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Alexandros Zenonos
Alexandros Zenonos
Roche Products Ltd
Verified email at roche.com
Title
Cited by
Cited by
Year
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
1752016
Coordinating measurements for air pollution monitoring in participatory sensing settings
A Zenonos, S Stein, NR Jennings
262015
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
122015
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
62020
Coordinating measurements in uncertain participatory sensing settings
A Zenonos, S Stein, NR Jennings
Journal of Artificial Intelligence Research 61, 433-474, 2018
62018
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
32024
A meta-embedding-based ensemble approach for ICD coding prediction
P Rajendran, A Zenonos, J Spear, R Pope
arXiv preprint arXiv:2102.13622, 2021
32021
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
32017
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
12024
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
12021
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
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