Shah Muhammad Hamdi

Orcid: 0000-0002-9303-7835

According to our database1, Shah Muhammad Hamdi authored at least 32 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Attention-Based Counterfactual Explanation for Multivariate Time Series.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Motif Alignment for Time Series Data Augmentation.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps.
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.
Proceedings of the IEEE International Conference on Big Data, 2023

Multiloss-Based Optimization for Time Series Data Augmentation.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Shapelet-Based Counterfactual Explanations for Multivariate Time Series.
CoRR, 2022

Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Motif-Guided Time Series Counterfactual Explanations.
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.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Fast Counterfactual Explanation for Solar Flare Prediction.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

On the Mining of Time Series Data Counterfactual Explanations using Barycenters.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification.
Proceedings of the IEEE International Conference on Big Data, 2022

Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification.
Proceedings of the IEEE International Conference on Big Data, 2022

Feature Selection from Multivariate Time Series Data: A Case Study of Solar Flare Prediction.
Proceedings of the IEEE International Conference on Big Data, 2022

Multivariate Time Series-based Solar Flare Prediction by Functional Network Embedding and Sequence Modeling.
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.
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.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Shapelets-based Data Augmentation for Time Series Classification.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Time Series Data Augmentation using Time-Warped Auto-Encoders.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Graph-based Clustering for Time Series Data.
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.
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.
Int. J. Semantic Comput., 2019

Interpretable Feature Learning of Graphs using Tensor Decomposition.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Tensor Decomposition-based Node Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Scalable kNN Search Approximation for Time Series Data.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Tensor Decomposition for Neurodevelopmental Disorder Prediction.
Proceedings of the Brain Informatics - International Conference, 2018

Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks.
Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

2017
Solar flare prediction using multivariate time series decision trees.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A time series classification-based approach for solar flare prediction.
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.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016


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