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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
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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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Pixel Art
Middle School Course, Istituto Onnicomprensivo Tattoli-De Gasperi, 2024