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PROPHET: explainable predictive process monitoring with heterogeneous graph neural networks

Published in IEEE Transactions on Services Computing, 2024

This paper proposes a graph-based approach to solving next activity prediction task for explainable predictive process monitoring.

Recommended citation: Pasquadibisceglie, V., Scaringi, R., Appice A., Castellano, G., Malerba D. (2024). "PROPHET: Explainable Predictive Process Monitorning With Heterogeneous Graph Neural Networks; IEEE-TSC. 17.
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GraphCLIP: Image-graph contrastive learning for multimodal artwork classification

Published in Knowledge-Based Systems, 2025

This paper proposed a contrastive learning framework for context-aware explainable artwork classification.

Recommended citation: Scaringi, R., Fiameni, G., Vessio, G., Castellano, G (2025). "GraphCLIP: Image-graph contrastive learning for multimodal artwork classification; KBS. 310 (112857).
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Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts

Published in 28th International Conference on Artificial Intelligence, 2025

This paper introduces a novel method for multi-class few-shot semantic segmentation, enabling users to provide different prompt types, such as masks, bounding boxes, and points.

Recommended citation: De Marinis, P., Fanelli N., Scaringi, R., Colonna, E., Fiameni, G., Vessio, G., Castellano, G. (2025) "Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts" ECAI 2025.
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Pixel Art

Middle School Course, Istituto Onnicomprensivo Tattoli-De Gasperi, 2024