Omar Bahri

Mach. Learn., May, 2026

2025

Diverse and Plausible Counterfactual Explanations for Time Series via Latent Space Optimization.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

CACTUS: Cross-Aligned Counterfactual Explanation for Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

Improving Causal Feasibility in Counterfactual Explanations for Multivariate Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Discord-based counterfactual explanations for time series classification.

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[DOI]

Data Min. Knowl. Discov., November, 2024

Info-CELS: Informative Saliency Map Guided Counterfactual Explanation.

[BibT_eX]

[DOI]

CoRR, 2024

FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Denoising Optimization-Based Counterfactual Explanations for Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2024

Reliable Time Series Counterfactual Explanations Guided by ShapeDBA.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

ACTS: Adaptive Counterfactual Explanations for Time Series Data Using Barycenters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Adversarial Attack Driven Data Augmentation for Time Series Classification.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Shapelet-Preserving Bootstrapping For Time Series Data Augmentation.

[BibT_eX]

[DOI]

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

Attention-Based Counterfactual Explanation for Multivariate Time Series.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Motif Alignment for Time Series Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Multiloss-Based Optimization for Time Series Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Shapelet-Based Counterfactual Explanations for Multivariate Time Series.

[BibT_eX]

[DOI]

CoRR, 2022

Physics-Informed Neural Networks for Solar Wind Prediction.

[BibT_eX]

[DOI]

Rob Johnson

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

Fast Counterfactual Explanation for Solar Flare Prediction.

[BibT_eX]

[DOI]

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

Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

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

[BibT_eX]

[DOI]