Publications
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Darvishy, Alireza; Roth, Stephan; Hutter, Hans-Peter,
2021.
Sprachassistent für Hotelinformationen [paper].
In:
Kempter, Guido; Ritter, Walter, eds.,
Grenzüberschreitende Reallabore für Assistenztechnik : Beiträge zum Usability Day XIX.
uDay XIX : Grenzüberschreitende Reallabore für Assistenztechnik, Hard am Bodensee, 24. Juni 2021.
Lengerich:
Pabst Science Publishers.
pp. 102-108.
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Chavarriaga, Ricardo; Carey, Carole; Contreras-Vidal, Jose Luis; McKinney, Zach; Bianchi, Luigi,
2021.
IEEE Open Journal of Engineering in Medicine and Biology.
2, pp. 71-73.
Available from: https://doi.org/10.1109/OJEMB.2021.3061328
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Panichella, Sebastiano; Rahman, Mohammad; Taibi, Davide,
2021.
Structural coupling for microservices [paper].
In:
Proceedings of the 11th International Conference on Cloud Computing and Services Science.
11th International Conference on Cloud Computing and Services Science (CLOSER), online, 28-30 April 2021.
SciTePress.
pp. 280-287.
Available from: https://doi.org/10.5220/0010481902800287
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Taranova, Anastasia; Braschler, Martin,
2021.
Textual complexity as an indicator of document relevance [paper].
In:
Advances in Information Retrieval.
43rd European Conference on Information Retrieval, Lucca (online), 28 March - 1 April 2021.
Cham:
Springer.
pp. 410-417.
Lecture Notes in Computer Science ; 12657.
Available from: https://doi.org/10.1007/978-3-030-72240-1_42
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Tuggener, Lukas; Satyawan, Yvan Putra; Pacha, Alexander; Schmidhuber, Jürgen; Stadelmann, Thilo,
2021.
The DeepScoresV2 dataset and benchmark for music object detection [paper].
In:
2020 25th International Conference on Pattern Recognition (ICPR).
25th International Conference on Pattern Recognition 2020 (ICPR’20), Online, 10-15 January 2021.
IEEE.
pp. 9188-9195.
Available from: https://doi.org/10.1109/ICPR48806.2021.9412290
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Zampetti, Fiorella; Mudbhari, Saghan; Arnaoudova, Venera; Di Penta, Massimiliano; Panichella, Sebastiano; Antoniol, Giuliano,
2021.
Using code reviews to automatically configure static analysis tools.
Empirical Software Engineering.
27(1), pp. 28.
Available from: https://doi.org/10.1007/s10664-021-10076-4
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Rani, Pooja; Panichella, Sebastiano; Leuenberger, Manuel; Ghafari, Mohammad; Nierstrasz, Oscar,
2021.
Empirical Software Engineering.
26(6), pp. 112.
Available from: https://doi.org/10.1007/s10664-021-09981-5
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Rani, Pooja; Birrer, Mathias; Panichella, Sebastiano; Ghafari, Mohammad; Nierstrasz, Oscar,
2021.
What do developers discuss about code comments? [paper].
In:
21st IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM), online, 27-28 September 2021.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-23362
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Panichella, Sebastiano; Canfora, Gerardo; Di Sorbo, Andrea,
2021.
Information and Software Technology.
139(106665).
Available from: https://doi.org/10.1016/j.infsof.2021.106665
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Spillner, Josef; Gkikopoulos, Panagiotis; Buzachis, Alina; Villari, Massimo,
2020.
In:
2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC).
CIFS @ IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), Leicester, UK (online), 7-10 December 2020.
IEEE.
pp. 336-341.
Available from: https://doi.org/10.1109/UCC48980.2020.00053
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Díaz, Eduardo; Panach, José Ignacio; Rueda, Silvia; Ruiz, Marcela; Pastor, Oscar,
2020.
Are requirements elicitation sessions influenced by participants' gender? : an empirical experiment.
Science of Computer Programming.
204(102595).
Available from: https://doi.org/10.1016/j.scico.2020.102595
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Benites de Azevedo e Souza, Fernando; Hürlimann, Manuela; von Däniken, Pius; Cieliebak, Mark,
2020.
ZHAW-InIT : social media geolocation at VarDial 2020 [paper].
In:
Zampieri, Marcos; Nakov, Preslav; Ljubešić, Nikola; Tiedemann, Jörg; Scherrer, Yves, eds.,
Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects.
Workshop on NLP for Similar Languages, Varieties and Dialects, Barcelona (Spain), online, 13 December 2020.
International Committee on Computational Linguistics (ICCL).
pp. 254-264.
Available from: https://doi.org/10.21256/zhaw-21551
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Gkikopoulos, Panagiotis; Mateos, Cristian; Spillner, Josef; Teyseyre, Alfredo,
2020.
Given 2n eyeballs, all quality flaws are shallow [paper].
In:
Middleware '20 Demos and Posters.
21st International Middleware Conference, Delft, Netherlands (online), 7-11 December 2020.
Association for Computing Machinery.
pp. 3-4.
Available from: https://doi.org/10.1145/3429358.3429371
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2020.
In:
Middleware '20 Demos and Posters.
21st International Middleware Conference, Delft, Netherlands (online), 7-11 December 2020.
Association for Computing Machinery.
pp. 1-2.
Available from: https://doi.org/10.1145/3429358.3429370
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2020.
Resource management for cloud functions with memory tracing, profiling and autotuning [paper].
In:
Proceedings of the 2020 Sixth International Workshop on Serverless Computing.
21th International Middleware Conference, Delft, Netherlands (online), 7-11 December 2020.
Association for Computing Machinery.
pp. 13-18.
Available from: https://doi.org/10.1145/3429880.3430094
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Spillner, Josef; López, Manuel Ramírez,
2020.
Transactional migration of inhomogeneous composite cloud applications [paper].
In:
Advances in Service-Oriented and Cloud Computing.
7th European Conference on Service Oriented and Cloud Computing (ESOCC), Como, Italy, 12-14 September 2018.
Cham:
Springer.
pp. 34-45.
Communications in Computer and Information Science ; 1115.
Available from: https://doi.org/10.1007/978-3-030-63161-1_3
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Gür, Gürkan; Porambage, Pawani; Liyanage, Madhusanka,
2020.
Convergence of ICN and MEC for 5G : opportunities and challenges.
IEEE Communications Standards Magazine.
4(4), pp. 64-71.
Available from: https://doi.org/10.1109/MCOMSTD.011.1900045
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2020.
Expansive networks : exploiting spectrum sharing for capacity boost and 6G vision.
Journal of Communications and Networks.
22(6), pp. 444-454.
Available from: https://doi.org/10.23919/JCN.2020.000037
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Stadelmann, Thilo; Würsch, Christoph,
2020.
Maps for an uncertain future : teaching AI and machine learning using the ATLAS concept.
Winterthur:
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-20885
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Tuggener, Lukas; Amirian, Mohammadreza; Benites de Azevedo e Souza, Fernando; von Däniken, Pius; Gupta, Prakhar; Schilling, Frank-Peter; Stadelmann, Thilo,
2020.
Design patterns for resource-constrained automated deep-learning methods.
AI.
1(4), pp. 510-538.
Available from: https://doi.org/10.3390/ai1040031