Calibrated term presence modelling for CCUS patent abstracts: a case study with variational autoencoders and retrieval baselines.

Matsantonis C, Tzougas G, Christopoulos D, Dekker D, Streftaris G

DOI: 10.1098/rsos.261365
Published: 2026 Oct 7
Container: Royal Society open science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1098/rsos.261365,
  title = {Calibrated term presence modelling for CCUS patent abstracts: a case study with variational autoencoders and retrieval baselines.},
  author = {Matsantonis C and Tzougas G and Christopoulos D and Dekker D and Streftaris G},
  year = {2026},
  journal = {Royal Society open science},
  doi = {10.1098/rsos.261365},
  url = {https://doi.org/10.1098/rsos.261365}
}

RIS

TY  - JOUR
TI  - Calibrated term presence modelling for CCUS patent abstracts: a case study with variational autoencoders and retrieval baselines.
AU  - Matsantonis C
AU  - Tzougas G
AU  - Christopoulos D
AU  - Dekker D
AU  - Streftaris G
PY  - 2026
JO  - Royal Society open science
DO  - 10.1098/rsos.261365
UR  - https://doi.org/10.1098/rsos.261365
ER  -

APA

C, M., G, T., D, C., D, D., & G, S. (2026). Calibrated term presence modelling for CCUS patent abstracts: a case study with variational autoencoders and retrieval baselines.. Royal Society open science. https://doi.org/10.1098/rsos.261365

Source records

pubmed · retrieved 2026-11-10T07:14:21.469Z