Robot Evolutionary Localization Based on Attentive Visual Short-Term Memory. - Julio Vega; Eduardo Perdices; José María Cañas (Sensors, 2013)

Using web interaction to monitor parkinson's disease progression through behavioural inferences on the web. - Julio Vega (W4A, 2016)

Monitoring Parkinson's Disease Progression Using Behavioural Inferences, Mobile Devices and Web Technologies. - Julio Vega (WWW (Companion Volume), 2016)

Unobtrusive Monitoring of Parkinson's Disease Based on Digital Biomarkers of Human Behaviour. - Julio Vega; Caroline Jay; Markel Vigo; Simon Harper (ASSETS, 2017)

Back to Analogue: Self-Reporting for Parkinson's Disease. - Julio Vega; Samuel Couth; Ellen Poliakoff; Sonja Kotz; Matthew Sullivan; Caroline Jay; Markel Vigo; Simon Harper (CHI, 2018)

Mobile-based Monitoring of Parkinson's Disease. - Elina Kuosmanen; Valerii Kan; Aku Visuri; Julio Vega; Yuuki Nishiyama; Anind K. Dey; Simon Harper; Denzil Ferreira (MUM, 2018)

CHI 2018. - Niels van Berkel; Julio Vega; Ankit Kariryaa; C. Estelle Smith; Ye Yuan 010 (IEEE Pervasive Comput., 2018)

Challenges of Parkinson's Disease: User Experiences with STOP. - Elina Kuosmanen; Valerii Kan; Julio Vega; Aku Visuri; Yuuki Nishiyama; Anind K. Dey; Simon Harper; Denzil Ferreira (MobileHCI, 2019)

Unobtrusive and personalised monitoring of Parkinson's disease using smartphones. - Julio Vega (2019)

Shaping the Design of Smartphone-Based Interventions for Self-Harm. - Mahsa Honary; Beth T. Bell; Sarah Clinch; Julio Vega; Leo Kroll; Aaron Sefi; Roisin McNaney (CHI, 2020)

Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments. - Diogo Branco; Patrick Carrington; Silvia Del Din; Afsaneh Doryab; Hristijan Gjoreski; Tiago João Vieira Guerreiro; Roisin McNaney; Kyle Montague; Alisha Pradhan; André Rodrigues 002; Julio Vega (UbiComp/ISWC Adjunct, 2021)

Me in the Wild: An Exploratory Study Using Smartphones to Detect the Onset of Depression. - Kennedy Opoku Asare; Aku Visuri; Julio Vega; Denzil Ferreira (MobiHealth, 2021)

Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices. - Julio Vega; Meng Li; Kwesi Aguillera; Nikunj Goel; Echhit Joshi; Kirtiraj Khandekar; Krina C. Durica; Abhineeth R. Kunta; Carissa A. Low (Frontiers Digit. Health, 2021)

Basic human-robot interaction system running on an embedded platform. - Julio Vega (Microprocess. Microsystems, 2021)

Exploring Perceptions of Cross-Sectoral Data Sharing with People with Parkinson's. - Roisin McNaney; Catherine Morgan; Pranav Kulkarni; Julio Vega; Farnoosh Heidarivincheh; Ryan McConville; Alan L. Whone; Mickey Kim; Reuben Kirkham; Ian Craddock (CHI, 2022)

Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior. - Runze Yan; Whitney R. Ringwald; Julio Vega; Madeline Kehl; Sangwon Bae 001; Anind K. Dey; Carissa A. Low; Aidan G. C. Wright; Afsaneh Doryab (Future Gener. Comput. Syst., 2022)

Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis. - Kennedy Opoku Asare; Isaac Moshe; Yannik Terhorst; Julio Vega; Simo Hosio; Harald Baumeister; Laura Pulkki-Råback; Denzil Ferreira (Pervasive Mob. Comput., 2022)

Computational methods for predicting human behaviour in smart environments. - Rob Dunne; Oludamilare Matthews; Julio Vega; Simon Harper; Tim Morris 001 (J. Ambient Intell. Smart Environ., 2023)

Exploring crowdsourced self-care techniques: A study on Parkinson's disease. - Elina Kuosmanen; Eetu Huusko; Niels van Berkel; Francisco Nunes; Julio Vega; Jorge Gonçalves 001; Mohamed Khamis; Augusto Esteves; Denzil Ferreira; Simo Hosio (Int. J. Hum. Comput. Stud., 2023)

G-ARM: An open-source and low-cost robotic arm integrated with ROS2 for educational purposes. - Julio Vega; Vidal Pérez (Multim. Tools Appl., 2025)