| Complexity-based speciation and genotype representation for neuroevolution A Hadjiivanov, A Blair 2016 IEEE Congress on Evolutionary Computation (CEC), 3092-3101, 2016 | 9 | 2016 |
| Neuromorphic computing and sensing in space D Izzo, A Hadjiivanov, D Dold, G Meoni, E Blazquez Artificial Intelligence for Space: AI4SPACE, 107-159, 2022 | 6 | 2022 |
| Epigenetic evolution of deep convolutional models A Hadjiivanov, A Blair 2019 IEEE Congress on Evolutionary Computation (CEC), 1478-1486, 2019 | 4 | 2019 |
| Adaptive conversion of real-valued input into spike trains A Hadjiivanov 2016 International Joint Conference on Neural Networks (IJCNN), 1052-1059, 2016 | 4 | 2016 |
| Dario Izzo A Hadjiivanov, D Dold, G Meoni, E Blazquez Artificial Intelligence for Space: AI4SPACE: Trends, Applications, and …, 2023 | | 2023 |
| Evolutionary Machine Learning for Space M von Looz, A Hadjiivanov, E Blazquez Handbook of Evolutionary Machine Learning, 611-628, 2023 | | 2023 |
| On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing LJ Azzalini, E Blazquez, A Hadjiivanov, G Meoni, D Izzo arXiv preprint arXiv:2308.00394, 2023 | | 2023 |
| Continuous Learning and Adaptation with Membrane Potential and Activation Threshold Homeostasis A Hadjiivanov arXiv preprint arXiv:2104.10851, 2021 | | 2021 |
| Biologically inspired evolution and adaptation in artificial neural networks A Hadjiivanov UNSW Sydney, 2019 | | 2019 |
Emmanuel BlazquezEuropean Space AgencyVerified email at esa.int
