| Learning job titles similarity from noisy skill labels R Zbib, LA Lacasa, F Retyk, R Poves, J Aizpuru, H Fabregat, V Simkus, ... arXiv preprint arXiv:2207.00494, 2022 | 15 | 2022 |
| Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation D Deniz, F Retyk, L García-Sardiña, H Fabregat, L Gasco, R Zbib RecSys in HR’24: The 4th Workshop on Recommender Systems for Human Resources …, 2024 | 9 | 2024 |
| Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study F Retyk, H Fabregat, J Aizpuru, M Taglio, R Zbib RecSys in HR’23: The 3rd Workshop on Recommender Systems for Human Resources …, 2023 | 7 | 2023 |
| MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations F Retyk, L Gasco, CP Carrino, D Deniz, R Zbib RecSys in HR’24: The 4th Workshop on Recommender Systems for Human Resources …, 2024 | 4 | 2024 |
| Inductive graph neural network for job-skill framework analysis H Fabregat, R Poves, LA Lacasa, F Retyk, L García-Sardiña, R Zbib Procesamiento del Lenguaje Natural 73, 83-94, 2024 | 4 | 2024 |
| On Meta-Reinforcement Learning in task distributions with varying dynamics F Retyk Universitat Politècnica de Catalunya, 2021 | 4 | 2021 |
| Normalisation of Education Information in Digitalised Recruitment Processes L García-Sardiña, F Retyk, H Fabregat, L Alvarez Lacasa, R Poves, ... Sociedad Española para el Procesamiento del Lenguaje Natural, 2023 | | 2023 |
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