Application of regularized ranking and collaborative filtering in predictive alarm algorithm for nocturnal hypoglycemia prevention. - Galyna Kriukova; Nadiya Shvai; Sergei V. Pereverzyev (IDAACS, 2017)

Deterministic metaheuristic based on fractal decomposition for large-scale optimization. - Amir Nakib; S. Ouchraa; Nadiya Shvai; Leo Souquet; El-Ghazali Talbi (Appl. Soft Comput., 2017)

Optimal Ensemble Classifiers Based Classification for Automatic Vehicle Type Recognition. - Nadiya Shvai; Antoine Meicler; Abul Hasnat 001; Edouard Machover; Paul Maarek; Stephane Loquet; Amir Nakib (CEC, 2018)

New Vehicle Classification Method Based on Hybrid Classifiers. - Abul Hasnat 001; Nadiya Shvai; Antoine Meicler; Paul Maarek; Amir Nakib (ICIP, 2018)

Application Guided Image Quality Estimation Based on Classification. - Abul Hasnat 001; Nadiya Shvai; Assan Sanogo; Marouan Khata; Arcadi Llanza; Antoine Meicler; Amir Nakib (ICIP, 2019)

Novel Context-aware Classification for Highly Accurate Automatic Toll Collection. - Marouan Khata; Nadiya Shvai; Abul Hasnat 001; Arcadi Llanza; Assan Sanogo; Antoine Meicler; Amir Nakib (IV, 2019)

Hyperparameters optimization for neural network training using Fractal Decomposition-based Algorithm. - Léo Souquet; Nadiya Shvai; Arcadi Llanza; Amir Nakib (CEC, 2020)

HyperFDA: a bi-level optimization approach to neural architecture search and hyperparameters' optimization via fractal decomposition-based algorithm. - Léo Souquet; Nadiya Shvai; Arcadi Llanza; Amir Nakib (GECCO Companion, 2020)

Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint. - Antoine Meicler; Assan Sanogo; Nadiya Shvai; Arcadi Llanza; Abul Hasnat 001; Marouan Khata; Ed-Doughmi Younes; Alami Khalil; Yazid Lachachi; Amir Nakib (ICIAR (1), 2020)

Accurate Classification for Automatic Vehicle-Type Recognition Based on Ensemble Classifiers. - Nadiya Shvai; Abul Hasnat 001; Antoine Meicler; Amir Nakib (IEEE Trans. Intell. Transp. Syst., 2020)

CNN Classifier's Robustness Enhancement when Preserving Privacy. - Abul Hasnat 001; Nadiya Shvai; Amir Nakib (ICIP, 2021)

Investigating Fractal Decomposition Based Algorithm on Low-Dimensional Continuous Optimization Problems. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (MIC, 2022)

DEvS: data distillation algorithm based on evolution strategy. - Nadiya Shvai; Arcadi Llanza; Abul Hasnat 001; Amir Nakib (GECCO Companion, 2022)

Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (CoRR, 2022)

Study of the Fractal decomposition based metaheuristic on low-dimensional Black-Box optimization problems. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (CoRR, 2022)

Deep Learning Models Compression Based on Evolutionary Algorithms and Digital Fractional Differentiation. - Arcadi Llanza; Fekhr Eddine Keddous; Nadiya Shvai; Amir Nakib (CEC, 2023)

Adaptive Image Anonymization in the Context of Image Classification with Neural Networks. - Nadiya Shvai; Arcadi Llanza Carmona; Amir Nakib (ICCV, 2023)

Inference Acceleration of Deep Learning Classifiers Based on RNN. - Fekhr Eddine Keddous; Nadiya Shvai; Arcadi Llanza; Amir Nakib (ICIP, 2023)

Convolutional Neural Network Compression Based on Improved Fractal Decomposition Algorithm for Large Scale Optimization. - Arcadi Llanza; Fekhr Eddine Keddous; Nadiya Shvai; Amir Nakib (SMC, 2023)

Convolutional neural network architecture search based on fractal decomposition optimization algorithm. - Léo Souquet; Nadiya Shvai; Arcadi Llanza; Amir Nakib (Expert Syst. Appl., 2023)

Black-Box Optimization Based Adaptive Image Anonymization. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (CEC, 2024)

License Plate Images Generation with Diffusion Models. - Mariia Shpir; Nadiya Shvai; Amir Nakib (ECAI, 2024)

Evolutionary Algorithm Based Adaptive Image Anonymization. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (GECCO Companion, 2024)

Balancing Performance and Efficiency in Zero-shot Robotic Navigation. - Dmytro Kuzmenko; Nadiya Shvai (CoRR, 2024)

Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata. - Mykhailo Poliakov; Nadiya Shvai (CoRR, 2024)

Vision transformers inference acceleration based on adaptive layer normalization. - Fekhr Eddine Keddous; Arcadi Llanza; Nadiya Shvai; Amir Nakib (Neurocomputing, 2024)

Knowledge Transfer in Model-Based Reinforcement Learning Agents for Efficient Multi-Task Learning. - Dmytro Kuzmenko; Nadiya Shvai (AAMAS, 2025)

A 0-Shot Self-Attention Mechanism for Accelerated Diagonal Attention. - Viti Mario; Nadiya Shvai; Arcadi Llanza; Amir Nakib (WACV, 2025)

FDS: Fractal decomposition based direct search approach for continuous dynamic optimization. - Arcadi Llanza; Nadiya Shvai; Amir Nakib (Inf. Sci., 2025)

TD-MPC-Opt: Distilling Model-Based Multi-Task Reinforcement Learning Agents. - Dmytro Kuzmenko; Nadiya Shvai (CoRR, 2025)

MoIRA: Modular Instruction Routing Architecture for Multi-Task Robotics. - Dmytro Kuzmenko; Nadiya Shvai (CoRR, 2025)