Gür, Gürkan,

2019.

Spectrum sharing and content-centric operation for 5G hybrid satellite networks : prospects and challenges for space-terrestrial system integration.

IEEE Vehicular Technology Magazine.

Verfügbar unter: https://doi.org/10.1109/MVT.2019.2936608

Benites, Fernando,

2019.

TwistBytes : hierarchical classification at GermEval 2019 : walking the fine line (of recall and precision) [Paper].

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.

S. 328-335.

Verfügbar unter: https://doi.org/10.21256/zhaw-18848

Cieliebak, Mark; Tuggener, Don; Benites, Fernando, Hrsg.,

2019.

Proceedings of the 4th edition of the Swiss Text Analytics Conference.

SwissText 2019, Winterthur, 18-19 June 2019.

CEUR Workshop Proceedings.

.

Verfügbar unter: http://ceur-ws.org/Vol-2458/

Liebhart, Daniel,

2019.

Sprachenvielfalt in der IT.

Netzwoche.

2019(13), S. 53.

Verfügbar unter: https://doi.org/10.21256/zhaw-19927

Werlen, Egon; Imhof, Christof; Benites, Fernando; Bergamin, Per B.,

2019.

The reader's feeling and text-based emotions : the relationship between subjective self-reports, lexical ratings, and sentiment analysis [Paper].

In:

Cieliebak, Mark; Tuggener, Don; Benites, Fernando, Hrsg.,

Proceedings of the 4th edition of the Swiss Text Analytics Conference.

SwissText 2019, Winterthur, 18 - 19 June 2019.

CEUR Workshop Proceedings.

Verfügbar unter: https://doi.org/10.21256/zhaw-18859

Affolter, Katrin; Stockinger, Kurt; Bernstein, Abraham,

2019.

A comparative survey of recent natural language interfaces for databases.

The VLDB Journal.

Verfügbar unter: https://doi.org/10.1007/s00778-019-00567-8

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.

S. 3-16.

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) ; 291.

Verfügbar unter: https://doi.org/10.1007/978-3-030-25748-4_1

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, Hrsg.,

Applied data science : lessons learned for the data-driven business.

Cham:

Springer.

S. 387-408.

Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_21

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, S. 79-97.

Verfügbar unter: https://doi.org/10.4028/www.scientific.net/JBBBE.42.79

Toffetti Carughi, Giovanni; Bohnert, Thomas Michael,

2019.

Cloud robotics with ROS

.

In:

Koubaa, Anis, Hrsg.,

Robot operating system (ROS).

Cham:

Springer.

S. 119-146.

Studies in Computational Intelligence ; 831.

Verfügbar unter: https://doi.org/10.1007/978-3-030-20190-6_5

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.

S. 319-322.

Verfügbar unter: https://doi.org/10.1109/SERVICES.2019.00089

Liebhart, Daniel,

2019.

Die Lehre vom Zerfall der IT.

Netzwoche.

2019(10), S. 53.

Verfügbar unter: https://doi.org/10.21256/zhaw-19935

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), S. 12-27.

Verfügbar unter: https://doi.org/10.21256/zhaw-17956

Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,

2019.

Applied data science : lessons learned for the data-driven business.

1. Auflage.

Cham:

Springer.

ISBN 978-3-030-11820-4.

Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1

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.

S. 31-36.

Verfügbar unter: https://doi.org/10.1109/SDS.2019.00-11

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, Hrsg.,

Applied data science : lessons learned for the data-driven business.

Cham:

Springer.

S. 205-232.

Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_12

Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt,

2019.

Data science

.

In:

Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,

Applied data science : lessons learned for the data-driven business.

Cham:

Springer.

S. 17-29.

Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_2

Stadelmann, Thilo; Stockinger, Kurt; Heinatz-Bürki, Gundula; Braschler, Martin,

2019.

Data scientists

.

In:

Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,

Applied data science : lessons learned for the data-driven business.

Cham:

Springer.

S. 31-45.

Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_3

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.

S. 97-102.

Verfügbar unter: https://doi.org/10.1109/SDS.2019.00006

Stadelmann, Thilo; Braschler, Martin; Stockinger, Kurt,

2019.

Introduction to applied data science

.

In:

Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,

Applied data science : lessons learned for the data-driven business.

Cham:

Springer.

S. 3-16.

Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_1