Segmenting Retinal Blood Vessels With Deep Neural Networks P Liskowski, K Krawiec IEEE transactions on medical imaging 35 (11), 2369-2380, 2016 | 991 | 2016 |
Learning to Play Othello With Deep Neural Networks P Liskowski, W Jaśkowski, K Krawiec IEEE Transactions on Games 10 (4), 354-364, 2018 | 38 | 2018 |
Comparison of semantic-aware selection methods in genetic programming P Liskowski, K Krawiec, T Helmuth, L Spector Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 35 | 2015 |
Automatic derivation of search objectives for test-based genetic programming K Krawiec, P Liskowski European Conference on Genetic Programming, 53-65, 2015 | 31 | 2015 |
Improving coevolution by random sampling W Jaśkowski, P Liskowski, M Szubert, K Krawiec Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 20 | 2013 |
Discovery of implicit objectives by compression of interaction matrix in test-based problems P Liskowski, K Krawiec Parallel Problem Solving from Nature–PPSN XIII: 13th International …, 2014 | 16 | 2014 |
Online discovery of search objectives for test-based problems P Liskowski, K Krawiec Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 15 | 2016 |
Non-negative matrix factorization for unsupervised derivation of search objectives in genetic programming P Liskowski, K Krawiec Proceedings of the Genetic and Evolutionary Computation Conference 2016, 749-756, 2016 | 14 | 2016 |
High-dimensional function approximation for knowledge-free reinforcement learning: a case study in SZ-Tetris W Jaśkowski, M Szubert, P Liskowski, K Krawiec Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 14 | 2015 |
Program synthesis as latent continuous optimization: Evolutionary search in neural embeddings P Liskowski, K Krawiec, NE Toklu, J Swan Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 359-367, 2020 | 11 | 2020 |
Shaping fitness function for evolutionary learning of game strategies M Szubert, W Jaśkowski, P Liskowski, K Krawiec Proceedings of the 15th annual conference on genetic and evolutionary …, 2013 | 11 | 2013 |
Surrogate fitness via factorization of interaction matrix P Liskowski, K Krawiec Genetic Programming: 19th European Conference, EuroGP 2016, Porto, Portugal …, 2016 | 10 | 2016 |
Clipup: A simple and powerful optimizer for distribution-based policy evolution NE Toklu, P Liskowski, RK Srivastava International Conference on Parallel Problem Solving from Nature, 515-527, 2020 | 9 | 2020 |
Neuro-guided genetic programming: prioritizing evolutionary search with neural networks P Liskowski, I Błądek, K Krawiec Proceedings of the Genetic and Evolutionary Computation Conference, 1143-1150, 2018 | 7 | 2018 |
Discovery of search objectives in continuous domains P Liskowski, K Krawiec Proceedings of the Genetic and Evolutionary Computation Conference, 969-976, 2017 | 7 | 2017 |
Multi-criteria comparison of coevolution and temporal difference learning on Othello W Jaśkowski, M Szubert, P Liskowski Applications of Evolutionary Computation: 17th European Conference …, 2014 | 7 | 2014 |
The role of behavioral diversity and difficulty of opponents in coevolving game-playing agents M Szubert, W Jaśkowski, P Liskowski, K Krawiec Applications of Evolutionary Computation: 18th European Conference …, 2015 | 6 | 2015 |
The performance profile: A multi-criteria performance evaluation method for test-based problems W Jaśkowski, P Liskowski, M Szubert, K Krawiec International Journal of Applied Mathematics and Computer Science 26 (1 …, 2016 | 5 | 2016 |
EvoTorch: Scalable Evolutionary Computation in Python NE Toklu, T Atkinson, V Micka, P Liskowski, RK Srivastava arXiv preprint arXiv:2302.12600, 2023 | 3 | 2023 |
Adaptive test selection for factorization-based surrogate fitness in genetic programming K Krawiec, P Liskowski Foundations of Computing and Decision Sciences 42 (4), 339-358, 2017 | 3 | 2017 |