Nadiya Shvai

According to our database, Nadiya Shvai authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Vision transformers inference acceleration based on adaptive layer normalization.

Fekhr Eddine Keddous, Arcadi Llanza, Nadiya Shvai, Amir Nakib

Neurocomputing, 2024

Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted Metadata.

Mykhailo Poliakov, Nadiya Shvai

CoRR, 2024

Balancing Performance and Efficiency in Zero-shot Robotic Navigation.

Dmytro Kuzmenko, Nadiya Shvai

CoRR, 2024

Evolutionary Algorithm Based Adaptive Image Anonymization.

Arcadi Llanza, Nadiya Shvai, Amir Nakib

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

License Plate Images Generation with Diffusion Models.

Mariia Shpir, Nadiya Shvai, Amir Nakib

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Black-Box Optimization Based Adaptive Image Anonymization.

Arcadi Llanza, Nadiya Shvai, Amir Nakib

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023

Convolutional neural network architecture search based on fractal decomposition optimization algorithm.

Léo Souquet, Nadiya Shvai, Arcadi Llanza, Amir Nakib

Expert Syst. Appl., March, 2023

Convolutional Neural Network Compression Based on Improved Fractal Decomposition Algorithm for Large Scale Optimization.

Arcadi Llanza, Fekhr Eddine Keddous, Nadiya Shvai, Amir Nakib

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Inference Acceleration of Deep Learning Classifiers Based on RNN.

Fekhr Eddine Keddous, Nadiya Shvai, Arcadi Llanza, Amir Nakib

Proceedings of the IEEE International Conference on Image Processing, 2023

Adaptive Image Anonymization in the Context of Image Classification with Neural Networks.

Nadiya Shvai, Arcadi Llanza Carmona, Amir Nakib

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Learning Models Compression Based on Evolutionary Algorithms and Digital Fractional Differentiation.

Arcadi Llanza, Fekhr Eddine Keddous, Nadiya Shvai, Amir Nakib

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Study of the Fractal decomposition based metaheuristic on low-dimensional Black-Box optimization problems.

Arcadi Llanza, Nadiya Shvai, Amir Nakib

CoRR, 2022

Dynamic camera alignment optimization problem based on Fractal Decomposition based Algorithm.

Arcadi Llanza, Nadiya Shvai, Amir Nakib

CoRR, 2022

DEvS: data distillation algorithm based on evolution strategy.

Nadiya Shvai, Arcadi Llanza, Abul Hasnat, Amir Nakib

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Investigating Fractal Decomposition Based Algorithm on Low-Dimensional Continuous Optimization Problems.

Arcadi Llanza, Nadiya Shvai, Amir Nakib

Proceedings of the Metaheuristics - 14th International Conference, 2022

2021

CNN Classifier's Robustness Enhancement when Preserving Privacy.

Abul Hasnat, Nadiya Shvai, Amir Nakib

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Accurate Classification for Automatic Vehicle-Type Recognition Based on Ensemble Classifiers.

Nadiya Shvai, Abul Hasnat, Antoine Meicler, Amir Nakib

IEEE Trans. Intell. Transp. Syst., 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, Marouan Khata, Ed-Doughmi Younes, Alami Khalil, Yazid Lachachi, Amir Nakib

Proceedings of the Image Analysis and Recognition - 17th International Conference, 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

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Hyperparameters optimization for neural network training using Fractal Decomposition-based Algorithm.

Léo Souquet, Nadiya Shvai, Arcadi Llanza, Amir Nakib

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Novel Context-aware Classification for Highly Accurate Automatic Toll Collection.

Marouan Khata, Nadiya Shvai, Abul Hasnat, Arcadi Llanza, Assan Sanogo, Antoine Meicler, Amir Nakib

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Application Guided Image Quality Estimation Based on Classification.

Abul Hasnat, Nadiya Shvai, Assan Sanogo, Marouan Khata, Arcadi Llanza, Antoine Meicler, Amir Nakib

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

New Vehicle Classification Method Based on Hybrid Classifiers.

Abul Hasnat, Nadiya Shvai, Antoine Meicler, Paul Maarek, Amir Nakib

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Optimal Ensemble Classifiers Based Classification for Automatic Vehicle Type Recognition.

Nadiya Shvai, Antoine Meicler, Abul Hasnat, Edouard Machover, Paul Maarek, Stephane Loquet, Amir Nakib

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

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

Application of regularized ranking and collaborative filtering in predictive alarm algorithm for nocturnal hypoglycemia prevention.

Galyna Kriukova, Nadiya Shvai, Sergei V. Pereverzyev

Proceedings of the 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2017