Schweiger, Lukas; Benedech, Rodolfo Andres; Meierhofer, Jürg,

2022.

Development approach for value-creating service process twins based on service design methods [Paper].

In:

IEEE DASC/PiCom/CBDCom/CyberSciTech 2022 Proceedings.

2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Falerna, Italy, 12-15 September 2022.

IEEE.

Verfügbar unter: https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9928003

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

Kook, Lucas; Sick, Beate; Bühlmann, Peter,

2022.

Distributional anchor regression.

Statistics and Computing.

32(3), S. 39.

Verfügbar unter: https://doi.org/10.1007/s11222-022-10097-z

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

2022.

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

In:

Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency.

5th ACM Conference on Fairness, Accountability, and Transparency (FAccT), Seoul, Republic of Korea, 21-24 June 2022.

New York:

Association for Computing Machinery.

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).

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

Loi, Michele; Heitz, Christoph,

2022.

Is calibration a fairness requirement? : an argument from the point of view of moral philosophy and decision theory [Paper].

In:

Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency.

5th ACM Conference on Fairness, Accountability, and Transparency (FAccT), Seoul, Republic of Korea, 21-24 June 2022.

Association for Computing Machinery.

S. 2026-2034.

Verfügbar unter: https://doi.org/10.1145/3531146.3533245

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 : Stand, Entwicklungslinien und Praxisbeispiele.

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.

Verfügbar unter: https://doi.org/10.1109/ICE/ITMC-IAMOT55089.2022.10033266

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), Lucerne, Switzerland, 22-23 June 2022.

IEEE.

S. 33-39.

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

Templ, Matthias; Kanjala, Chifundo; Siems, Inken,

2022.

Privacy of study participants in open-access health and demographic surveillance system data : requirements analysis for data anonymization.

JMIR Public Health and Surveillance.

8(9), S. e34472.

Verfügbar unter: https://doi.org/10.2196/34472

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

2022.

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

In:

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

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

IEEE.

S. 40-46.

Verfügbar unter: https://doi.org/10.1109/SDS54800.2022.00014

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

De Meer Pardo, Fernando; Schwendner, Peter; Wunsch, Marcus,

2022.

Tackling the exponential scaling of signature-based generative adversarial networks for high-dimensional financial time-series generation.

The Journal of Financial Data Science.

4(4), S. 110-132.

Verfügbar unter: https://doi.org/10.3905/jfds.2022.1.109

Herterich, Matthias M.; Dremel, Christian; Wulf, Jochen; vom Brocke, Jan,

2022.

The emergence of smart service ecosystems : the role of socio‐technical antecedents and affordances.

Information Systems Journal.

33(3), S. 524-566.

Verfügbar unter: https://doi.org/10.1111/isj.12412

Koller, Thomas; Grabner, Helmut,

2022.

Who wants to be a click-millionaire? : on the influence of thumbnails and captions [Paper].

In:

2022 26th International Conference on Pattern Recognition (ICPR).

26th International Conference on Pattern Recognition (ICPR), Montréal, Canada, 21-25 August 2022.

IEEE.

S. 629-635.

Verfügbar unter: https://doi.org/10.1109/ICPR56361.2022.9956202

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.

ServiceToday.

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/10.21256/zhaw-22774

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.

ServiceToday.

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.

4th ACM Conference on Fairness, Accountability, and Transparency (FAccT), online, 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.

Sick, Beate; Hathorn, Torsten; Durr, Oliver,

2021.

Deep transformation models : tackling complex regression problems with neural network based transformation models [Paper].

In:

2020 25th International Conference on Pattern Recognition (ICPR).

25th International Conference on Pattern Recognition (ICPR), virtual, 10-15 January 2021.

IEEE.

S. 2476-2481.

Verfügbar unter: https://doi.org/10.1109/ICPR48806.2021.9413177

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.

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

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

Kuljanin, Jovana; Kalić, Milica; Begović, Boris; Mijović, Nemanja; Renold, Manuel,

2021.

The effect of LCC market entry on dominant FSC's price into long haul sector : a case of Norwegian competition on British Airways' prices on selected transatlantic routes.

Journal of Air Transport Management.

91(102016).

Verfügbar unter: https://doi.org/10.1016/j.jairtraman.2020.102016

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.

34(4), S. 78-79.

Verfügbar unter: https://doi.org/10.21256/zhaw-20827

Herzog, Lisa; Murina, Elvis; Dürr, Oliver; Wegener, Susanne; Sick, Beate,

2020.

Integrating uncertainty in deep neural networks for MRI based stroke analysis.

Medical Image Analysis.

65(101790).

Verfügbar unter: https://doi.org/10.1016/j.media.2020.101790

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://doi.org/10.48550/arXiv.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.

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

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

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

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

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

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.

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

Hübsch, Christine; Müller, Marianne; Spirig, Rebecca; Kleinknecht‐Dolf, Michael,

2020.

Performed and missed nursing care in Swiss acute care hospitals : conceptual considerations and psychometric evaluation of the German MISSCARE questionnaire.

Journal of Nursing Management.

Verfügbar unter: https://doi.org/10.1111/jonm.13026

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/

Templ, Matthias; Heitz, Christoph,

2020.

Fleet management in free-floating bike sharing systems using predictive modelling and explorative tools.

Austrian Journal of Statistics.

49(2), S. 53-69.

Verfügbar unter: https://doi.org/10.17713/ajs.v49i2.1114

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

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

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

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

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.

Comparative effectiveness of antitumour necrosis factor agents, biologics with an alternative mode of action and tofacitinib in an observational cohort of patients with rheumatoid arthritis in Switzerland.

RMD Open.

6, S. e001174.

Verfügbar unter: https://doi.org/10.1136/rmdopen-2020-001174

Meierhofer, Jürg,

2020.

Data Science und Services

.

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

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