Publications
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Liang, Shiqi; Stockinger, Kurt; de Farias, Tarcisio Mendes; Anisimova, Maria; Gil, Manuel,
2021.
Querying knowledge graphs in natural language.
Journal of Big Data.
8(3).
Available from: https://doi.org/10.1186/s40537-020-00383-w
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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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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.
,
pp.444-454.
Available from: https://doi.org/10.21256/zhaw-21644
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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
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Siriwardhana, Yushan; Gür, Gürkan; Ylianttila, Mika; Liyanage, Madhusanka,
2020.
The role of 5G for digital healthcare against COVID-19 pandemic : opportunities and challenges.
ICT Express.
Available from: https://doi.org/10.1016/j.icte.2020.10.002
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Deriu, Jan Milan; Tuggener, Don; von Däniken, Pius; Campos, Jon Ander; Rodrigo, Alvaro; Belkacem, Thiziri; Soroa, Aitor; Agirre, Eneko; Cieliebak, Mark,
2020.
In:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).
Conference on Empirical Methods in Natural Language Processing (EMNLP), Online, 16-20 November 2020.
Association for Computational Linguistics.
pp.3971-3984.
Available from: https://doi.org/10.18653/v1/2020.emnlp-main.326
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2020.
What happens next? : beyond security with liability in future networks.
In:
The 6th International Conference on Mobile, Secure and Programmable Networking (MSPN 2020), Paris (France), virtual, 28-29 October 2020.
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Taçyıldız, Yaşar Berkay; Ermiş, Orhan; Gür, Gürkan; Alagöz, Fatih,
2020.
Dynamic group key agreement for resource-constrained devices using blockchains [paper].
In:
Zhou, Jianying, ed.,
Applied Cryptography and Network Security Workshops.
18th International Conference on Applied Cryptography and Network Security, Rome, Italy, 19-22 October 2020.
Cham:
Springer.
pp.58-76.
Lecture Notes in Computer Science ; 12418.
Available from: https://doi.org/10.1007/978-3-030-61638-0_4
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Tuggener, Lukas; Satyawan, Yvan Putra; Pacha, Alexander; Schmidhuber, Jürgen; Stadelmann, Thilo,
2020.
The DeepScoresV2 dataset and benchmark for music object detection [paper].
In:
Proceedings of the 25th International Conference on Pattern Recognition 2020 (ICPR’20).
25th International Conference on Pattern Recognition 2020 (ICPR’20), Online, 10-15 January 2021.
IAPR.
Available from: https://doi.org/10.21256/zhaw-20647
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Di Sorbo, Andrea; Grano, Giovanni; Visaggio, Corrado Aaron; Panichella, Sebastiano,
2020.
Investigating the criticality of user‐reported issues through their relations with app rating.
Journal of Software: Evolution and Process.
Available from: https://doi.org/10.1002/smr.2316
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Panichella, Sebastiano; Zaugg, Nik,
2020.
An empirical investigation of relevant changes and automation needs in modern code review.
Empirical Software Engineering.
25(6),
pp.4833-4872.
Available from: https://doi.org/10.1007/s10664-020-09870-3
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Glüge, Stefan; Amirian, Mohammadreza; Flumini, Dandolo; Stadelmann, Thilo,
2020.
How (not) to measure bias in face recognition networks [paper].
In:
Schilling, Frank-Peter; Stadelmann, Thilo, eds.,
Artificial Neural Networks in Pattern Recognition.
9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020.
Cham:
Springer.
Lecture Notes in Computer Science ; 12294.
Available from: https://doi.org/10.1007/978-3-030-58309-5_10
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Schilling, Frank-Peter; Stadelmann, Thilo, eds.,
2020.
9th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR'20), Winterthur, Switzerland, 2-4 September 2020.
Springer.
Lecture Notes in Computer Science ; 12294.
ISBN 978-3-030-58308-8.
Available from: https://doi.org/10.1007/978-3-030-58309-5
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Pidel, Catlin; Ackermann, Philipp,
2020.
Collaboration in virtual and augmented reality : a systematic overview [paper].
In:
De Paolis, Lucio Tommaso; Bourdot, Patrick, eds.,
Augmented Reality, Virtual Reality, and Computer Graphics.
7th International Conference on Augmented Reality, Virtual Reality and Computer Graphics (AVR), Virtual Conference, 7-10 September 2020.
Springer.
pp.141-156.
Lecture Notes in Computer Science ; 12242.
Available from: https://doi.org/10.1007/978-3-030-58465-8_10
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Gaber, Chrystel; Vilchez, Jose Sanchez; Gür, Gürkan; Chopin, Morgan; Perrot, Nancy; Grimault, Jean-Luc; Wary, Jean-Philippe,
2020.
Liability-aware security management for 5G [paper].
In:
2020 IEEE 3rd 5G World Forum (5GWF).
3rd 5G World Forum (5GWF), Online, 10 September - 2 November 2020.
IEEE.
pp.133-138.
Available from: https://doi.org/10.1109/5GWF49715.2020.9221407
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Roost, Dano; Meier, Ralph; Toffetti Carughi, Giovanni; Stadelmann, Thilo,
2020.
Combining reinforcement learning with supervised deep learning for neural active scene understanding [paper].
In:
Active Vision and Perception in Human(-Robot) Collaboration Workshop at IEEE RO-MAN 2020 (AVHRC’20), online, 31 August - 4 September 2020.
University of Essex.
Available from: https://doi.org/10.21256/zhaw-20419
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Siriwardhana, Yushan; De Alwis, Chamitha; Gür, Gürkan; Ylianttila, Mika; Liyanage, Madhusanka,
2020.
The fight against the COVID-19 pandemic with 5G technologies.
IEEE Engineering Management Review.
48(3),
pp.72-84.
Available from: https://doi.org/10.1109/EMR.2020.3017451
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Perdikis, Serafeim; Leeb, Robert; Chavarriaga, Ricardo; Millán, José del R.,
2020.
Context-aware learning for generative models.
IEEE Transactions on Neural Networks and Learning Systems.
Available from: https://doi.org/10.1109/TNNLS.2020.3011671