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ORCIDUwe Serdült
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- affiliation: Ritsumeikan University, Japan
- affiliation: University of Zurich, Switzerland
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2020 – today
- 2024
[j3]Daniil Buryakov, Máté Kovács, Uwe Serdült, Victor V. Kryssanov:
Enhancing the design of voting advice applications with BERT language model. Frontiers Artif. Intell. 7 (2024)- [c19]Daniil Buryakov
, Máté Kovács, Uwe Serdült, Victor V. Kryssanov:
A Multi-Label Classifier for Online Petition Systems. DG.O 2024: 156-164 - [c18]Ruihao Wang, Máté Kovács, Victor V. Kryssanov, Uwe Serdült:
A BERT-based Approach to Alleviate Civic Tech Tools Overcrowding: A case study of Taiwan's JOIN e-petition system. DG.O 2024: 695-702 - 2023
- [c17]Agus Riyadi, Máté Kovács, Uwe Serdült, Victor V. Kryssanov:
A Machine Learning Approach to Government Business Process Re-engineering. BigComp 2023: 56-63 - [c16]Uwe Serdült, Gabriel Hofmann, Máté Kovács, Konatsu Sugimoto, Yuuka Watanabe:
E-Participation Maturity Model Development based on the Cases of Germany, Japan and Switzerland. EGOV-CeDEM-ePart-* 2023 - [c15]Gabriel Hofmann, Uwe Serdült, Marine Charlotte Benli, Costa Vayenas, Jean-Patrick Villeneuve, Anna Picco-Schwendener, Leonardo Colosante:
Assessing e-Participation indices: A Call for More Valid Measurement: A Call for More Valid Measurement. ICEGOV 2023: 270-277 - [c14]Annisa Dea Rachmantya, Uwe Serdült, Victor V. Kryssanov:
Comparing Sparse and Dense Optical Flow Methods to Detect Traffic Anomalies, Based on Orientation. SIET 2023: 33-38 - 2022
- [c13]Daniil Buryakov, Airo Hino, Máté Kovács, Uwe Serdült:
Text Mining from Party Manifestos to Support the Design of Online Voting Advice Applications. BESC 2022: 1-7 - [c12]Daniil Buryakov, Máté Kovács, Victor V. Kryssanov, Uwe Serdült:
Using Open Government Data to Facilitate the Design of Voting Advice Applications. ePart 2022: 19-34 - [c11]Uwe Serdült, Gabriel Hofmann, Costa Vayenas:
Introducing the DigiPart-Index: Mapping and explaining digital political participation on the subnational level in Switzerland. ICEGOV 2022: 229-236 - 2021
- [j2]Budi Darma Setiawan, Uwe Serdült, Victor V. Kryssanov:
A Machine Learning Framework for Balancing Training Sets of Sensor Sequential Data Streams. Sensors 21(20): 6892 (2021) - [c10]Daniel Moritz Marutschke, Jeremy White, Uwe Serdült:
WordPress and Kanban Use in Software Engineering Education Evaluated by Natural Language Processing and Neural Network. IWCIA 2021: 1-6 - [c9]Budi Darma Setiawan, Uwe Imre Serdült, Victor V. Kryssanov:
Smartphone Sensor Data Augmentation for Automatic Road Surface Assessment Using a Small Training Dataset. BigComp 2021: 239-245 - [c8]Valentinus Roby Hananto, Uwe Serdült, Victor V. Kryssanov:
A Tourism Knowledge Model through Topic Modeling from Online Reviews. ICCDE 2021: 87-93 - 2020
- [c7]Thariq M. Jauhari, Soomin Kim, Máté Kovács, Uwe Serdült, Victor V. Kryssanov:
Assessing Customer Needs Based On Online Reviews: A Topic Modeling Approach. IICST 2020: 57-62 - [c6]Budi Darma Setiawan, Victor V. Kryssanov, Uwe Serdült:
Monitoring Road Surface Conditions with Cyclist's Smartphone Sensors. IICST 2020: 76-82 - [c5]Valentinus Roby Hananto, Uwe Serdült, Victor V. Kryssanov:
Discovering Tourism Topics From Social Media: A Case Study of Japan. IICST 2020: 83-89 - [e3]Uwe Serdült, Anton Loshchilov, Wayan Firdaus Mahmudy, Heru Nurwasito:
Proceedings of the 5th International Workshop on Innovations in Information and Communication Science and Technology, Malang, Indonesia, March 9, 2020 (canceled by authorities due to SARS-CoV-2). CEUR Workshop Proceedings 2627, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [e2]Robert Krimmer, Melanie Volkamer, Véronique Cortier, Bernhard Beckert, Ralf Küsters, Uwe Serdült, David Duenas-Cid:
Electronic Voting - 4th International Joint Conference, E-Vote-ID 2019, Bregenz, Austria, October 1-4, 2019, Proceedings. Lecture Notes in Computer Science 11759, Springer 2019, ISBN 978-3-030-30624-3 [contents] - 2018
- [e1]Robert Krimmer, Melanie Volkamer, Véronique Cortier, Rajeev Goré, Manik Hapsara, Uwe Serdült, David Duenas-Cid:
Electronic Voting - Third International Joint Conference, E-Vote-ID 2018, Bregenz, Austria, October 2-5, 2018, Proceedings. Lecture Notes in Computer Science 11143, Springer 2018, ISBN 978-3-030-00418-7 [contents] - 2017
- [j1]Fernando Mendez, Uwe Serdült:
What drives fidelity to internet voting? Evidence from the roll-out of internet voting in Switzerland. Gov. Inf. Q. 34(3): 511-523 (2017) - [c4]Uwe Serdült, Thomas Milic:
Disentangling Digital Divide and Trust - Internet Voting Affinity in Switzerland. ePart 2017: 37-52 - 2016
- [c3]Uwe Serdült, Fernando Mendez, Maya Harris, Hyeon Su Seo:
Scaling Up Democracies with E-Collecting? CeDEM 2016: 25-31 - 2015
- [i1]David García, Adiya Abisheva, Simon Schweighofer, Uwe Serdült, Frank Schweitzer:
Ideological and Temporal Components of Network Polarization in Online Political Participatory Media. CoRR abs/1503.07711 (2015) - 2012
- [c2]David García, Fernando Mendez, Uwe Serdült, Frank Schweitzer:
Political polarization and popularity in online participatory media: an integrated approach. PLEAD@CIKM 2012: 3-10 - 2011
- [c1]Alejandra Marzuca, Uwe Serdült, Yanina Welp:
Questão Pública: First Voting Advice Application in Latin America. ePart 2011: 216-227
Coauthor Index
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