Jakub Smíd

According to our database, Jakub Smíd authored at least 12 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A comparative study of cross-lingual sentiment analysis.

Pavel Pribán, Jakub Smíd, Josef Steinberger, Adam Mistera

Expert Syst. Appl., 2024

UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection.

Jakub Smíd, Pavel Pribán, Pavel Král

Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

LLaMA-Based Models for Aspect-Based Sentiment Analysis.

Jakub Smíd, Pavel Pribán, Pavel Král

Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks.

Jakub Smíd, Pavel Pribán, Ondrej Prazák, Pavel Král

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Prompt-Based Approach for Czech Sentiment Analysis.

Jakub Smíd, Pavel Pribán

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

2022

Linear Transformations for Cross-lingual Sentiment Analysis.

Pavel Pribán, Jakub Smíd, Adam Mistera, Pavel Král

Proceedings of the Text, Speech, and Dialogue - 25th International Conference, 2022

2015

Multi-Objective Genetic Programming for Dataset Similarity Induction.

Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Co-evolutionary genetic programming for dataset similarity induction.

Jakub Smíd, Martin Pilát, Klára Pesková, Roman Neruda

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Hybrid Multi-Agent System for Metalearning in Data Mining.

Klára Pesková, Jakub Smíd, Martin Pilát, Ondrej Kazík, Roman Neruda

Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

Comparing datasets by attribute alignment.

Jakub Smíd, Roman Neruda

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013

Clustering Based Classification in Data Mining Method Recommendation.

Ondrej Kazík, Klára Pesková, Jakub Smíd, Roman Neruda

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Using Genetic Programming to Estimate Performance of Computational Intelligence Models.

Jakub Smíd, Roman Neruda

Proceedings of the Adaptive and Natural Computing Algorithms, 2013