フォロー
Konstantinos Georgatzis
Konstantinos Georgatzis
Chief Technology Officer, WovenLight
確認したメール アドレス: wovenlight.com
タイトル
引用先
引用先
Dynotears: Structure learning from time-series data
R Pamfil, N Sriwattanaworachai, S Desai, P Pilgerstorfer, K Georgatzis, ...
International Conference on Artificial Intelligence and Statistics, 1595-1605, 2020
2112020
Image analysis for cosmology: results from the GREAT10 star challenge
TD Kitching, B Rowe, M Gill, C Heymans, R Massey, D Witherick, ...
The Astrophysical Journal Supplement Series 205 (2), 12, 2013
592013
Recruitment and ongoing engagement in a UK smartphone study examining the association between weather and pain: cohort study
KL Druce, J McBeth, SN van der Veer, DA Selby, B Vidgen, K Georgatzis, ...
JMIR mHealth and uHealth 5 (11), e8162, 2017
562017
Auditing and achieving intersectional fairness in classification problems
G Morina, V Oliinyk, J Waton, I Marusic, K Georgatzis
arXiv preprint arXiv:1911.01468, 2019
412019
Inferring disease subtypes from clusters in explanation space
MA Schulz, M Chapman-Rounds, M Verma, D Bzdok, K Georgatzis
Scientific Reports 10 (1), 12900, 2020
322020
FIMAP: Feature importance by minimal adversarial perturbation
M Chapman-Rounds, U Bhatt, E Pazos, MA Schulz, K Georgatzis
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11433 …, 2021
202021
Input-output non-linear dynamical systems applied to physiological condition monitoring
K Georgatzis, C Williams, C Hawthorne
Machine Learning for Healthcare Conference, 1-16, 2016
112016
Effects of uncertainty on the quality of feature importance explanations
T Shaikhina, U Bhatt, R Zhang, K Georgatzis, A Xiang, A Weller
AAAI Workshop on Explainable Agency in Artificial Intelligence, 2021
102021
EMAP: Explanation by minimal adversarial perturbation
M Chapman-Rounds, MA Schulz, E Pazos, K Georgatzis
arXiv preprint arXiv:1912.00872, 2019
92019
Efficient optimization for data visualization as an information retrieval task
J Peltonen, K Georgatzis
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
82012
Discriminative Switching Linear Dynamical Systems applied to Physiological Condition Monitoring
K Georgatzis, CKI Williams
Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence, 2015
72015
Detecting artifactual events in vital signs monitoring data
P Lal, CKI Williams, K Georgatzis, C Hawthorne, P McMonagle, I Piper, ...
Machine learning for healthcare technologies, 7, 2015
42015
Artefact in physiological data collected from patients with brain injury: Quantifying the problem and providing a solution using a factorial switching linear dynamical systems …
K Georgatzis, P Lal, C Hawthorne, M Shaw, I Piper, C Tarbert, R Donald, ...
Intracranial Pressure and Brain Monitoring XV, 301-305, 2016
32016
Benchmarking link analysis ranking methods in assistive environments
K Georgatzis, P Papapetrou
Proceedings of the 5th International Conference on PErvasive Technologies …, 2012
32012
Clusters in Explanation Space: Inferring disease subtypes from model explanations
MA Schulz, M Chapman-Rounds, M Verma, D Bzdok, K Georgatzis
arXiv preprint arXiv:1912.08755, 2019
22019
Machine Learning Methods for Regression in Astronomical Imaging
K Georgatzis
12011
Inferring disease subtypes from clusters in explanation space (vol 14, 6223, 2024)
MA Schulz, M Chapman-Rounds, M Verma, D Bzdok, K Georgatzis
SCIENTIFIC REPORTS 14 (1), 2024
2024
Author Correction: Inferring disease subtypes from clusters in explanation space
MA Schulz, M Chapman-Rounds, M Verma, D Bzdok, K Georgatzis
Scientific Reports 14, 2024
2024
Dynamical probabilistic graphical models applied to physiological condition monitoring
K Georgatzis
The University of Edinburgh, 2017
2017
AB1138 Engagement in a uk smartphone study examining the assocation between weather and pain: preliminary results from cloudy with a chance of pain
KL Druce, J McBeth, SN van der Veer, DA Selby, B Vidgen, K Georgatzis, ...
Annals of the Rheumatic Diseases 76 (Suppl 2), 1453-1453, 2017
2017
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