Simona Colucci
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A multimodal framework for assessing the link between pathomics, transcriptomics, and pancreatic cancer mutations Open
In Pancreatic Ductal Adenocarcinoma (PDAC), predicting genetic mutations directly from histopathological images using Deep Learning can provide valuable insights. The combination of several omics can provide further knowledge on mechanisms…
LISE: A Logic-Based Interactive Similarity Explainer for Clusters of RDF Data Open
Clustering methods are instrumental in the preliminary analysis of unstructured data, yet interpreting the resulting groups—-especially in the context of RDF (Resource Description Framework) data—-poses significant challenges. This paper i…
Computing the Commonalities of Clusters in Resource Description Framework: Computational Aspects Open
Clustering is a very common means of analysis of the data present in large datasets, with the aims of understanding and summarizing the data and discovering similarities, among other goals. However, despite the present success of the use o…
Explaining Clusters in RDF Datasets: Computational Aspects Open
Clustering is a very common analysis of data present in large datasets, with the aims of understanding and summarizing data, and discovering similarities, among others. However, despite the present success of subsymbolic methods for data c…
Enhancing Survival Analysis Model Selection through XAI(t) in Healthcare Open
Artificial intelligence algorithms have become extensively utilized in survival analysis for high-dimensional, multi-source data. However, due to their complexity, these methods often yield poorly interpretable outcomes, posing challenges …
A review of reasoning characteristics of <span>RDF</span>‐based Semantic Web systems Open
Presented as a research challenge in 2001, the Semantic Web (SW) is now a mature technology, used in several cross‐domain applications. One of its key benefits is a formal semantics of its RDF data format, which enables a system to validat…
ARGO, Automatic Record Generator for Oncology: a natural language process-based tool to capture pathology features from onco-hematological reports (Preprint) Open
BACKGROUND The unstructured nature of medical data from Real-World (RW) patients and the scarce accessibility for researchers to integrated systems restrain the use of RW information for clinical and translational research purposes. Natura…
Semantic-based Approach to Task Assignment of Individual Profiles Open
This paper is focused on the problem of skill matching in an organizational context. We endow the classical weighted bipartite graph approach with a semantic based assignment of arcs weight and we describe a skill matching system implement…
Checking compliance of semantic web applications with RDFS‐semantics Open
Web applications calling themselves “Semantic” count in the hundreds, yet there is no clear definition about what this qualification should stand for. Semantic web applications may range from those just using Resource Description Framework…
Run-time architectural modeling for future internet applications Open
Interoperability, flexibility, and adaptability are key requirements of future internet applications. Convergence of contents, services, things, and networks can be the cornerstone to fulfill these requirements. Such rich and composite sou…
Towards a Goal-oriented Approach to Adaptable Re-deployment of Cloud-based Applications Open
Due to the on-demand and dynamic nature of Cloud, there is an increasing interest for automated management of adaptation and (possibly) re-deployment of cloud applications to realize quality requirements and evolution needs autonomously at…