Semantically-Informed Deep Neural Networks For Sound Recognition. - Michele Esposito; Giancarlo Valente; Yenisel Plasencia Calaña; Michel Dumontier; Bruno L. Giordano; Elia Formisano (ICASSP, 2023)

Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling. - Chen Zhao; Michele Esposito; Zhihui Xu; Weihua Zhou (CoRR, 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., 2023)

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 (ICTAI, 2024)

Multi-graph Graph Matching for Coronary Artery Semantic Labeling. - Chen Zhao; Zhihui Xu; Pukar Baral; Michele Esposito; Weihua Zhou (CoRR, 2024)

Audio-Language Datasets of Scenes and Events: A Survey. - Gijs Wijngaard; Elia Formisano; Michele Esposito; Michel Dumontier (IEEE Access, 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)

AudSemThinker: Enhancing Audio-Language Models through Reasoning over Semantics of Sound. - Gijs Wijngaard; Elia Formisano; Michele Esposito; Michel Dumontier (CoRR, 2025)

Data-Balanced Curriculum Learning for Audio Question Answering. - Gijs Wijngaard; Elia Formisano; Michele Esposito; Michel Dumontier (CoRR, 2025)

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)