David Chudán

According to our database, David Chudán authored at least 9 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Fact-check Summarization Leveraging on Argumentation Elements Tied to Entity Graphs.

Katerina Haniková, David Chudán, Vojtech Svátek, Peter Vajdecka, Raphaël Troncy, Filip Vencovský, Jana Syrovátková

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

AI Tools for Knowledge Management - Knowledge Base Creation via LLM and RAG for AI Assistant.

Maciej Pondel, Iwona Chomiak-Orsa, Malgorzata Sobinska, Wojciech Grzelak, Artur Kotwica, Andrzej Malowiecki, Kamila Luczak, Andrzej Grenczuk, Peter Busch, David Chudán, Petr Berka

Proceedings of the Emerging Challenges in Intelligent Management Information Systems - Proceedings of 27th European Conference on Artificial Intelligence ECAI 2024, 2024

Welcome, Newborn Entity! On Handling Newly Generated Entities in Ontology Transformation.

Vojtech Svátek, Ondrej Zamazal, Katerina Haniková, David Chudán, Mohammad Javad Saeedizade, Eva Blomqvist

Proceedings of the Joint Proceedings of Posters, 2024

2022

Towards Tailored Intervention in Medicine Using Patients' Segmentation.

Petr Berka, Maciej Pondel, David Chudán, Agnieszka Siennicka

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

2018

Dolování z otevřených dat o rozpočtech a výdajích.

David Chudán, Vojtech Svátek, Jaroslav Kuchar, Stanislav Vojír

Acta Informatica Pragensia, 2018

Analyzing Social Media Data for Recruiting Purposes.

Lucie Bohmova, David Chudán

Acta Informatica Pragensia, 2018

2013

Advanced Mining of Association Rules over Periodic Snapshots in a Data Warehouse.

David Chudán, Vojtech Svátek

Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies, 2013

2012

Association Rule Mining Following the Web Search Paradigm.

Radek Skrabal, Milan Simunek, Stanislav Vojír, Andrej Hazucha, Tomás Marek, David Chudán, Tomás Kliegr

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2010

SEWEBAR-CMS: A System for Postprocessing Data Mining Models.

Tomás Kliegr, David Chudán, Andrej Hazucha, Jan Rauch

Proceedings of the RuleML-2010 Challenge, 2010