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2020 – today
- 2024
[j1]Pavel Pribán
, Jakub Smíd, Josef Steinberger, Adam Mistera:
A comparative study of cross-lingual sentiment analysis. Expert Syst. Appl. 247: 123247 (2024)- [c11]Jakub Smíd, Pavel Pribán, Ondrej Prazák, Pavel Král:
Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks. LREC/COLING 2024: 4299-4310 - [c10]Jakub Smíd, Pavel Pribán, Pavel Král:
LLaMA-Based Models for Aspect-Based Sentiment Analysis. WASSA 2024: 63-70 - [c9]Jakub Smíd, Pavel Pribán, Pavel Král:
UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection. WASSA 2024: 483-489 - 2023
- [c8]Jakub Smíd, Pavel Pribán:
Prompt-Based Approach for Czech Sentiment Analysis. RANLP 2023: 1110-1120 - 2022
- [c7]Pavel Pribán, Jakub Smíd, Adam Mistera, Pavel Král:
Linear Transformations for Cross-lingual Sentiment Analysis. TSD 2022: 125-137 - [i1]Pavel Pribán, Jakub Smíd, Adam Mistera, Pavel Král:
Linear Transformations for Cross-lingual Sentiment Analysis. CoRR abs/2209.07244 (2022)
2010 – 2019
- 2015
- [c6]Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda:
Co-evolutionary genetic programming for dataset similarity induction. CEC 2015: 1160-1166 - [c5]Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda:
Multi-Objective Genetic Programming for Dataset Similarity Induction. SSCI 2015: 1576-1582 - 2014
- [c4]Jakub Smíd, Roman Neruda:
Comparing datasets by attribute alignment. CIDM 2014: 56-62 - [c3]Klára Pesková, Jakub Smíd, Martin Pilát, Ondrej Kazík, Roman Neruda:
Hybrid Multi-Agent System for Metalearning in Data Mining. MetaSel@ECAI 2014: 53-54 - 2013
- [c2]Jakub Smíd, Roman Neruda:
Using Genetic Programming to Estimate Performance of Computational Intelligence Models. ICANNGA 2013: 169-178 - [c1]Ondrej Kazík, Klára Pesková, Jakub Smíd, Roman Neruda:
Clustering Based Classification in Data Mining Method Recommendation. ICMLA (2) 2013: 356-361
Coauthor Index
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