Vincenzo Piuri

Professor

Università degli Studi di Torino

Italy

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Professor Vincenzo Piuri is a faculty member at Università degli Studi di Milano, Italy. His research interests include federated learning, remote sensing change detection, and anomaly detection in various contexts. He has contributed to significant publications addressing topics such as DDoS attack detection, metal surface defect recognition, and autonomous transportation with artificial intelligence.

Vincenzo Piuri

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Articles (26)

FELACS: Federated learning with adaptive client selection for IoT DDoS attack detection

AEGL-Net: Adaptive Multiscale Global–Local Feature Fusion Network for Remote Sensing Change Detection

Bidirectional Feature Pyramid Siamese Anomaly Detection Network With Cellular Anomaly Generation for Container Marking

CLIP-Vision Guided Few-Shot Metal Surface Defect Recognition

GMTNet: Dense Object Detection via Global Dynamically Matching Transformer Network

Spatial Reconstruction and Joint Training in Transformer Network for Cross-Domain Remote Sensing Images Semantic Segmentation

New Incoming EIC Editorial

Robust DDoS attack detection with adaptive transfer learning

DBCG-Net: Dual Branch Calibration Guided Deep Network for UAV Images Semantic Segmentation

DGMA2-Net: A Difference-Guided Multiscale Aggregation Attention Network for Remote Sensing Change Detection

Data-Driven Container Marking Detection and Recognition System With an Open Large-Scale Scene Text Dataset

Large-Scale High-Altitude UAV-Based Vehicle Detection via Pyramid Dual Pooling Attention Path Aggregation Network

Guest Editorial Special Issue on Future Trends and Transition in Connected and Autonomous Transportation With Artificial Intelligence and Robotics

Guest Editorial: Special Issue on Knowledge-Infused Learning for Computational Social Systems

Editorial: Foreword to the Special Issue on Artificial Intelligence for Hyper- and Multispectral Remote Sensing Image Processing

LDCL: Low-Confidence Discriminant Contrastive Learning for Small-Sample SAR ATR

In-Memory Computing: The Emerging Computing Topic in the Post-von Neumann Era

DL4ALL: Multi-Task Cross-Dataset Transfer Learning for Acute Lymphoblastic Leukemia Detection

Dynamically aggregating MLPs and CNNs for skin lesion segmentation with geometry regularization

Antennan Parameter Measurement Network with Dual Attention and Focus Loss Using UAV

Dual Consistency Alignment Based Self-Supervised Learning for SAR Target Recognition With Speckle Noise Resistance

Flexible and Diverse Contrastive Learning for Steel Surface Defect Recognition With Few Labeled Samples

Introduction to the Special Section on Internet of Behavior for Emerging Technologies

Guest Editorial Innovations in Wearable, Implantable, Mobile, & Remote Healthcare With IoT & Sensor Informatics and Patient Monitoring

Guest Editorial: IEEE Transactions on Emerging Topics in Computing Thematic Section on Memory- Centric Designs: Processing-in-Memory, In-Memory Computing, and Near-Memory Computing for Real-World Applications

Efficient IoT Big Data Streaming With Deep-Learning-Enabled Dynamics

Collaborators (3)

Konstantinos Plataniotis

Paolo Montuschi

Angelo Genovese

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