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researcher

Tomasz Szandala

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • cs.SE1
same name
  • Tomasz Szandala — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedLarge Language Models Versus Static Code Analysis Tools: A Systematic Benchmark for Vulnerability Detection

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.SE2025★ 1 cited

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-…

cs.CV2021

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…

cs.LG2020

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.