Publikationen | ZHAW Institut für Datenanalyse und Prozessdesign IDP

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.

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