Giovanni De Magistris
Orcid: 0000-0002-5040-0884
According to our database1,
Giovanni De Magistris
authored at least 29 papers
between 2013 and 2024.
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Bibliography
2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Combining Thermodynamics-based Model of the Centrifugal Compressors and Active Machine Learning for Enhanced Industrial Design Optimization.
CoRR, 2023
2022
Proceedings of the 25th International Conference on Information Fusion, 2022
2020
IEEE Signal Process. Lett., 2020
Cooperative Autonomy and Data Fusion for Underwater Surveillance With Networked AUVs.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Underwater Tracking Based on the Sum-Product Algorithm Enhanced by a Neural Network Detections Classifier.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Selective Information Transmission using Convolutional Neural Networks for Cooperative Underwater Surveillance.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020
Automatic Object Classification with Active Sonar using Unsupervised Anomaly Detection.
Proceedings of the 28th European Signal Processing Conference, 2020
2018
CoRR, 2018
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Transfer Learning from Synthetic to Real Images Using Variational Autoencoders for Precise Position Detection.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
2017
Transfer learning from synthetic to real images using variational autoencoders for robotic applications.
CoRR, 2017
Spatio-Temporal Anomaly Detection for Industrial Robots through Prediction in Unsupervised Feature Space.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017
Proceedings of the Social Robotics - 9th International Conference, 2017
Limiting the reconstruction capability of generative neural network using negative learning.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Walking on gravel with soft soles using linear inverted pendulum tracking and reaction force distribution.
Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017
2016
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
2015
A human-like learning control for digital human models in a physics-based virtual environment.
Vis. Comput., 2015
Proceedings of the International Conference on Advanced Robotics, 2015
2013
Étude et conception de la commande de mannequins virtuels dynamiques pour l'évaluation ergonomique des postes de travail. (Dynamic Digital Human Model control design for the assessment of the workstation ergonomics).
PhD thesis, 2013