Pasquale Foggia

Pasquale Foggia

Università degli Studi di Salerno

H-index: 41

Europe-Italy

About Pasquale Foggia

Pasquale Foggia, With an exceptional h-index of 41 and a recent h-index of 22 (since 2020), a distinguished researcher at Università degli Studi di Salerno, specializes in the field of Artificial Intelligence, Pattern Recognition, Computer Vision, Graph Theory, Biomedical Imaging.

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

Identity, Gender, Age, and Emotion Recognition from Speaker Voice with Multi-task Deep Networks for Cognitive Robotics

Multi-task learning on the edge for effective gender, age, ethnicity and emotion recognition

Few-shot re-identification of the speaker by social robots

Degramnet: effective audio analysis based on a fully learnable time–frequency representation

Proceedings of the 13th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition

Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks

Autonomous mobile robot for automatic out of stock detection in a supermarket

Graph-Based Representations in Pattern Recognition: 13th IAPR-TC-15 International Workshop, GbRPR 2023, Vietri sul Mare, Italy, September 6–8, 2023, Proceedings

Pasquale Foggia Information

University

Position

Professor of Computer Engineering

Citations(all)

10328

Citations(since 2020)

3600

Cited By

8363

hIndex(all)

41

hIndex(since 2020)

22

i10Index(all)

94

i10Index(since 2020)

47

Email

University Profile Page

Università degli Studi di Salerno

Google Scholar

View Google Scholar Profile

Pasquale Foggia Skills & Research Interests

Artificial Intelligence

Pattern Recognition

Computer Vision

Graph Theory

Biomedical Imaging

Top articles of Pasquale Foggia

Title

Journal

Author(s)

Publication Date

Identity, Gender, Age, and Emotion Recognition from Speaker Voice with Multi-task Deep Networks for Cognitive Robotics

Cognitive Computation

Pasquale Foggia

Antonio Greco

Antonio Roberto

Alessia Saggese

Mario Vento

2024/2/5

Multi-task learning on the edge for effective gender, age, ethnicity and emotion recognition

Engineering Applications of Artificial Intelligence

Pasquale Foggia

Antonio Greco

Alessia Saggese

Mario Vento

2023/2/1

Few-shot re-identification of the speaker by social robots

Autonomous Robots

Pasquale Foggia

Antonio Greco

Antonio Roberto

Alessia Saggese

Mario Vento

2023/2

Degramnet: effective audio analysis based on a fully learnable time–frequency representation

Neural Computing and Applications

Pasquale Foggia

Antonio Greco

Antonio Roberto

Alessia Saggese

Mario Vento

2023/9

Proceedings of the 13th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition

Mario Vento

Pasquale Foggia

Donatello Conte

Vincenzo Carletti

2023

Detecting Abnormal Communication Patterns in IoT Networks Using Graph Neural Networks

Vincenzo Carletti

Pasquale Foggia

Mario Vento

2023/8/24

Autonomous mobile robot for automatic out of stock detection in a supermarket

Giuseppe De Simone

Pasquale Foggia

Alessia Saggese

Mario Vento

2023

Graph-Based Representations in Pattern Recognition: 13th IAPR-TC-15 International Workshop, GbRPR 2023, Vietri sul Mare, Italy, September 6–8, 2023, Proceedings

Mario Vento

Pasquale Foggia

Donatello Conte

Vincenzo Carletti

2023/8/23

A social robot architecture for personalized real-time human-robot interaction

IEEE Internet of Things Journal

Pasquale Foggia

Antonio Greco

Antonio Roberto

Alessia Saggese

Mario Vento

2023/8/8

A Linked Data Application for Harmonizing Heterogeneous Biomedical Information

Applied Sciences

Nicola Capuano

Pasquale Foggia

Luca Greco

Pierluigi Ritrovato

2022/9/16

Editorial paper for pattern recognition letters VSI on advances in graph-based recognition for pattern recognition

Shaohua Wan

Zan Gao

Hanwang Zhang

Chang Xiaojun

Chen Chen

...

2022/8

A semantic framework supporting multilayer networks analysis for rare diseases

International Journal on Semantic Web and Information Systems (IJSWIS)

Nicola Capuano

Pasquale Foggia

Luca Greco

Pierluigi Ritrovato

2022/1/1

Machine Learning Methodologies for Preventing Malware Obfuscation

Vincenzo Carletti

Alessia Saggese

Pasquale Foggia

Antonio Greco

Mario Vento

2022/11/10

Parallel Subgraph Isomorphism on Multi-core Architectures: A Comparison of Four Strategies Based on Tree Search

Vincenzo Carletti

Pasquale Foggia

Antonio Greco

Mario Vento

2021

Two parallel versions of VF3: Performance analysis on a wide database of graphs

Pattern Recognition Letters

Vincenzo Carletti

Pasquale Foggia

Gennaro Percannella

Pierluigi Ritrovato

Mario Vento

2021/6/1

Predicting polypharmacy side effects through a relation-wise graph attention network

Vincenzo Carletti

Pasquale Foggia

Antonio Greco

Antonio Roberto

Mario Vento

2021

Special issue on “Applications of graph-based techniques to pattern recognition”

Pasquale Foggia

Mario Vento

Cheng-Lin Liu

2020/6

Comparing performance of graph matching algorithms on huge graphs

Pattern Recognition Letters

Vincenzo Carletti

Pasquale Foggia

Antonio Greco

Alessia Saggese

Mario Vento

2020/6/1

Trends in graph-based representations for pattern recognition

Pattern Recognition Letters

Luc Brun

Pasquale Foggia

Mario Vento

2020/6/1

See List of Professors in Pasquale Foggia University(Università degli Studi di Salerno)