Omar Bahri

Orcid: 0009-0001-6961-3046

According to our database1, Omar Bahri authored at least 13 papers between 2022 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Adversarial Attack Driven Data Augmentation for Time Series Classification.
Proceedings of the International Conference on Machine Learning and Applications, 2023

METFORC: Classification with Meta-Learning and Multimodal Stratified Time Series Forest.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Shapelet-Preserving Bootstrapping For Time Series Data Augmentation.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Attention-Based Counterfactual Explanation for Multivariate Time Series.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Motif Alignment for Time Series Data Augmentation.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps.
Proceedings of the IEEE International Conference on Big Data, 2023

Multiloss-Based Optimization for Time Series Data Augmentation.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Shapelet-Based Counterfactual Explanations for Multivariate Time Series.
CoRR, 2022

Physics-Informed Neural Networks for Solar Wind Prediction.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Fast Counterfactual Explanation for Solar Flare Prediction.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification.
Proceedings of the IEEE International Conference on Big Data, 2022

Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification.
Proceedings of the IEEE International Conference on Big Data, 2022


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