Omar Bahri

According to our database, Omar Bahri authored at least 14 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Discord-based counterfactual explanations for time series classification.

Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi

Data Min. Knowl. Discov., November, 2024

2023

Adversarial Attack Driven Data Augmentation for Time Series Classification.

Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the International Conference on Machine Learning and Applications, 2023

METFORC: Classification with Meta-Learning and Multimodal Stratified Time Series Forest.

Pouya Hosseinzadeh, Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the International Conference on Machine Learning and Applications, 2023

Shapelet-Preserving Bootstrapping For Time Series Data Augmentation.

Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the International Conference on Machine Learning and Applications, 2023

Attention-Based Counterfactual Explanation for Multivariate Time Series.

Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Motif Alignment for Time Series Data Augmentation.

Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps.

Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the IEEE International Conference on Big Data, 2023

Multiloss-Based Optimization for Time Series Data Augmentation.

Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Shapelet-Based Counterfactual Explanations for Multivariate Time Series.

Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi

CoRR, 2022

Physics-Informed Neural Networks for Solar Wind Prediction.

Rob Johnson, Soukaïna Filali Boubrahimi, Omar Bahri, Shah Muhammad Hamdi

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Fast Counterfactual Explanation for Solar Flare Prediction.

Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series.

Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification.

Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the IEEE International Conference on Big Data, 2022

Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification.

Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the IEEE International Conference on Big Data, 2022