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ORCIDAntonio Bevilacqua
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2020 – today
- 2024
[i6]Antonio Bevilacqua, Paolo Saviano, Alessandro Amirante, Simon Pietro Romano:
Whispy: Adapting STT Whisper Models to Real-Time Environments. CoRR abs/2405.03484 (2024)- 2023
- [j3]Ashish Singh
, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. Data Min. Knowl. Discov. 37(2): 873-912 (2023) - [c6]Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim:
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. ECML/PKDD (6) 2023: 312-329 - [i5]Ashish Singh, Antonio Bevilacqua, Timilehin B. Aderinola, Thach Le Nguyen, Darragh Whelan, Martin O'Reilly, Brian Caulfield, Georgiana Ifrim:
An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. CoRR abs/2307.04516 (2023) - 2022
- [i4]Antonio Bevilacqua, Lisa Alcock, Brian Caulfield, Eran Gazit, Clint Hansen, Neil Ireson, Georgiana Ifrim:
Automated Mobility Context Detection with Inertial Signals. CoRR abs/2205.08409 (2022) - [i3]Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim:
Fast and Robust Video-Based Exercise Classification via Body Pose Tracking and Scalable Multivariate Time Series Classifiers. CoRR abs/2210.00507 (2022) - 2021
- [j2]Rob Argent, Antonio Bevilacqua, Alison Keogh, Ailish Daly, Brian Caulfield:
The Importance of Real-World Validation of Machine Learning Systems in Wearable Exercise Biofeedback Platforms: A Case Study. Sensors 21(7): 2346 (2021) - 2020
- [c5]Antonio Bevilacqua, Giovanni Ciampi, Rob Argent, Brian Caulfield, M. Tahar Kechadi:
Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting. AAAI 2020: 13229-13234
2010 – 2019
- 2019
- [j1]Rob Argent, Patrick Slevin, Antonio Bevilacqua, Maurice Neligan, Ailish Daly, Brian Caulfield:
Wearable Sensor-Based Exercise Biofeedback for Orthopaedic Rehabilitation: A Mixed Methods User Evaluation of a Prototype System. Sensors 19(2): 432 (2019) - [c4]Antonio Bevilacqua, Louise Brennan, Rob Argent, Brian Caulfield, M. Tahar Kechadi:
Rehabilitation Exercise Segmentation for Autonomous Biofeedback Systems with ConvFSM. EMBC 2019: 574-579 - [i2]Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, M. Tahar Kechadi:
Human Activity Recognition with Convolutional Neural Netowrks. CoRR abs/1906.01935 (2019) - 2018
- [c3]Antonio Bevilacqua, Bing Quan Huang, Rob Argent, Brian Caulfield, M. Tahar Kechadi:
Automatic classification of knee rehabilitation exercises using a single inertial sensor: A case study. BSN 2018: 21-24 - [c2]Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, M. Tahar Kechadi:
Human Activity Recognition with Convolutional Neural Networks. ECML/PKDD (3) 2018: 541-552 - [i1]Antonio Bevilacqua, Bing Quan Huang, Rob Argent, Brian Caulfield, M. Tahar Kechadi:
Automatic Classification of Knee Rehabilitation Exercises Using a Single Inertial Sensor: a Case Study. CoRR abs/1812.03880 (2018) - 2014
- [c1]Antonio Bevilacqua, Pasquale Boemio, Simon Pietro Romano:
Introducing ufo.js: A browser-oriented p2p network. ICNC 2014: 353-357
Coauthor Index
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