Shah Muhammad Hamdi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 38

Top Topics

Multivariate Time Series

Top Venues

Publications

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
The LGBTQ+ Minority Stress on Social Media (MiSSoM) Dataset: A Labeled Dataset for Natural Language Processing and Machine Learning. ICWSM (2024)
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)
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)
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps. BigData (2023)
Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi
Motif Alignment for Time Series Data Augmentation. DaWaK (2023)
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Attention-Based Counterfactual Explanation for Multivariate Time Series. DaWaK (2023)
Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi
Adversarial Attack Driven Data Augmentation for Time Series Classification. ICMLA (2023)
Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Shapelet-Preserving Bootstrapping For Time Series Data Augmentation. ICMLA (2023)
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. BigData (2023)
Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Multiloss-Based Optimization for Time Series Data Augmentation. BigData (2023)
Khaznah Alshammari, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
Feature Selection from Multivariate Time Series Data: A Case Study of Solar Flare Prediction. Big Data (2022)
Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification. Big Data (2022)
Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Motif-Guided Time Series Counterfactual Explanations. ICPR Workshops (3) (2022)
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)
Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi
Motif-guided Time Series Counterfactual Explanations. CoRR (2022)
Omar Bahri, Peiyu Li, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi
Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series. ICMLA (2022)
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)
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification. Big Data (2022)
Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi
Shapelet-Based Counterfactual Explanations for Multivariate Time Series. CoRR (2022)
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Fast Counterfactual Explanation for Solar Flare Prediction. ICMLA (2022)
Shah Muhammad Hamdi, Abu Fuad Ahmad, Soukaina Filali Boubrahimi
Multivariate Time Series-based Solar Flare Prediction by Functional Network Embedding and Sequence Modeling. AMLTS (2022)
Rob Johnson, Soukaïna Filali Boubrahimi, Omar Bahri, Shah Muhammad Hamdi
Physics-Informed Neural Networks for Solar Wind Prediction. ICPR Workshops (3) (2022)
Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
On the Mining of Time Series Data Counterfactual Explanations using Barycenters. CIKM (2022)
Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Graph-based Clustering for Time Series Data. IEEE BigData (2021)
Shain Shahid Chowdhury, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Time Series Data Augmentation using Time-Warped Auto-Encoders. ICMLA (2021)
Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Shapelets-based Data Augmentation for Time Series Classification. ICMLA (2021)
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)
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)
Shah Muhammad Hamdi, Rafal A. Angryk
Interpretable Feature Learning of Graphs using Tensor Decomposition. ICDM (2019)
Shah Muhammad Hamdi, Yubao Wu, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris
Identification of Discriminative Subnetwork from fMRI-Based Complete Functional Connectivity Networks. Int. J. Semantic Comput. 13 (1) (2019)
Shah Muhammad Hamdi, Soukaina Filali Boubrahimi, Rafal A. Angryk
Tensor Decomposition-based Node Embedding. CIKM (2019)
Shah Muhammad Hamdi, Berkay Aydin, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris
Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks. AIKE (2018)
Shah Muhammad Hamdi, Yubao Wu, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris
Tensor Decomposition for Neurodevelopmental Disorder Prediction. BI (2018)
Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk
Scalable kNN Search Approximation for Time Series Data. ICPR (2018)
Ruizhe Ma, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi, Rafal A. Angryk
Solar flare prediction using multivariate time series decision trees. IEEE BigData (2017)
Shah Muhammad Hamdi, Dustin Kempton, Ruizhe Ma, Soukaina Filali Boubrahimi, Rafal A. Angryk
A time series classification-based approach for solar flare prediction. IEEE BigData (2017)
Ahmet Küçük, Shah Muhammad Hamdi, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories. BDCloud-SocialCom-SustainCom (2016)
Shah Muhammad Hamdi, Berkay Aydin, Rafal A. Angryk
A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns. ICDM Workshops (2016)