Masarykova univerzita

Výpis publikací

česky | in English

Filtrování publikací

    2021

  1. ŠTEFÁNIK, Michal. On Eliminating Inductive Biases of Deep Language Models. In ALPS 2021. 2021.
  2. NOVOTNÝ, Vít, Eniafe Festus AYETIRAN, Dávid LUPTÁK, Michal ŠTEFÁNIK a Petr SOJKA. One Size Does Not Fit All: Finding the Optimal N-gram Sizes for FastText Models across Languages. New York, USA: Cornell University, 2021.
  3. 2020

  4. NOVOTNÝ, Vít, Eniafe Festus AYETIRAN, Michal ŠTEFÁNIK a Petr SOJKA. Text classification with word embedding regularization and soft similarity measure. New York, USA: Cornell University, 2020.
  5. NOVOTNÝ, Vít, Petr SOJKA, Michal ŠTEFÁNIK a Dávid LUPTÁK. Three is Better than One: Ensembling Math Information Retrieval Systems. CEUR Workshop Proceedings. Thessaloniki, Greece: M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen., 2020, roč. 2020, č. 2696, s. 1-30. ISSN 1613-0073.
  6. NOVOTNÝ, Vít, Michal ŠTEFÁNIK, Dávid LUPTÁK a Petr SOJKA. Towards Useful Word Embeddings: Evaluation on Information Retrieval, Text Classification, and Language Modeling. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020. Brno: Tribun EU, 2020. s. 37-46. ISBN 978-80-263-1517-9.
  7. 2019

  8. SOJKA, Petr, Vít NOVOTNÝ, Eniafe Festus AYETIRAN, Dávid LUPTÁK a Michal ŠTEFÁNIK. Quo Vadis, Math Information Retrieval. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of the Thirteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2019. Brno: Tribun EU, 2019. s. 117-128. ISBN 978-80-263-1517-9.
  9. ŠTEFÁNIK, Michal a Vít NOVOTNÝ. Video699: Interconnecting Lecture Recordings with Study Materials. 2019.
  10. 2016

  11. JIRSÍK, Tomáš, Milan ČERMÁK, Daniel TOVARŇÁK, Jakub Samuel PAULOVIČ a Michal ŠTEFÁNIK. Stream4Flow: Software for mining and analysis of the large volumes of network traffic. 2016.
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Zobrazeno: 1. 3. 2021 09:23