Wykaz publikacji wybranego autora

Patryk Orzechowski, dr inż.

adiunkt

Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering
WEAIiIB-kair

  • 2018

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / informatyka techniczna i telekomunikacja

    [dyscyplina 2] dziedzina nauk inżynieryjno-technicznych / inżynieria biomedyczna (25%)

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

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0003-3578-9809 orcid iD

ResearcherID: brak

Scopus: 55860145600

PBN: 5e70922c878c28a0473911ac

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark
2
  • Automated affect and emotion recognition from cardiovascular signals – a systematic overview of the field
3
  • Benchmarking manifold learning methods on a large collection of datasets
4
  • Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure
5
  • EBIC: a scalable biclustering method for large scale data analysis
6
  • EBIC.JL - an efficient implementation of evolutionary biclustering algorithm in Julia
7
  • Hybrid biclustering algorithms for data mining
8
  • Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III critical care database
9
  • Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data?
10
  • Parallel approach for visualizing protein databases
11
  • Proximity measures and results validation in biclustering – a survey
12
  • QtBiVis: a software toolbox for visual analysis of biclustering experiment
13
  • Rapid prototyping of evolution-driven biclustering methods in Julia
14
  • Retrieving impressions from semantic memory modeled with associative pulsing neural networks
15
  • Rough assessment of GPU capabilities for parallel PCC-based biclustering method applied to microarray datasets
16
  • Socio-cognitive evolution strategies
17
  • Strategies for improving performance of evolutionary biclustering algorithm EBIC
18
  • Text mining with hybrid biclustering algorithms