Michele Esposito

According to our database, Michele Esposito authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Multi-graph Graph matching for coronary artery semantic labeling in invasive coronary angiograms.

Chen Zhao, Zhihui Xu, Pukar Baral, Michele Esposito, Weihua Zhou

Pattern Recognit., 2026

2025

Data-Balanced Curriculum Learning for Audio Question Answering.

Gijs Wijngaard, Elia Formisano, Michele Esposito, Michel Dumontier

CoRR, July, 2025

AudSemThinker: Enhancing Audio-Language Models through Reasoning over Semantics of Sound.

Gijs Wijngaard, Elia Formisano, Michele Esposito, Michel Dumontier

CoRR, May, 2025

HAGMN-UQ: Hyper association graph matching network with uncertainty quantification for coronary artery semantic labeling.

Chen Zhao, Michele Esposito, Zhihui Xu, Weihua Zhou

Medical Image Anal., 2025

Audio-Language Datasets of Scenes and Events: A Survey.

Gijs Wijngaard, Elia Formisano, Michele Esposito, Michel Dumontier

IEEE Access, 2025

2024

Multi-graph Graph Matching for Coronary Artery Semantic Labeling.

Chen Zhao, Zhihui Xu, Pukar Baral, Michele Esposito, Weihua Zhou

CoRR, 2024

AGFA-Net: Attention-Guided Feature-Aggregated Network for Coronary Artery Segmentation Using Computed Tomography Angiography.

Xinyun Liu, Pengcheng Xiao, Michele Esposito, Manohar Raavi, Chen Zhao

Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024

2023

AGMN: Association graph-based graph matching network for coronary artery semantic labeling on invasive coronary angiograms.

Chen Zhao, Zhihui Xu, Jingfeng Jiang, Michele Esposito, Drew Pienta, Guang-Uei Hung, Weihua Zhou

Pattern Recognit., November, 2023

Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling.

Chen Zhao, Michele Esposito, Zhihui Xu, Weihua Zhou

CoRR, 2023

Semantically-Informed Deep Neural Networks For Sound Recognition.

Michele Esposito, Giancarlo Valente, Yenisel Plasencia Calaña, Michel Dumontier, Bruno L. Giordano, Elia Formisano

Proceedings of the IEEE International Conference on Acoustics, 2023