Publications
Researchers from 14 institutes and centres are working with industry and institutional partners to develop innovative, scientifically based solutions. This research work is documented in a number of scientific publications.
ZHAW digitalcollection
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Erni, Nicolas; Al-Ameen, Mohammed; Birchler, Christian; Derakhshanfar, Pouria; Lukasczyk, Stephan,
2024.
SBFT tool competition 2024 : Python test case generation track[paper].
In:
Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing.
17th International Workshop on Search-Based and Fuzz Testing (SBFT), Lisbon, Portugal, 14-20 April 2024.
Association for Computing Machinery.
pp. 37-40.
Available from: https://doi.org/10.21256/zhaw-30116
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Birchler, Christian; Rohrbach, Cyrill; Kehrer, Timo; Panichella, Sebastiano,
2024.
SensoDat : simulation-based sensor dataset of self-driving cars[paper].
In:
21st International Conference on Mining Software Repositories (MSR), Lisbon, Portugal, 15-16 April 2024.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-30117
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Venturini, Francesca; Fluri, Silvan; Mejari, Manas; Baumgartner, Michael; Piga, Dario; Michelucci, Umberto,
2024.
LWT - Food Science and Technology.
191(115679).
Available from: https://doi.org/10.21256/zhaw-29630
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Khatiri, Sajad; Panichella, Sebastiano; Tonella, Paolo,
2024.
Simulation-based testing of unmanned aerial vehicles with Aerialist[paper].
In:
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings.
46th IEEE/ACM International Conference on Software Engineering (ICSE), Lisbon, Portugal, 14-20 April 2024.
Association for Computing Machinery.
pp. 134-138.
Available from: https://doi.org/10.21256/zhaw-29678
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West, Shaun; Meierhofer, Jürg; Buecheler, Thierry, eds.,
2024.
5th Smart Services Summit, Zurich, Switzerland, 27 October 2023.
Cham:
Springer.
SMSESU. Progress in IS.
ISBN 9783031603129.
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Fathi, Kiavash; Stramaglia, Maria; Ristin, Marko; Sadurski, Marcin; Kleinert, Tobias; Schönfelder, Robert; van de Venn, Hans Wernher,
2024.
Sustainability in semiconductor production via interpretable and reliable predictions[paper].
In:
12th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM), Toronto, Canada, 14-17 July 2024.
Elsevier.
pp. 174-179.
Available from: https://doi.org/10.21256/zhaw-32336
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Cha, Seungeon; Loeser, Martin; Seo, Kyoungwon,
2024.
Applied Sciences.
14(9), pp. 3672.
Available from: https://doi.org/10.21256/zhaw-30682
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Templ, Matthias; Ulmer, Markus,
2024.
The impact of misclassifications and outliers on imputation methods.
Journal of Applied Statistics.
51(14), pp. 2894-2928.
Available from: https://doi.org/10.21256/zhaw-37128
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Genter, Jeremy; Croci, Eleonora; Oberreiter, Birgit; Eckers, Franziska; Bühler, Dominik; Gascho, Dominic; Müller, Andreas M.; Mündermann, Annegret; Baumgartner, Daniel,
2024.
Journal of Biomechanics.
166(112055).
Available from: https://doi.org/10.21256/zhaw-30356
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Scherrer, Maike; Doege, Patrick,
2024.
In:
31st European Operations Management Association (EurOMA), Sant Cugat, Spain, 29 June - 4 July 2024.
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Mingo Barba, Sergio; Lobo-Cerna, Fernando; Krawczyk, Przemek M.; Lattuada, Marco; Füchslin, Rudolf M.; Petri-Fink, Alke; Scheidegger, Stephan,
2024.
Dose-Response.
22(3).
Available from: https://doi.org/10.21256/zhaw-31468
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Meierhofer, Jürg; Pascher, Nikola; Wulf, Jochen,
2024.
The value of solving pains[paper].
In:
West, Shaun; Meierhofer, Jürg; Bücheler, Thierry; Wally Scurat, Giulia, eds.,
Smart Services Summit : Proceedings of the Sixth Conference, held in Zurich, Switzerland in October 2024.
Smart Services Summit, Zurich, Switzerland, 18 October 2024.
Cham:
Springer.
pp. 37-48.
Available from: https://doi.org/10.21256/zhaw-31940
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Mingo Barba, Sergio; Ademaj, Adela; Marder, Dietmar; Riesterer, Oliver; Lattuada, Marco; Füchslin, Rudolf Marcel; Petri-Fink, Alke; Scheidegger, Stephan,
2024.
International Journal of Hyperthermia.
41(1), pp. 2320852.
Available from: https://doi.org/10.21256/zhaw-30308
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Trammell, Ariane; Gehring, Benjamin; Isele, Marco; Spielmann, Yvo; Zahnd, Valentin,
2024.
Towards automated information security governance[paper].
In:
Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP.
10th International Conference on Information Systems Security and Privacy (ICISSP), Rome, Italy, 26-28 February 2024.
SciTePress.
pp. 120-127.
Available from: https://doi.org/10.21256/zhaw-30377
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Mosquera, David; Ruiz, Marcela; Pastor, Oscar; Spielberger, Jürgen,
2024.
Understanding the landscape of software modelling assistants for MDSE tools : a systematic mapping.
Information and Software Technology.
173(107492).
Available from: https://doi.org/10.21256/zhaw-30735
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Wlodarczyk, Jakub Karol; Schärer, Roman Pascal; Friedrich, Andreas; Schumacher, Jürgen,
2024.
Upscaling of reactive mass transport through porous electrodes in aqueous flow batteries.
Journal of the Electrochemical Society.
171(020544).
Available from: https://doi.org/10.21256/zhaw-29877
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Darvishy, Alireza; Anzolut, Stefano; Pierrès, Oriane; Schmitt-Koopmann, Felix,
2024.
User study : generative AI-based scientific writing assistant for students with visual impairments[paper].
In:
Zallio, Matteo, ed.,
Accessibility, Assistive Technology and Digital Environments.
15th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24-27 July 2024.
AHFE International.
pp. 73-81.
Available from: https://doi.org/10.21256/zhaw-30967
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Panichella, Sebastiano,
2024.
Vulnerabilities introduced by LLMs through code suggestions.
In:
Kucharavy, Andrei; Plancherel, Octave; Mulder, Valentin; Mermoud, Alain; Lenders, Vincent, eds.,
Large language models in cybersecurity : threats, exposure and mitigation.
Cham:
Springer.
pp. 87-97.
Available from: https://doi.org/10.21256/zhaw-30834
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Lee, Chae‐Won; Puc, Uros; Kim, Jongtaek; Jazbinsek, Mojca; Kwon, O‐Pil,
2023.
Advanced Optical Materials.
12(13), pp. 2302689.
Available from: https://doi.org/10.21256/zhaw-32528
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Segessenmann, Jan; Stadelmann, Thilo; Davison, Andrew; Dürr, Oliver,
2023.
Assessing deep learning : a work program for the humanities in the age of artificial intelligence.
AI and Ethics.
5(1), pp. 1-32.
Available from: https://doi.org/10.21256/zhaw-29422