Mildenberger, Thoralf; Braschler, Martin; Ruckstuhl, Andreas; Vorburger, Robert; Stockinger, Kurt,

2023.

The role of data scientists in modern enterprises : experience from data science education.

SIGMOD Record.

Verfügbar unter: https://doi.org/10.21256/zhaw-27357

Schmid, N.; Bruderer, S.; Paruzzo, F.; Fischetti, G.; Toscano, G.; Graf, D.; Fey, M.; Henrici, A.; Ziebart, V.; Heitmann, B.; Grabner, H.; Wegner, J.D.; Sigel, R.K.O.; Wilhelm, D.,

2023.

Deconvolution of 1D NMR spectra : a deep learning-based approach.

Journal of Magnetic Resonance.

347(107357).

Verfügbar unter: https://doi.org/10.1016/j.jmr.2022.107357

Füchslin, Rudolf Marcel; Ambühl, Jacques; Faggian, Alessia; Fellermann, Harold M.; Flumini, Dandolo; Geller, Armando; Hanczyc, Martin M.; Klinkert, Andreas; Krütli, Pius; Matuttis, Hans-Georg; Ott, Thomas; Scheidegger, Stephan; Schmid, Gary Bruno; Smieszek, Timo; Schneider, Johannes J.; Steiner, Albert; Weyland, Mathias S.,

2023.

Ethical aspects of computational modelling in science, decision support and communication [Paper].

In:

Artificial Life and Evolutionary Computation.

XV International Workshop on Artificial Life and Evolutionary Computation (WIVACE), Winterthur, Switzerland, 15-17 September 2021.

Cham:

Springer.

Communications in Computer and Information Science ; 1722.

Verfügbar unter: https://doi.org/10.1007/978-3-031-23929-8_24

Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Ziebart, Volker; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K.O.; Heitmann, Björn; Wilhelm, Dirk,

2023.

Deconvolution of NMR spectra : a deep learning-based approach [Poster].

In:

Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-27429

Monstein, Raphael; Figuet, Benoit; Krauth, Timothé; Waltert, Manuel; Dettling, Marcel,

2022.

Large landing trajectory dataset for go-around analysis [Paper].

In:

10th OpenSky Symposium, Delft, The Netherlands, 10-11 November 2022.

MDPI.

S. 2.

Verfügbar unter: https://doi.org/10.3390/engproc2022028002

Herzog, Lisa; Kook, Lucas; Götschi, Andrea; Petermann, Katrin; Hänsel, Martin; Hamann, Janne; Dürr, Oliver; Wegener, Susanne; Sick, Beate,

2022.

Deep transformation models for functional outcome prediction after acute ischemic stroke.

Biometrical Journal.

Verfügbar unter: https://doi.org/10.1002/bimj.202100379

Scherrer, Maike; Steiner, Albert; Rühlin, Viola,

2022.

Greening urban logistics : introducing a method to evaluate optimised decoupling hub locations [Paper].

In:

9th Transport Research Arena (TRA), Lisbon, Portugal, 14-17 November 2022.

Meierhofer, Jürg; Stucki, Melissa,

2022.

Mit Smart Services zu mehr Nachhaltigkeit.

KunststoffXtra .

2022(11-12), S. 54-56.

Verfügbar unter: https://doi.org/10.21256/zhaw-26269

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

Braune, Stefan; Drewek, Anna; Bergmann, Arnfin; Keenan, Alex; Gandhi, Kavita; Schuler, Maximilian; van Denderen, Jacqueline; Ait-Tihyaty, Maria; H Le, Hoa,

2022.

Assessing the impact of persistency for disease-modifying therapies in a German registry for multiple sclerosis [Poster].

In:

38th Congress of the European Committee for Treatment and Research in Multiple Sclerosis, Amsterdam, The Netherlands, 26-28 October 2022.

Braune, Stefan; Drewek, Anna; Bergmann, Arnfin; Schuler, Maximilian; Ait-Tihyaty, Maria; H Le, Hoa; Keenan, Alex; Gandhi, Kavita; van Denderen, Jacqueline,

2022.

Is there an impact of early initiation of disease-modifying therapies in patients with relapsing-remitting multiple sclerosis in the German registry? [Poster].

In:

38th Congress of the European Committee for Treatment and Research in Multiple Sclerosis, Amsterdam, The Netherlands, 26-28 Oktober 2022.

Bütikofer, Stephan; Fontana, Dominik; Steiner, Albert; Wüst, Raimond,

2022.

Efficient timetable stability analysis using a graph contraction procedure [Paper].

In:

Fifth International Conference on Railway Technology: Research, Development and Maintenance, Montpellier, France, 22-25 August 2022.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-27165

De Martinis, Valerio,

2022.

Enhancing the calibration of train resistance parameters with power measurements [Paper].

In:

Fifth International Conference on Railway Technology: Research, Development and Maintenance, Montpellier, France, 22-25 August 2022.

Schmid, Nicolas; Bruderer, Simon; Fischetti, Giulia; Paruzzo, Federico; Toscano, Giuseppe; Graf, Dominik; Fey, Michael; Henrici, Andreas; Grabner, Helmut; Wegner, Jan Dirk; Sigel, Roland K. O.; Heitmann, Björn; Wilhelm, Dirk,

2022.

Deconvolution of NMR spectra : a deep learning-based approach [Poster].

In:

Prisner, Thomas, Hrsg.,

EUROMAR 2022 Abstractbook.

European Conference on Magnetic Resonance (EUROMAR), Utrecht, The Netherlands, 10-14 July 2022.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

S. 242.

Verfügbar unter: https://doi.org/10.21256/zhaw-27336

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

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

Templ, Matthias; Sariyar, Murat,

2022.

A systematic overview on methods to protect sensitive data provided for various analyses.

International Journal of Information Security.

21(6), S. 1233-1246.

Verfügbar unter: https://doi.org/10.1007/s10207-022-00607-5

Wang, Pengling; Jeiziner, Annik; Luan, Xiaojie; De Martinis, Valerio; Corman, Francesco,

2022.

An experimental analysis of hierarchical rail traffic and train control in a stochastic environment.

Journal of Advanced Transportation.

2022(8674538).

Verfügbar unter: https://doi.org/10.1155/2022/8674538

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

Scherrer, Maike; Steiner, Albert; Rühlin, Viola,

2022.

Decoupling hubs for sustainable urban logistics : introducing a method to define optimal locations [Paper].

In:

6th World Conference on Production and Operations Management (P&OM), online, 23-25 August 2022.

Kook, Lucas; Herzog, Lisa; Hothorn, Torsten; Dürr, Oliver; Sick, Beate,

2022.

Deep and interpretable regression models for ordinal outcomes.

Pattern Recognition.

122(108263).

Verfügbar unter: https://doi.org/10.1016/j.patcog.2021.108263

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:

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:

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).

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:

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

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

2022.

Let the fast passengers wait : boarding an airplane takes shorter time when passengers with the most bin luggage enter first.

European Journal of Operational Research.

Verfügbar unter: https://doi.org/10.1016/j.ejor.2022.12.027

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), 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.

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.

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/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.

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).

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/10.21256/zhaw-20433

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