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Omar Bahri
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2020 – today
- 2024
- [j1]Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Discord-based counterfactual explanations for time series classification. Data Min. Knowl. Discov. 38(6): 3347-3371 (2024) - [c14]Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Denoising Optimization-Based Counterfactual Explanations for Time Series Classification. ICPR (7) 2024: 162-179 - [c13]Pouya Hosseinzadeh, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification. ICPR (2) 2024: 430-445 - [i2]Peiyu Li, Omar Bahri, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation. CoRR abs/2410.20539 (2024) - 2023
- [c12]Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Multiloss-Based Optimization for Time Series Data Augmentation. IEEE Big Data 2023: 325-330 - [c11]Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps. IEEE Big Data 2023: 718-727 - [c10]Omar Bahri
, Peiyu Li
Motif Alignment for Time Series Data Augmentation. DaWaK 2023: 42-48 - [c9]Peiyu Li
Attention-Based Counterfactual Explanation for Multivariate Time Series. DaWaK 2023: 287-293 - [c8]Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Shapelet-Preserving Bootstrapping For Time Series Data Augmentation. ICMLA 2023: 453-458 - [c7]Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Adversarial Attack Driven Data Augmentation for Time Series Classification. ICMLA 2023: 653-658 - [c6]Pouya Hosseinzadeh, Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
METFORC: Classification with Meta-Learning and Multimodal Stratified Time Series Forest. ICMLA 2023: 1248-1252 - 2022
- [c5]Omar Bahri
Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification. IEEE Big Data 2022: 242-251 - [c4]Peiyu Li
SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification. IEEE Big Data 2022: 1564-1569 - [c3]Peiyu Li
Fast Counterfactual Explanation for Solar Flare Prediction. ICMLA 2022: 1238-1243 - [c2]Omar Bahri
Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series. ICMLA 2022: 1244-1249 - [c1]Rob Johnson, Soukaïna Filali Boubrahimi
Physics-Informed Neural Networks for Solar Wind Prediction. ICPR Workshops (3) 2022: 273-286 - [i1]Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Shapelet-Based Counterfactual Explanations for Multivariate Time Series. CoRR abs/2208.10462 (2022)
Coauthor Index
aka: Soukaïna Filali Boubrahimi
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