Wykaz publikacji wybranego autora

Marcin Kurdziel, dr hab. inż., prof. AGH

profesor nadzwyczajny

Faculty of Computer Science
WI-ii


  • 2018

    [dyscyplina 1] dziedzina nauk ścisłych i przyrodniczych / informatyka

    [dyscyplina 2] dziedzina nauk inżynieryjno-technicznych / informatyka techniczna i telekomunikacja (50%)


[poprzednia klasyfikacja] obszar nauk technicznych / dziedzina nauk technicznych / informatyka


Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0003-2022-7424 orcid iD

ResearcherID: brak

Scopus: 10641814700

PBN: 5e70922c878c28a04739117b

OPI Nauka Polska

System Informacyjny AGH (SkOs)




1
  • A Bayesian nonparametrics view into deep representations
2
  • A concept of a monitoring infrastructure for workflow-based Grid applications
3
  • Active safety for individual and connected vehicles using mobile phone only
4
  • Approximate clustering of noisy biomedical data
5
  • Binary paragraph vectors
6
  • Dense affinity propagation on clusters of GPUs
7
  • Disambiguated skip-gram model
8
  • Driver profiling by using LSTM networks with Kalman filtering
9
  • Effective car collision detection with mobile phone only
10
  • Implementing deep learning algorithms on graphics processor units
11
  • Implementing deep learning algorithms on graphics processor units
12
  • Komputerowe metody detekcji nowotworów piersi w zdjęciach mammograficznych
13
  • Monte Carlo winning tickets
14
  • Neural representations reveal distinct modes of class fitting in residual convolutional networks
15
  • Parallel algorithms for large simulations of fluids with smoothed dissipative particle dynamics
16
  • Parallel clustering of large-scale noisy multidimensional data sets
17
  • Performance evaluation and monitoring of interactive Grid applications
18
  • Performance measurement model in the G-PM tool
19
  • Performance measurements for interactive applications in CrossGrid
20
  • Prediction of the facial growth direction: regression perspective
21
  • Random projection initialization for deep neural networks
22
  • Recognition of subtle microcalcifications in high-resolution mammograms
23
  • Support for user-defined metrics in the online performance analysis tool G-PM
24
  • The G-PM performance measurement tool for interactive Grid applications
25
  • The G-PM tool for Grid-oriented performance analysis