Grigor Bezirganyan

According to our database, Grigor Bezirganyan authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data.

Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion.

Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Uncertainty-Aware Time Series Anomaly Detection.

Paul Wiessner, Grigor Bezirganyan, Sana Sellami, Richard Chbeir, Hans-Joachim Bungartz

Future Internet, 2024

Anomaly Detection from Time Series Under Uncertainty.

Paul Wiessner, Grigor Bezirganyan, Sana Sellami, Richard Chbeir, Hans-Joachim Bungartz

Proceedings of the Big Data Analytics and Knowledge Discovery, 2024

MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning.

Abdelmadjid Chergui, Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Data and Decision Fusion with Uncertainty Quantification for ML-based Healthcare Decision Systems.

Grigor Bezirganyan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data.

Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier

Proceedings of the IEEE International Conference on Big Data, 2023