Mathias Coeckelbergs
Mathias Coeckelbergs
PhD Researcher and Teaching Assistant
Verified email at ulb.ac.be - Homepage
Title
Cited by
Cited by
Year
Exploring archives with probabilistic models: Topic Modelling for the valorisation of digitised archives of the European Commission
S Hengchen, M Coeckelbergs, S Van Hooland, R Verborgh, T Steiner
2016 IEEE International Conference on Big Data (Big Data), 3245-3249, 2016
132016
Unsupervised Machine Learning for Archival Collections: Possibilities and Limits of Topic Modeling and Word Embedding
S van Hooland, M Coeckelbergs
Revista catalana d'arxivística 41, 73, 2018
22018
Modeling the Hebrew Bible: Potential of Topic Modeling Techniques for Semantic Annotation and Historical Analysis
M Coeckelbergs, S van Hooland
Proceedings of the Second International Workshop on Semantic Web for …, 2016
22016
Mining user queries with information extraction methods and linked data
A Chardonnens, E Rizza, M Coeckelbergs, S Van Hooland
Journal of Documentation, 2018
12018
Scrambling for Metadata Using Topic Modeling and Word2Vec to explore the Archives of the European Commission
S Van Hooland, M Coeckelbergs, S Hengchen, E Rizza
Digital approaches towards Serial publications (18th–20th centuries), 2017
12017
Advances in Digital Scholarly Editing. Papers presented at the DiXiT conferences in The Hague, Cologne, and Antwerp.
M Coeckelbergs, S Van Hooland, P Van Hecke
Sidestone Press, 2017
12017
The Reconfiguration of Hebrew in the Hellenistic Period: Proceedings of the Seventh International Symposium on the Hebrew of the Dead Sea Scrolls and Ben Sira at Strasbourg …
M Coeckelbergs
Dead Sea Discoveries 27 (2), 311-314, 2020
2020
Concepts in Topics. Using Word Embeddings to Leverage the Outcomes of Topic Modeling for the Exploration of Digitized Archival Collections
M Coeckelbergs, S Van Hooland
International Conference on Data and Information in Online, 41-52, 2020
2020
Classifying the Aramaic Texts from Qumran: A Statistical Analysis of Linguistic Features, written by John Starr
M Coeckelbergs
Dead Sea Discoveries 26 (1), 122-124, 2019
2019
Classifying and Searching Resource-Poor Languages More Efficiently. Using the FastText Word Embeddings for the Aramaic Language Family.
M Coeckelbergs
Sustaining Knowledge Diversity in the Digital Age, 31, 2018
2018
Hoe hot is. brussels? Analyse van de introductie van de top level domeinnaam. brussels
M Waty, S van Hooland, S Hengchen, M Coeckelbergs, M De Wilde, ...
Brussels Studies. La revue scientifique électronique pour les recherches sur …, 2018
2018
Quel engouement pour «. brussels»? Analyse de l’utilisation de «. brussels» comme extension de nom de domaine de premier niveau
M Waty, S van Hooland, S Hengchen, M Coeckelbergs, M De Wilde, ...
Brussels Studies. La revue scientifique électronique pour les recherches sur …, 2018
2018
How hot is. brussels? Analysis of the uptake of the. brussels top-level domain name extension
M Waty, S Van Hooland, S Hengchen, M Coeckelbergs, M De Wilde, ...
Brussels Studies. La revue scientifique électronique pour les recherches sur …, 2018
2018
Aprenentatge automàtic NO-SUPERVISAT PER ALS FONS ARXIVÍSTICS: possibilitats i límits dels models temàtics i la representació distribuïda
S Van Hooland, M Coeckelbergs
Lligall, 76-96, 2018
2018
Going beyond Google Analytics. Extending the Possibilities for the Monitoring and Reporting of Usage Data for Cultural Heritage Collections
A Chardonnens, M Coeckelbergs, S Van Hooland
Proceedings of the 9th Qualitative and Quantitative Methods in Libraries …, 2017
2017
Linking the Hebrew Bible to Scholarly Works.: A Critical Analysis of JSTORs API for Fuzzy Matching and Topic Modeling to Connect Primary and Secondary Source Materials
M Coeckelbergs, S Van Hooland, PPVH Van Hecke
European Society for Textual Scholarschip, 2016
2016
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