HealthyOffice: Mood recognition at work using smartphones and wearable sensors A Zenonos, A Khan, G Kalogridis, S Vatsikas, T Lewis, M Sooriyabandara 2016 IEEE international conference on pervasive computing and communication …, 2016 | 175 | 2016 |
Coordinating measurements for air pollution monitoring in participatory sensing settings A Zenonos, S Stein, NR Jennings | 26 | 2015 |
An Algorithm to Coordinate Measurements using Stochastic Human Mobility Patterns in Large-Scale Participatory Sensing Settings A Zenonos, S Stein, N Jennings Advances in Artificial Intelligence, 2015 | 12 | 2015 |
Perception clusters: Automated mood recognition using a novel cluster-driven modelling system A Khan, A Zenonos, G Kalogridis, Y Wang, S Vatsikas, M Sooriyabandara ACM Transactions on Computing for Healthcare 2 (1), 1-16, 2020 | 6 | 2020 |
Coordinating measurements in uncertain participatory sensing settings A Zenonos, S Stein, NR Jennings Journal of Artificial Intelligence Research 61, 433-474, 2018 | 6 | 2018 |
Real-world learnings for digital health industry–NHS collaboration: life sciences vision in action R Pope, A Zenonos, W Bryant, A Spiridou, D Key, S Patel, J Robinson, ... Future Healthcare Journal 11 (3), 100168, 2024 | 3 | 2024 |
A meta-embedding-based ensemble approach for ICD coding prediction P Rajendran, A Zenonos, J Spear, R Pope arXiv preprint arXiv:2102.13622, 2021 | 3 | 2021 |
A trust-based coordination system for participatory sensing applications A Zenonos, S Stein, N Jennings Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 …, 2017 | 3 | 2017 |
ARTIFICIAL INTELLIGENCE (AI) AS A TOOL TO IMPROVE PATIENT AWARENESS: EXPLORING THE PATIENT PERSPECTIVE RA Bichoo, D Dumitru, K Grover, R Pope, A Zenonos, E Cheese, J Groack, ... European Journal of Surgical Oncology 50, 2024 | 1 | 2024 |
Embed wisely: An ensemble approach to predict ICD coding P Rajendran, A Zenonos, J Spear, R Pope Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 1 | 2021 |
98 Minimal data, maximum impact: operationalising an artificial intelligence-based report retrieval in paediatric care using small language models JS Kawatra, S Sabu, C Baumgartner, P Rajendran, J Booth, S Patel, ... BMJ Paediatrics Open 9 (Suppl 1), 2025 | | 2025 |
99 GRID–DRE’s digital space for building artificial intelligence models and pipelines P Rajendran, S Patel, S Sabu, EJ Sheldon, JS Kawatra, C Baumgartner, ... BMJ Paediatrics Open 9 (Suppl 1), 2025 | | 2025 |
GIF: An Automated Genomic Information Finder to Extract Data from Reports P Rajendran, A Zenonos, S Sabu, A Spiridou, HS Goncalves, ... ECAI 2024, 4642-4648, 2024 | | 2024 |
65 Automatic extraction of structured information from cardiology MRI reports S Sabu, P Rajendra, A Taylor, A Zenonos, R Pope, NJ Sebire, A Spiridou, ... BMJ Paediatrics Open 7 (Suppl 2), 2023 | | 2023 |
110 Adopting reproducible analytical pipelines and open analytics at GOSH WA Bryant, J Booth, SA Bowyer, L Briggs, D Key, A Zenonos, A Spiridou, ... Archives of Disease in Childhood 108 (Suppl 1), A41-A41, 2023 | | 2023 |
Truthfully coordinating participation routes in informative participatory sensing S Chen, D Zhao, A Zenonos, J Chen, L Shen Science China Information Sciences 64, 1-15, 2021 | | 2021 |
Perception Clusters G Kalogridis, A Zenonos, S Vatsikas, Y Wang, A Khan, M Sooriyabandara ACM Transactions on Computing for Healthcare 2, 1-16, 2020 | | 2020 |
Coordinating measurements for participatory sensing applications A Zenonos University of Southampton, 2018 | | 2018 |