Introducing ufo.js: A browser-oriented p2p network. - Antonio Bevilacqua; Pasquale Boemio; Simon Pietro Romano (ICNC, 2014)

Automatic classification of knee rehabilitation exercises using a single inertial sensor: A case study. - Antonio Bevilacqua; Bing Quan Huang; Rob Argent; Brian Caulfield 001; M. Tahar Kechadi (BSN, 2018)

Human Activity Recognition with Convolutional Neural Networks. - Antonio Bevilacqua; Kyle MacDonald; Aamina Rangarej; Venessa Widjaya; Brian Caulfield 001; M. Tahar Kechadi (ECML/PKDD (3), 2018)

Rehabilitation Exercise Segmentation for Autonomous Biofeedback Systems with ConvFSM. - Antonio Bevilacqua; Louise Brennan; Rob Argent; Brian Caulfield 001; M. Tahar Kechadi (EMBC, 2019)

Human Activity Recognition with Convolutional Neural Netowrks. - Antonio Bevilacqua; Kyle MacDonald; Aamina Rangarej; Venessa Widjaya; Brian Caulfield 001; M. Tahar Kechadi (CoRR, 2019)

Wearable Sensor-Based Exercise Biofeedback for Orthopaedic Rehabilitation: A Mixed Methods User Evaluation of a Prototype System. - Rob Argent; Patrick Slevin; Antonio Bevilacqua; Maurice Neligan; Ailish Daly; Brian Caulfield 001 (Sensors, 2019)

Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting. - Antonio Bevilacqua; Giovanni Ciampi; Rob Argent; Brian Caulfield 001; M. Tahar Kechadi (AAAI, 2020)

The Importance of Real-World Validation of Machine Learning Systems in Wearable Exercise Biofeedback Platforms: A Case Study. - Rob Argent; Antonio Bevilacqua; Alison Keogh; Ailish Daly; Brian Caulfield 001 (Sensors, 2021)

Automated Mobility Context Detection with Inertial Signals. - Antonio Bevilacqua; Lisa Alcock; Brian Caulfield 001; Eran Gazit; Clint Hansen; Neil Ireson; Georgiana Ifrim (CoRR, 2022)

An Examination of Wearable Sensors and Video Data Capture for Human Exercise Classification. - Ashish Singh; Antonio Bevilacqua; Timilehin B. Aderinola; Thach Le Nguyen; Darragh Whelan; Martin O'Reilly 001; Brian Caulfield 001; Georgiana Ifrim (ECML/PKDD (6), 2023)

Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers. - Ashish Singh; Antonio Bevilacqua; Thach Le Nguyen; Feiyan Hu; Kevin McGuinness; Martin O'Reilly 001; Darragh Whelan; Brian Caulfield 001; Georgiana Ifrim (Data Min. Knowl. Discov., 2023)

Whispy: Adapting STT Whisper Models to Real-Time Environments. - Antonio Bevilacqua; Paolo Saviano; Alessandro Amirante; Simon Pietro Romano (CoRR, 2024)