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- Institute of Astrophysics and Space SciencesPT465 papers
- Centre National de la Recherche ScientifiqueFR297 papers
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71 papers · 1 filter
Optimization of Image Processing Algorithms for Character Recognition in Cultural Typewritten Documents
Mariana Dias, Carla Teixeira Lopes
Linked Data is used in various fields as a new way of structuring and connecting data. Cultural heritage institutions have been using linked data to improve archival descriptions a…
GPT Struct Me: Probing GPT Models on Narrative Entity Extraction
Hugo Sousa, Nuno Guimarães, Alípio Jorge +1
The importance of systems that can extract structured information from textual data becomes increasingly pronounced given the ever-increasing volume of text produced on a daily bas…
Giant Outer Transiting Exoplanet Mass (GOT 'EM) Survey: III. Recovery and Confirmation of a Temperate, Mildly Eccentric, Single-Transit Jupiter Orbiting TOI-2010
Christopher R. Mann, Paul A. Dalba, David Lafrenière +48
Large-scale exoplanet surveys like the TESS mission are powerful tools for discovering large numbers of exoplanet candidates. Single-transit events are commonplace within the resul…
TESS Giants Transiting Giants V -- Two hot Jupiters orbiting red-giant hosts
Filipe Pereira, Samuel K. Grunblatt, Angelica Psaridi +24
In this work we present the discovery and confirmation of two hot Jupiters orbiting red-giant stars, TOI-4377 b and TOI-4551 b, observed by TESS in the southern ecliptic hemisphere…
Learning Linear Gaussian Polytree Models with Interventions
D. Tramontano, L. Waldmann, M. Drton +1
We present a consistent and highly scalable local approach to learn the causal structure of a linear Gaussian polytree using data from interventional experiments with known interve…
Spreadsheet-based Configuration of Families of Real-Time Specifications
José Proença, David Pereira, Giann Spilere Nandi +2
Model checking real-time systems is complex, and requires a careful trade-off between including enough detail to be useful and not too much detail to avoid state explosion. This wo…