 2022.

Sedding, Helmut,

2022.

Scheduling with time-dependent processing time functions of V-shaped linear pieces.

In:

18th Swiss Operations Research Days (Swiss OR Days 2022), Winterthur, Switzerland, 2-3 June 2022.

Goren Huber, Lilach; Notaristefano, Antonio,

2022.

Predictive Maintenance mit Physics-Informed-Deep-Learning : Anwendungsfall Photovoltaikanlagen.

fmpro service.

2022(3), S. 24-25.

Verfügbar unter: https://doi.org/10.21256/zhaw-25292

Meierhofer, Jürg; Kugler, Petra; Vogt, Helen; Dobler, Martin; Benedech, Rodolfo Andres; Strittmatter, Marc; Treiterer, Manuel,

2022.

Improving service value creation for manufacturing SMEs by overcoming data sharing hurdles in ecosystems [Paper].

In:

Bigdeli, Ali; Rapaccini, Mario; Saccani, Nicola; Adrodegari, Federico; Baines, Tim, Hrsg.,

Achieving Net-Zero through Servitization.

Spring Servitization Conference (SSC), Florence, Italy, 9-10 May 2022.

Birmingham:

Aston University.

S. 86-94.

Schweiger, Lukas; Meierhofer, Jürg; Barbieri, Cosimo; Rapaccini, Mario,

2022.

End-to-end digital twin approach for near-real-time decision support services [Paper].

In:

West, Shaun; Meierhofer, Jürg; Mangla, Utpal, Hrsg.,

Smart services summit : smart services supporting the new normal.

Fourth Smart Services Summit, Zurich, 22 October 2021.

Cham:

Springer.

S. 67-75.

Progress in IS.

Verfügbar unter: https://doi.org/10.1007/978-3-030-97042-0_7

Schmidhuber, Christof,

2022.

Financial markets and the phase transition between water and steam.

Physica A: Statistical Mechanics and its Applications.

592(126873).

Verfügbar unter: https://doi.org/10.1016/j.physa.2022.126873

Meierhofer, Jürg,

2022.

Wie produzierende KMU den Wert ihrer Daten erkennen können.

Topsoft-Fachmagazin.

22(1), S. 10-11.

Verfügbar unter: https://doi.org/10.21256/zhaw-24559

Meierhofer, Jürg; Benedech, Rodolfo Andres; Schweiger, Lukas; Barbieri, Cosimo; Rapaccini, Mario,

2022.

Quantitative modelling of the value of data for manufacturing SMEs in smart service provision [Paper].

In:

Le Dinh, Thắng; Drăgoicea, Monica, Hrsg.,

International Conference on Exploring Service Science (IESS 2.2).

12th International Conference on Exploring Service Science, Geneva (virtual), 16-18 February 2022.

EDP Sciences.

S. 04001.

ITM Web of Conferences ; 41.

Verfügbar unter: https://doi.org/10.1051/itmconf/20224104001

Meierhofer, Jürg,

2022.

Den Wert von Daten bestimmen.

KunststoffXtra .

1-2(2022), S. 30-32.

Verfügbar unter: https://doi.org/10.21256/zhaw-24530

Baldenweg-Bölle, Ulrike; Meierhofer, Jürg; Mertes, Alexander,

2022.

Co-creating service value from data in a public administration context.

Swiss Yearbook of Administrative Sciences.

13(1), S. 35-50.

Verfügbar unter: https://doi.org/10.5334/ssas.163

Pezzotta, Giuditta; Arioli, Veronica; Adrodegari, Federico; Rapaccini, Mario; Saccani, Nicola; Rakic, Slavko; Marjanovic, Ugljesa; West, Shaun; Stoll, Oliver; Meierhofer, Jürg; Holst, Lennard; Wiesner, Stefan A.; Bertoni, Marco; Romero, David; Pirola, Fabiana; Sala, Roberto; Gaiardelli, Paolo,

2022.

Digital servitization in the manufacturing sector : survey preliminary results [Paper].

In:

Kim, Duck Young; Cieminski, Gregor von; Romero, David, Hrsg.,

Advances in Production Management Systems. Smart Manufacturing and Logistics Systems : Turning Ideas into Action : IFIP WG 5.7 International Conference, APMS 2022, Gyeongju, South Korea, September 25-29, 2022, Proceedings, Part II.

IFIP International Conference on Advances in Production Management Systems (APMS 2022), hybrid, 25-29 September 2022.

Cham:

Springer.

S. 310-320.

Verfügbar unter: https://doi.org/10.1007/978-3-031-16411-8_37

Baumann, Joachim; Hannák, Anikó; Heitz, Christoph,

2022.

Enforcing group fairness in algorithmic decision making : utility maximization under sufficiency [Paper].

In:

2022 ACM Conference on Fairness, Accountability, and Transparency.

FAccT '22 : 2022 ACM Conference on Fairness, Accountability, and Transparency, hybrid, 21-24 June 2022.

New York, NY:

ACM.

S. 2315-2326.

Verfügbar unter: https://doi.org/10.1145/3531146.3534645

Larsson, Anders; Elldér, Erik; Vafeiadis, Evangelos; Curtis, Carey; Steiner, Albert,

2022.

Exploring the potential for sustainable accessibility across settlement types : a Swedish case.

Transportation Research Part D: Transport and Environment.

107(103297).

Verfügbar unter: https://doi.org/10.1016/j.trd.2022.103297

Baumann, Joachim; Heitz, Christoph,

2022.

Group fairness in prediction-based decision making : from moral assessment to implementation [Paper].

In:

Proceedings 2022 9th Swiss Conference on Data Science (SDS).

2022 9th Swiss Conference on Data Science (SDS), Lucerne, Switzerland, 22-23 June 2022.

IEEE.

S. 19-25.

Verfügbar unter: https://doi.org/10.1109/SDS54800.2022.00011

Meierhofer, Jürg; Lindegger, Reto; Brunner, Roger,

2022.

Nutzen für BürgerInnen und Verwaltung durch einen Smart Service-orientierten Gestaltungsansatz

.

In:

Pleger, Lyn Ellen; Mertes, Alexander, Hrsg.,

Digitale Transformation der öffentlichen Verwaltung in der Schweiz.

Wiesbaden:

Springer.

S. 219-241.

Verfügbar unter: https://doi.org/10.1007/978-3-658-36591-2_10

Dobler, Martin; Meierhofer, Jürg; Frick, Klaus; Bentele, Marcus,

2022.

On the use of low-code and no-code tools for teaching data science in applied industrial and university settings [Paper].

In:

Morel, Laure; Dupont, Laurent; Camargo, Mauricio, Hrsg.,

Conference Proceedings of 2022 IEEE 28th ICE/IMT & 31st IAMOT joint conference.

28th IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association for Management of Technology (IAMOT) Joint Conference, Nancy, France, 19 - 23 June 2022.

IEEE.

S. 242-249.

Meierhofer, Jürg; Benedech, Rodolfo Andres; Heitz, Christoph,

2022.

On the value of data : multi-objective maximization of value creation in data-driven industrial services [Paper].

In:

Ceballos, Cristina, Hrsg.,

Proceedings : 2022 9th Swiss Conference on Data Science (SDS).

9th Swiss Conference on Data Science (SDS 2022), Lucerne, Switzerland, 22-23 June 2022.

IEEE.

S. 33-39.

Verfügbar unter: https://doi.org/10.1109/SDS54800.2022.00013

West, Shaun; Meierhofer, Jürg; Mangla, Utpal, Hrsg.,

2022.

Smart services summit : smart services supporting the new normal.

Fourth Smart Services Summit, Zurich, 22 October 2021.

Cham:

Springer.

Progress in IS.

ISBN 978-3-030-97041-3.

Verfügbar unter: https://doi.org/10.1007/978-3-030-97042-0

Gioia, Stefano; De Martinis, Valerio; Bütikofer, Stephan; Wüst, Reimond Matthias,

2021.

Evaluation of the delay management potential on a macroscopic level [Paper].

In:

de Doncker, Rik W.; Nießen, Nils; Friesen, Nadine; Schindler, Christian, Hrsg.,

IRSA 2021 : Tagungsband.

3rd International Railway Symposium Aachen (IRSA), Aachen, Germany, 21-23 November 2021.

Aachen:

RWTH Aachen University.

S. 165-180.

Verfügbar unter: https://doi.org/10.18154/RWTH-2022-01700

Schmidhuber, Christoph,

2021.

Chaitin’s Omega and an algorithmic phase transition.

Physica A: Statistical Mechanics and its Applications.

586, S. 126458.

Verfügbar unter: https://doi.org/10.1016/j.physa.2021.126458

Steiner, Albert; Scherrer, Maike,

2021.

Die Zukunft der Mobilität gemeinsam gestalten.

Mobility Impacts.

2021(2), S. 40-41.

Templ, Matthias; Templ, Barbara,

2021.

Statistical analysis of chemical element compositions in Food Science : problems and possibilities.

Molecules.

26(19), S. 5752.

Verfügbar unter: https://doi.org/10.3390/molecules26195752

Meierhofer, Jürg; Heitz, Christoph; Hannich, Frank,

2021.

Optimizing service value creation with smart, connected products [Paper].

In:

Gummesson, Evert; Mele, Cristina; Polese, Francesco, Hrsg.,

Proceedings of the 2021 Naples Forum on Service.

The 2021 Naples Forum on Service, a Service Lens on Changing Business and Society, Capri, Italy, 6-9 September 2021.

Verfügbar unter: https://naplesforumonservice.com/wp-content/uploads/2021/09/meierhofer-heitz-hannich-optimizing-service-value-creation.pdf

Larsson, Anders; Elldér, Erik; Vafeiadis, Evangelos; Curtis, Carey; Steiner, Albert,

2021.

A multi-modal, multi-activity, multi-scalar analysis for sustainable accessibility planning [Paper].

In:

World Symposium on Transport and Land Use Research 2021, online, 9-11 August 2021.

Meierhofer, Jürg; Heinatz Bürki, Gundula,

2021.

Databooster : ein Katalysator für Serviceinnovation.

Service Today.

35(3), S. 62.

Verfügbar unter: https://doi.org/10.21256/zhaw-23050

Dettling, Marcel; Walser, Manuel; Frey, Martin,

2021.

Impact of mislabelling on deep learning.

In:

63rd ISI World Statistics Congress, virtual, 11-16 July 2021.

Hertweck, Corinna; Heitz, Christoph,

2021.

A systematic approach to group fairness in automated decision making [Paper].

In:

Proceedings of the 8th SDS.

8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.

IEEE.

S. 1-6.

Verfügbar unter: https://doi.org/10.1109/SDS51136.2021.00008

Goren Huber, Lilach; Acquaviva, Michele; Pizza, Gianmarco,

2021.

Implementing AI-based innovation in industry.

In:

Live-Case-Workshop for EMBA Digital Transformation, University Zurich, 6 July 2021.

Sedding, Helmut,

2021.

A lower bound for sequentially placing boxes at the moving assembly line to minimize walking time [Paper].

In:

IWDSP 2021 : The Third International Workshop on Dynamic Scheduling Problems, Poznań (Poland), 5-7 July 2021.

Zgraggen, Jannik; Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach,

2021.

Transfer learning approaches for wind turbine fault detection using deep learning [Paper].

In:

Proceedings of the European Conference of the PHM Society 2021.

6th European Conference of the Prognostics and Health Management Society, online, 28 June - 2 July 2021.

PHM Society.

S. 12.

Verfügbar unter: https://doi.org/https://papers.phmsociety.org/index.php/phme/issue/archive

Erland, Sveinung; Kaupužs, Jevgenijs; Steiner, Albert; Bachmat, Eitan,

2021.

Lorentzian geometry and variability reduction in airplane boarding : slow passengers first outperforms random boarding.

Physical Review E.

103(6), S. 062310.

Verfügbar unter: https://doi.org/10.1103/PhysRevE.103.062310

Stadelmann, Thilo; Keuzenkamp, Julian; Grabner, Helmut; Würsch, Christoph,

2021.

The AI-Atlas : didactics for teaching AI and machine learning on-site, online, and hybrid.

Education Sciences.

11(7), S. 318.

Verfügbar unter: https://doi.org/10.3390/educsci11070318

Sedding, Helmut,

2021.

IISE Transaction Award für Artikel zur algorithmischen Laufwege-Optimierung am Fliessband.

ZHAW Industrie 4.0.

Verfügbar unter: https://blog.zhaw.ch/industrie4null/2021/06/01/iise-transaction-award-fuer-artikel-zur-algorithmischen-laufwege-optimierung-am-fliessband/

Zimmermann, Anja; Meierhofer, Jürg; von dem Berge, Karina; Schweiger, Lukas,

2021.

Servicekultur als Katalysator für Serviceinnovationen.

Service Today.

35(2), S. 72-73.

Verfügbar unter: https://doi.org/10.21256/zhaw-22653

Sedding, Helmut,

2021.

Line side placement for shorter assembly line worker paths.

In:

IISE Annual Virtual Conference & Expo 2021, 23-25 May 2021.

Meierhofer, Jürg; Züst, Simon; Lu, Jinzhi; Schweiger, Lukas; Kiritsis, Dimitris,

2021.

Enabling decision support services in industrial ecosystems by digital twins [Paper].

In:

Bigdeli, Ali; Baines, Tim; Rapaccini, Mario; Saccani, Marco; Adrodegari, Federico, Hrsg.,

Proceedings of the Spring Servitization Conference 2021.

Spring Servitization Conference 2021 : A Pathway Towards A Resilient, Productive And Sustainable Future, virtual, 10-12 May 2021.

Birmingham:

Aston University.

S. 138-146.

Sedding, Helmut,

2021.

An FPTAS for scheduling with piecewise-linear nonmonotonic convex time-dependent processing times and job-specific agreeable slopes [Paper].

In:

Proceedings of the 17th International Workshop on Project Management and Scheduling.

17th International Workshop on Project Management and Scheduling, Toulouse, 21-23 April 2021.

EURO Working Group on Project Management and Scheduling.

Verfügbar unter: https://doi.org/10.21256/zhaw-22418

Heitz, Christoph,

2021.

Digitale Transformation : wie fair sind Algorithmen?.

In:

NGW-Vorträge Freitagabend, Winterthur (online), 12. März 2021.

Verfügbar unter: https://www.ngw.ch/vortraege-archiv/digitale-transformation-wie-fair-sind-algorithmen

Goren Huber, Lilach,

2021.

Implementing smart maintenance in industry : deep learning for wind turbine fault detection.

In:

Expert Group "Smart Maintenance" Meeting, online, 18 March 2021.

Hertweck, Corinna; Heitz, Christoph; Loi, Michele,

2021.

On the moral justification of statistical parity [Paper].

In:

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency.

FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency, Virtual Event, Canada, 3-10 March 2021.

New York:

Association for Computing Machinery.

S. 747-757.

Verfügbar unter: https://doi.org/10.1145/3442188.3445936

Herrmann, Thomas,

2021.

Schnell reagierende Planungsalgorithmen für die Kundenauftragsproduktion [Poster].

In:

6. F&E-Konferenz zu Industrie 4.0, Online, 3. Februar 2021.

Verfügbar unter: https://www.industrie2025.ch/fileadmin/industrie2025/5_Veranstaltungen/F_E-Konferenz_2021/Praesentationen_fuer_Download/05_Thomas_Herrmann.pdf

Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach,

2021.

Deep learning for fault detection : the path to predictive maintenance of wind turbines [Paper].

In:

Sammelband zu den 6. Energieforschungsgesprächen Disentis.

Energieforschungsgespräche Disentis 2021, online, 20.-22. Januar 2021.

Disentis:

Stiftung Alpines Energieforschungscenter AlpEnForCe.

S. 24-26.

Fahrner, Matthias; Kook, Lucas; Fröhlich, Klemens; Biniossek, Martin L.; Schilling, Oliver,

2021.

A systematic evaluation of semispecific peptide search parameter enables identification of previously undescribed N-terminal peptides and conserved proteolytic processing in cancer cell lines.

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

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

Schlögl, Sebastian; Bader, Nico; Anet, Julien Gérard; Frey, Martin; Spirig, Curdin; Renold, Manuel; Gutbrod, Karl,

2021.

Automated detection of urban heat islands based on satellite imagery, digital surface models, and a low-cost sensor network [Poster].

In:

EGU General Assembly 2021, Online, 19-30 April 2021.

European Geosciences Union.

Verfügbar unter: https://doi.org/10.5194/egusphere-egu21-14143

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

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

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

Goren Huber, Lilach; Pizza, Gianmarco,

2021.

Deep Learning und Predictive Maintenance : Anwendungsfall Windturbinen.

fmpro service.

2021(6), S. 6-8.

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

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

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

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.

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

West, Shaun; Meierhofer, Jürg; Ganz, Christopher, Hrsg.,

2021.

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.

Progress in IS.

ISBN 978-3-030-72089-6.

Verfügbar unter: https://doi.org/10.1007/978-3-030-72090-2

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.

Cross-turbine training of convolutional neural networks for SCADA-based fault detection in wind turbines [Paper].

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

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

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

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://arxiv.org/abs/1910.03472

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

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.

Verfügbar unter: https://www.advancedservicesgroup.co.uk/ssc2020-proceedings

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.

Verfügbar unter: https://www.advancedservicesgroup.co.uk/ssc2020-proceedings

Müller, Marianne,

2020.

Item fit statistics for Rasch analysis : can we trust them?.

Journal of Statistical Distributions and Applications.

7(5).

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