ProfessorsProfessors of Università degli Studi di CagliariLuca Piras

Luca Piras

Università degli Studi di Cagliari

H-index: 20

Europe-Italy

About Luca Piras

Luca Piras, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at Università degli Studi di Cagliari, specializes in the field of Content Based Image Retrieval, Relevance Feedback, Pattern Recognition.

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

Adversarial ModSecurity: Countering Adversarial SQL Injections with Robust Machine Learning

Overview of ImageCLEF lifelog 2020: lifelog moment retrieval and sport performance lifelog

Convolutional neural networks for relevance feedback in content based image retrieval: A Content based image retrieval system that exploits convolutional neural networks both …

ImageCLEF 2020: Multimedia retrieval in lifelogging, medical, nature, and internet applications

Overview of the ImageCLEF 2020: Multimedia retrieval in medical, lifelogging, nature, and internet applications

Luca Piras Information

University	Università degli Studi di Cagliari
Position	Co-Founder of Pluribus One Research Assistant @
Citations(all)	1281
Citations(since 2020)	851
Cited By	904
hIndex(all)	20
hIndex(since 2020)	15
i10Index(all)	25
i10Index(since 2020)	18
Email	Access Email
University Profile Page	Università degli Studi di Cagliari
Google Scholar	View Google Scholar Profile

Luca Piras Skills & Research Interests

Content Based Image Retrieval

Relevance Feedback

Pattern Recognition

Top articles of Luca Piras

Title	Journal	Author(s)	Publication Date
Adversarial ModSecurity: Countering Adversarial SQL Injections with Robust Machine Learning	arXiv preprint arXiv:2308.04964	Biagio Montaruli Luca Demetrio Andrea Valenza Battista Biggio Luca Compagna ...	2023/8/9
Overview of ImageCLEF lifelog 2020: lifelog moment retrieval and sport performance lifelog		Van-Tu Ninh Tu-Khiem Le Liting Zhou Luca Piras Michael Alexander Riegler ...	2020
Convolutional neural networks for relevance feedback in content based image retrieval: A Content based image retrieval system that exploits convolutional neural networks both …	Multimedia Tools and Applications	Lorenzo Putzu Luca Piras Giorgio Giacinto	2020/10
ImageCLEF 2020: Multimedia retrieval in lifelogging, medical, nature, and internet applications		Bogdan Ionescu Henning Müller Renaud Péteri Duc-Tien Dang-Nguyen Liting Zhou ...	2020
Overview of the ImageCLEF 2020: Multimedia retrieval in medical, lifelogging, nature, and internet applications		Bogdan Ionescu Henning Müller Renaud Péteri Asma Ben Abacha Vivek Datla ...	2020