31 citations · 41 across the 6 of their papers we have counts for
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cs.LG2023★ 1 cited
Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features
Igor Cherepanov, David Sessler, Alex Ulmer +2
Deep learning (DL) models achieve remarkable performance in classification tasks. However, models with high complexity can not be used in many risk-sensitive applications unless a…
cs.IR2023
Extension of Dictionary-Based Compression Algorithms for the Quantitative Visualization of Patterns from Log Files
Igor Cherepanov, Jonathan Geraldi Joewono, Arjan Kuijper +1
Many services today massively and continuously produce log files of different and varying formats. These logs are important since they contain information about the application act…