Relation Order Histograms as a Network Embedding Tool Radosław Łazarz, Michał Idzik Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2021
Elitism in Multiobjective Hierarchical Strategy Michał Idzik, Radosław Łazarz, Aleksander Byrski Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2021
Prediction of casting mechanical parameters based on direct microstructure image analysis using deep neural network and graphite forms classification B Sniezynski, D Wilk-Kolodziejczyk, R Łazarz, K Jaskowiec International Conference on Computational Science, 522-534 , 2023 2023.0 Citations: 2
What will happen when we radically simplify T-SNE and UMAP visualization algorithms? Is it worth doing so? B Minch, R Łazarz, W Dzwinel International Conference on Computational Science, 238-246 , 2023 2023.0 Citations: 1
Semantic analysis of multidimensional graph descriptors with applications for structural data mining R Łazarz 2022.0
Elitism in Multiobjective Hierarchical Strategy M Idzik, R Łazarz, A Byrski International Conference on Computational Science, 214-228 , 2021 2021.0
Relation order histograms as a network embedding tool R Łazaz, M Idzik International Conference of Computational Science 2021 , 2021 2021.0 Citations: 4
Automatic Extraction of Leaf Venation Complex Networks M Rapacz, R Łazarz 24th European Conference on Artificial Intelligence , 2020 2020.0 Citations: 6
A method of analysis and visualization of structured datasets based on centrality information W Czech, R Łazarz International Conference on Artificial Intelligence and Soft Computing, 429-441 , 2016 2016.0 Citations: 6
Hierarchic Genetic Strategy with maturing as a generic tool for Multiobjective Optimization R Łazarz, M Idzik, K Gądek, E Gajda-Zagórska Journal of Computational Science , 2016 2016.0 Citations: 9
Graph-based framework for 3-D vascular dynamics simulation R Łazarz Procedia Computer Science 101, 416-424 , 2016 2016.0 Citations: 10
Challenges in 3-D simulation of vascular graph remodelling R Łazarz Cracow Grid Workshop, 81–82 , 2016 2016.0
Utilising distance k-graph vertex feature histograms for structural data analysis R Łazarz, W Czech Cracow Grid Workshop, 119–120 , 2015 2015.0
Graph invariants in analysis of complex networks R Łazarz AGH University of Science and Technology , 2014 2014.0
Usprawnienie przetwarzania danych w eksperymentach fizyki wysokich energii poprzez opracowanie systemu wysyłającego zadania obliczeniowe na klaster i zarządzającego procesem … R Łazarz, I Jurkowski
Usprawnienie przetwarzania danych w eksperymentach fizyki wysokich energii poprzez opracowanie systemu wysyłającego zadania obliczeniowe na klaster i zarządzającego procesem … I Jurkowski, R Łazarz
Algorytmy Selekcji Obrazu na Podstawie Danego Wzoru I Jurkowski, R Łazarz
MOST CITED SCHOLAR PUBLICATIONS
Graph-based framework for 3-D vascular dynamics simulation R Łazarz Procedia Computer Science 101, 416-424 , 2016 2016.0 Citations: 10
Hierarchic Genetic Strategy with maturing as a generic tool for Multiobjective Optimization R Łazarz, M Idzik, K Gądek, E Gajda-Zagórska Journal of Computational Science , 2016 2016.0 Citations: 9
Automatic Extraction of Leaf Venation Complex Networks M Rapacz, R Łazarz 24th European Conference on Artificial Intelligence , 2020 2020.0 Citations: 6
A method of analysis and visualization of structured datasets based on centrality information W Czech, R Łazarz International Conference on Artificial Intelligence and Soft Computing, 429-441 , 2016 2016.0 Citations: 6
Relation order histograms as a network embedding tool R Łazaz, M Idzik International Conference of Computational Science 2021 , 2021 2021.0 Citations: 4
Prediction of casting mechanical parameters based on direct microstructure image analysis using deep neural network and graphite forms classification B Sniezynski, D Wilk-Kolodziejczyk, R Łazarz, K Jaskowiec International Conference on Computational Science, 522-534 , 2023 2023.0 Citations: 2
What will happen when we radically simplify T-SNE and UMAP visualization algorithms? Is it worth doing so? B Minch, R Łazarz, W Dzwinel International Conference on Computational Science, 238-246 , 2023 2023.0 Citations: 1
Semantic analysis of multidimensional graph descriptors with applications for structural data mining R Łazarz 2022.0
Elitism in Multiobjective Hierarchical Strategy M Idzik, R Łazarz, A Byrski International Conference on Computational Science, 214-228 , 2021 2021.0
Challenges in 3-D simulation of vascular graph remodelling R Łazarz Cracow Grid Workshop, 81–82 , 2016 2016.0
Utilising distance k-graph vertex feature histograms for structural data analysis R Łazarz, W Czech Cracow Grid Workshop, 119–120 , 2015 2015.0
Graph invariants in analysis of complex networks R Łazarz AGH University of Science and Technology , 2014 2014.0
Usprawnienie przetwarzania danych w eksperymentach fizyki wysokich energii poprzez opracowanie systemu wysyłającego zadania obliczeniowe na klaster i zarządzającego procesem … R Łazarz, I Jurkowski
Usprawnienie przetwarzania danych w eksperymentach fizyki wysokich energii poprzez opracowanie systemu wysyłającego zadania obliczeniowe na klaster i zarządzającego procesem … I Jurkowski, R Łazarz
Algorytmy Selekcji Obrazu na Podstawie Danego Wzoru I Jurkowski, R Łazarz
