Dane kontaktowe:
Pokój: 518
Stanowisko:
Asystent
Zespoły badawcze:
Nowe systemy głębokiego uczenia i ich zastosowania
Prowadzone zajęcia:
Systemy operacyjne lab
Optymalizacja stron internetowych lab
Nierelacyjne bazy danych i usługi integracyjne lab
Aplikacje WWW lab
mgr inż.
Katarzyna Nieszporek
Konsultacje: Wtorek: 10:00-12:00; Czwartek: 17:45-19:00
Materiały do zajęć dydaktycznych:
Publikacje (6)
2019 (4)
Starczewski J.T., Nowicki R.K., Nieszporek K., Fuzzy-rough fuzzification in general FL classifiers. (3)
Fuzzy-rough fuzzification in general FL classifiers
, Fuzzy-rough fuzzification in general FL classifiers, IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence, 335-342, 2019, Liczba cytowań: 3
Wrobel M., Starczewski J.T., Nieszporek K., Opielka P., Kazmierczak A., A greedy algorithm for extraction of handwritten strokes. (2)
A greedy algorithm for extraction of handwritten strokes
, A greedy algorithm for extraction of handwritten strokes, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 464-473, 2019, Liczba cytowań: 2
Opielka P., Starczewski J.T., Wrobel M., Nieszporek K., Marchlewska A., Application of Spiking Neural Networks to Fashion Classification. (2)
Application of Spiking Neural Networks to Fashion Classification
, Application of Spiking Neural Networks to Fashion Classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 172-180, 2019, Liczba cytowań: 2
Starczewski J.T., Nowicki R.K., Nieszporek K., Fuzzy–rough Fuzzification in General FL Classifiers. (0)
Fuzzy–rough Fuzzification in General FL Classifiers
, Fuzzy–rough Fuzzification in General FL Classifiers, International Joint Conference on Computational Intelligence, 1, 1, 335-342, 2019, Liczba cytowań: 02018 (2)
Starczewski J.T., Nieszporek K., Wrobel M., Grzanek K., A fuzzy SOM for understanding incomplete 3D faces. (4)
A fuzzy SOM for understanding incomplete 3D faces
, A fuzzy SOM for understanding incomplete 3D faces, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 73-80, 2018, Liczba cytowań: 4
Wrobel M., Nieszporek K., Starczewski J.T., Cader A., A fuzzy measure for recognition of handwritten letter strokes. (6)
