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Lucia Migliorelli
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2020 – today
- 2024
- [j12]Leonardo Gabrielli, Lucia Migliorelli, Michela Cantarini, Adriano Mancini, Stefano Squartini:
An advanced multimodal driver-assistance prototype for emergency-vehicle detection. Integr. Comput. Aided Eng. 31(4): 381-399 (2024) - [j11]Daniele Berardini
, Lucia Migliorelli, Alessandro Galdelli
A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras. Multim. Tools Appl. 83(7): 19109-19127 (2024) - [c11]Daniele Berardini, Lucia Migliorelli, Lorenzo Cardoni, Christian Parente, Alessandro Rongoni, Daniele Sergiacomi, Adriano Mancini:
Benchmark Analysis of YOLOv8 for Edge AI Video-Surveillance Applications. MESA 2024: 1-7 - [i6]Alessandro Cacciatore, Valerio Morelli, Federica Paganica, Emanuele Frontoni, Lucia Migliorelli, Daniele Berardini:
A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks. CoRR abs/2409.13550 (2024) - 2023
- [j10]Lucia Migliorelli
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis. Comput. Biol. Medicine 163: 107194 (2023) - [j9]Lucia Migliorelli
A deep learning-based telemonitoring application to automatically assess oral diadochokinesis in patients with bulbar amyotrophic lateral sclerosis. Comput. Methods Programs Biomed. 242: 107840 (2023) - [j8]Lucia Migliorelli
Accountable Deep-Learning-Based Vision Systems for Preterm Infant Monitoring. Computer 56(5): 84-93 (2023) - [j7]Carolina Gonçalves, João M. Lopes
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation. Expert Syst. Appl. 228: 120288 (2023) - [j6]Lucia Migliorelli, Alessandro Cacciatore
TwinEDA: a sustainable deep-learning approach for limb-position estimation in preterm infants' depth images. Medical Biol. Eng. Comput. 61(2): 387-397 (2023) - [c10]Lucia Migliorelli, Sara Moccia, Daniele Berardini, Emanuele Frontoni, Michela Coccia, Laura Villani, Andrea Bandini:
A preliminary study on self-care telemonitoring of dysarthria in spinal muscular atrophy. EMBC 2023: 1-4 - [c9]Alessandro Galdelli
An AI-Driven Prototype for Groundwater Level Prediction: Exploring the Gorgovivo Spring Case Study. ICIAP (2) 2023: 418-429 - [i5]Carolina Gonçalves, João M. Lopes, Sara Moccia, Daniele Berardini, Lucia Migliorelli, Cristina P. Santos:
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation. CoRR abs/2301.05575 (2023) - [i4]Lucia Migliorelli, Daniele Berardini, Kevin Cela, Michela Coccia, Laura Villani, Emanuele Frontoni, Sara Moccia:
A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis. CoRR abs/2309.09038 (2023) - 2022
- [j5]Giuseppe Pio Cannata, Lucia Migliorelli
Generating depth images of preterm infants in given poses using GANs. Comput. Methods Programs Biomed. 225: 107057 (2022) - [j4]Lucia Migliorelli
An accurate estimation of preterm infants' limb pose from depth images using deep neural networks with densely connected atrous spatial convolutions. Expert Syst. Appl. 204: 117458 (2022) - [c8]Michela Cantarini
Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars. AII 2022: 437-451 - [c7]Alessandro Cacciatore
Some Ethical Remarks on Deep Learning-Based Movements Monitoring for Preterm Infants: Green AI or Red AI? ICIAP Workshops 2022: 165-175 - 2021
- [j3]Manuel Palermo
Real-time human pose estimation on a smart walker using convolutional neural networks. Expert Syst. Appl. 184: 115498 (2021) - [c6]Lucia Migliorelli, Emanuele Frontoni, Simone Appugliese, Giuseppe Pio Cannata, Virginio Paolo Carnielli, Sara Moccia:
Improving Preterm Infants' Joint Detection in Depth Images Via Dense Convolutional Neural Networks. EMBC 2021: 3013-3016 - [c5]Lucia Migliorelli, Daniele Berardini
Asymmetric Three-dimensional Convolutions For Preterm Infants' Pose Estimation. EMBC 2021: 3021-3024 - [c4]Matteo Carbonari, Greta Vallasciani, Lucia Migliorelli, Emanuele Frontoni, Sara Moccia:
End-to-end semantic joint detection and limb-pose estimation from depth images of preterm infants in NICUs. ISCC 2021: 1-6 - [i3]Manuel Palermo, Sara Moccia, Lucia Migliorelli, Emanuele Frontoni, Cristina P. Santos:
Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks. CoRR abs/2106.14739 (2021) - 2020
- [j2]Luca Antognoli
Heartbeat Detection by Laser Doppler Vibrometry and Machine Learning. Sensors 20(18): 5362 (2020) - [j1]Sara Moccia
Preterm Infants' Pose Estimation With Spatio-Temporal Features. IEEE Trans. Biomed. Eng. 67(8): 2370-2380 (2020) - [c3]Daniele Berardini
Evaluating the autonomy of children with autism spectrum disorder in washing hands: a deep-learning approach. ISCC 2020: 1-7 - [i2]Sara Moccia, Lucia Migliorelli, Virgilio Paolo Carnielli, Emanuele Frontoni:
Preterm infants' pose estimation with spatio-temporal features. CoRR abs/2005.08648 (2020)
2010 – 2019
- 2019
- [c2]Sara Moccia
Preterm infants' limb-pose estimation from depth images using convolutional neural networks. CIBCB 2019: 1-7 - [c1]Lucia Migliorelli, Sara Moccia
MyDi application: Towards automatic activity annotation of young patients with Type 1 diabetes. ISCT 2019: 220-224 - [i1]Sara Moccia, Lucia Migliorelli, Rocco Pietrini, Emanuele Frontoni:
Preterm infants' limb-pose estimation from depth images using convolutional neural networks. CoRR abs/1907.12949 (2019)
Coauthor Index
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