Jerzy Stefanowski

Jerzy Stefanowski

Politechnika Poznanska

H-index: 50

Europe-Poland

About Jerzy Stefanowski

Jerzy Stefanowski, With an exceptional h-index of 50 and a recent h-index of 29 (since 2020), a distinguished researcher at Politechnika Poznanska, specializes in the field of machine learning, data mining, data streams, rule learning, imbalanced classification.

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

Properties of fairness measures in the context of varying class imbalance and protected group ratios

Multi-criteria Approaches to Explaining Black Box Machine Learning Models

Reproducibility of machine learning: Terminology, recommendations and open issues

On usefulness of dominance relation for selecting counterfactuals from the ensemble of explainers

Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance

PIQARD System for Experimenting and Testing Language Models with Prompting Strategies

The Impact of Using Constraints on Counterfactual Explanations

Quality Versus Speed in Energy Demand Prediction: Experience Report from an R &D project

Jerzy Stefanowski Information

University

Position

___

Citations(all)

12244

Citations(since 2020)

4696

Cited By

9312

hIndex(all)

50

hIndex(since 2020)

29

i10Index(all)

137

i10Index(since 2020)

56

Email

University Profile Page

Politechnika Poznanska

Google Scholar

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Jerzy Stefanowski Skills & Research Interests

machine learning

data mining

data streams

rule learning

imbalanced classification

Top articles of Jerzy Stefanowski

Title

Journal

Author(s)

Publication Date

Properties of fairness measures in the context of varying class imbalance and protected group ratios

ACM Transactions on Knowledge Discovery from Data

Dariusz Brzezinski

Julia Stachowiak

Jerzy Stefanowski

Izabela Szczech

Robert Susmaga

...

2024

Multi-criteria Approaches to Explaining Black Box Machine Learning Models

Jerzy Stefanowski

2023/7/24

Reproducibility of machine learning: Terminology, recommendations and open issues

arXiv preprint arXiv:2302.12691

Riccardo Albertoni

Sara Colantonio

Piotr Skrzypczyński

Jerzy Stefanowski

2023/2/24

On usefulness of dominance relation for selecting counterfactuals from the ensemble of explainers

Wojciechowski A.(Ed.), Lipiński P.(Ed.)., Progress in Polish Artificial Intelligence Research 4, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.

Ignacy Stępka

Mateusz Lango

Jerzy Stefanowski

2023

Deep Similarity Learning Loss Functions in Data Transformation for Class Imbalance

Damian Horna

Mateusz Lango

Jerzy Stefanowski

2023/12/16

PIQARD System for Experimenting and Testing Language Models with Prompting Strategies

Marcin Korcz

Dawid Plaskowski

Mateusz Politycki

Jerzy Stefanowski

Alex Terentowicz

2023/9/17

The Impact of Using Constraints on Counterfactual Explanations

Maciej Falbogowski

Jerzy Stefanowski

Zuzanna Trafas

Adam Wojciechowski

2022

Quality Versus Speed in Energy Demand Prediction: Experience Report from an R &D project

Witold Andrzejewski

Jędrzej Potoniec

Maciej Drozdowski

Jerzy Stefanowski

Robert Wrembel

...

2022/7/29

Quality versus speed in energy demand prediction for district heating systems

arXiv preprint arXiv:2205.07863

Witold Andrzejewski

Jedrzej Potoniec

Maciej Drozdowski

Jerzy Stefanowski

Robert Wrembel

...

2022/5/10

Roman Słowiński and His Research Program: Intelligent Decision Support Systems Between Operations Research and Artificial Intelligence

Salvatore Greco

Vincent Mousseau

Jerzy Stefanowski

Constantin Zopounidis

2022/2/9

The influence of multiple classes on learning online classifiers from imbalanced and concept drifting data streams

arXiv preprint arXiv:2210.08359

Agnieszka Lipska

Jerzy Stefanowski

2022/10/15

Rule confirmation measures: Properties, visual analysis and applications

Izabela Szczech

Robert Susmaga

Dariusz Brzezinski

Jerzy Stefanowski

2022/2/9

The Influence of Multiple Classes on Learning from Imbalanced Data Streams

Agnieszka Lipska

Jerzy Stefanowski

2022/10/8

An appendix with additional experimental results to the paper: The Influence of Multiple Classes on Learning from Imbalanced Data Streams

Proceedings of Machine Learning Research

Agnieszka Lipska

Jerzy Stefanowski

2022

What makes multi-class imbalanced problems difficult? An experimental study

Expert Systems with Applications

Mateusz Lango

Jerzy Stefanowski

2022/8/1

Time aspect in making an actionable prediction of a conversation breakdown

Piotr Janiszewski

Mateusz Lango

Jerzy Stefanowski

2021

multi-imbalance: Open Source Python Toolbox for Multi-class Imbalanced Classification

Jacek Grycza

Damian Horna

Hanna Klimczak

Mateusz Lango

Kamil Pluciński

...

2021

Two ways of extending Bracid rule-based classifiers for multi-class imbalanced data

Maria Naklicka

Jerzy Stefanowski

2021/9/29

Prototypical convolutional neural network for a phrase-based explanation of sentiment classification

Kamil Pluciński

Mateusz Lango

Jerzy Stefanowski

2021/9/13

The impact of data difficulty factors on classification of imbalanced and concept drifting data streams

Knowledge and Information Systems

Dariusz Brzezinski

Leandro L Minku

Tomasz Pewinski

Jerzy Stefanowski

Artur Szumaczuk

2021/6

See List of Professors in Jerzy Stefanowski University(Politechnika Poznanska)

Co-Authors

H-index: 94
Roman Slowinski

Roman Slowinski

Politechnika Poznanska

H-index: 73
Joao Gama

Joao Gama

Universidade do Porto

H-index: 40
Bartosz Krawczyk

Bartosz Krawczyk

Virginia Commonwealth University

H-index: 40
Michal Wozniak

Michal Wozniak

Politechnika Wroclawska

H-index: 36
Indrė Žliobaitė

Indrė Žliobaitė

Helsingin yliopisto

H-index: 36
Leandro Minku

Leandro Minku

University of Birmingham

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