Alessandro BRUNO

Tenure-Track Assistant Professor

IULM University

Italy

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Alessandro Bruno is a Tenure-Track Assistant Professor at IULM University in Italy. His research interests encompass computer vision, artificial intelligence, and multimedia data analysis, particularly in applications related to healthcare and smart city environments. Recent publications include work on lung sound disease detection, deep learning for enhanced clinical insight, and innovative approaches to perceptual evaluation using attention mechanisms.

Alessandro BRUNO

Research Interests

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Articles (19)

Editorial: Computer vision and AI in real-world applications: robustness, generalization, and engineering

Lung sound disease detection using attention over pre-trained efficientnet architecture

Special issue: Multimedia data analysis for smart city environment safety

Empowering PET: harnessing deep learning for improved clinical insight

AVAtt : Art Visual Attention dataset for diverse painting styles

Object Counting via Group and Graph Attention Network

Perceptual Evaluation of Masked AutoEncoder Emergent Properties Through Eye-Tracking-Based Policy

Enhancing Fingerprint Liveness Detection Accuracy Using Deep Learning: A Comprehensive Study and Novel Approach

Machine-Learning Techniques for Predicting Phishing Attacks in Blockchain Networks: A Comparative Study

The Development of an Intelligent Agent to Detect and Non-Invasively Characterize Lung Lesions on CT Scans: Ready for the “Real World”?

Crowd Counting via Attention and Multi-feature Fused Network

The Development of an Intelligent Agent to Detect and Non-Invasively Characterize Lung Lesions on CT Scans: Ready for the "Real World"?

Sign and Human Action Detection Using Deep Learning

Image Augmentation Techniques for Mammogram Analysis

SATSal: A Multi-Level Self-Attention Based Architecture for Visual Saliency Prediction

A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms

A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms

Sensitivity of the Cherenkov Telescope Array for probing cosmology and fundamental physics with gamma-ray propagation

Toward a head movement-based system for multilayer digital content exploration

Collaborators (23)

Luis Ángel Tejedor Álvarez

Marco Iarlori

Mohamed S. Shehata

Arturo Chiti

Ralf Kissmann

Maria Chernyakova

Juan Barrio

Martina Sollini

aladine chetouani

Jian Chang

Jaime Rosado

Jose Miguel Miranda

Csaba Balazs

Nicolas Produit

Mitsunari Takahashi

Pedro Luis Luque-Escamilla

Daniel Nieto

Margarita Kirienko

Daniel Mazin

Juan Manuel Corchado

Oibar Martínez Vílchez

Festus Adedoyin

Miha Živec

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