Publikationen | ZHAW Institut für Datenanalyse und Prozessdesign IDP

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 Italian 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

Bürgin, Reto; Muratori, Corrado; Roca-Riu, Mireia; Heitz, Christoph,

2023.

A space-time model for demand in free-floating carsharing systems.

Journal of Advanced Transportation.

2023(6610624).

Verfügbar unter: https://doi.org/10.1155/2023/6610624

Wulf, Jochen; Brenner, Walter,

2023.

Bereit für den digitalen Endkunden? : ein Fähigkeitsmodell

.

In:

Gassmann, Oliver; Sutter, Philipp, Hrsg.,

Digitale Transformation gestalten.

Hanser.

S. 207-222.

Verfügbar unter: https://doi.org/10.3139/9783446468887.012

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

2023.

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

In:

Transportation Research Procedia.

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

Elsevier.

S. 572-579.

Verfügbar unter: https://doi.org/10.1016/j.trpro.2023.11.441

Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; Pyatigorskaya, Asya; Schiffer, Penny; Grabner, Helmut,

2023.

Making it into a successful series a funding : an analysis of Crunchbase and LinkedIn data.

The Journal of Finance and Data Science.

9(100099).

Verfügbar unter: https://doi.org/10.1016/j.jfds.2023.100099

Renold, Manuel; Vollenweider, Janik; Mijović, Nemanja; Kuljanin, Jovana; Kalić, Milica,

2023.

Methodological framework for a deeper understanding of airline profit cycles in the context of disruptive exogenous impacts.

Journal of Air Transport Management.

106(102305).

Verfügbar unter: https://doi.org/10.1016/j.jairtraman.2022.102305

Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; Grabner, Helmut,

2023.

Mitigating discriminatory biases in success prediction models for venture capitals [Paper].

In:

2023 10th IEEE Swiss Conference on Data Science (SDS).

10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023.

IEEE.

S. 26-33.

Verfügbar unter: https://doi.org/10.1109/SDS57534.2023.00011

Meierhofer, Jürg; West, Shaun; Buecheler, Thierry, Hrsg.,

2023.

Smart Services Summit : smart services creating sustainability.

Fifth Smart Services Summit, Zurich, Switzerland, 21 October 2022.

Cham:

Springer.

Progress in IS.

ISBN 978-3-031-36697-0.

Verfügbar unter: https://doi.org/10.1007/978-3-031-36698-7

Meierhofer, Jürg; Stucki, Melissa,

2023.

Sustainable value optimization by smart services along the customer lifecycle [Paper].

In:

Meierhofer, Jürg; West, Shaun; Buecheler, Thierry, Hrsg.,

Smart Services Summit : smart services creating sustainability.

Fifth Smart Services Summit, Zurich, Switzerland, 21 October 2022.

Cham:

Springer.

S. 23-30.

Progress in IS.

Verfügbar unter: https://doi.org/10.1007/978-3-031-36698-7_3

Meierhofer, Jürg; Stucki, Melissa,

2023.

Ökologischer & wirtschaftlicher Nutzen mit industriellen Smart Services.

ServiceToday.

37(1), S. 71-72.

Verfügbar unter: https://doi.org/10.21256/zhaw-27574

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.

317(3), S. 748-761.

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

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.

65(6), S. 2100379.

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

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

Goren Huber, Lilach,

2022.

Scalable deployment of deep learning algorithms for predictive maintenance in commercial machine fleets : bridging the research-industry gap.

In:

14th Annual Conference of the PHM Society, Nashville, USA, 1-4 November 2022.

Verfügbar unter: https://phm2022.phmsociety.org/north-america/tutorials/

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; Wüst, Reimond Matthias,

2022.

Erweiterungsmassnahmen für LinTim-Einsätze in «Multi-Linetype»-Umgebungen.

In:

Workshop der DFG-Forschungsgruppe 2083, Industrietag LinTim, Karlsruhe, Deutschland, 22. September 2022.

Bütikofer, Stephan; Wüst, Reimond Matthias; Zumkehr, Maria,

2022.

Automatic generation of a service intention in public transport with integrated travel chains.

In:

Annual conference of the Operations Research Society of Germany (GOR e.V.) (OR2022), Karlsruhe, Germany, 6-9 September 2022.

Verfügbar unter: https://www.or2022.de/

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

Bütikofer, Stephan; Wüst, Reimond Matthias; Steiner, Albert; Fontana, Dominik,

2022.

Efficient timetable stability analysis using a graph contraction procedure.

In:

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

De Martinis, Valerio,

2022.

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

In:

Pombo, J., Hrsg.,

Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance.

Fifth International Conference on Railway Technology, Montpellier, France, 22-25 August 2022.

Civil-Comp Press.

Civil-Comp Conferences ; 1.

Verfügbar unter: https://doi.org/10.4203/ccc.1.31.20

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

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

2022.

People are not coins : morally distinct types of predictions necessitate different fairness constraints [Paper].

In:

Faact '22: 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. 2293-2301.

Verfügbar unter: https://doi.org/10.1145/3531146.3534643

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

Gioia, Stefano; Bütikofer, Stephan; Wüst, Reimond Matthias,

2022.

Generating timetables for a multi-linetype public transport offer based on a service intention including travel chains of customers [Paper].

In:

22nd Swiss Transport Research Conference (STRC), Ascona, Switzerland, 18-20 May 2022.

Institute for Transport Planning and Systems, ETH Zurich.

S. 18.

Verfügbar unter: https://www.strc.ch/2022/Gioia_EtAl.pdf

Fröhlich, Klemens; Brombacher, Eva; Fahrner, Matthias; Vogele, Daniel; Kook, Lucas; Pinter, Niko; Bronsert, Peter; Timme-Bronsert, Sylvia; Schmidt, Alexander; Bärenfaller, Katja; Kreutz, Clemens; Schilling, Oliver,

2022.

Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity.

Nature Communications.

13(1), S. 2622.

Verfügbar unter: https://doi.org/10.1038/s41467-022-30094-0

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.

Verfügbar unter: https://doi.org/10.21256/zhaw-25047

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

Hertweck, Corinna; Räz, Tim,

2022.

Gradual (in)compatibility of fairness criteria [Paper].

In:

Proceedings of the 36th AAAI Conference on Artificial Intelligence : Vol. 36 No. 11: IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations.

36th AAAI Conference on Artificial Intelligence, online, 22 February–1 March 2022.

Palo Alto, CA:

Association for the Advancement of Artificial Intelligence.

S. 11926-11934.

Verfügbar unter: https://doi.org/10.1609/aaai.v36i11.21450

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

Bütikofer, Stephan; Wüst, Reimond Matthias; Zumkehr, Maria,

2022.

A service intention in public transport with integrated travel chains : generation and benefits.

In:

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

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,