Janusz Szwabiński - Concepedia

Author

Janusz Szwabiński

Wrocław University of Science and Technology ORCID

Also Known As

J. Szwabiński, JANUSZ SZWABIǸSKI, Janusz Szwabiński, SZWABIŃSKI, Janusz, Szwabinski, Janusz, Szwabiński, Janusz

Publications

698

Citations

H-Index

Concepts

All Affiliations

Wrocław University of Science and Technology University of Wrocław AGH University of Krakow University of Geneva Institute of Theoretical Physics

About

Janusz Szwabiński is an author at Wrocław University of Science and Technology specializing in data science, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	66
2	Arts	1	1	77
3	Business	1	1	77
4	Law	1	1	77
5	Biostatistics	1	1	34

Janusz Szwabiński

Publications

567

Citations

H-Index

Page 1

	Year	Citations
Classification of diffusion modes in single-particle tracking data: Feature-based versus deep-learning approach Patrycja Kowalek, Hanna Loch-Olszewska, Janusz Szwabiński Physical review. E	2019	141
Motion of influential players can support cooperation in Prisoner’s Dilemma Michel Droz, Janusz Szwabiński, György Szabó The European Physical Journal B Cooperation TheoryStrategic InteractionPerformance StudiesNon-cooperative Game TheorySocial Behavior	2009	77
Classification of particle trajectories in living cells: Machine learning versus statistical testing hypothesis for fractional anomalous diffusion Joanna Janczura, Patrycja Kowalek, Hanna Loch-Olszewska, Physical review. E	2020	66
Is the Person-Situation Debate Important for Agent-Based Modeling and Vice-Versa? Katarzyna Sznajd-Weron, Janusz Szwabiński, Rafał Weron PLoS ONE	2014	47
Conformity, anticonformity and polarization of opinions: insights from a mathematical model of opinion dynamics Tyll Krueger, Janusz Szwabiński, Tomasz Weron Zenodo (CERN European Organization for Nuclear Research)	2016	47
Impact of Feature Choice on Machine Learning Classification of Fractional Anomalous Diffusion Hanna Loch-Olszewska, Janusz Szwabiński Entropy EngineeringMachine LearningMachine Learning ToolFeature ChoiceFractional Anomalous Diffusion	2020	34
Boosting the performance of anomalous diffusion classifiers with the proper choice of features Patrycja Kowalek, Hanna Loch-Olszewska, Łukasz Łaszczuk, Journal of Physics A Mathematical and Theoretical	2022	34
The Interplay Between Conformity and Anticonformity and its Polarizing Effect on Society Patryk Siedlecki, Janusz Szwabiński, Tomasz Weron Journal of Artificial Societies and Social Simulation	2016	30
Detection of Anomalous Diffusion with Deep Residual Networks Miłosz Gajowczyk, Janusz Szwabiński Entropy Geometric LearningConvolutional Neural NetworkAnomaly DetectionMachine LearningEngineering	2021	19
Effects of random habitat destruction in a predator–prey model Janusz Szwabiński, Andrzej Pe ̧kalski Physica A Statistical Mechanics and its Applications Predator-prey InteractionHabitat LossRandom Habitat Destruction	2005	14

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