Jerry Swan, Eric Nivel, Neel Kant, Jules Hedges, Timothy Atkinson, Bas Steunebrink

"The Road to General Intelligence"

Studies in Computational Intelligence, 1049, Springer 2022

https://link.springer.com/book/10.1007/978-3-031-08020-3

Iolo Jones, Jerry Swan, Jeff Giansiracusa,
"Algebraic Dynamical Systems in Machine Learning"
Applied Categorical Structures, 32 (4), 2024
https://doi.org/10.1007/s10485-023-09762-9
 

Bas Steunebrink, Jerry Swan, Eric Nivel

"The Holon System: Artificial General Intelligence as ‘Work on Command’"

Proceedings of the Third International Workshop on Self-Supervised Learning, PMLR 192:120-126, 2022

https://proceedings.mlr.press/v192/steunebrink22a.html

​

Andreas Schuh, Michael Morimoto, Piotr Kaszuba, Kevin Hammond, Jerry Swan, Krzysztof Krawiec, NL Shasha Jumbe,

"Host-directed vibroacoustic biosignature of viral respiratory infection"

In: IEEE EMBS (Engineering in Medicine and Biology Society) International Conference on Biomedical and Health Informatics, Pittsburgh, PA, 2023
https://bhi.embs.org/2023/

​

Piotr Kaszuba, Andrew Turner, Bartosz Mikulski, NL Shasha Jumbe, Andreas Schuh, Michael Morimoto, Peter Rexelius, Ryan Hafen, Ron Deiotte, Kevin Hammond, Jerry Swan, Krzysztof Krawiec

"Synthesizing Effective Diagnostic Models from Small Samples using Structural Machine Learning: a Case Study in Automating COVID-19 Diagnosis"

In: ACM GECCO 2023: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 2023

https://doi.org/10.1145/3583133.3590598

​

Pawel Liskowski, Krzysztof Krawiec, Nihat Engin Toklu

“Neuromemetic Evolutionary Optimization”

In: Parallel Problem Solving from Nature, 2020

https://dl.acm.org/doi/abs/10.1007/978-3-030-58112-1_43

​

Jerry Swan, Steven Adriaensen, Alexander E.I. Brownlee, Kevin Hammond, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, J.J. Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White
"Metaheuristics 'In the Large'"

European Journal of Operational Research, 297 (2), 2022

https://doi.org/10.1016/j.ejor.2021.05.042

​

Jakub Kwiatkowski, Krzysztof Krawiec

"Learning Abstract Visual Reasoning via Task Decomposition: A Case Study in Raven Progressive Matrices"

In: International Journal of Applied Mathematics and Computer Science, Vol. 34, No. 2, 2024 (to appear). 

https://arxiv.org/abs/2308.06528 

​

Pawel Liskowski, Krzysztof Krawiec, Nihat Engin Toklu, Jerry Swan

“Program synthesis as latent continuous optimization: evolutionary search in neural embeddings”

In: ACM GECCO 2020: Genetic and Evolutionary Computation Conference, Cancun, Mexico 2020

https://doi.org/10.1145/3377930.3390213

​

Paweł Liskowski, Iwo Blądek, Krzysztof Krawiec

“Neuro-guided Genetic Programming: Prioritizing Evolutionary Search with Neural Networks”

In: ACM GECCO 2018: Genetic and Evolutionary Computation Conference, Kyoto, Japan, 2018

http://doi.acm.org/10.1145/3205455.3205629

​

Alexander E.I. Brownlee, Nathan Burles, Jerry Swan

"Search-Based Energy Optimization of Some Ubiquitous Algorithms"

IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, no. 3, 2017

https://ieeexplore.ieee.org/document/7935484

​

Paweł Liskowski and Krzysztof Krawiec
“Segmenting Retinal Blood Vessels with Deep Neural Networks”.
IEEE Transactions on Medical Imaging 35.11, pp. 2369–2380, 2016
https://doi.org/10.1109/tmi.2016.2546227 

​

​