Krzysztof Krawiec

Poznań University of Technology — Poland

Computer Science · Physical Sciences

29h-index4.6kcitations248works0.62yr avg
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Research Topics

Evolutionary Algorithms and Applications(150), Metaheuristic Optimization Algorithms Research(113), Reinforcement Learning in Robotics(36), Neural Networks and Applications(25), Artificial Intelligence in Games(22)

Publications248 total

Autoassociative Learning of Structural Representations for Modeling and Classification in Medical Imaging
SSRN Electronic Journal·2026Open Access
Learning Semantics-aware Search Operators for Genetic Programming
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2025· 1 cited
Evidence Generation for a Host-Response Biosignature of Respiratory Disease
Viruses·2025· 2 citedOpen Access
Management of Energy Production in a Hybrid Combination of a Heat Pump and a Photovoltaic Thermal (PVT) Collector
Energies·2025· 2 citedOpen Access
Generative Learning of Differentiable Object Models for Compositional Interpretation of Complex Scenes
arXiv (Cornell University)·2025Open Access
Staged Self-Supervised Learning for Raven Progressive Matrices
IEEE Transactions on Neural Networks and Learning Systems·2025
Neuro-Guided Graph Search for Symbolic Regression (Student Abstract)
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
Editorial introduction to the special issue for the tenth anniversary of geometric semantic genetic programming
Genetic Programming and Evolvable Machines·2025· 1 citedOpen Access
Learning Semantics-aware Search Operators for Genetic Programming
arXiv (Cornell University)·2025Open Access
Task-Location Assignment Problem in Planning Horizon
SSRN Electronic Journal·2025Open Access
Autoassociative Learning of Structural Representations for Modeling and Classification in Medical Imaging
SSRN Electronic Journal·2025Open Access
Autoassociative Learning of Structural Representations for Modeling and Classification in Medical Imaging
SSRN Electronic Journal·2025Open Access
Application of Basic Machine-Learning Classifiers for Automatic Anomaly Detection in Shewhart Control Charts
Decision Making in Manufacturing and Services·2024Open Access
Autoassociative Learning of Structural Representations for Modeling and Classification in Medical Imaging
ArXiv.org·2024Open Access
Guiding Genetic Programming with Graph Neural Networks
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2024· 1 citedOpen Access
Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation
Lecture notes in computer science·2024· 1 citedOpen Access
Disentangling Visual Priors: Unsupervised Learning of Scene Interpretations with Compositional Autoencoder
Lecture notes in computer science·2024· 2 citedOpen Access
Learning abstract visual reasoning via task decomposition: A case study in Raven progressive matrices
International Journal of Applied Mathematics and Computer Science·2024· 1 citedOpen Access
Host-directed vibroacoustic biosignature of viral respiratory infection
2023· 1 cited
Solving rescheduling problems in heterogeneous urban railway networks using hybrid quantum-classical approach
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Tomasz P. Pawlak(7), Wojciech Jaśkowski(6), Paweł Liskowski(5), Una-May O’Reilly(5), Bartosz Wieloch(5), Bir Bhanu(4), Marcin Szubert(4), Jerry Swan(3), Roman Słowiński(2), Maciej Wojtkowski(2), Maciej Szkulmowski(2), Zbigniew W. Kundzewicz(2), Borys Kierdaszuk(2), Birgitte Munch‐Petersen(2), David Shugar(2), Conor Ryan(2), Jeannie Fitzgerald(2), David Medernach(2), Iwo Błądek(2), Alberto Moraglio(1)