Complexity-based speciation and genotype representation for neuroevolution. - Alexander Hadjiivanov; Alan Blair 001 (CEC, 2016)

Adaptive conversion of real-valued input into spike trains. - Alexander Hadjiivanov (IJCNN, 2016)

Epigenetic evolution of deep convolutional models. - Alexander Hadjiivanov; Alan Blair 001 (CEC, 2019)

Biologically inspired evolution and adaptation in artificial neural networks. - Alexander Hadjiivanov (2019)

Continuous Learning and Adaptation with Membrane Potential and Activation Threshold Homeostasis. - Alexander Hadjiivanov (CoRR, 2021)

Neuromorphic Computing and Sensing in Space. - Dario Izzo; Alexander Hadjiivanov; Dominik Dold; Gabriele Meoni; Emmanuel Blazquez (CoRR, 2022)

On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing. - Loïc J. Azzalini; Emmanuel Blazquez; Alexander Hadjiivanov; Gabriele Meoni; Dario Izzo (CoRR, 2023)

The Space Optimization Competition: Third Edition. - Max Bannach; Emmanuel Blazquez; Dario Izzo; Giacomo Acciarini; Alexander Hadjiivanov; Gernot Heißel; Rita Mastroianni; Sebastien Origer; Jai Grover; Dominik Dold; Zacharia Rudge (GECCO Companion, 2024)

Asteroid Mining: ACT&Friends' Results for the GTOC 12 Problem. - Dario Izzo; Marcus Märtens; Laurent Beauregard; Max Bannach; Giacomo Acciarini; Emmanuel Blazquez; Alexander Hadjiivanov; Jai Grover; Gernot Heißel; Yuri Shimane; Chit Hong Yam (CoRR, 2024)

Wandering around: A bioinspired approach to visual attention through object motion sensitivity. - Giulia D'Angelo; Victoria Clerico; Chiara Bartolozzi; Matej Hoffmann; P. Michael Furlong; Alexander Hadjiivanov (CoRR, 2025)

Energy efficiency analysis of Spiking Neural Networks for space applications. - Paolo Lunghi; Stefano Silvestrini; Dominik Dold; Gabriele Meoni; Alexander Hadjiivanov; Dario Izzo (CoRR, 2025)