Soukaina Filali Boubrahimi

According to our database, Soukaina Filali Boubrahimi authored at least 48 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

End-to-End Attention/Transformer Model for Solar Flare Prediction from Multivariate Time Series Data.

Khaznah Alshammari, Kartik Saini, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

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

Predicting Linguistically Sophisticated Social Determinants of Health Disparities with Neural Networks: The Case of LGBTQ+ Minority Stress.

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

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

Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory.

Cory J. Cascalheira, Shah Muhammad Hamdi, Jillian R. Scheer, Koustuv Saha, Soukaina Filali Boubrahimi, Munmun De Choudhury

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Motif-Guided Time Series Counterfactual Explanations.

Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

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

On the Mining of Time Series Data Counterfactual Explanations using Barycenters.

Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 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

Feature Selection from Multivariate Time Series Data: A Case Study of Solar Flare Prediction.

Khaznah Alshammari, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

Proceedings of the IEEE International Conference on Big Data, 2022

Multivariate Time Series-based Solar Flare Prediction by Functional Network Embedding and Sequence Modeling.

Shah Muhammad Hamdi, Abu Fuad Ahmad, Soukaina Filali Boubrahimi

Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Forecasting Multivariate Time Series of the Magnetic Field Parameters of the Solar Events.

Khaznah Alshammari, Shah Muhammad Hamdi, Ali Ahsan Muhummad Muzaheed, Soukaina Filali Boubrahimi

Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2021

Spatiotemporal event sequence discovery without thresholds.

Berkay Aydin, Soukaina Filali Boubrahimi, Ahmet Küçük, Bita Nezamdoust, Rafal A. Angryk

GeoInformatica, 2021

Sequence Model-based End-to-End Solar Flare Classification from Multivariate Time Series Data.

Ali Ahsan Muhummad Muzaheed, Shah Muhammad Hamdi, Soukaïna Filali Boubrahimi

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Shapelets-based Data Augmentation for Time Series Classification.

Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Time Series Data Augmentation using Time-Warped Auto-Encoders.

Shain Shahid Chowdhury, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Graph-based Clustering for Time Series Data.

Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations.

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, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus C. Martens, Ryan M. McGranaghan, Edward Semones, John T. Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

CoRR, 2020

On the Mining of the Minimal Set of Time Series Data Shapelets.

Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Ruizhe Ma, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A Scalable Segmented Dynamic Time Warping for Time Series Classification.

Ruizhe Ma, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, Rafal A. Angryk

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Tensor Decomposition-based Node Embedding.

Shah Muhammad Hamdi, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Solar Pre-Flare Classification with Time Series Profiling.

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Scalable kNN Search Approximation for Time Series Data.

Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Neuro-Ensemble for Time Series Data Classification.

Soukaina Filali Boubrahimi, Ruizhe Ma, Rafal A. Angryk

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Time Series Distance Density Cluster with Statistical Preprocessing.

Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Tensor Decomposition for Neurodevelopmental Disorder Prediction.

Shah Muhammad Hamdi, Yubao Wu, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris

Proceedings of the Brain Informatics - International Conference, 2018

Segmentation of Time Series in Improving Dynamic Time Warping.

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Heuristics Significance of Neuro-Ensemble-based Time Series Classification.

Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks.

Shah Muhammad Hamdi, Berkay Aydin, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

Neuro-Ensemble.

Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Rafal A. Angryk

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction.

Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

2017

An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities.

Ahmet Küçük, Berkay Aydin, Soukaina Filali Boubrahimi, Dustin Kempton, Rafal A. Angryk

Proceedings of the Advances in Spatial and Temporal Databases, 2017

Top-(R%, K) Spatiotemporal Event Sequence Mining.

Berkay Aydin, Ahmet Küçük, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Solar flare prediction using multivariate time series decision trees.

Ruizhe Ma, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A time series classification-based approach for solar flare prediction.

Shah Muhammad Hamdi, Dustin Kempton, Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

On the prediction of >100 MeV solar energetic particle events using GOES satellite data.

Soukaina Filali Boubrahimi, Berkay Aydin, Petrus C. Martens, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

SOLEV: a video generation framework for solar events from mixed data sources (demo paper).

Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Spatio-temporal interpolation methods for solar events metadata.

Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances.

Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Sushant S. Mahajan, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016