Outputs (3)

A Comparative Study of Assessment Metrics for Imbalanced Learning (2023)
Presentation / Conference Contribution
Farou, Z., Aharrat, M., & Horváth, T. (2023, September). A Comparative Study of Assessment Metrics for Imbalanced Learning. Presented at European Conference on Advances in Databases and Information Systems (ADBIS 2023), Barcelona, Spain

There are several machine learning algorithms addressing class imbalance problem, requiring standardized metrics for adequete performance evaluation. This paper reviews several metrics for imbalanced learning in binary and multi-class problems. We em... Read More about A Comparative Study of Assessment Metrics for Imbalanced Learning.

Squared Symmetric Formal Contexts and Their Connections with Correlation Matrices (2023)
Presentation / Conference Contribution
Antoni, L., Eliaš, P., Horváth, T., Krajči, S., Krídlo, O., & Török, C. (2023, September). Squared Symmetric Formal Contexts and Their Connections with Correlation Matrices. Presented at International Conference on Conceptual Structures (ICCS) 202

Formal Concept Analysis identifies hidden patterns in data that can be presented to the user or the data analyst. We propose a method for analyzing the correlation matrices based on Formal concept analysis. In particular, we define a notion of square... Read More about Squared Symmetric Formal Contexts and Their Connections with Correlation Matrices.

NCC: Neural concept compression for multilingual document recommendation (2023)
Presentation / Conference Contribution
Tashu, T. M., Lenz, M., & Horváth, T. NCC: Neural concept compression for multilingual document recommendation

In this work, we propose a novel method for generating inter-lingual document representations using neural network concept compression. The presented approach is intended to improve the quality of content-based multilingual document recommendation an... Read More about NCC: Neural concept compression for multilingual document recommendation.