Łukasz Struski

About Łukasz Struski

Łukasz Struski, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Uniwersytet Jagiellonski, specializes in the field of deep learning, machine learning, clustering, learning from missing data.

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

Multiple instance learning for medical image classification based on instance importance

Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations

Efficient GPU implementation of randomized SVD and its applications

Decoding phenotypic screening: A comparative analysis of image representations

SONGs: Self-Organizing Neural Graphs

MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy

ProPML: Probability Partial Multi-label Learning

Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models

Łukasz Struski Information

University

Position

___

Citations(all)

532

Citations(since 2020)

518

Cited By

110

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Łukasz Struski Skills & Research Interests

deep learning

machine learning

clustering

learning from missing data

Top articles of Łukasz Struski

Title

Journal

Author(s)

Publication Date

Multiple instance learning for medical image classification based on instance importance

Biomedical Signal Processing and Control

Łukasz Struski

Szymon Janusz

Jacek Tabor

Michał Markiewicz

Arkadiusz Lewicki

2024/5/1

Interpretability benchmark for evaluating spatial misalignment of prototypical parts explanations

Proceedings of the AAAI Conference on Artificial Intelligence

Mikołaj Sacha

Bartosz Jura

Dawid Rymarczyk

Łukasz Struski

Jacek Tabor

...

2024/3/24

Efficient GPU implementation of randomized SVD and its applications

Expert Systems with Applications

Łukasz Struski

Paweł Morkisz

Przemysław Spurek

Samuel Rodriguez Bernabeu

Tomasz Trzciński

2024/2/14

Decoding phenotypic screening: A comparative analysis of image representations

Computational and Structural Biotechnology Journal

Adriana Borowa

Dawid Rymarczyk

Marek Żyła

Maciej Kańdula

Ana Sánchez-Fernández

...

2024/12/1

SONGs: Self-Organizing Neural Graphs

Łukasz Struski

Tomasz Danel

Marek Śmieja

Jacek Tabor

Bartosz Zieliński

2023

MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy

arXiv preprint arXiv:2311.03884

Łukasz Struski

Tomasz Urbańczyk

Krzysztof Bucki

Bartłomiej Cupiał

Aneta Kaczyńska

...

2023/11/7

ProPML: Probability Partial Multi-label Learning

Łukasz Struski

Adam Pardyl

Jacek Tabor

Bartosz Zieliński

2023/10/9

Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models

IEEE Transactions on Neural Networks and Learning Systems

Łukasz Struski

Michał Sadowski

Tomasz Danel

Jacek Tabor

Igor T Podolak

2023/3/10

r-softmax: Generalized Softmax with Controllable Sparsity Rate

Klaudia Bałazy

Łukasz Struski

Marek Śmieja

Jacek Tabor

2023/6/26

Protoseg: Interpretable semantic segmentation with prototypical parts

Mikołaj Sacha

Dawid Rymarczyk

Łukasz Struski

Jacek Tabor

Bartosz Zieliński

2023

Hyperpocket: Generative point cloud completion

Przemysław Spurek

Artur Kasymov

Marcin Mazur

Diana Janik

Slawomir K Tadeja

...

2022/10/23

Bounding evidence and estimating log-likelihood in vae

arXiv preprint arXiv:2206.09453

Łukasz Struski

Marcin Mazur

Paweł Batorski

Przemysław Spurek

Jacek Tabor

2022/6/19

Propall: Probabilistic partial label learning

arXiv preprint arXiv:2208.09931

Łukasz Struski

Jacek Tabor

Bartosz Zieliński

2022/8/21

Głębokie uczenie: wprowadzenie

Jacek Tabor

Marek Śmieja

Łukasz Struski

Przemysław Spurek

Maciej Wołczyk

2022

Neural spatio-temporal patterns of information processing related to cognitive conflict and correct or false recognitions

Scientific Reports

Romuald A Janik

Igor T Podolak

Łukasz Struski

Anna Ceglarek

Koryna Lewandowska

...

2022/3/28

Interpretable image classification with differentiable prototypes assignment

Dawid Rymarczyk

Łukasz Struski

Michał Górszczak

Koryna Lewandowska

Jacek Tabor

...

2022/10/23

Locogan—locally convolutional gan

Computer Vision and Image Understanding

Łukasz Struski

Szymon Knop

Przemysław Spurek

Wiktor Daniec

Jacek Tabor

2022/8/1

Misconv: Convolutional neural networks for missing data

Marcin Przewięźlikowski

Marek Śmieja

Łukasz Struski

Jacek Tabor

2022

Virtual reality-based parallel coordinates plots enhanced with explainable ai and data-science analytics for decision-making processes

Applied Sciences

Szymon Bobek

Sławomir K. Tadeja

Łukasz Struski

Przemysław Stachura

Timoleon Kipouros

...

2022

Protopshare: Prototypical parts sharing for similarity discovery in interpretable image classification

Dawid Rymarczyk

Łukasz Struski

Jacek Tabor

Bartosz Zieliński

2021/8/14

See List of Professors in Łukasz Struski University(Uniwersytet Jagiellonski)

Co-Authors

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