Thomas Labbé

Orcid: 0000-0001-9295-7675

According to our database1, Thomas Labbé authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
0
1
2
3
4
1
2
2
2
2
2
1

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Phenotypes Extraction from Text: Analysis and Perspective in the LLM Era.
Proceedings of the 12th IEEE International Conference on Intelligent Systems, 2024

Visual Scene Understanding for Enhanced EMG Gesture Recognition.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
From tabular data to knowledge graphs: A survey of semantic table interpretation tasks and methods.
J. Web Semant., April, 2023

ChatGPT for phenotypes extraction: one model to rule them all?
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Live Demonstration: A fully embedded adaptive real-time hand gesture classifier leveraging HD-sEMG and deep learning.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022
From Heuristics to Language Models: A Journey Through the Universe of Semantic Table Interpretation with DAGOBAH.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, 2022

DAGOBAH UI: A New Hope for Semantic Table Interpretation.
Proceedings of the Semantic Web: ESWC 2022 Satellite Events - Hersonissos, Crete, Greece, May 29, 2022

2021
DAGOBAH: Table and Graph Contexts For Efficient Semantic Annotation Of Tabular Data.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

A Framework for Automatically Interpreting Tabular Data at Orange.
Proceedings of the ISWC 2021 Posters, 2021

2020
DAGOBAH: Enhanced Scoring Algorithms for Scalable Annotations of Tabular Data.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), 2020

DAGOBAH : Un système d'annotation sémantique de données tabulaires indépendant du contexte.
Proceedings of the IC 2020 : 31es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 31st French Knowledge Engineering Conference), Angers, France, June 29, 2020

2019
DAGOBAH: An End-to-End Context-Free Tabular Data Semantic Annotation System.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 18th International Semantic Web Conference, 2019


  Loading...