Przemyslaw Biecek

Przemyslaw Biecek

Uniwersytet Warszawski

H-index: 35

Europe-Poland

About Przemyslaw Biecek

Przemyslaw Biecek, With an exceptional h-index of 35 and a recent h-index of 29 (since 2020), a distinguished researcher at Uniwersytet Warszawski, specializes in the field of Explainable Artificial Intelligence.

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

Predicting acute kidney injury onset using a random forest algorithm using electronic medical records of COVID-19 patients: the CRACoV-AKI model.

Global Counterfactual Directions

Exploring the impact of sequence context on errors in SNP genotype calling with Whole Genome Sequencing data using AI-based autoencoder approach

Exploring local explanations of nonlinear models using animated linear projections

Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI

CNN-based explanation ensembling for dataset, representation and explanations evaluation

NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques

Explain to Question not to Justify

Przemyslaw Biecek Information

University

Position

___

Citations(all)

6323

Citations(since 2020)

5301

Cited By

2338

hIndex(all)

35

hIndex(since 2020)

29

i10Index(all)

92

i10Index(since 2020)

70

Email

University Profile Page

Uniwersytet Warszawski

Google Scholar

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Przemyslaw Biecek Skills & Research Interests

Explainable Artificial Intelligence

Top articles of Przemyslaw Biecek

Title

Journal

Author(s)

Publication Date

Predicting acute kidney injury onset using a random forest algorithm using electronic medical records of COVID-19 patients: the CRACoV-AKI model.

Polish Archives of Internal Medicine

Katarzyna Krzanowska

Krzysztof Batko

Karolina Niezabitowska

Katarzyna Woźnica

Tomasz Grodzicki

...

2024/3/14

Global Counterfactual Directions

arXiv preprint arXiv:2404.12488

Bartlomiej Sobieski

Przemysław Biecek

2024/4/18

Exploring the impact of sequence context on errors in SNP genotype calling with Whole Genome Sequencing data using AI-based autoencoder approach

bioRxiv

Krzysztof Kotlarz

Magda Mielczarek

Przemyslaw Biecek

Bernt Guldbrandtsen

Joanna Szyda

2024

Exploring local explanations of nonlinear models using animated linear projections

Computational Statistics

Nicholas Spyrison

Dianne Cook

Przemyslaw Biecek

2024/1/31

Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI

arXiv preprint arXiv:2403.08017

Vladimir Zaigrajew

Hubert Baniecki

Lukasz Tulczyjew

Agata M Wijata

Jakub Nalepa

...

2024/3/12

CNN-based explanation ensembling for dataset, representation and explanations evaluation

arXiv preprint arXiv:2404.10387

Weronika Hryniewska-Guzik

Luca Longo

Przemysław Biecek

2024/4/16

NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques

arXiv preprint arXiv:2401.17200

Weronika Hryniewska-Guzik

Bartosz Sawicki

Przemysław Biecek

2024/1/30

Explain to Question not to Justify

arXiv preprint arXiv:2402.13914

Przemyslaw Biecek

Wojciech Samek

2024/2/21

A comparative analysis of deep learning models for lung segmentation on X-ray images

Nona Zarima

Kahlil Muchtar

Akhyar Bintang

Maulisa Oktiana

Novi Maulina

2022/6/16

Antibody selection strategies and their impact in predicting clinical malaria based on multi-sera data

BioData Mining

André Fonseca

Mikolaj Spytek

Przemysław Biecek

Clara Cordeiro

Nuno Sepúlveda

2024/1/25

Adversarial attacks and defenses in explainable artificial intelligence: A survey

Hubert Baniecki

Przemyslaw Biecek

2024/2/19

Red-Teaming Segment Anything Model

Krzysztof Jankowski

Bartlomiej Sobieski

Mateusz Kwiatkowski

Jakub Szulc

Michal Janik

...

2024/4/2

An Explainable Deep Learning Classifier of Bovine Mastitis Based on Whole-Genome Sequence Data—Circumventing the p>> n Problem

bioRxiv

K Kotlarz

M Mielczarek

P Biecek

K Wojdak-Maksymiec

T Suchocki

...

2023/3/24

Artificial Intelligence. ECAI 2023 International Workshops: XAI^ 3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30–October 4, 2023 …

Sławomir Nowaczyk

Przemysław Biecek

Neo Christopher Chung

Mauro Vallati

Paweł Skruch

...

2024/1/20

Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography

arXiv preprint arXiv:2402.11510

Przemysław Bombiński

Patryk Szatkowski

Bartłomiej Sobieski

Tymoteusz Kwieciński

Szymon Płotka

...

2024/2/18

Interpretable Machine Learning for Survival Analysis

Sophie Hanna Langbein

Mateusz Krzyziński

Mikołaj Spytek

Hubert Baniecki

Przemysław Biecek

...

2024/3/15

Resistance Against Manipulative AI: key factors and possible actions

arXiv preprint arXiv:2404.14230

Piotr Wilczyński

Wiktoria Mieleszczenko-Kowszewicz

Przemysław Biecek

2024/4/22

Deep spatial context: when attention-based models meet spatial regression

arXiv preprint arXiv:2401.10044

Paulina Tomaszewska

Elżbieta Sienkiewicz

Mai P Hoang

Przemysław Biecek

2024/1/18

Protect our environment from information overload

Nature Human Behaviour

Janusz A Hołyst

Philipp Mayr

Michael Thelwall

Ingo Frommholz

Shlomo Havlin

...

2024/2/7

Prognostic Role of Concomitant BAP1 and PRAME Expression in Uveal Melanomas

Piotr Donizy

Krzysztof W Kotowski

Anna Markiewicz

Mateusz Krzyzinski

Przemyslaw Biecek

...

2023

See List of Professors in Przemyslaw Biecek University(Uniwersytet Warszawski)

Co-Authors

H-index: 44
Jayanta K. Ghosh

Jayanta K. Ghosh

Purdue University

H-index: 33
P Mackiewicz

P Mackiewicz

Uniwersytet Wroclawski

H-index: 32
Jerzy Tiuryn

Jerzy Tiuryn

Uniwersytet Warszawski

H-index: 25
Malgorzata Bogdan

Malgorzata Bogdan

Uniwersytet Wroclawski

H-index: 23
Miroslaw Dudek

Miroslaw Dudek

Uniwersytet Zielonogórski

H-index: 23
Stanislaw Cebrat

Stanislaw Cebrat

Uniwersytet Wroclawski

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