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Journal of Scheduling.

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Mildenberger, Thoralf,

2023.

Assessing keyness using permutation tests.

arXiv.

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Wulf, Jochen,

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

Medium.

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Wulf, Jochen; Meierhofer, Jürg,

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

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Wulf, Jochen; Meierhofer, Jürg,

2023.

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

LinkedIn Pulse.

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Schweiger, Lukas; Barth, Linard,

2023.

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

SN Computer Science.

4(5), S. 436.

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Sedding, Helmut; Seidel, Maxim,

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

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

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

2023.

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

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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].

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

Birmingham:

Aston University.

S. 54-64.

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.

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Bütikofer, Stephan; Wüst, Reimond Matthias,

2023.

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

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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.

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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).

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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].

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Communications in Computer and Information Science ; 1722.

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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].

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

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

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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).

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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).

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

2023.

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

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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:

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Meierhofer, Jürg; Stucki, Melissa,

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

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S. 23-30.

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Meierhofer, Jürg; Stucki, Melissa,

2023.

Ökologischer & wirtschaftlicher Nutzen mit industriellen Smart Services.

Service Today.

2023(1), S. 71-72.

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

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

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2022.

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

Biometrical Journal.

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

2022.

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

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Meierhofer, Jürg; Stucki, Melissa,

2022.

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KunststoffXtra .

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

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

2022.

Physics informed deep learning for tracker fault detection in photovoltaic power plants [Paper].

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

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

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Bütikofer, Stephan; Wüst, Reimond Matthias,

2022.

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

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

2022.

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

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

2022.

Efficient timetable stability analysis using a graph contraction procedure.

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

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

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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,

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

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ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

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Goren Huber, Lilach; Notaristefano, Antonio,

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Predictive Maintenance mit Physics-Informed-Deep-Learning : Anwendungsfall Photovoltaikanlagen.

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Financial markets and the phase transition between water and steam.

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

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

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Exploring the potential for sustainable accessibility across settlement types : a Swedish case.

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