VLDB 2026 Research / reviewers in the wild / expert
Antonio De Santis
dblp:88/2568
· DBLP profile ↗
3ranked-venue papers
2as first author
3since 2021 · last 2026
0009-0006-7579-1080ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 2 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Trustworthy machine learning · 100% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Trustworthy machine learning
interpretability |
0.8 | 1 | 2024 | Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification · IJCAI 2024 |
Machine learning › Trustworthy machine learning › interpretability
post-hoc explanation |
0.8 | 1 | 2024 | Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification · IJCAI 2024 |
Visualization and visual analytics
graph visualization |
0.8 | 1 | 2024 | Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification · IJCAI 2024 |
Visualization and visual analytics
human-in-the-loop |
0.8 | 1 | 2024 | Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification · IJCAI 2024 |
Methods — techniques the papers use, named apart from their topics
human-in-the-loop · 1.5CNN · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | LLM-Enhanced Semantic Data Integration of Electronic Component Qualifications in the Aerospace Domain
Antonio De Santis, Marco Balduini, Matteo Belcao, Andrea Proia, Marco Brambilla 0001, Emanuele Della Valle |
ESWC (2) | 1 |
| 2024 | Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
Antonio De Santis, Andrea Tocchetti, Marco Brambilla 0001 |
IJCAI | 2 |
| 2024 | Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Data
Antonio De Santis, Marco Balduini, Federico De Santis, Andrea Proia, Arsenio Leo, Marco Brambilla 0001, Emanuele Della Valle |
ISWC (3) | 1 |