Piotr Przymus at Uniwersytet Mikolaja Kopernika w Toruniu

University	Uniwersytet Mikolaja Kopernika w Toruniu
Position	___
Citations(all)	476
Citations(since 2020)	373
Cited By	157
hIndex(all)	10
hIndex(since 2020)	8
i10Index(all)	11
i10Index(since 2020)	7
Email	Access Email
University Profile Page	Uniwersytet Mikolaja Kopernika w Toruniu
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A toolbox of machine learning software to support microbiome analysis

2023/11/22

Thomas Klammsteiner

H-Index: 4

Piotr Przymus

H-Index: 5

Alexia Sampri

H-Index: 4

Marta B Lopes

H-Index: 12

Patrick May

H-Index: 36

Ines Thiele

H-Index: 43

Ciprian-Octavian Truică

H-Index: 7

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Frontiers in Microbiology

2023/9/25

Georgios Papoutsoglou

H-Index: 4

Aldert Zomer

H-Index: 27

Marta B Lopes

H-Index: 12

Aleksandra Gruca

H-Index: 7

Thomas Klammsteiner

H-Index: 4

Ciprian-Octavian Truică

H-Index: 7

Erik Bongcam-Rudloff

H-Index: 23

Piotr Przymus

H-Index: 5

Alexia Sampri

H-Index: 4

Gaetano Isola

H-Index: 32

The Secret Life of CVEs

2023/5/15

Piotr Przymus

H-Index: 5

Mikołaj Fejzer

H-Index: 3

Jakub Narębski

H-Index: 1

Krzysztof Stencel

H-Index: 8

Fast JSON parser using metaprogramming on GPU

2022/10/13

Krzysztof Kaczmarski

H-Index: 5

Jakub Narębski

H-Index: 1

Piotr Przymus

H-Index: 5

Tracking Buggy Files: New Efficient Adaptive Bug Localization Algorithm

IEEE Transactions on Software Engineering

2021/3/8

Mikołaj Fejzer

H-Index: 3

Jakub Narębski

H-Index: 1

Piotr Przymus

H-Index: 5

Krzysztof Stencel

H-Index: 8

Statistical and machine learning techniques in human microbiome studies: contemporary challenges and solutions

Frontiers in microbiology

2021/2/22

Thomas Klammsteiner

H-Index: 4

Marta B Lopes

H-Index: 12

Patrick May

H-Index: 36

Piotr Przymus

H-Index: 5

Alexia Sampri

H-Index: 4

Blaz Stres

H-Index: 18

Ciprian-Octavian Truică

H-Index: 7

David Gomez-Cabrero

H-Index: 22

Applications of machine learning in human microbiome studies: a review on feature selection, biomarker identification, disease prediction and treatment

2021/2/19

Piotr Przymus

H-Index: 5

Aleksandra Gruca

H-Index: 7

Thomas Klammsteiner

H-Index: 4

Marta B Lopes

H-Index: 12

Georgios Papoutsoglou

H-Index: 4

Blaz Stres

H-Index: 18

Ioannis Tsamardinos

H-Index: 30

Piotr Przymus

Uniwersytet Mikolaja Kopernika w Toruniu

About Piotr Przymus

Piotr Przymus Information

Piotr Przymus Skills & Research Interests

Top articles of Piotr Przymus

A toolbox of machine learning software to support microbiome analysis

Thomas Klammsteiner

Piotr Przymus

Alexia Sampri

Marta B Lopes

Patrick May

Ines Thiele

Ciprian-Octavian Truică

Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action

Georgios Papoutsoglou

Aldert Zomer

Marta B Lopes

Aleksandra Gruca

Thomas Klammsteiner

Ciprian-Octavian Truică

Erik Bongcam-Rudloff

Piotr Przymus

Alexia Sampri

Gaetano Isola

The Secret Life of CVEs

Piotr Przymus

Mikołaj Fejzer

Jakub Narębski

Krzysztof Stencel

Fast JSON parser using metaprogramming on GPU

Krzysztof Kaczmarski

Jakub Narębski

Piotr Przymus

Tracking Buggy Files: New Efficient Adaptive Bug Localization Algorithm

Mikołaj Fejzer

Jakub Narębski

Piotr Przymus

Krzysztof Stencel

Statistical and machine learning techniques in human microbiome studies: contemporary challenges and solutions

Thomas Klammsteiner

Marta B Lopes

Patrick May

Piotr Przymus

Alexia Sampri

Blaz Stres

Ciprian-Octavian Truică

David Gomez-Cabrero

Applications of machine learning in human microbiome studies: a review on feature selection, biomarker identification, disease prediction and treatment

Piotr Przymus

Aleksandra Gruca

Thomas Klammsteiner

Marta B Lopes

Georgios Papoutsoglou

Blaz Stres

Ioannis Tsamardinos

Co-Authors

Dominik Slezak

Lotfi LAKHAL

Paweł Rzążewski

Krzysztof Stencel

Krzysztof Kaczmarski

Krzysztof Rykaczewski