Enzo Veltri

About Enzo Veltri

Enzo Veltri, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Università degli Studi della Basilicata, specializes in the field of Databases, Information Systems, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Similarity Measures For Incomplete Database Instances

Generation of Training Examples for Tabular Natural Language Inference

Data ambiguity profiling for the generation of training examples

Attribute Ambiguity Discovery: A Deep Learning Approach via Unsupervised Learning

Lightweight Extensible Frameworks for IoT Applications

Pythia: Unsupervised generation of ambiguous textual claims from relational data

Ambiguity detection and textual claims generation from relational data

Iot helper: A lightweight and extensible framework for fast-prototyping iot architectures

Enzo Veltri Information

University

Position

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Citations(all)

157

Citations(since 2020)

128

Cited By

83

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Enzo Veltri Skills & Research Interests

Databases

Information Systems

Machine Learning

Top articles of Enzo Veltri

Similarity Measures For Incomplete Database Instances

2024

Generation of Training Examples for Tabular Natural Language Inference

Proceedings of the ACM on Management of Data

2023/12/12

Data ambiguity profiling for the generation of training examples

2023/4/3

Attribute Ambiguity Discovery: A Deep Learning Approach via Unsupervised Learning

CEUR WORKSHOP PROCEEDINGS

2023

Lightweight Extensible Frameworks for IoT Applications

2023

Pythia: Unsupervised generation of ambiguous textual claims from relational data

2022/6/10

Ambiguity detection and textual claims generation from relational data

CEUR WORKSHOP PROCEEDINGS

2022

Enzo Veltri
Enzo Veltri

H-Index: 3

Donatello Santoro
Donatello Santoro

H-Index: 9

Iot helper: A lightweight and extensible framework for fast-prototyping iot architectures

Applied Sciences

2021/10/17

Diogene-CT: tools and methodologies for teaching and learning coding

International Journal of Educational Technology in Higher Education

2021/3/5

Spice-up your coding lessons with the ACME approach

CEUR WORKSHOP PROCEEDINGS

2021

Greg, ml–machine learning for healthcare at a scale

Health and Technology

2020/11

See List of Professors in Enzo Veltri University(Università degli Studi della Basilicata)

Co-Authors

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