Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Let's Penetrate the Defense: A Machine Learning Model for Prediction and ..."

Pegah Rahimian et al. (2022)

> Home

Details and statistics

DOI: 10.1007/978-3-031-27527-2_4

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/pkdd/RahimianGBT22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/pkdd/RahimianGBT22
Pegah Rahimian, Dayana Grayce da Silva Guerra Gomes, Fanni Berkovics, László Toka:
Let's Penetrate the Defense: A Machine Learning Model for Prediction and Valuation of Penetrative Passes. MLSA@PKDD/ECML 2022: 41-52

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.