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Soukaina Filali Boubrahimi
Soukaïna Filali Boubrahimi
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- affiliation: Utah State University, Department of Computer Science, Logan, UT, USA
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2020 – today
- 2025
- [i13]MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation. CoRR abs/2501.01649 (2025) - 2024
- [j2]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) - [c56]MohammadReza EskandariNasab, Shah Muhammad Hamdi
, Soukaina Filali Boubrahimi:
SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning. IEEE Big Data 2024: 860-869 - [c55]Pouya Hosseinzadeh, Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
ACTS: Adaptive Counterfactual Explanations for Time Series Data Using Barycenters. IEEE Big Data 2024: 1327-1332 - [c54]Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction. IEEE Big Data 2024: 1476-1483 - [c53]Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Reliable Time Series Counterfactual Explanations Guided by ShapeDBA. IEEE Big Data 2024: 1574-1579 - [c52]MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
Enhancing Multivariate Time Series-Based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning. ICMLA 2024: 369-376 - [c51]MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation. ICMLA 2024: 567-574 - [c50]Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps. ICMLA 2024: 713-718 - [c49]Onur Vural
Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data. ICMLA 2024: 1077-1082 - [c48]Omar Bahri
Denoising Optimization-Based Counterfactual Explanations for Time Series Classification. ICPR (7) 2024: 162-179 - [c47]Khaznah Alshammari
Transformer Model for Multivariate Time Series Classification: A Case Study of Solar Flare Prediction. ICPR (24) 2024: 238-254 - [c46]Pouya Hosseinzadeh
FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification. ICPR (2) 2024: 430-445 - [i12]MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation. CoRR abs/2409.14013 (2024) - [i11]MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning. CoRR abs/2409.14016 (2024) - [i10]Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data. CoRR abs/2410.00312 (2024) - [i9]Ben Shaw, Jake S. Rhodes, Soukaina Filali Boubrahimi, Kevin R. Moon:
Forest Proximities for Time Series. CoRR abs/2410.03098 (2024) - [i8]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) - [i7]MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning. CoRR abs/2410.21203 (2024) - [i6]Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps. CoRR abs/2411.02649 (2024) - [i5]Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction. CoRR abs/2411.11249 (2024) - [i4]Santosh Chapagain, Yuxuan Zhao, T. K. Rohleen, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi, Ryan E. Flinn, Emily M. Lund, Dannie Klooster, Jillian R. Scheer, Cory J. Cascalheira:
Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media Discourse. CoRR abs/2411.13534 (2024) - 2023
- [c45]Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Multiloss-Based Optimization for Time Series Data Augmentation. IEEE Big Data 2023: 325-330 - [c44]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 - [c43]Cory J. Cascalheira, Santosh Chapagain, Ryan E. Flinn, Yuxuan Zhao, Soukaina Filali Boubrahimi, Dannie Klooster, Alejandra Gonzalez, Emily M. Lund, Danica Laprade, Jillian R. Scheer, Shah Muhammad Hamdi:
Predicting Linguistically Sophisticated Social Determinants of Health Disparities with Neural Networks: The Case of LGBTQ+ Minority Stress. IEEE Big Data 2023: 1314-1321 - [c42]Omar Bahri
Motif Alignment for Time Series Data Augmentation. DaWaK 2023: 42-48 - [c41]Peiyu Li
Attention-Based Counterfactual Explanation for Multivariate Time Series. DaWaK 2023: 287-293 - [c40]Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Shapelet-Preserving Bootstrapping For Time Series Data Augmentation. ICMLA 2023: 453-458 - [c39]Khaznah Alshammari, Kartik Saini, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
End-to-End Attention/Transformer Model for Solar Flare Prediction from Multivariate Time Series Data. ICMLA 2023: 558-565 - [c38]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 - [c37]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
- [c36]Khaznah Alshammari, Shah Muhammad Hamdi, Ali Ahsan Muhummad Muzaheed, Soukaina Filali Boubrahimi:
Forecasting Multivariate Time Series of the Magnetic Field Parameters of the Solar Events. AMLTS 2022 - [c35]Shah Muhammad Hamdi
Multivariate Time Series-based Solar Flare Prediction by Functional Network Embedding and Sequence Modeling. AMLTS 2022 - [c34]Omar Bahri
Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification. IEEE Big Data 2022: 242-251 - [c33]Peiyu Li
SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification. IEEE Big Data 2022: 1564-1569 - [c32]Khaznah Alshammari, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
Feature Selection from Multivariate Time Series Data: A Case Study of Solar Flare Prediction. IEEE Big Data 2022: 4796-4801 - [c31]Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
On the Mining of Time Series Data Counterfactual Explanations using Barycenters. CIKM 2022: 3943-3947 - [c30]Peiyu Li
Fast Counterfactual Explanation for Solar Flare Prediction. ICMLA 2022: 1238-1243 - [c29]Omar Bahri
Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series. ICMLA 2022: 1244-1249 - [c28]Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Motif-Guided Time Series Counterfactual Explanations. ICPR Workshops (3) 2022: 203-215 - [c27]Rob Johnson, Soukaïna Filali Boubrahimi
Physics-Informed Neural Networks for Solar Wind Prediction. ICPR Workshops (3) 2022: 273-286 - [c26]Cory J. Cascalheira, Shah Muhammad Hamdi, Jillian R. Scheer, Koustuv Saha, Soukaina Filali Boubrahimi, Munmun De Choudhury:
Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory. ICWSM 2022: 1373-1377 - [i3]Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Shapelet-Based Counterfactual Explanations for Multivariate Time Series. CoRR abs/2208.10462 (2022) - [i2]Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Motif-guided Time Series Counterfactual Explanations. CoRR abs/2211.04411 (2022) - 2021
- [j1]Berkay Aydin
Spatiotemporal event sequence discovery without thresholds. GeoInformatica 25(1): 149-177 (2021) - [c25]Peiyu Li
Graph-based Clustering for Time Series Data. IEEE BigData 2021: 4464-4467 - [c24]Ali Ahsan Muhummad Muzaheed, Shah Muhammad Hamdi, Soukaïna Filali Boubrahimi:
Sequence Model-based End-to-End Solar Flare Classification from Multivariate Time Series Data. ICMLA 2021: 435-440 - [c23]Shain Shahid Chowdhury, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Time Series Data Augmentation using Time-Warped Auto-Encoders. ICMLA 2021: 467-470 - [c22]Peiyu Li
Shapelets-based Data Augmentation for Time Series Classification. ICMLA 2021: 1373-1378 - 2020
- [c21]Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Ruizhe Ma, Rafal A. Angryk:
On the Mining of the Minimal Set of Time Series Data Shapelets. IEEE BigData 2020: 493-502 - [i1]Gelu Nita, Manolis K. Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason T. L. Wang, Rafal A. Angryk, Berkay Aydin, Azim Ahmadzadeh
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR abs/2006.12224 (2020)
2010 – 2019
- 2019
- [c20]Ruizhe Ma, Azim Ahmadzadeh
Solar Pre-Flare Classification with Time Series Profiling. IEEE BigData 2019: 4967-4976 - [c19]Shah Muhammad Hamdi, Soukaina Filali Boubrahimi, Rafal A. Angryk
Tensor Decomposition-based Node Embedding. CIKM 2019: 2105-2108 - [c18]Ruizhe Ma, Azim Ahmadzadeh
A Scalable Segmented Dynamic Time Warping for Time Series Classification. ICAISC (2) 2019: 407-419 - 2018
- [c17]Shah Muhammad Hamdi
Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks. AIKE 2018: 17-24 - [c16]Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin
Neuro-Ensemble. AIKE 2018: 54-61 - [c15]Soukaina Filali Boubrahimi, Rafal A. Angryk
Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction. AIKE 2018: 162-163 - [c14]Soukaina Filali Boubrahimi, Rafal A. Angryk
Heuristics Significance of Neuro-Ensemble-based Time Series Classification. IEEE BigData 2018: 6-15 - [c13]Ruizhe Ma, Azim Ahmadzadeh
Segmentation of Time Series in Improving Dynamic Time Warping. IEEE BigData 2018: 3756-3761 - [c12]Shah Muhammad Hamdi, Yubao Wu
Tensor Decomposition for Neurodevelopmental Disorder Prediction. BI 2018: 339-348 - [c11]Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk
Time Series Distance Density Cluster with Statistical Preprocessing. DaWaK 2018: 371-381 - [c10]Soukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk
Neuro-Ensemble for Time Series Data Classification. DSAA 2018: 50-59 - [c9]Soukaina Filali Boubrahimi, Ruizhe Ma
Scalable kNN Search Approximation for Time Series Data. ICPR 2018: 970-975 - 2017
- [c8]Soukaina Filali Boubrahimi, Berkay Aydin
On the prediction of >100 MeV solar energetic particle events using GOES satellite data. IEEE BigData 2017: 2533-2542 - [c7]Shah Muhammad Hamdi
A time series classification-based approach for solar flare prediction. IEEE BigData 2017: 2543-2551 - [c6]Ruizhe Ma, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi
Solar flare prediction using multivariate time series decision trees. IEEE BigData 2017: 2569-2578 - [c5]Berkay Aydin
Top-(R%, K) Spatiotemporal Event Sequence Mining. ICDM Workshops 2017: 250-257 - [c4]Ahmet Küçük, Berkay Aydin
An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities. SSTD 2017: 405-410 - 2016
- [c3]Soukaina Filali Boubrahimi, Berkay Aydin
Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances. BDCloud-SocialCom-SustainCom 2016: 97-104 - [c2]Soukaina Filali Boubrahimi, Berkay Aydin
Spatio-temporal interpolation methods for solar events metadata. IEEE BigData 2016: 3149-3157 - [c1]Soukaina Filali Boubrahimi, Berkay Aydin
SOLEV: a video generation framework for solar events from mixed data sources (demo paper). SIGSPATIAL/GIS 2016: 90:1-90:4
Coauthor Index
[i13] [j2] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [i12] [i11] [i10] [i8] [i7] [i6] [i5] [i4] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i3] [i2] [c25] [c24] [c23] [c22] [c21] [c19] [c17] [c12] [c9] [c7] [c6]
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last updated on 2025-04-09 21:30 CEST by the dblp team
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