Publications
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2019.
IEEE Vehicular Technology Magazine.
Available from: https://doi.org/10.1109/MVT.2019.2936608
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Benites, Fernando,
2019.
In:
Proceedings of the 15th conference on natural language processing (KONVENS 2019).
KONVENS, Erlangen-Nürnberg, Germany, October 9 – 11, 2019.
German Society for Computational Linguistics & Language Technology.
pp. 328-335.
Available from: https://doi.org/10.21256/zhaw-18848
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Cieliebak, Mark; Tuggener, Don; Benites, Fernando, eds.,
2019.
Proceedings of the 4th edition of the Swiss Text Analytics Conference.
SwissText 2019, Winterthur, 18-19 June 2019.
CEUR Workshop Proceedings.
.
Available from: http://ceur-ws.org/Vol-2458/
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2019.
Netzwoche.
2019(13), pp. 53.
Available from: https://doi.org/10.21256/zhaw-19927
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Werlen, Egon; Imhof, Christof; Benites, Fernando; Bergamin, Per B.,
2019.
In:
Cieliebak, Mark; Tuggener, Don; Benites, Fernando, eds.,
Proceedings of the 4th edition of the Swiss Text Analytics Conference.
SwissText 2019, Winterthur, 18 - 19 June 2019.
CEUR Workshop Proceedings.
Available from: https://doi.org/10.21256/zhaw-18859
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Affolter, Katrin; Stockinger, Kurt; Bernstein, Abraham,
2019.
A comparative survey of recent natural language interfaces for databases.
The VLDB Journal.
Available from: https://doi.org/10.1007/s00778-019-00567-8
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Bayhan, Suzan; Gür, Gürkan; Zubow, Anatolij,
2019.
PoMeS : profit-maximizing sensor selection for crowd-sensed spectrum discovery [paper].
In:
Cognitive Radio-Oriented Wireless Networks.
14th International Conference on Cognitive Radio Oriented Wireless Networks, Poznan, Poland, 11-12 June 2019.
Cham:
Springer.
pp. 3-16.
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) ; 291.
Available from: https://doi.org/10.1007/978-3-030-25748-4_1
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Breymann, Wolfgang; Bundi, Nils; Heitz, Jonas; Micheler, Johannes; Stockinger, Kurt,
2019.
Large-scale data-driven financial risk assessment
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
pp. 387-408.
Available from: https://doi.org/10.1007/978-3-030-11821-1_21
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Debelee, Taye Girma; Gebreselasie, Abrham; Schwenker, Friedhelm; Amirian, Mohammadreza; Yohannes, Dereje,
2019.
Classification of mammograms using texture and CNN based extracted features.
Journal of Biomimetics, Biomaterials and Biomedical Engineering.
42, pp. 79-97.
Available from: https://doi.org/10.4028/www.scientific.net/JBBBE.42.79
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Toffetti Carughi, Giovanni; Bohnert, Thomas Michael,
2019.
.
In:
Koubaa, Anis, ed.,
Robot operating system (ROS).
Cham:
Springer.
pp. 119-146.
Studies in Computational Intelligence ; 831.
Available from: https://doi.org/10.1007/978-3-030-20190-6_5
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Gkikopoulos, Panagiotis,
2019.
Data distribution and exploitation in a global microservice artefact observatory [paper].
In:
15th IEEE World Congress on Services.
15th IEEE World Congress on Services, Milan, Italy, 8-13 July 2019.
IEEE.
pp. 319-322.
Available from: https://doi.org/10.1109/SERVICES.2019.00089
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2019.
Netzwoche.
2019(10), pp. 53.
Available from: https://doi.org/10.21256/zhaw-19935
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Rennhard, Marc; Esposito, Damiano; Ruf, Lukas; Wagner, Arno,
2019.
Improving the effectiveness of web application vulnerability scanning.
International Journal on Advances in Internet Technology.
12(1/2), pp. 12-27.
Available from: https://doi.org/10.21256/zhaw-17956
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Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,
2019.
Applied data science : lessons learned for the data-driven business.
1. Auflage.
Cham:
Springer.
ISBN 978-3-030-11820-4.
Available from: https://doi.org/10.1007/978-3-030-11821-1
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Tuggener, Lukas; Amirian, Mohammadreza; Rombach, Katharina; Lörwald, Stefan; Varlet, Anastasia; Westermann, Christian; Stadelmann, Thilo,
2019.
Automated machine learning in practice : state of the art and recent results [paper].
In:
2019 6th Swiss Conference on Data Science (SDS).
6th Swiss Conference on Data Science (SDS), Bern, 14. Juni 2019.
IEEE.
pp. 31-36.
Available from: https://doi.org/10.1109/SDS.2019.00-11
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Stadelmann, Thilo; Tolkachev, Vasily; Sick, Beate; Stampfli, Jan; Dürr, Oliver,
2019.
Beyond ImageNet : deep learning in industrial practice
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
pp. 205-232.
Available from: https://doi.org/10.1007/978-3-030-11821-1_12
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Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt,
2019.
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
pp. 17-29.
Available from: https://doi.org/10.1007/978-3-030-11821-1_2
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Stadelmann, Thilo; Stockinger, Kurt; Heinatz-Bürki, Gundula; Braschler, Martin,
2019.
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
pp. 31-45.
Available from: https://doi.org/10.1007/978-3-030-11821-1_3
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Brunner, Ursin; Stockinger, Kurt,
2019.
Entity matching on unstructured data : an active learning approach [paper].
In:
Proceedings of the 6th SDS.
Swiss Conference on Data Science, Berne, Switzerland, 14 June 2019.
IEEE.
pp. 97-102.
Available from: https://doi.org/10.1109/SDS.2019.00006
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Stadelmann, Thilo; Braschler, Martin; Stockinger, Kurt,
2019.
Introduction to applied data science
.
In:
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,
Applied data science : lessons learned for the data-driven business.
Cham:
Springer.
pp. 3-16.
Available from: https://doi.org/10.1007/978-3-030-11821-1_1