Manex Aguirrezabal Zabaleta

Manex Aguirrezabal Zabaleta

Lektor

ORCID: 0000-0001-5909-2745

Udgivelsesår:
Alle
1 - 5 ud af 5Pr. side: 10
Sortering: Udgivelsesdato
  1. 2022
  2. Udgivet

    Fashion Style Generation: Evolutionary Search with Gaussian Mixture Models in the Latent Space

    Grabe, I., Zhu, J. & Agirrezabal, Manex, 2022, International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar). Springer, Cham, s. 84-100

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  3. Udgivet

    Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color

    Boldsen, S., Agirrezabal, Manex & Hollenstein, N., 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. Dublin: Association for Computational Linguistics, Bind 1. s. 6819–6836

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  4. Udgivet

    KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text

    Agirrezabal, Manex & Amann, J., 2022, Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion. Dublin: Association for Computational Linguistics, s. 245–250

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  5. Udgivet

    Lateralized Readiness Potentials Recorded with Near-Threshold Auditory Stimuli in Subjects Simulating Hearing loss

    Morris, David Jackson, Agirrezabal, Manex, Brännström, K. J. & Aaby Gade, P., 2022, I: Audiology and Neurotology. 27, 2, s. 139-147

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  6. Udgivet

    PoeLM: A meter-and rhyme-controllable language model for unsupervised poetry generation

    Ormazabal, A., Agirrezabal, Manex, Artetxe, M., Soroa, A. & Agirre, E., 2022, Findings of the Association for Computational Linguistics: EMNLP 2022. Goldberg, Y., Kozareva, Z. & Zhang, Y. (red.). Abu Dhabi: Association for Computational Linguistics, 16 s.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

ID: 180842014