Witold Dzwinel

About Witold Dzwinel

Witold Dzwinel, With an exceptional h-index of 27 and a recent h-index of 11 (since 2020), a distinguished researcher at Akademia Górniczo-Hutnicza, specializes in the field of computer modeling, machine learning, pattern recognition, bioinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

What Will Happen When We Radically Simplify t-SNE and UMAP Visualization Algorithms? Is It Worth Doing So?

Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab

Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction

Tuning three-dimensional tumor progression simulations on a cluster of GPGPUs

Supermodeling, a convergent data assimilation meta-procedure used in simulation of tumor progression

SUPERMODELING IN COMPUTER SIMULATION OF CANCER DYNAMICS

Current trends in software engineering bachelor theses

Supermodeling-a meta-procedure for data assimilation and parameters estimation

Witold Dzwinel Information

University

Position

___

Citations(all)

2334

Citations(since 2020)

450

Cited By

2058

hIndex(all)

27

hIndex(since 2020)

11

i10Index(all)

54

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Witold Dzwinel Skills & Research Interests

computer modeling

machine learning

pattern recognition

bioinformatics

Top articles of Witold Dzwinel

Title

Journal

Author(s)

Publication Date

What Will Happen When We Radically Simplify t-SNE and UMAP Visualization Algorithms? Is It Worth Doing So?

Bartosz Minch

Radosław Łazarz

Witold Dzwinel

2023/6/26

Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab

arXiv preprint arXiv:2310.03755

Paweł Maczuga

Maciej Skoczeń

Przemysław Rożnawski

Filip Tłuszcz

Marcin Szubert

...

2023/9/24

Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction

Computers & Mathematics with Applications

Tomasz Służalec

Rafał Grzeszczuk

Sergio Rojas

Witold Dzwinel

Maciej Paszyński

2023/7/15

Tuning three-dimensional tumor progression simulations on a cluster of GPGPUs

Journal of Computational and Applied Mathematics

Leszek Siwik

Marcin Łoś

Adrian Kłusek

Anna Paszyńska

Keshav Pingali

...

2022/10/1

Supermodeling, a convergent data assimilation meta-procedure used in simulation of tumor progression

Computers & Mathematics with Applications

Maciej Paszyński

Leszek Siwik

Witold Dzwinel

Keshav Pingali

2022/5/1

SUPERMODELING IN COMPUTER SIMULATION OF CANCER DYNAMICS

Adrian Kłusek

Witold Dzwinel

2021/3/1

Current trends in software engineering bachelor theses

Computing and Informatics

Jacek Dajda

Micha l Idzik

Jakub Sroka

Miko laj Sikora

Filip Slazyk

...

2021/1/1

Supermodeling-a meta-procedure for data assimilation and parameters estimation

Leszek Siwik

Marcin Łoś

Witold Dzwinel

2021

Supermodeling in predictive diagnostics of cancer under treatment

Computers in Biology and Medicine

Witold Dzwinel

Adrian Kłusek

Leszek Siwik

2021/10/1

Corrosion detection on aircraft fuselage with multi-teacher knowledge distillation

Konrad Zuchniak

Witold Dzwinel

Emilia Majerz

Aleksandra Pasternak

Krzysztof Dragan

2021/6/9

SuperNet--An efficient method of neural networks ensembling

arXiv preprint arXiv:2003.13021

Ludwik Bukowski

Witold Dzwinel

2020/3/29

Supermodeling: the next level of abstraction in the use of data assimilation

Marcin Sendera

Gregory S Duane

Witold Dzwinel

2020

GPU-embedding of kNN-graph representing large and high-dimensional data

Bartosz Minch

Mateusz Nowak

Rafał Wcisło

Witold Dzwinel

2020/6/3

Community Aware Models of Meme Spreading in Micro-blog Social Networks

Mikołaj Kromka

Wojciech Czech

Witold Dzwinel

2020/6/3

See List of Professors in Witold Dzwinel University(Akademia Górniczo-Hutnicza)

Co-Authors

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