Panichella, Sebastiano; Zaugg, Nik,

2020.

An empirical investigation of relevant changes and automation needs in modern code review.

Empirical Software Engineering.

Available from: https://doi.org/10.21256/zhaw-20483

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/10.21256/zhaw-20277

Schilling, Frank-Peter; Stadelmann, Thilo, eds.,

2020.

Artificial neural networks in pattern recognition : proceedings of the 9th IAPR TC3 workshop, ANNPR 2020, Winterthur, Switzerland, September 2–4, 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

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/10.21256/zhaw-20485

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.

Available from: https://doi.org/10.21256/zhaw-20419

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

Jampen, Daniel; Gür, Gürkan; Sutter, Thomas; Tellenbach, Bernhard,

2020.

Don’t click : towards an effective anti-phishing training. A comparative literature review.

Human-centric Computing and Information Sciences.

10(33).

Available from: https://doi.org/10.21256/zhaw-20346

Sima, Ana-Claudia; Dessimoz, Christophe; Stockinger, Kurt; Zahn-Zabal, Monique; Mendes de Farias, Tarcisio,

2020.

A hands-on introduction to querying evolutionary relationships across multiple data sources using SPARQL.

F1000Research.

8,

pp. 1822.

Available from: https://doi.org/10.21256/zhaw-20358

Lehmann, Claude; Goren Huber, Lilach; Horisberger, Thomas; Scheiba, Georg; Sima, Ana-Claudia; Stockinger, Kurt,

2020.

Big data architecture for intelligent maintenance : a focus on query processing and machine learning algorithms.

Journal of Big Data.

7(1).

Available from: https://doi.org/10.21256/zhaw-20359

Amirian, Mohammadreza; Tuggener, Lukas; Chavarriaga, Ricardo; Satyawan, Yvan Putra; Schilling, Frank-Peter; Schwenker, Friedhelm; Stadelmann, Thilo,

2020.

Two to trust : AutoML for safe modelling and interpretable deep learning for robustness [paper].

In:

Proceedings of the 1st TAILOR Workshop on Trustworthy AI at ECAI 2020.

1st TAILOR Workshop on Trustworthy AI at ECAI 2020, Santiago de Compostela, Spain, 29-30 August 2020.

Springer.

Available from: https://doi.org/10.21256/zhaw-20217

Deriu, Jan Milan; Mlynchyk, Katsiaryna; Schläpfer, Philippe; Rodrigo, Alvaro; von Grünigen, Dirk; Kaiser, Nicolas; Stockinger, Kurt; Agirre, Eneko; Cieliebak, Mark,

2020.

A methodology for creating question answering corpora using inverse data annotation [paper].

In:

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

ACL 2020, Virtual, 5-10 July 2020.

pp. 897-911.

Available from: https://doi.org/10.21256/zhaw-20319

Roost, Dano; Meier, Ralph; Huschauer, Stephan; Nygren, Erik; Egli, Adrian; Weiler, Andreas; Stadelmann, Thilo,

2020.

Improving sample efficiency and multi-agent communication in RL-based train rescheduling [paper].

In:

2020 7th Swiss Conference on Data Science (SDS).

7th Swiss Conference on Data Science, Lucerne, Switzerland, 26 June 2020.

IEEE.

Available from: https://doi.org/10.21256/zhaw-19978

Aydarkhanov, Ruslan; Ušćumlić, Marija; Chavarriaga, Ricardo; Gheorghe, Lucian; del R Millán, José,

2020.

Spatial covariance improves BCI performance for late ERPs components with high temporal variability.

Journal of Neural Engineering.

17(3),

pp. 036030.

Available from: https://doi.org/10.1088/1741-2552/ab95eb

Orset, Bastien; Lee, Kyuhwa; Chavarriaga, Ricardo; Millan, Jose del R.,

2020.

User adaptation to closed-loop decoding of motor imagery termination.

IEEE Transactions on Bio-medical Electronics.

Available from: https://doi.org/10.1109/TBME.2020.3001981

Eslahi, Yasamin; Stockinger, Kurt; Bhardwaj, Akansha; Cudré-Mauroux, Philippe; Rosso, Paolo,

2020.

Annotating web tables through knowledge bases : a context-based approach (Best Paper Award) [paper].

In:

Proceedings of the 7th SDS.

Swiss Conference on Data Science, Lucerne, Switzerland, 26 June 2020.

IEEE.

Available from: https://doi.org/10.21256/zhaw-20229

Nadig, Stefanie; Braschler, Martin; Stockinger, Kurt,

2020.

Database search vs. information retrieval : a novel method for studying natural language querying of semi-structured data [paper].

In:

Proceedings of the 12th LREC.

12th Language Resources and Evaluation Conference (LREC) 2020.

Available from: https://doi.org/10.21256/zhaw-20042

Tuggener, Don; von Däniken, Pius; Peetz, Thomas; Cieliebak, Mark,

2020.

LEDGAR : a large-scale multi-label corpus for text classification of legal provisions in contracts [paper].

In:

Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020).

12th Language Resources and Evaluation Conference (LREC) 2020.

European Language Resources Association.

pp. 1228-1234.

Available from: https://doi.org/10.21256/zhaw-20087

Benites de Azevedo e Souza, Fernando; Duivesteijn, Gilbert François; von Däniken, Pius; Cieliebak, Mark,

2020.

TRANSLIT : a large-scale name transliteration resource [paper].

In:

Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020).

12th Language Resources and Evaluation Conference (LREC) 2020.

European Language Resources Association.

pp. 3258-3264.

Available from: https://doi.org/10.21256/zhaw-20082

Sinem Kafıloğlu, S.; Gür, Gürkan; Alagöz, Fatih,

2020.

A Markovian model for satellite integrated cognitive and D2D HetNets.

Computer Networks.

169(107083).

Available from: https://doi.org/10.21256/zhaw-20479

Liebhart, Daniel,

2020.

Die Stadt der Zukunft - gewoben oder verbunden?.

Netzwoche.

2020(1),

pp. 45.

Available from: https://doi.org/10.21256/zhaw-19945