E-LIB Suche - Ergebnisse für: Robnik-Sikonja, Marko

1

Sequence-to-sequence pretraining for a less-resourced Slove..:

Ulčar, Matej ; Robnik-Šikonja, Marko
Frontiers in Artificial Intelligence. 6 (2023) - p. , 2023

2

Feature construction using explanations of individual predi..:

Vouk, Boštjan ; Guid, Matej ; Robnik-Šikonja, Marko
Engineering Applications of Artificial Intelligence. 120 (2023) - p. 105823 , 2023

Link: https://doi.org/10.1016/..

3

One Model to Rule Them All: Ranking Slovene Summarizers:

, In: Text, Speech, and Dialogue; Lecture Notes in Computer Science,

Žagar, Aleš ; Robnik-Šikonja, Marko - p. 15-24 , 2023

Link: https://doi.org/10.1007/..

4

34. evropska poletna šola logike, jezika in informatike ESS..:

Klemen, Matej ; Žagar, Aleš ; Knez, Timotej...
Slovenščina 2.0: empirične, aplikativne in interdisciplinarne raziskave. 11 (2023) 2 - p. 84-91 , 2023

Link: https://doi.org/10.4312/..

5

Veliki jezikovni velikani: so tudi prijazni?:

Robnik-Šikonja, Marko
Alternator. , 2023

Link: https://doi.org/10.3986/..

6

Preventing deception with explanation methods using focused..:

Vreš, Domen ; Robnik-Šikonja, Marko
Data Mining and Knowledge Discovery. , 2022

Link: https://doi.org/10.1007/..

7

Knowledge graph informed fake news classification via heter..:

Koloski, Boshko ; Stepišnik Perdih, Timen ; Robnik-Šikonja, Marko..
Neurocomputing. 496 (2022) - p. 208-226 , 2022

Link: https://doi.org/10.1016/..

8

MICE: Mining Idioms with Contextual Embeddings:

Škvorc, Tadej ; Gantar, Polona ; Robnik-Šikonja, Marko
Knowledge-Based Systems. 235 (2022) - p. 107606 , 2022

Link: https://doi.org/10.1016/..

9

Enhancing deep neural networks with morphological informati..:

Klemen, Matej ; Krsnik, Luka ; Robnik-Šikonja, Marko
Natural Language Engineering. 29 (2022) 2 - p. 360-385 , 2022

Link: https://doi.org/10.1017/..

10

Disease Progression of Hypertrophic Cardiomyopathy: Modelin..:

Pičulin, Matej ; Smole, Tim ; Žunkovič, Bojan...
JMIR Medical Informatics. 10 (2022) 2 - p. e30483 , 2022

Link: https://doi.org/10.2196/..

11

Training Dataset and Dictionary Sizes Matter in BERT Models..:

, In: Lecture Notes in Computer Science; Analysis of Images, Social Networks and Texts,

Ulčar, Matej ; Robnik-Šikonja, Marko - p. 162-172 , 2022

Link: https://doi.org/10.1007/..

12

NeSyChair: Automatic Conference Scheduling Combining Neuro-..:

Skvorc, Tadej ; Lavrac, Nada ; Robnik-Sikonja, Marko
IEEE Access. 10 (2022) - p. 10880-10897 , 2022

Link: https://doi.org/10.1109/..

13

Cross-lingual alignments of ELMo contextual embeddings:

Ulčar, Matej ; Robnik-Šikonja, Marko
Neural Computing and Applications. 34 (2022) 15 - p. 13043-13061 , 2022

Link: https://doi.org/10.1007/..

14

Slovene and Croatian word embeddings in terms of gender occ..:

Ulčar, Matej ; Supej, Anka ; Robnik-Šikonja, Marko.
Slovenščina 2.0: empirical, applied and interdisciplinary research. 9 (2021) 1 - p. 26-59 , 2021

Link: https://doi.org/10.4312/..

15

Cross-lingual transfer of abstractive summarizer to less-re..:

Žagar, Aleš ; Robnik-Šikonja, Marko
Journal of Intelligent Information Systems. 58 (2021) 1 - p. 153-173 , 2021

Link: https://doi.org/10.1007/..