Shah Muhammad Hamdi

According to our database, Shah Muhammad Hamdi authored at least 46 papers between 2016 and 2024.

Collaborative distances:

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

2024

Discord-based counterfactual explanations for time series classification.

Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi

Data Min. Knowl. Discov., November, 2024

SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning.

MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

CoRR, 2024

Info-CELS: Informative Saliency Map Guided Counterfactual Explanation.

Peiyu Li, Omar Bahri, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi

CoRR, 2024

Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data.

Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

CoRR, 2024

Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning.

MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

CoRR, 2024

ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation.

MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

CoRR, 2024

The LGBTQ+ Minority Stress on Social Media (MiSSoM) Dataset: A Labeled Dataset for Natural Language Processing and Machine Learning.

Cory J. Cascalheira, Santosh Chapagain, Ryan E. Flinn, Dannie Klooster, Danica Laprade, Yuxuan Zhao, Emily M. Lund, Alejandra Gonzalez, Kelsey Corro, Rikki Wheatley, Ana Gutierrez, Oziel Garcia Villanueva, Koustuv Saha, Munmun De Choudhury, Jillian R. Scheer, Shah Muhammad Hamdi

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

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

Denoising Optimization-Based Counterfactual Explanations for Time Series Classification.

Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi

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

Transformer Model for Multivariate Time Series Classification: A Case Study of Solar Flare Prediction.

Khaznah Alshammari, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

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

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

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

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

Identification of Discriminative Subnetwork from fMRI-Based Complete Functional Connectivity Networks.

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

Int. J. Semantic Comput., 2019

Interpretable Feature Learning of Graphs using Tensor Decomposition.

Shah Muhammad Hamdi, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Data Mining, 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

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

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

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

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

2016

A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns.

Shah Muhammad Hamdi, Berkay Aydin, Rafal A. Angryk

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories.

Ahmet Küçük, Shah Muhammad Hamdi, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk

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