Beatrice Amico

Assistant Professor, Department of Computer Science, University of Verona

Joined

May 2025

Names

Beatrice Amico (Preferred)

Emails

****@univr.it (Confirmed)

Personal Links

DBLP

Career & Education History

Assistant Professor

Department of Computer Science, University of Verona (univr.it)

2025 – 2028

Advisors, Relations & Conflicts

No relations added

Expertise

Temporal data mining

Present

Time series

Present

Explainability and temporal data

Present

Temporal knowledge discovery

Present

Knowledge graph databases

Present

Publications

Knowledge Graphs for Clinical Data: Strategies and Challenges with an Application to MIMIC III Dataset
Beatrice Amico, Carlo Combi
- Crossref
- Readers: Everyone
Knowledge Graphs for Clinical Data: Strategies and Challenges with an Application to MIMIC III Dataset
Beatrice Amico, Carlo Combi
- AIME (2) 2025
- Readers: Everyone
Predictive mining of multi-temporal relations
Beatrice Amico, Carlo Combi, Romeo Rizzi, Pietro Sala
- Inf. Comput. 2024
- Readers: Everyone
Enhancing Business Process Models with Ethical Considerations
Beatrice Amico, Carlo Combi, Anna Dalla Vecchia, Sara Migliorini, Barbara Oliboni, Elisa Quintarelli
- EDOC Workshops 2024
- Readers: Everyone
Supporting the Prediction of AKI Evolution Through Interval-Based Approximate Predictive Functional Dependencies
Beatrice Amico, Carlo Combi
- AIME 2023
- Readers: Everyone
Explainable temporal data mining techniques to support the prediction task in Medicine
Beatrice Amico
- undefined 2023
- Readers: Everyone
Discovering Predictive Dependencies on Multi-Temporal Relations
Beatrice Amico, Carlo Combi, Romeo Rizzi, Pietro Sala
- TIME 2023
- Readers: Everyone
A manifesto on explainability for artificial intelligence in medicine
Carlo Combi, Beatrice Amico, Riccardo Bellazzi, Andreas Holzinger, Jason H. Moore, Marinka Zitnik, John H. Holmes
- Artif. Intell. Medicine 2022
- Readers: Everyone
A 3-Window Framework for the Discovery and Interpretation of Predictive Temporal Functional Dependencies
Beatrice Amico, Carlo Combi
- AIME 2022
- Readers: Everyone
A Reproducible ETL Approach for Window-based Prediction of Acute Kidney Injury in Critical Care Unit and Some Preliminary Results with Support Vector Machines
Isabela A. Chiorean, Beatrice Amico, Carlo Combi, John H. Holmes
- BIBM 2021
- Readers: Everyone

View all 12 publications

Beatrice Amico

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors