Questão Pública: First Voting Advice Application in Latin America. - Alejandra Marzuca; Uwe Serdült; Yanina Welp (ePart, 2011)

Political polarization and popularity in online participatory media: an integrated approach. - David García 001; Fernando Mendez; Uwe Serdült; Frank Schweitzer (PLEAD@CIKM, 2012)

Ideological and Temporal Components of Network Polarization in Online Political Participatory Media. - David García 001; Adiya Abisheva; Simon Schweighofer; Uwe Serdült; Frank Schweitzer (CoRR, 2015)

Scaling Up Democracies with E-Collecting? - Uwe Serdült; Fernando Mendez; Maya Harris; Hyeon Su Seo (CeDEM, 2016)

Disentangling Digital Divide and Trust - Internet Voting Affinity in Switzerland. - Uwe Serdült; Thomas Milic (ePart, 2017)

What drives fidelity to internet voting? Evidence from the roll-out of internet voting in Switzerland. - Fernando Mendez; Uwe Serdült (Gov. Inf. Q., 2017)

Discovering Tourism Topics From Social Media: A Case Study of Japan. - Valentinus Roby Hananto; Uwe Serdült; Victor V. Kryssanov (IICST, 2020)

Assessing Customer Needs Based On Online Reviews: A Topic Modeling Approach. - Thariq M. Jauhari; Soomin Kim; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (IICST, 2020)

Monitoring Road Surface Conditions with Cyclist's Smartphone Sensors. - Budi Darma Setiawan; Victor V. Kryssanov; Uwe Serdült (IICST, 2020)

WordPress and Kanban Use in Software Engineering Education Evaluated by Natural Language Processing and Neural Network. - Daniel Moritz Marutschke; Jeremy White; Uwe Serdült (IWCIA, 2021)

Smartphone Sensor Data Augmentation for Automatic Road Surface Assessment Using a Small Training Dataset. - Budi Darma Setiawan; Uwe Imre Serdült; Victor V. Kryssanov (BigComp, 2021)

A Tourism Knowledge Model through Topic Modeling from Online Reviews. - Valentinus Roby Hananto; Uwe Serdült; Victor V. Kryssanov (ICCDE, 2021)

A Machine Learning Framework for Balancing Training Sets of Sensor Sequential Data Streams. - Budi Darma Setiawan; Uwe Serdült; Victor V. Kryssanov (Sensors, 2021)

Text Mining from Party Manifestos to Support the Design of Online Voting Advice Applications. - Daniil Buryakov; Airo Hino; Máté Kovács; Uwe Serdült (BESC, 2022)

Using Open Government Data to Facilitate the Design of Voting Advice Applications. - Daniil Buryakov; Máté Kovács; Victor V. Kryssanov; Uwe Serdült (ePart, 2022)

Introducing the DigiPart-Index: Mapping and explaining digital political participation on the subnational level in Switzerland. - Uwe Serdült; Gabriel Hofmann; Costa Vayenas (ICEGOV, 2022)

A Machine Learning Approach to Government Business Process Re-engineering. - Agus Riyadi; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (BigComp, 2023)

E-Participation Maturity Model Development based on the Cases of Germany, Japan and Switzerland. - Uwe Serdült; Gabriel Hofmann; Máté Kovács; Konatsu Sugimoto; Yuuka Watanabe (EGOV-CeDEM-ePart-*, 2023)

Assessing e-Participation indices: A Call for More Valid Measurement: A Call for More Valid Measurement. - Gabriel Hofmann; Uwe Serdült; Marine Charlotte Benli; Costa Vayenas; Jean-Patrick Villeneuve; Anna Picco-Schwendener; Leonardo Colosante (ICEGOV, 2023)

Comparing Sparse and Dense Optical Flow Methods to Detect Traffic Anomalies, Based on Orientation. - Annisa Dea Rachmantya; Uwe Serdült; Victor V. Kryssanov (SIET, 2023)

A Multi-Label Classifier for Online Petition Systems. - Daniil Buryakov; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (DG.O, 2024)

A BERT-based Approach to Alleviate Civic Tech Tools Overcrowding: A case study of Taiwan's JOIN e-petition system. - Ruihao Wang; Máté Kovács; Victor V. Kryssanov; Uwe Serdült (DG.O, 2024)

Temporal Dynamics and Success Patterns of Online Petitions: A Time-Series Clustering Approach. - Máté Kovács; Daniil Buryakov; Didier Gohourou; Uwe Serdült (ICRAI, 2024)

Balancing Performance and Computational Cost for Online Petition Processing. - Christopher Kevin Siswanto; Máté Kovács; Uwe Serdült (ICRAI, 2024)

IndoGovBERT: A Domain-Specific Language Model for Processing Indonesian Government SDG Documents. - Agus Riyadi; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (Big Data Cogn. Comput., 2024)

Enhancing the design of voting advice applications with BERT language model. - Daniil Buryakov; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (Frontiers Artif. Intell., 2024)

Towards Efficient and Interpretable Machine Learning for Classifying Petition Admissibility: A Case Study of the JOIN Platform. - Ruihao Wang; Máté Kovács; Olivia Wang; Uwe Serdült (EGOV, 2025)

Benchmarking with a Language Model Initial Selection for Text Classification Tasks. - Agus Riyadi; Máté Kovács; Uwe Serdült; Victor V. Kryssanov (Mach. Learn. Knowl. Extr., 2025)