Mean Squared Error vs. Frame Potential for Unsupervised Variable Selection. - Federico Zocco; Seán F. McLoone (LSMS/ICSEE (2), 2017)

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 (CASE, 2019)

An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training. - Federico Zocco; Seán F. McLoone (CoRR, 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)

Material Measurement Units: Foundations Through a Survey. - Federico Zocco; Seán F. McLoone (CoRR, 2021)

Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study. - Federico Zocco; Marco Maggipinto; Gian Antonio Susto; Seán F. McLoone (CoRR, 2021)

Thermodynamical Material Networks for Modeling, Planning and Control of Circular Material Flows. - Federico Zocco; Beatrice Smyth; Pantelis Sopasakis (CoRR, 2021)

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)

Circularity of Thermodynamical Material Networks: Indicators, Examples and Algorithms. - Federico Zocco; Beatrice Smyth; Pantelis Sopasakis (CoRR, 2022)

Recovery of linear components: Reduced complexity autoencoder designs. - Federico Zocco; Seán F. McLoone (Eng. Appl. Artif. Intell., 2022)

Digital Twins for Marine Operations: A Brief Review on Their Implementation. - Federico Zocco; Hsueh-Cheng Wang; Mien Van (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 001; Hsueh-Cheng Wang (CoRR, 2023)

Visual Material Characteristics Learning for Circular Healthcare. - Federico Zocco; Shahin Rahimifard (CoRR, 2023)

Lazy FSCA for unsupervised variable selection. - Federico Zocco; Marco Maggipinto; Gian Antonio Susto; Seán F. McLoone (Eng. Appl. Artif. Intell., 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., 2023)

A Unification Between Deep-Learning Vision, Compartmental Dynamical Thermodynamics, and Robotic Manipulation for a Circular Economy. - Federico Zocco; Wassim M. Haddad 001; Andrea Corti; Monica Malvezzi (IEEE Access, 2024)

Towards a Thermodynamical Deep-Learning-Vision-Based Flexible Robotic Cell for Circular Healthcare. - Federico Zocco; Denis Sleath; Shahin Rahimifard (CoRR, 2024)

Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Medical Materials. - Federico Zocco; Daniel Lake; Shahin Rahimifard (CoRR, 2024)

Control of Multiple AUV Systems With Input Saturations Using Distributed Fixed-Time Consensus Fuzzy Control. - Mien Van; Yuzhu Sun; Stephen McIlvanna; Minh-Nhat Nguyen; Federico Zocco; Zhijie Liu 001 (IEEE Trans. Fuzzy Syst., 2024)

Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Materials in Circular Healthcare. - Federico Zocco; Daniel Lake; Seán F. McLoone; Shahin Rahimifard (IEEE Trans. Instrum. Meas., 2025)

Circular Microalgae-Based Carbon Control for Net Zero. - Federico Zocco; Joan García; Wassim M. Haddad 001 (CoRR, 2025)

CiRL: Open-Source Environments for Reinforcement Learning in Circular Economy and Net Zero. - Federico Zocco; Andrea Corti; Monica Malvezzi (CoRR, 2025)

CIRO7.2: A Material Network with Circularity of -7.2 and Reinforcement-Learning-Controlled Robotic Disassembler. - Federico Zocco; Monica Malvezzi (CoRR, 2025)