Scholar
Jerzy Stefanowski
Google Scholar ID: id96GvIAAAAJ
Poznan University of Technology
machine learning
data streams
Explainable AI
rule learning
imbalanced classification
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
5,328
H-index
29
i10-index
64
Publications
20
Co-authors
76
list available
Publications
13 items
Challenges in Evaluating Explanation Methods for Static and Evolving Data
2026
Cited
0
Alike Parts: A Feature-Informed Approach to Local and Global Prototype Explanations
2026
Cited
0
Counterfactual Explanations Under Concept Drift
2026
Cited
0
PREF-XAI: Preference-Based Personalized Rule Explanations of Black-Box Machine Learning Models
2026
Cited
0
A Probabilistic Consensus-Driven Approach for Robust Counterfactual Explanations
2026
Cited
0
An interpretable prototype parts-based neural network for medical tabular data
2026
Cited
1
Explaining Concept Drift through the Evolution of Group Counterfactuals
2025
Cited
0
This part looks alike this: identifying important parts of explained instances and prototypes
2025
Cited
0
Load more
Co-authors
14 total
Roman Slowinski
Poznan University of Technology
Dariusz Brzezinski
Poznan University of Technology
Salvatore Greco
Università di Catania
Mateusz Lango
Charles University / Poznan University of Technology
Robert Susmaga
Instytut Informatyki, Politechnika Poznańska
Michal Wozniak
Wroclaw University of Science and Technology (Politechnika Wrocławska)
Indrė Žliobaitė
Professor, University of Helsinki
Alexis Tsoukiàs
CNRS
