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)





Liczba pozycji spełniających powyższe kryteria selekcji: 60, z ogólnej liczby 60 publikacji Autora


1
  • A complete algorithm for the reduction of pattern data in the classification of interval information
2
  • A database performance polynomial multiple regression model
3
  • A metaheuristic for classification of interval data in changing environments
4
  • A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks
5
  • A new particle swarm optimisation based memetic procedure for fuzzy J-K flop neural networks learning
6
7
  • Analysis and identification of forensic events using non-parametric density estimation
8
9
  • Bayes classification for nonstationary patterns
10
  • Choice of the $p$-norm for high level classification features pruning in modern convolutional neural networks with local sensitivity analysis
11
  • CITCEP 2015 [Dokument elektroniczny]
12
  • Clustering based on the Krill Herd Algorithm with selected validity measures
13
  • Clustering using flower pollination algorithm and Calinski-Harabasz Index
14
  • Clustering with nature-inspired algorithm based on territorial behavior of predatory animals
15
  • Clustering with nature-inspired metaheuristics
16
  • Comparison of Krill Herd Algorithm and Flower Pollination Algorithm in clustering task
17
  • Contemporary computational science [Dokument elektroniczny]
18
  • Convolutional neural networks in the ovarian cancer detection
19
  • Crow Search Algorithm for continuous optimization tasks
20
  • Data clustering with Grasshopper Optimization Algorithm
21
  • Deep learning for porous media classification based on micro-CT images
22
  • Determining the significance of features with the use of Sobol method in probabilistic neural network classification tasks
23
  • Discrimination of wheat grain varieties using X-ray images
24
  • Efficient astronomical data condensation using approximate nearest neighbors
25
  • Efficient astronomical data condensation using approximate nearest neighbors