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 (BDCloud-SocialCom-SustainCom, 2016)

Spatio-temporal interpolation methods for solar events metadata. - Soukaina Filali Boubrahimi; Berkay Aydin; Dustin Kempton; Rafal A. Angryk (IEEE BigData, 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 (SIGSPATIAL/GIS, 2016)

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 (IEEE BigData, 2017)

A time series classification-based approach for solar flare prediction. - Shah Muhammad Hamdi; Dustin Kempton; Ruizhe Ma; Soukaina Filali Boubrahimi; Rafal A. Angryk (IEEE BigData, 2017)

Solar flare prediction using multivariate time series decision trees. - Ruizhe Ma; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi; Rafal A. Angryk (IEEE BigData, 2017)

Top-(R%, K) Spatiotemporal Event Sequence Mining. - Berkay Aydin; Ahmet Küçük; Soukaina Filali Boubrahimi; Rafal A. Angryk (ICDM Workshops, 2017)

An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities. - Ahmet Küçük; Berkay Aydin; Soukaina Filali Boubrahimi; Dustin Kempton; Rafal A. Angryk (SSTD, 2017)

Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction. - Soukaina Filali Boubrahimi; Rafal A. Angryk (AIKE, 2018)

Neuro-Ensemble. - Soukaina Filali Boubrahimi; Ruizhe Ma; Berkay Aydin; Rafal A. Angryk (AIKE, 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 (AIKE, 2018)

Heuristics Significance of Neuro-Ensemble-based Time Series Classification. - Soukaina Filali Boubrahimi; Rafal A. Angryk (IEEE BigData, 2018)

Segmentation of Time Series in Improving Dynamic Time Warping. - Ruizhe Ma; Azim Ahmadzadeh; Soukaina Filali Boubrahimi; Rafal A. Angryk (IEEE BigData, 2018)

Tensor Decomposition for Neurodevelopmental Disorder Prediction. - Shah Muhammad Hamdi; Yubao Wu; Soukaina Filali Boubrahimi; Rafal A. Angryk; Lisa Crystal Krishnamurthy; Robin D. Morris (BI, 2018)

Time Series Distance Density Cluster with Statistical Preprocessing. - Ruizhe Ma; Soukaina Filali Boubrahimi; Rafal A. Angryk (DaWaK, 2018)

Neuro-Ensemble for Time Series Data Classification. - Soukaina Filali Boubrahimi; Ruizhe Ma; Rafal A. Angryk (DSAA, 2018)

Scalable kNN Search Approximation for Time Series Data. - Soukaina Filali Boubrahimi; Ruizhe Ma; Berkay Aydin; Shah Muhammad Hamdi; Rafal A. Angryk (ICPR, 2018)

Solar Pre-Flare Classification with Time Series Profiling. - Ruizhe Ma; Azim Ahmadzadeh; Soukaina Filali Boubrahimi; Manolis K. Georgoulis; Rafal A. Angryk (IEEE BigData, 2019)

Tensor Decomposition-based Node Embedding. - Shah Muhammad Hamdi; Soukaina Filali Boubrahimi; Rafal A. Angryk (CIKM, 2019)

A Scalable Segmented Dynamic Time Warping for Time Series Classification. - Ruizhe Ma; Azim Ahmadzadeh; Soukaïna Filali Boubrahimi; Rafal A. Angryk (ICAISC (2), 2019)

On the Mining of the Minimal Set of Time Series Data Shapelets. - Soukaina Filali Boubrahimi; Shah Muhammad Hamdi; Ruizhe Ma; Rafal A. Angryk (IEEE BigData, 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; et al. (CoRR, 2020)

Graph-based Clustering for Time Series Data. - Peiyu Li; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (IEEE BigData, 2021)

Time Series Data Augmentation using Time-Warped Auto-Encoders. - Shain Shahid Chowdhury; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (ICMLA, 2021)

Shapelets-based Data Augmentation for Time Series Classification. - Peiyu Li; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (ICMLA, 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 (ICMLA, 2021)

Spatiotemporal event sequence discovery without thresholds. - Berkay Aydin; Soukaina Filali Boubrahimi; Ahmet Küçük; Bita Nezamdoust; Rafal A. Angryk (GeoInformatica, 2021)

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 (AMLTS, 2022)

Multivariate Time Series-based Solar Flare Prediction by Functional Network Embedding and Sequence Modeling. - Shah Muhammad Hamdi; Abu Fuad Ahmad; Soukaina Filali Boubrahimi (AMLTS, 2022)

Feature Selection from Multivariate Time Series Data: A Case Study of Solar Flare Prediction. - Khaznah Alshammari; Shah Muhammad Hamdi; Soukaina Filali Boubrahimi (IEEE Big Data, 2022)

Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification. - Omar Bahri; Peiyu Li; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (IEEE Big Data, 2022)

SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification. - Peiyu Li; Omar Bahri; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (IEEE Big Data, 2022)

On the Mining of Time Series Data Counterfactual Explanations using Barycenters. - Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (CIKM, 2022)

Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series. - Omar Bahri; Peiyu Li; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi (ICMLA, 2022)

Fast Counterfactual Explanation for Solar Flare Prediction. - Peiyu Li; Omar Bahri; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (ICMLA, 2022)

Physics-Informed Neural Networks for Solar Wind Prediction. - Rob Johnson; Soukaïna Filali Boubrahimi; Omar Bahri; Shah Muhammad Hamdi (ICPR Workshops (3), 2022)

Motif-Guided Time Series Counterfactual Explanations. - Peiyu Li; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (ICPR Workshops (3), 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 (ICWSM, 2022)

Shapelet-Based Counterfactual Explanations for Multivariate Time Series. - Omar Bahri; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi (CoRR, 2022)

Multiloss-Based Optimization for Time Series Data Augmentation. - Omar Bahri; Peiyu Li; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (IEEE 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 (IEEE Big Data, 2023)

CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps. - Peiyu Li; Omar Bahri; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (IEEE Big Data, 2023)

Motif Alignment for Time Series Data Augmentation. - Omar Bahri; Peiyu Li; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi (DaWaK, 2023)

Attention-Based Counterfactual Explanation for Multivariate Time Series. - Peiyu Li; Omar Bahri; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (DaWaK, 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 (ICMLA, 2023)

Shapelet-Preserving Bootstrapping For Time Series Data Augmentation. - Omar Bahri; Peiyu Li; Pouya Hosseinzadeh; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (ICMLA, 2023)

METFORC: Classification with Meta-Learning and Multimodal Stratified Time Series Forest. - Pouya Hosseinzadeh; Omar Bahri; Peiyu Li; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi (ICMLA, 2023)

Adversarial Attack Driven Data Augmentation for Time Series Classification. - Peiyu Li; Pouya Hosseinzadeh; Omar Bahri; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi (ICMLA, 2023)

SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning. - MohammadReza EskandariNasab; Shah Muhammad Hamdi; Soukaina Filali Boubrahimi (IEEE Big Data, 2024)

ACTS: Adaptive Counterfactual Explanations for Time Series Data Using Barycenters. - Pouya Hosseinzadeh; Peiyu Li; Omar Bahri; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi (IEEE Big Data, 2024)

Reliable Time Series Counterfactual Explanations Guided by ShapeDBA. - Peiyu Li; Pouya Hosseinzadeh; Omar Bahri; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (IEEE Big Data, 2024)

EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction. - Onur Vural; Shah Muhammad Hamdi; Soukaina Filali Boubrahimi (IEEE Big Data, 2024)

Enhancing Multivariate Time Series-Based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning. - MohammadReza EskandariNasab; Shah Muhammad Hamdi; Soukaina Filali Boubrahimi (ICMLA, 2024)

ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation. - MohammadReza EskandariNasab; Shah Muhammad Hamdi; Soukaina Filali Boubrahimi (ICMLA, 2024)

M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps. - Peiyu Li; Omar Bahri; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (ICMLA, 2024)

Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data. - Onur Vural; Shah Muhammad Hamdi; Soukaina Filali Boubrahimi (ICMLA, 2024)

Transformer Model for Multivariate Time Series Classification: A Case Study of Solar Flare Prediction. - Khaznah Alshammari; Shah Muhammad Hamdi; Soukaina Filali Boubrahimi (ICPR (24), 2024)

Denoising Optimization-Based Counterfactual Explanations for Time Series Classification. - Omar Bahri; Peiyu Li; Pouya Hosseinzadeh; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi (ICPR (7), 2024)

FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification. - Pouya Hosseinzadeh; Omar Bahri; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi (ICPR (2), 2024)

Forest Proximities for Time Series. - Ben Shaw 003; Jake S. Rhodes; Soukaina Filali Boubrahimi; Kevin R. Moon (CoRR, 2024)

Info-CELS: Informative Saliency Map Guided Counterfactual Explanation. - Peiyu Li; Omar Bahri; Pouya Hosseinzadeh; Soukaïna Filali Boubrahimi; Shah Muhammad Hamdi (CoRR, 2024)

Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media Discourse. - 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 (CoRR, 2024)

Discord-based counterfactual explanations for time series classification. - Omar Bahri; Peiyu Li; Soukaina Filali Boubrahimi; Shah Muhammad Hamdi (Data Min. Knowl. Discov., 2024)

AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation. - MohammadReza EskandariNasab; Shah Muhammad Hamdi; Soukaina Filali Boubrahimi (SDM, 2025)