Piero Fraternali

About Piero Fraternali

Piero Fraternali, With an exceptional h-index of 46 and a recent h-index of 21 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of Database, Web, Human Computation, Computer Vision, Environment monitoring.

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

Solid Waste Detection in Remote Sensing Images: A Survey

Significant but transient: The impact of an energy saving app targeting Swiss households

DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data

A Novel Social Collaboration Platform for Enhancing Energy Awareness

Black-box error diagnosis in Deep Neural Networks for computer vision: a survey of tools

AerialWaste dataset for landfill discovery in aerial and satellite images

Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms

Water saving tips, peer pressure, and gamification: long-term behavior change and rebound effects from a long experimental trial

Piero Fraternali Information

University

Position

Professor of Computer Science

Citations(all)

11267

Citations(since 2020)

1691

Cited By

10193

hIndex(all)

46

hIndex(since 2020)

21

i10Index(all)

141

i10Index(since 2020)

56

Email

University Profile Page

Google Scholar

Piero Fraternali Skills & Research Interests

Database

Web

Human Computation

Computer Vision

Environment monitoring

Top articles of Piero Fraternali

Solid Waste Detection in Remote Sensing Images: A Survey

2024/2/14

Piero Fraternali
Piero Fraternali

H-Index: 24

Significant but transient: The impact of an energy saving app targeting Swiss households

Applied Energy

2024/2/1

DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data

Neural Computing and Applications

2023/9

Nicolò Oreste Pinciroli Vago
Nicolò Oreste Pinciroli Vago

H-Index: 0

Piero Fraternali
Piero Fraternali

H-Index: 24

A Novel Social Collaboration Platform for Enhancing Energy Awareness

2023/6/2

Black-box error diagnosis in Deep Neural Networks for computer vision: a survey of tools

2023/2

AerialWaste dataset for landfill discovery in aerial and satellite images

Scientific Data

2023/1/31

Rocio Nahime Torres
Rocio Nahime Torres

H-Index: 4

Piero Fraternali
Piero Fraternali

H-Index: 24

Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms

2022/12/22

Piero Fraternali
Piero Fraternali

H-Index: 24

Nicolò Oreste Pinciroli Vago
Nicolò Oreste Pinciroli Vago

H-Index: 0

Water saving tips, peer pressure, and gamification: long-term behavior change and rebound effects from a long experimental trial

Authorea Preprints

2022/11/24

Weakly supervised object detection for remote sensing images: A survey

2022/10/26

Federico Milani
Federico Milani

H-Index: 2

Piero Fraternali
Piero Fraternali

H-Index: 24

Almost rerere: Learning to resolve conflicts in distributed projects

IEEE Transactions on Software Engineering

2022/10/17

Piero Fraternali
Piero Fraternali

H-Index: 24

ODIN AD: a framework supporting the life-cycle of time series anomaly detection applications

LECTURE NOTES IN COMPUTER SCIENCE

2022

Proposals generation for weakly supervised object detection in artwork images

Journal of Imaging

2022/8/6

SODALITE Use Cases

Deployment and Operation of Complex Software in Heterogeneous Execution Environments: The SODALITE Approach

2022/7/14

Odin ts: a tool for the black-box evaluation of time series analytics

Engineering Proceedings

2022/6/20

Anomaly detection in small-scale industrial and household appliances

2022/6/10

Proactive buildings: A prescriptive maintenance approach

2022/6/10

Model-driven development of distributed ledger applications

2022/4/11

Piero Fraternali
Piero Fraternali

H-Index: 24

Learning to identify illegal landfills through scene classification in aerial images

Remote Sensing

2021/11/10

Rocio Nahime Torres
Rocio Nahime Torres

H-Index: 4

Piero Fraternali
Piero Fraternali

H-Index: 24

On the use of class activation maps in remote sensing: the case of illegal landfills

2021/10/6

Rocio Nahime Torres
Rocio Nahime Torres

H-Index: 4

Piero Fraternali
Piero Fraternali

H-Index: 24

ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization

2021/10/4

See List of Professors in Piero Fraternali University(Politecnico di Milano)

Co-Authors

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