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Andrea de Giorgio
Observed names:
A. de Giorgio,
DE GIORGIO, ANDREA,
DE GIORGIO, Andrea,
De Giorgio, Andrea,
Giorgio, Andrea De,
de Giorgio, Andrea
show all 6
Institutions:
Artificial Engineering (Italy),
KTH Royal Institute of Technology
Observed institutions:
University of Luxembourg,
Artificial Engineering (Italy),
Interdisciplinary Centre for Security, Reliability and Trust,
KTH Royal Institute of Technology
ORCID:
0000-0001-6064-5634
Observed ORCID:
0000-0001-6064-5634
OpenAlex ID:
A5027647574
Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines
2022
·
Marcelo Luis Ruiz Rodríguez
, Sylvain Kubler
, et al.
·
Robotics and Computer-Integrated Manufacturing
·
96
PDF
Human-machine Collaboration in Virtual Reality for Adaptive Production Engineering
2017
·
Andrea de Giorgio
, Mario Romero
, et al.
·
Procedia Manufacturing
·
70
Extended Reality in Neurosurgical Education: A Systematic Review
2022
·
Alessandro Iop
, Victor Gabriel El-Hajj
, et al.
·
Sensors
·
65
PDF
Systematic review of class imbalance problems in manufacturing
2023
·
Andrea de Giorgio
, Gabriele Cola
, et al.
·
Journal of Manufacturing Systems
·
64
Limitations in Evaluating Machine Learning Models for Imbalanced Binary Outcome Classification in Spine Surgery: A Systematic Review
2023
·
Marc Ghanem
, Abdul Karim Ghaith
, et al.
·
Brain Sciences
·
63
PDF
Adopting extended reality? A systematic review of manufacturing training and teaching applications
2023
·
Andrea de Giorgio
, Fabio Marco Monetti
, et al.
·
Journal of Manufacturing Systems
·
58
PDF
Towards online reinforced learning of assembly sequence planning with interactive guidance systems for industry 4.0 adaptive manufacturing
2021
·
Andrea de Giorgio
, Antonio Maffei
, et al.
·
Journal of Manufacturing Systems
·
51
An experimental study of the impact of virtual reality training on manufacturing operators on industrial robotic tasks
2022
·
F.M. Monetti
, A. de Giorgio
, et al.
·
Procedia CIRP
·
29
PDF
Learning programs is better than learning dynamics: A programmable neural network hierarchical architecture in a multi-task scenario
2015
·
Francesco Donnarumma
, Roberto Prevete
, et al.
·
Adaptive Behavior
·
16
Extended reality in cranial and spinal neurosurgery – a bibliometric analysis
2024
·
Ali Buwaider
, Victor Gabriel El-Hajj
, et al.
·
Acta Neurochirurgica
·
13
PDF
Procedural knowledge and function blocks for smart process planning
2020
·
Andrea de Giorgio
, Magnus Lundgren
, et al.
·
Procedia Manufacturing
·
11
PDF
Measuring the effect of automatically authored video aid on assembly time for procedural knowledge transfer among operators in adaptive assembly stations
2021
·
Andrea de Giorgio
, Malvina Roci
, et al.
·
International Journal of Production Research
·
10
PDF
Machine learning-based discrimination of benign and malignant breast lesions on US: The contribution of shear-wave elastography
2024
·
Ludovica Rita La Rocca
, Martina Caruso
, et al.
·
European Journal of Radiology
·
8
PDF
Assessing the influence of expert video aid on assembly learning curves
2021
·
Andrea de Giorgio
, Stefania Cacace
, et al.
·
Journal of Manufacturing Systems
·
8
PDF
Industrial transformation and assembly technology: context and research trends
2022
·
Fabio Marco Monetti
, Andrea de Giorgio
, et al.
·
Procedia CIRP
·
7
PDF
Accurate Clinical Entity Recognition and Code Mapping of Anatomopathological Reports Using BioClinicalBERT Enhanced by Retrieval-Augmented Generation: A Hybrid Deep Learning Approach
2025
·
Hamida Abdaoui
, Chamseddine Barki
, et al.
·
Bioengineering
·
6
PDF
Artificial Intelligence Control in 4D Cylindrical Space for Industrial Robotic Applications
2020
·
Andrea de Giorgio
, Lihui Wang
·
IEEE Access
·
6
PDF
A Maturation-Aware Machine Learning Framework for Screening the Nutritional Status of Adolescents
2026
·
Hatem Ghouili
, Zouhaier Farhani
, et al.
·
Nutrients
·
5
PDF
The Routledge Handbook of Artificial Intelligence and International Relations
2025
·
Diego Brasioli
, Laura Guercio
, et al.
·
Routledge eBooks
·
5
PDF
MedFusionT5: Cross-Modal Attention Boosts Semantic Quality and Reduces Hallucinations in Dental AI
2026
·
Hamida Abdaoui
, Sabri Barbaria
, et al.
·
International Dental Journal
·
4
The Impact of Learning Factories on Teaching Lean Principles in an Assembly Environment
2022
·
Fabio Marco Monetti
, Eleonora Boffa
, et al.
·
Lecture notes in mechanical engineering
·
4
PDF
Digital twins in sports science: applications for performance enhancement, injury prevention, and rehabilitation through advanced big data analytics and deep learning methodologies – a comprehensive narrative review
2026
·
Afef Sédiri
, Sabri Barbaria
, et al.
·
Biology of Sport
·
3
PDF
The Co-Evolution of Sleep and Diet: Toward an Emerging Framework of Evolutionary Chrononutrition in Circadian–Metabolic Health
2026
·
Nicola Luigi Bragazzi
, Halil İbrahim Ceylan
, et al.
·
Nutrients
·
1
PDF
Alignment of ILOs–TLAs–ATs for the course MG2040 Assembly Technology at KTH Royal Institute of Technology
2026
·
de Giorgio, Andrea
, Bragazzi, Nicola
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
·
1
Introducing a procedural knowledge model for enhancing industrial process adaptiveness
2021
·
De Giorgio, Andrea
·
KTH Publication Database DiVA (KTH Royal Institute of Technology)
·
1
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Works count:
44
Citation count:
602
H-index:
11
I10-index:
12
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