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ORCIDFederico Zocco
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2020 – today
- 2024
[j6]Federico Zocco
, Wassim M. Haddad, Andrea Corti, Monica Malvezzi:
A Unification Between Deep-Learning Vision, Compartmental Dynamical Thermodynamics, and Robotic Manipulation for a Circular Economy. IEEE Access 12: 173502-173516 (2024)- [j5]Mien Van, Yuzhu Sun, Stephen McIlvanna, Minh-Nhat Nguyen, Federico Zocco, Zhijie Liu:
Control of Multiple AUV Systems With Input Saturations Using Distributed Fixed-Time Consensus Fuzzy Control. IEEE Trans. Fuzzy Syst. 32(5): 3142-3153 (2024) - [i13]Federico Zocco, Denis Sleath, Shahin Rahimifard:
Towards a Thermodynamical Deep-Learning-Vision-Based Flexible Robotic Cell for Circular Healthcare. CoRR abs/2402.05551 (2024) - [i12]Federico Zocco, Daniel Lake, Shahin Rahimifard:
Synchronized Object Detection for Autonomous Sorting, Mapping, and Quantification of Medical Materials. CoRR abs/2405.06821 (2024) - [i11]Federico Zocco, Wassim M. Haddad, Andrea Corti, Monica Malvezzi:
A Unification Between Deep-Learning Vision, Compartmental Dynamical Thermodynamics, and Robotic Manipulation for a Circular Economy. CoRR abs/2405.14406 (2024) - 2023
- [j4]Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone:
Lazy FSCA for unsupervised variable selection. Eng. Appl. Artif. Intell. 124: 106624 (2023) - [j3]Federico Zocco, Tzu-Chieh Lin, Ching-I Huang, Hsueh-Cheng Wang, Mohammad Omar Khyam, Mien Van:
Towards More Efficient EfficientDets and Real-Time Marine Debris Detection. IEEE Robotics Autom. Lett. 8(4): 2134-2141 (2023) - [i10]Federico Zocco, Hsueh-Cheng Wang, Mien Van:
Digital Twins for Marine Operations: A Brief Review on Their Implementation. CoRR abs/2301.09574 (2023) - [i9]Mien Van, Yuzhu Sun, Stephen McIlvanna, Minh-Nhat Nguyen, Federico Zocco, Zhijie Liu, Hsueh-Cheng Wang:
Distributed Fixed-Time Consensus Control for Multiple AUV Systems with Input Saturations. CoRR abs/2302.14162 (2023) - [i8]Federico Zocco, Shahin Rahimifard:
Visual Material Characteristics Learning for Circular Healthcare. CoRR abs/2309.04763 (2023) - 2022
- [j2]Federico Zocco, Seán F. McLoone:
Recovery of linear components: Reduced complexity autoencoder designs. Eng. Appl. Artif. Intell. 109: 104663 (2022) - [i7]Federico Zocco, Ching-I Huang, Hsueh-Cheng Wang, Mohammad Omar Khyam, Mien Van:
Towards More Efficient EfficientDets and Low-Light Real-Time Marine Debris Detection. CoRR abs/2203.07155 (2022) - [i6]Federico Zocco, Beatrice Smyth, Pantelis Sopasakis:
Circularity of Thermodynamical Material Networks: Indicators, Examples and Algorithms. CoRR abs/2209.15051 (2022) - 2021
- [i5]Federico Zocco, Seán F. McLoone:
Material Measurement Units: Foundations Through a Survey. CoRR abs/2103.01997 (2021) - [i4]Federico Zocco, Marco Maggipinto, Gian Antonio Susto, Seán F. McLoone:
Greedy Search Algorithms for Unsupervised Variable Selection: A Comparative Study. CoRR abs/2103.02687 (2021) - [i3]Federico Zocco, Beatrice Smyth, Pantelis Sopasakis:
Thermodynamical Material Networks for Modeling, Planning and Control of Circular Material Flows. CoRR abs/2111.10693 (2021) - 2020
- [j1]Gian Antonio Susto, Marco Maggipinto, Federico Zocco, Seán F. McLoone:
Induced Start Dynamic Sampling for Wafer Metrology Optimization. IEEE Trans Autom. Sci. Eng. 17(1): 418-432 (2020) - [i2]Federico Zocco, Seán F. McLoone:
An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training. CoRR abs/2012.07434 (2020) - [i1]Federico Zocco, Seán F. McLoone:
Recovery of Linear Components: Reduced Complexity Autoencoder Designs. CoRR abs/2012.07543 (2020)
2010 – 2019
- 2019
- [c2]Marco Maggipinto, Gian Antonio Susto, Federico Zocco, Seán F. McLoone:
What are the Most Informative Data for Virtual Metrology? A use case on Multi-Stage Processes Fault Prediction. CASE 2019: 1796-1801 - 2017
- [c1]Federico Zocco, Seán F. McLoone:
Mean Squared Error vs. Frame Potential for Unsupervised Variable Selection. LSMS/ICSEE (2) 2017: 353-362
Coauthor Index
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