132 citations · 133 across the 4 of their papers we have counts for
4 papers
Quantile-Based Skewness for Fuzzy Numbers with Probabilistic Foundations: With an Application in Portfolio Optimization
Jan Schneider, Kaja Bilińska, Paul Schneider +1
This paper introduces a novel parameter free skewness coefficient for fuzzy numbers, addressing a critical gap in quantifying asymmetry under imprecision. Existing fuzzy literature…
Large Language Models Versus Static Code Analysis Tools: A Systematic Benchmark for Vulnerability Detection
Damian Gnieciak, Tomasz Szandala
Modern software relies on a multitude of automated testing and quality assurance tools to prevent errors, bugs and potential vulnerabilities. This study sets out to provide a head-…
TorchPRISM: Principal Image Sections Mapping, a novel method for Convolutional Neural Network features visualization
Tomasz Szandala
In this paper we introduce a tool called Principal Image Sections Mapping - PRISM, dedicated for PyTorch, but can be easily ported to other deep learning frameworks. Presented soft…
Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks
Tomasz Szandała
The primary neural networks decision-making units are activation functions. Moreover, they evaluate the output of networks neural node; thus, they are essential for the performance…