Publikationen | ZHAW Institut für Datenanalyse und Prozessdesign IDP

Detecting unusual or abnormal patterns in data is one of the common tasks of AI algorithms in commercial applications. In some applications, such as fraud detection, defect detection or medical diagnostics, anomaly detection is the main objective. In other applications, detecting abnormal data points is part of the data cleaning and preparation pipeline. In all cases, the use of AI-based methods relies on having a training dataset which can represent the normal behaviour, and must therefore be free of anomalies. Problems arise when we realize that having an anomaly-free training dataset is not always possible in practice: most real-world datasets are contaminated with unknown anomalies or mislabeled data..

Wulf, Jochen; Meierhofer, Jürg,

2024.

Exploring the potential of large language models for automation in technical customer service [Paper].

In:

Bigdeli, Ali Z.; Baines, Tim; Akkermans, Henk, Hrsg.,

Digital Service Innovation: Redefining Provider-Customer Interactions : Proceedings of the Spring Servitization Conference.

Spring Servitization Conference, Tilburg, The Netherlands, 13-14 May 2024.

The Advanced Services Group.

S. 146-157.

Verfügbar unter: https://doi.org/10.21256/zhaw-30660

Benedech, Rodolfo; Moorthy, Anand R.; Weisskopf, Simon; Meierhofer, Jürg; Rapaccini, Mario,

2024.

Unveiling the synergy : economic and environmental value of building management systems in the era of digital service innovation [Paper].

In:

Bigdeli, Ali Z.; Baines, Tim; Akkermans, Henk, Hrsg.,

Digital Service Innovation: Redefining Provider-Customer Interactions : Proceedings of the Spring Servitization Conference.

Spring Servitization Conference, Tilburg, The Netherlands, 13-14 Mai 2024.

The Advanced Services Group.

S. 181-192.

Verfügbar unter: https://doi.org/10.21256/zhaw-30883

Halman, Nir; Sedding, Helmut A.,

2024.

A faster FPTAS for makespan minimization with time-dependent agreeable V-shaped processing times [Paper].

In:

Proceedings of the 19th International Workshop on Project Management and Scheduling.

19th International Workshop on Project Management and Scheduling (PMS), Bern, Switzerland, 2-5 April 2024.

University of Bern.

Verfügbar unter: https://doi.org/10.21256/zhaw-30440

Scantamburlo, Teresa; Baumann, Joachim; Heitz, Christoph,

2024.

On prediction-modelers and decision-makers : why fairness requires more than a fair prediction model.

AI & Society.

Verfügbar unter: https://doi.org/10.1007/s00146-024-01886-3

Meierhofer, Jürg; Stucki, Melissa,

2024.

Ökologischer & wirtschaftlicher Nutzen mit industriellen Smart Services.

asut-Bulletin.

2024(01).

Verfügbar unter: https://asut.ch/asut/bulletin/view.xhtml?bulletinId=52&articleId=831

Wulf, Jochen; Meierhofer, Jürg,

2024.

Wie LLMs die Automatisierung im Kundendienst fördern.

ServiceToday.

38(Sonderausgabe 2024), S. 82-83.

Verfügbar unter: https://bc-production.pressmatrix.com/de/profiles/3df31a994fc2/editions/2ed85b567c8dfa546626/pages/page/42

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

2024.

A generic machine learning framework for fully-unsupervised anomaly detection with contaminated data.

International Journal of Prognostics and Health Management.

15(1).

Verfügbar unter: https://doi.org/10.36001/ijphm.2024.v15i1.3589

Stucki, Melissa; Meierhofer, Jürg; Gal, Barna; Gallina, Viola; Eisl, Stefanie,

2024.

Data driven value creation in industrial services including remanufacturing [Paper].

In:

5th International Conference on Industry 4.0 and Smart Manufacturing (ISM), Lisbon, Portugal, 22-24 November 2023.

Elsevier.

S. 2240-2248.

Verfügbar unter: https://doi.org/10.1016/j.procs.2024.02.043

Kugler, Petra; Vogt, Helen; Meierhofer, Jürg; Dobler, Martin; Strittmatter, Marc; Treiterer, Manuel; Schick, Sophia,

2024.

Daten im B2B-Ökosystem teilen und nutzen : wie KMU Voraussetzungen schaffen und Hürden überwinden

.

In:

Digitale Plattformen und Ökosysteme im B2B-Bereich.

Wiesbaden:

Springer.

S. 209-240.

Schwerpunkt Business Model Innovation.

Verfügbar unter: https://doi.org/10.1007/978-3-658-43130-3_8

Goren Huber, Lilach; Palmé, Jan Thomas; Arias Chao, Manuel,

2023.

Hybride Instandhaltung : wie fliesst das Fachwissen in die KI?.

fmpro service.

2023(6), S. 5-7.

Verfügbar unter: https://doi.org/10.21256/zhaw-29515

Tomic, Uros; Oberkalmsteiner, Jasmin; Lobsiger-Kägi, Evelyn; Sütterlin, Bernadette; Z'Rotz, Jana; Ohnmacht, Timo,

2023.

Unveiling sustainability-related lifestyles : a framework for lifestyle-based segmentation in sustainability research.

In:

7th European Conference on Behaviour and Energy Efficiency (BEHAVE), Maastricht, The Netherlands, 28-29 November 2023.

Wulf, Jochen; Meierhofer, Jürg,

2023.

Towards a taxonomy of Large Language Model based business model transformations.

arXiv.

Verfügbar unter: https://doi.org/10.48550/arXiv.2311.05288

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

2023.

Data Sharing Framework für KMU.

ResearchGate.

Verfügbar unter: https://www.researchgate.net/publication/376811588_Data_Sharing_Framework_fur_KMU

Bütikofer, Stephan; De Martinis, Valerio; Gomez, Claudio; Steiner, Albert; et al.,

2023.

Steigerung der ÖV-Attraktivität durch Optimierung der Anschlusse von Bus zu Bahn.

ETR – Eisenbahntechnische Rundschau.

2023(11), S. 74-77.

Meierhofer, Jürg; Heitz, Christoph,

2023.

On the value of data in industrial services : how to optimize value creation by reconfiguration of operant resources.

Journal of Creating Value.

9(2), S. 245-258.

Verfügbar unter: https://doi.org/10.1177/23949643231199002

Cieliebak, Mark; Drewek, Anna; Jakob Grob, Karin; Kruse, Otto; Mlynchyk, Katsiaryna; Rapp, Christian; Waller, Gregor,

2023.

Generative KI beim Verfassen von Bachelorarbeiten : Ergebnisse einer Studierendenbefragung im Juli 2023.

Winterthur:

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-2491

Steiner, Albert; Weingart, Joel Niklas; Huber, Marius; Scherrer, Maike,

2023.

The effect of coopetition on driving distance in logistics in urban areas [Poster].

In:

5th VREF Conference on Urban Freight, Gotenburg, Sweden, 18-20 October 2023.

Wulf, Jochen; Meierhofer, Jürg,

2023.

Large Language Models in Industrieunternehmen.

Technische Rundschau.

23(9), S. 48-50.

Verfügbar unter: https://doi.org/10.21256/zhaw-28949

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

2023.

Fully unsupervised fault detection in solar power plants using physics-informed deep learning [Paper].

In:

Brito, Mário P.; Aven, Terje; Baraldi, Piero; Čepin, Marko; Zio, Enrico, Hrsg.,

Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023).

33rd European Safety and Reliability Conference (ESREL), Southampton, United Kingdom, 3-7 September 2023.

Singapore:

Research Publishing.

S. 1737-1745.

Verfügbar unter: https://doi.org/10.3850/978-981-18-8071-1_P652-cd

Mildenberger, Thoralf,

2023.

Assessing keyness using permutation tests.

arXiv.

Verfügbar unter: https://doi.org/10.48550/arXiv.2308.13383

Baumann, Joachim; Castelnovo, Alessandro; Cosentini, Andrea; Crupi, Riccardo; Inverardi, Nicole; Regoli, Daniele,

2023.

Bias on demand : investigating bias with a synthetic data generator [Paper].

In:

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence.

32nd International Joint Conference on Artificial Intelligence (IJCAI), Macao, S.A.R, 19-25 August 2023.

International Joint Conferences on Artificial Intelligence Organization.

S. 7110-7114.

Verfügbar unter: https://doi.org/10.24963/ijcai.2023/828

Wulf, Jochen,

2023.

Gamification of children’s learning with ChatGPT : a prototype application and first application insights.

Medium.

Verfügbar unter: https://medium.com/@jocwulf/gamification-of-childrens-learning-with-chatgpt-a-prototype-application-and-first-application-51e5cb89c6c8

Wulf, Jochen; Meierhofer, Jürg,

2023.

Pioneering a new era of automated customer service with large language models (LLMs).

Medium.

Verfügbar unter: https://medium.com/@jocwulf/pioneering-a-new-era-of-automated-customer-service-with-large-language-models-llms-1cc4aacbeb03

Wulf, Jochen; Meierhofer, Jürg,

2023.

Unlocking the business potential of large language models : real-world applications and obstacles.

LinkedIn Pulse.

Verfügbar unter: https://www.linkedin.com/pulse/unlocking-business-potential-large-language-models-real-world-wulf/

Goren Huber, Lilach,

2023.

Deep learning for predictive maintenance : scalable implementation in operational setups.

In:

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

Verfügbar unter: https://sds2023.ch/deep-learning-for-predictive-maintenance

Baumann, Joachim; Loi, Michele,

2023.

Fairness and risk : an ethical argument for a group fairness definition insurers can use.

Philosophy & Technology.

36(45).

Verfügbar unter: https://doi.org/10.1007/s13347-023-00624-9

Baumann, Joachim; Castelnovo, Alessandro; Crupi, Riccardo; Inverardi, Nicole; Regoli, Daniele,

2023.

Bias on demand : a modelling framework that generates synthetic data with bias [Paper].

In:

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency.

6th ACM Conference on Fairness, Accountability, and Transparency (FAccT), Chicago, USA, 12-15 June 2023.

Association for Computing Machinery.

S. 1002-1013.

Verfügbar unter: https://doi.org/10.1145/3593013.3594058

Arpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver,

2023.

Short-term density forecasting of low-voltage load using bernstein-polynomial normalizing flows.

IEEE Transactions on Smart Grid.

14(6), S. 4902-4911.

Verfügbar unter: https://doi.org/10.1109/TSG.2023.3254890

Schweiger, Lukas; Barth, Linard,

2023.

Properties and characteristics of digital twins : review of industrial definitions.

SN Computer Science.

4(5), S. 436.

Verfügbar unter: https://doi.org/10.1007/s42979-023-01937-4

Sedding, Helmut; Seidel, Maxim,

2023.

Lot sizing and scheduling of injection molding machines with setup resources and demand uncertainty [Paper].

In:

IWDSP 2023 : The Fourth International Workshop on Dynamic Scheduling Problems, Winterthur, Switzerland, 5-6 June 2023.

Gawiejnowicz, Stanisław; ZHAW Zurich University of Applied Sciences; Adam Mickiewicz University Poznan, Hrsg.,

2023.

The 4th International Workshop on Dynamic Scheduling Problems : Extended Abstracts.

The 4th International Workshop on Dynamic Scheduling Problems (IWDSP), Winterthur, Switzerland, 5-6 June 2023.

Warsaw:

Polish Mathematical Society.

.

ISBN 978-83-962157-1-0.

Verfügbar unter: https://doi.org/10.14708/isbn.978-83-962157-1-0

Goren Huber, Lilach; Palmé, Thomas; Arias Chao, Manuel,

2023.

Physics-informed machine learning for predictive maintenance : applied use-cases [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. 66-72.

Verfügbar unter: https://doi.org/10.1109/SDS57534.2023.00016

Muratori, Corrado,

2023.

Planning and visual tools for an optimal linking of on-demand services & public transit [Paper].

In:

23rd Swiss Transport Research Conference (STRC), Ascona, Switzerland, 10-12 May 2023.

Lausanne:

Visual Intelligence for Transport, EPFL.

S. 24.

Verfügbar unter: https://www.strc.ch/2023/Muratori.pdf

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

2023.

Data driven decision support framework for industrial smart services design and operations [Poster].

In:

Bigdeli, Ali Z.; Kohtamäki, Marko; Rabetino, Rodrigo; Baines, Tim, Hrsg.,

The Role of Servitization in Grand Challenges.

Spring Servitization Conference (SSC), Helsinki, Finland, 8-9 May 2023.

Birmingham:

Aston University.

S. 220-221.

Weisskopf, Simon; Meierhofer, Jürg,

2023.

Industrial smart services for circular economy [Paper].

In:

Bigdeli, Ali Z.; Kohtamäki, Marko; Rabetino, Rodrigo; Baines, Tim, Hrsg.,

The Role of Servitization in Grand Challenges.

Spring Servitization Conference (SSC), Helsinki, Finland, 8-9 May 2023.

Birmingham:

Aston University.

S. 54-64.

De Martinis, Valerio; Huber, Marius; Herrmann, Thomas; Wüst, Reimond Matthias,

2023.

Diskriminierungsfreie Ansätze für die Tourenplanung des Lokpersonals.

ETR – Eisenbahntechnische Rundschau.

2023(4), S. 2-7.

Barth, Linard; Schweiger, Lukas; Galeno, Gianluca; Schaal, Nikolas; Ehrat, Matthias,

2023.

Value creation with digital twins : application-oriented conceptual framework and case study.

Applied Sciences.

13(6), S. 3511.

Verfügbar unter: https://doi.org/10.3390/app13063511

Bütikofer, Stephan; Wüst, Reimond Matthias,

2023.

Modelling approaches for travel chains of customers (in LinTim).

In:

Hot Topic Workshop: Integrated Planning in Public Transport, Münchweiler, Germany, 6-8 March 2023.

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.

52(2), S. 48-52.

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 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

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, Switzerland, 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.