| 2026 | HRI | When Robots Say No: The Empathic Ethical Disobedience Benchmark. | Dmytro Kuzmenko, Nadiya Shvai |
| 2025 | ICTERI | Text-to-Image License Plate Generation with Latent Diffusion Models. | Mariia Shpir, Nadiya Shvai, Amir Nakib |
| 2025 | ICTERI | Coreset Selection Using Neural Principal Component Analysis. | Anastasia Tkachyshyn, Nadiya Shvai |
| 2025 | SMC | Evolutionary Fractal Decomposition based Search for Dynamic Optimization. | Arcadi Llanza, Nadiya Shvai, Amir Nakib |
| 2025 | WACV | A 0-Shot Self-Attention Mechanism for Accelerated Diagonal Attention. | Viti Mario, Nadiya Shvai, Arcadi Llanza, Amir Nakib |
| 2024 | CEC | Black-Box Optimization Based Adaptive Image Anonymization. | Arcadi Llanza, Nadiya Shvai, Amir Nakib |
| 2024 | ECAI | License Plate Images Generation with Diffusion Models. | Mariia Shpir, Nadiya Shvai, Amir Nakib |
| 2024 | GECCO | Evolutionary Algorithm Based Adaptive Image Anonymization. | Arcadi Llanza, Nadiya Shvai, Amir Nakib |
| 2024 | ICTERI | Balancing Performance and Efficiency in Zero-Shot Robotic Navigation. | Dmytro Kuzmenko, Nadiya Shvai |
| 2024 | ICTERI | Multi-Meta-RAG: Improving RAG for Multi-hop Queries Using Database Filtering with LLM-Extracted Metadata. | Mykhailo Poliakov, Nadiya Shvai |
| 2023 | CEC | Deep Learning Models Compression Based on Evolutionary Algorithms and Digital Fractional Differentiation. | Arcadi Llanza, Fekhr Eddine Keddous, Nadiya Shvai, Amir Nakib |
| 2023 | ICCV | Adaptive Image Anonymization in the Context of Image Classification with Neural Networks. | Nadiya Shvai, Arcadi Llanza Carmona, Amir Nakib |
| 2023 | ICIP | Inference Acceleration of Deep Learning Classifiers Based on RNN. | Fekhr Eddine Keddous, Nadiya Shvai, Arcadi Llanza, Amir Nakib |
| 2023 | SMC | Convolutional Neural Network Compression Based on Improved Fractal Decomposition Algorithm for Large Scale Optimization. | Arcadi Llanza, Fekhr Eddine Keddous, Nadiya Shvai, Amir Nakib |
| 2022 | GECCO | DEvS: data distillation algorithm based on evolution strategy. | Nadiya Shvai, Arcadi Llanza, Abul Hasnat, Amir Nakib |
| 2021 | ICIP | CNN Classifier's Robustness Enhancement when Preserving Privacy. | Abul Hasnat, Nadiya Shvai, Amir Nakib |
| 2020 | CEC | Hyperparameters optimization for neural network training using Fractal Decomposition-based Algorithm. | Lo Souquet, Nadiya Shvai, Arcadi Llanza, Amir Nakib |
| 2020 | GECCO | HyperFDA: a bi-level optimization approach to neural architecture search and hyperparameters' optimization via fractal decomposition-based algorithm. | Lo Souquet, Nadiya Shvai, Arcadi Llanza, Amir Nakib |
| 2019 | ICIP | Application Guided Image Quality Estimation Based on Classification. | Abul Hasnat, Nadiya Shvai, Assan Sanogo, Marouan Khata, Arcadi Llanza, Antoine Meicler, Amir Nakib |
| 2018 | CEC | Optimal Ensemble Classifiers Based Classification for Automatic Vehicle Type Recognition. | Nadiya Shvai, Antoine Meicler, Abul Hasnat, Edouard Machover, Paul Maarek, Stephane Loquet, Amir Nakib |
| 2018 | ICIP | New Vehicle Classification Method Based on Hybrid Classifiers. | Abul Hasnat, Nadiya Shvai, Antoine Meicler, Paul Maarek, Amir Nakib |