Przemyslaw Biecek

University of Warsaw

Poland

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Articles (15)

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (17)

Jakub Smiechowicz

POLAND

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Monika Długosz-Danecka

Professor

Maria Sklodowska-Curie National Research Institute of Oncology

POLAND

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Grzegorz Władysław Basak

University Clinical Centre

POLAND

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Pawel Karpinski

Wroclaw Medical University

POLAND

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Artur Kowalik

Professor

Jan Kochanowski University

POLAND

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Piotr Donizy

Wroclaw Medical University

POLAND

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Antonina Mazur

Assistant Professor

Wroclaw University of Science and Technology

POLAND

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Maria Sasiadek

Prof.

POLAND

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Michael Bücker

Professor

Munich University of Applied Sciences

GERMANY

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Julian Sienkiewicz

Assistant Professor

University of Warsaw

POLAND

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Joanna Drozd-Sokołowska

Medical University of Warsaw

POLAND

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Aleksander Salomon-Perzyński

Instytut Hematologii i Transfuzjologii

POLAND

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Gero Szepannek

Professor

Hochschule Stralsund

GERMANY

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Barbara Adamik

associate professor

Uniwersytet Medyczny im Piastów Śląskich we Wrocławiu

POLAND

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Anna Lemańska-Perek

Wroclaw Medical University

POLAND

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Dianne Cook

Distinguished Professor

MONASH UNIVERSITY

AUSTRALIA

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Joanna Barankiewicz

Instytut Hematologii i Transfuzjologii

POLAND

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Przemyslaw Biecek

Research Interests

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Articles (15)

Co-Targeting of DTYMK and PARP1 as a Potential Therapeutic Approach in Uveal Melanoma

Big Tech influence over AI research revisited: Memetic analysis of attribution of ideas to affiliation

Performance Is Not Enough: The Story Told by a Rashomon Quartet

Adversarial attacks and defenses in explainable artificial intelligence: A survey

Citrulline, Intestinal Fatty Acid-Binding Protein and the Acute Gastrointestinal Injury Score as Predictors of Gastrointestinal Failure in Patients with Sepsis and Septic Shock

The grammar of interactive explanatory model analysis

SurvSHAP(t): Time-dependent explanations of machine learning survival models

SARS-CoV-2 Infection in Patients Treated with Azacitidine and Venetoclax for Acute Leukemia: A Report of a Case Series Treated in a Single Institution

survex: an R package for explaining machine learning survival models

Bing-Neel Syndrome, a Rare Presentation of Waldenström Macroglobulinemia—A Multicenter Report by the Polish Lymphoma Research Group

Transparency, auditability, and explainability of machine learning models in credit scoring

Machine learning models demonstrate that clinicopathologic variables are comparable to gene expression prognostic signature in predicting survival in uveal melanoma

Explainable Machine Learning for Lung Cancer Screening Models

Alpha-Enolase (ENO1) Correlates with Invasiveness of Cutaneous Melanoma—An In Vitro and a Clinical Study

Salvage autologous hematopoietic stem cell transplantation for multiple myeloma performed with stem cells procured after previous high dose therapy – a multicenter report by the Polish Myeloma Study Group

Collaborators (17)

Jakub Smiechowicz

Monika Długosz-Danecka

Grzegorz Władysław Basak

Pawel Karpinski

Artur Kowalik

Piotr Donizy

Antonina Mazur

Maria Sasiadek

Michael Bücker

Julian Sienkiewicz

Joanna Drozd-Sokołowska

Aleksander Salomon-Perzyński

Gero Szepannek

Barbara Adamik

Anna Lemańska-Perek

Dianne Cook

Joanna Barankiewicz

Make your next move.

Przemyslaw Biecek

Research Interests

Explore related searches

Contact this professor

Articles (15)

Co-Targeting of DTYMK and PARP1 as a Potential Therapeutic Approach in Uveal Melanoma

Big Tech influence over AI research revisited: Memetic analysis of attribution of ideas to affiliation

Performance Is Not Enough: The Story Told by a Rashomon Quartet

Adversarial attacks and defenses in explainable artificial intelligence: A survey

Citrulline, Intestinal Fatty Acid-Binding Protein and the Acute Gastrointestinal Injury Score as Predictors of Gastrointestinal Failure in Patients with Sepsis and Septic Shock

The grammar of interactive explanatory model analysis

SurvSHAP(t): Time-dependent explanations of machine learning survival models

SARS-CoV-2 Infection in Patients Treated with Azacitidine and Venetoclax for Acute Leukemia: A Report of a Case Series Treated in a Single Institution

survex: an R package for explaining machine learning survival models

Bing-Neel Syndrome, a Rare Presentation of Waldenström Macroglobulinemia—A Multicenter Report by the Polish Lymphoma Research Group

Transparency, auditability, and explainability of machine learning models in credit scoring

Machine learning models demonstrate that clinicopathologic variables are comparable to gene expression prognostic signature in predicting survival in uveal melanoma

Explainable Machine Learning for Lung Cancer Screening Models

Alpha-Enolase (ENO1) Correlates with Invasiveness of Cutaneous Melanoma&mdash;An In Vitro and a Clinical Study

Salvage autologous hematopoietic stem cell transplantation for multiple myeloma performed with stem cells procured after previous high dose therapy – a multicenter report by the Polish Myeloma Study Group

Collaborators (17)

Jakub Smiechowicz

Monika Długosz-Danecka

Grzegorz Władysław Basak

Pawel Karpinski

Artur Kowalik

Piotr Donizy

Antonina Mazur

Maria Sasiadek

Michael Bücker

Julian Sienkiewicz

Joanna Drozd-Sokołowska

Aleksander Salomon-Perzyński

Gero Szepannek

Barbara Adamik

Anna Lemańska-Perek

Dianne Cook

Joanna Barankiewicz

Make your next move.

Alpha-Enolase (ENO1) Correlates with Invasiveness of Cutaneous Melanoma—An In Vitro and a Clinical Study