Grigor Bezirganyan

11 papers A* 1A 2B 3Journal 4Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
EM-SEC: Efficient Multi-head Set-Valued Evidential Classification.
ECML/PKDD (2)
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2025 A* conf
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data.
SIGIR
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2025 A conf
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion.
AISTATS
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2024 B conf
Anomaly Detection from Time Series Under Uncertainty.
DaWaK
Paul Wiessner, Grigor Bezirganyan, Sana Sellami, Richard Chbeir, Hans-Joachim Bungartz
2024 J jnl
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data.
CoRR
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2024 B conf
MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning.
IEEE Big Data
Abdelmadjid Chergui, Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2024 J jnl
MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning.
CoRR
Abdelmadjid Chergui, Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2024 J jnl
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion.
CoRR
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2024 J jnl
Uncertainty-Aware Time Series Anomaly Detection.
Future Internet
Paul Wiessner, Grigor Bezirganyan, Sana Sellami, Richard Chbeir, Hans-Joachim Bungartz
2023 A conf
Data and Decision Fusion with Uncertainty Quantification for ML-based Healthcare Decision Systems.
CIKM
Grigor Bezirganyan
2023 B conf
M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data.
IEEE Big Data
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier