Mario Luca Fravolini
Orcid: 0000-0002-3104-8782
According to our database1,
Mario Luca Fravolini
authored at least 72 papers
between 1997 and 2023.
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Bibliography
2023
Performance Analysis of Six Semi-Automated Tumour Delineation Methods on [18F] Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG PET/CT) in Patients with Head and Neck Cancer.
Sensors, September, 2023
Neural Comput. Appl., September, 2023
J. Field Robotics, September, 2023
J. Aerosp. Inf. Syst., 2023
Monocular Reactive Collision Avoidance for MAV Teleoperation with Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
IEEE Trans. Ind. Informatics, 2022
Data-Driven Fault Diagnosis Techniques: Non-Linear Directional Residual vs. Machine-Learning-Based Methods.
Sensors, 2022
Form Factors as Potential Imaging Biomarkers to Differentiate Benign vs. Malignant Lung Lesions on CT Scans.
Sensors, 2022
A novel vision-based weakly supervised framework for autonomous yield estimation in agricultural applications.
Eng. Appl. Artif. Intell., 2022
Correlation Between IBSI Morphological Features and Manually-Annotated Shape Attributes on Lung Lesions at CT.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
2021
Statistically Efficient Simultaneous Amplitude Measurement of Multiple Linear Chirp Signals.
IEEE Trans. Instrum. Meas., 2021
A Comprehensive Case Study of Data-Driven Methods for Robust Aircraft Sensor Fault Isolation.
Sensors, 2021
Tire-road friction estimation and uncertainty assessment to improve electric aircraft braking system.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021
A Robust Data-Driven Fault Diagnosis scheme based on Recursive Dempster-Shafer Combination Rule.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021
Proceedings of the 20th International Conference on Advanced Robotics, 2021
Data-Driven Sensor Fault Diagnosis Based on Nonlinear Additive Models and Local Fault Sensitivity.
Proceedings of the 20th International Conference on Advanced Robotics, 2021
Monocular Reactive Collision Avoidance Based on Force Fields for Enhancing the Teleoperation of MAVs.
Proceedings of the 20th International Conference on Advanced Robotics, 2021
2020
Towards Generalization in Target-Driven Visual Navigation by Using Deep Reinforcement Learning.
IEEE Trans. Robotics, 2020
IEEE Trans. Multim., 2020
Combining Domain Adaptation and Spatial Consistency for Unseen Fruits Counting: A Quasi-Unsupervised Approach.
IEEE Robotics Autom. Lett., 2020
A Data-Driven Slip Estimation Approach for Effective Braking Control under Varying Road Conditions.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020
2019
IEEE Trans. Control. Syst. Technol., 2019
A neuroadaptive architecture for model reference control of uncertain dynamical systems with performance guarantees.
Syst. Control. Lett., 2019
Proceedings of the Transdisciplinary Engineering for Complex Socio-technical Systems, 2019
Proceedings of the International Conference on Control, Automation and Diagnosis, 2019
Experimental Prediction Intervals for Monitoring Wind Turbines: an Ensemble Approach.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2019
2018
IEEE Robotics Autom. Lett., 2018
A Physical Model of the Intracranial System for the Study of the Mechanisms of the Cerebral Blood Flow Autoregulation.
IEEE Access, 2018
Visual Localization in the Presence of Appearance Changes Using the Partial Order Kernel.
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Robust visual semi-semantic loop closure detection by a covisibility graph and CNN features.
Robotics Auton. Syst., 2017
Probabilistic estimation of the reachable set of model reference adaptive controllers using the scenario approach.
Int. J. Control, 2017
Dimensionality Reduction Strategies for CNN-Based Classification of Histopathological Images.
Proceedings of the Intelligent Interactive Multimedia Systems and Services 2017, 2017
Hand-Designed Local Image Descriptors vs. Off-the-Shelf CNN-Based Features for Texture Classification: An Experimental Comparison.
Proceedings of the Intelligent Interactive Multimedia Systems and Services 2017, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Proceedings of the IEEE International Smart Cities Conference, 2016
2015
IEEE Trans. Aerosp. Electron. Syst., 2015
Appl. Artif. Intell., 2015
Effects of antenna directivity on a 2.5D positioning technique based on multiple RF transceivers.
Proceedings of the IEEE International Workshop on Measurements & Networking, 2015
Analysis and design of adaptive control systems with unmodeled input dynamics via multiobjective convex optimization.
Proceedings of the American Control Conference, 2015
2014
Design of an amplitude-bounded output feedback adaptive neural control with guaranteed componentwise performance.
Neural Comput. Appl., 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Verifiable frequency-limited adaptive control performance based on linear matrix inequalities.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the American Control Conference, 2014
2013
Performance evaluation of neural network based approaches for airspeed Sensor Failure Accommodation on a small UAV.
Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013
A simple ranging technique based on received signal strength measurements in a narrowband 2.4 GHz channel: A space diversity approach.
Proceedings of the 2nd IEEE International Workshop on Measurements & Networking, 2013
Proceedings of the American Control Conference, 2013
2012
IEEE Trans. Syst. Man Cybern. Part C, 2012
Proceedings of the American Control Conference, 2012
2011
Design of a Neural Network Adaptive Controller via a Constrained Invariant Ellipsoids Technique.
IEEE Trans. Neural Networks, 2011
Bounding set calculation for neural network-based output feedback adaptive control systems.
Neural Comput. Appl., 2011
Integrated design of a linear/neuro-adaptive controller in the presence of norm-bounded uncertainties.
Int. J. Control, 2011
2010
Mach. Vis. Appl., 2010
2008
IEEE Trans. Syst. Man Cybern. Part C, 2008
Modelling and performance analysis of a machine vision-based semi-autonomous aerial refuelling.
Int. J. Model. Identif. Control., 2008
2007
Mach. Vis. Appl., 2007
Evaluation of Machine Vision Algorithms for Autonomous Aerial Refueling for Unmanned Aerial Vehicles.
J. Aerosp. Comput. Inf. Commun., 2007
Integration of Sensor and actuator Failure Detection, Identification, and Accommodation Schemes within Fault Tolerant Control Laws.
Control. Intell. Syst., 2007
2004
Performance comparison of different neural augmentation for the NASA Gen-2 IFCS F-15 control laws.
Proceedings of the 2004 American Control Conference, 2004
A stochastically optimal feedforward and feedback technique for flight control systems of high performance aircrafts.
Proceedings of the 2004 American Control Conference, 2004
2003
Predictive reference shaping for constrained robotic systems using evolutionary algorithms.
Appl. Soft Comput., 2003
Augmentation of a non linear dynamic inversion scheme within the NASA IFCS F-15 WVU simulator.
Proceedings of the American Control Conference, 2003
Performance comparison of fault tolerant control laws within the NASA IFCS F-15 WVU simulator.
Proceedings of the American Control Conference, 2003
2002
Proceedings of the American Control Conference, 2002
Comparison of different growing radial basis functions algorithms for control systems applications.
Proceedings of the American Control Conference, 2002
Application of an improved LWR method to real-time aircraft parameter identification problems.
Proceedings of the American Control Conference, 2002
Neural networks-based sensor validation for the flight control system of a B777 research model.
Proceedings of the American Control Conference, 2002
2001
Proceedings of the 6th European Control Conference, 2001
1999
Proceedings of the 5th European Control Conference, 1999
1997
Neural networks for modeling and identification of the dough rising process inside an industrial proofing chamber.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997