Federico Zocco

According to our database, Federico Zocco authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Towards a Thermodynamical Deep-Learning-Vision-Based Flexible Robotic Cell for Circular Healthcare.

Federico Zocco, Denis Sleath, Shahin Rahimifard

CoRR, 2024

2023

Towards More Efficient EfficientDets and Real-Time Marine Debris Detection.

Federico Zocco, Tzu-Chieh Lin, Ching-I Huang, Hsueh-Cheng Wang, Mohammad Omar Khyam, Mien Van

IEEE Robotics Autom. Lett., April, 2023

Lazy FSCA for unsupervised variable selection.

Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone

Eng. Appl. Artif. Intell., 2023

Visual Material Characteristics Learning for Circular Healthcare.

Federico Zocco, Shahin Rahimifard

CoRR, 2023

Distributed Fixed-Time Consensus Control for Multiple AUV Systems with Input Saturations.

Mien Van, Yuzhu Sun, Stephen McIlvanna, Minh-Nhat Nguyen, Federico Zocco, Zhijie Liu, Hsueh-Cheng Wang

CoRR, 2023

Digital Twins for Marine Operations: A Brief Review on Their Implementation.

Federico Zocco, Hsueh-Cheng Wang, Mien Van

CoRR, 2023

2022

Recovery of linear components: Reduced complexity autoencoder designs.

Federico Zocco, Seán F. McLoone

Eng. Appl. Artif. Intell., 2022

Circularity of Thermodynamical Material Networks: Indicators, Examples and Algorithms.

Federico Zocco, Beatrice Smyth, Pantelis Sopasakis

CoRR, 2022

Towards More Efficient EfficientDets and Low-Light Real-Time Marine Debris Detection.

Federico Zocco, Ching-I Huang, Hsueh-Cheng Wang, Mohammad Omar Khyam, Mien Van

CoRR, 2022

2021

Thermodynamical Material Networks for Modeling, Planning and Control of Circular Material Flows.

Federico Zocco, Beatrice Smyth, Pantelis Sopasakis

CoRR, 2021

Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study.

Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone

CoRR, 2021

Material Measurement Units: Foundations Through a Survey.

Federico Zocco, Seán F. McLoone

CoRR, 2021

2020

Induced Start Dynamic Sampling for Wafer Metrology Optimization.

Gian Antonio Susto, Marco Maggipinto, Federico Zocco, Seán F. McLoone

IEEE Trans Autom. Sci. Eng., 2020

An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training.

Federico Zocco, Seán F. McLoone

CoRR, 2020

2019

What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction.

Marco Maggipinto, Gian Antonio Susto, Federico Zocco, Seán F. McLoone

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2017

Mean Squared Error vs. Frame Potential for Unsupervised Variable Selection.

Federico Zocco, Seán F. McLoone

Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017