Stefano Ceri

Professor

Politecnico di Milano

Italy

Research Interests

Explore related searches

Professors in Italy

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Stefano Ceri is a faculty member at Politecnico di Milano, Italy. His research primarily focuses on areas such as the development of knowledge graphs in legislation, the impact of COVID-19 on research topics, and advanced methodologies for representation learning in multi-omics datasets. He has contributed to the understanding of data-driven approaches in virology and AI-supported processes within the judicial system, among other topics.

Articles (18)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (6)

Barbara Pernici

Professor

Politecnico di Milano

ITALY

View details

Federica Rey

University of Milan

ITALY

View details

Stephana Carelli

University of Milan

ITALY

View details

CINZIA CAPPIELLO

Associate professor

Politecnico di Milano

ITALY

View details

MATTEO CHIARA

Associate Professor

University of Milan

ITALY

View details

Manuela Teresa Raimondi

Full Professor of Bioengineering

Politecnico di Milano

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Stefano Ceri

Research Interests

Explore related searches

Contact this professor

About

Articles (18)

An LLM-assisted ETL pipeline to build a high-quality knowledge graph of the Italian legislation

Non-Negative Matrix Tri-Factorization for Representation Learning in Multi-Omics Datasets with Applications to Drug Repurposing and Selection

Challenges in AI-supported Process Analysis in the Italian Judicial System: what After Digitalization?

Exploring the evolution of research topics during the COVID-19 pandemic

Searching COVID-19 Clinical Research Using Graph Queries: Algorithm Development and Validation

Data-driven recombination detection in viral genomes

Publisher Correction: Social and economic variables explain COVID-19 diffusion in European regions

Social and economic variables explain COVID-19 diffusion in European regions

PoliViews: A comprehensive and modular approach to the conceptual modeling of genomic data

VariantHunter: a method and tool for fast detection of emerging SARS-CoV-2 variants

Ask Your Data—Supporting Data Science Processes by Combining AutoML and Conversational Interfaces

CoVEffect: interactive system for mining the effects of SARS-CoV-2 mutations and variants based on deep learning

Predicting Drug Synergism by Means of Non-Negative Matrix Tri-Factorization

CoV2K model, a comprehensive representation of SARS-CoV-2 knowledge and data interplay

ViruClust: direct comparison of SARS-CoV-2 genomes and genetic variants in space and time

META-BASE: A Novel Architecture for Large-Scale Genomic Metadata Integration

Analysis of co-occurring and mutually exclusive amino acid changes and detection of convergent and divergent evolution events in SARS-CoV-2

VirusLab: A Tool for Customized SARS-CoV-2 Data Analysis

Collaborators (6)

Barbara Pernici

Federica Rey

Stephana Carelli

CINZIA CAPPIELLO

MATTEO CHIARA

Manuela Teresa Raimondi

Make your next move.