Wykaz publikacji wybranego autora

Patryk Orzechowski, dr inż.

adiunkt

Wydział Elektrotechniki, Automatyki, Informatyki i Inżynierii Biomedycznej
WEAIiIB-kair, Katedra Automatyki i Robotyki

  • 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
  • A novel approach to computer aided analysis of human serum proteins chromatoelectrophoresis
3
  • Artificial intelligence for COVID-19 detection in medical imaging – diagnostic measures and wasting – a systematic umbrella review
4
  • Assessment of the ergonomic of Polish major news portals based on analysis of people's behaviour while they are browsing for information
5
  • Automated affect and emotion recognition from cardiovascular signals – a systematic overview of the field
6
  • Benchmarking manifold learning methods on a large collection of datasets
7
  • Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure
8
  • EBIC: a scalable biclustering method for large scale data analysis
9
  • EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery
10
  • EBIC: an open source software for high-dimensional and big data analyses
11
  • EBIC.JL - an efficient implementation of evolutionary biclustering algorithm in Julia
12
  • Effective biclustering on GPU - capabilities and constraints
13
  • Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers
14
  • Genetic programming benchmarks: looking back and looking forward
15
  • Hybrid biclustering algorithms [Dokument elektroniczny]
16
  • Hybrid biclustering algorithms for data mining
17
  • Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III critical care database
18
  • Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data?
19
  • Parallel approach for visual clustering of protein databases
20
  • Parallel approach for visualizing protein databases
21
  • Personalized medicine
22
  • PMLB: a large benchmark suite for machine learning evaluation and comparison
23
  • Propagation-based biclustering algorithm for extracting inclusion-maximal motifs
24
  • Proximity measures and results validation in biclustering – a survey
25
  • QtBiVis: a software toolbox for visual analysis of biclustering experiment