Wykaz publikacji wybranego autora

Piotr Andrzej Kowalski, dr hab. inż., prof. AGH

profesor nadzwyczajny

Wydział Fizyki i Informatyki Stosowanej
WFiIS-kis, Katedra Informatyki Stosowanej i Fizyki Komputerowej

  • 2018

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

Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0003-4041-6900 orcid iD

ResearcherID: L-7874-2013

Scopus: 56005383000

PBN: 5e70927a878c28a04739672b

OPI Nauka Polska

System Informacyjny AGH (SkOs)

1
  • A database performance polynomial multiple regression model
2
  • A metaheuristic for classification of interval data in changing environments
3
  • A new particle swarm optimisation based memetic procedure for fuzzy J-K flop neural networks learning
4
  • Analysis and identification of forensic events using non-parametric density estimation
5
  • CITCEP 2015 [Dokument elektroniczny]
6
  • Clustering based on the Krill Herd Algorithm with selected validity measures
7
  • Clustering using flower pollination algorithm and Calinski-Harabasz Index
8
  • Clustering with nature-inspired metaheuristics
9
  • Comparison of Krill Herd Algorithm and Flower Pollination Algorithm in clustering task
10
  • Contemporary computational science [Dokument elektroniczny]
11
  • Convolutional neural networks in the ovarian cancer detection
12
  • Crow Search Algorithm for continuous optimization tasks
13
  • Data clustering with Grasshopper Optimization Algorithm
14
  • Deep learning for porous media classification based on micro-CT images
15
  • Determining the significance of features with the use of Sobol method in probabilistic neural network classification tasks
16
  • Discrimination of wheat grain varieties using X-ray images
17
  • Efficient astronomical data condensation using approximate nearest neighbors
18
  • Efficient astronomical data condensation using fast nearest neighbors search
19
  • Estimation of atmospheric boundary layer values in the context of the daily prediction of PM10 air pollution
20
  • Feature selection for regression tasks base on explainable artificial intelligence procedures
21
  • Image enhancement with applications in biomedical processing
22
  • Image Enhancement with Applications in Biomedical Processing
23
  • Increasing the speed of the Krill Herd Algorithm through parallelization
24
  • Information technology and computational physics
25
  • Machine learning techniques for explaining air pollution prediction