Pouya Hosseinzadeh

Orcid: 0000-0001-8045-2709

According to our database1, Pouya Hosseinzadeh authored at least 12 papers between 2023 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
XLM-Muriel at SemEval-2025 Task 11: Hard Parameter Sharing for Multi-lingual Multi-label Emotion Detection.
Proceedings of the 19th International Workshop on Semantic Evaluation, 2025

Diverse and Plausible Counterfactual Explanations for Time Series via Latent Space Optimization.
Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

CACTUS: Cross-Aligned Counterfactual Explanation for Time Series Classification.
Proceedings of the 12th IEEE International Conference on Data Science and Advanced Analytics, 2025

Improving Causal Feasibility in Counterfactual Explanations for Multivariate Time Series Classification.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation.
CoRR, 2024

FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Denoising Optimization-Based Counterfactual Explanations for Time Series Classification.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Reliable Time Series Counterfactual Explanations Guided by ShapeDBA.
Proceedings of the IEEE International Conference on Big Data, 2024

ACTS: Adaptive Counterfactual Explanations for Time Series Data Using Barycenters.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Adversarial Attack Driven Data Augmentation for Time Series Classification.
Proceedings of the International Conference on Machine Learning and Applications, 2023

METFORC: Classification with Meta-Learning and Multimodal Stratified Time Series Forest.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Shapelet-Preserving Bootstrapping For Time Series Data Augmentation.
Proceedings of the International Conference on Machine Learning and Applications, 2023


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