Items Authored/Edited by Stahl, Daniel
Up a level |
Jump to: Article | Conference or Workshop Item
Number of items: 13.
Article
Stamate, Daniel; Katrinecz, Andrea; Stahl, Daniel; Verhagen, Simone J.W.; Delespaul, Philippe A.E.G.; van Os, Jim and Guloksuz, Sinan.
2019.
Identifying psychosis spectrum disorder from experience sampling data using machine learning approaches.
Schizophrenia Research, 209,
pp. 156-163.
ISSN 0920-9964
[Article]
Conference or Workshop Item
Musto, Henry; Stamate, Daniel; Pu, Ida and Stahl, Daniel.
2023.
'Predicting Alzheimer’s Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort'.
In: Computational Collective Intelligence. ICCCI 2023.. Budapest, Hungary 27–29 September 2023.
[Conference or Workshop Item]
Shamsutdinova, Diana; Stamate, Daniel; Roberts, Angus and Stahl, Daniel.
2022.
'Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes'.
In: 18th IFIP International Conference on Artificial Intelligence Applications and Innovations. Hersonissos, Crete, Greece 17 - 20 June 2022.
[Conference or Workshop Item]
Stamate, Daniel; Musto, Henry; Ajnakina, Olesya and Stahl, Daniel.
2022.
'Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort'.
In: 18th IFIP International Conference on Artificial Intelligence Applications and Innovations - AIAI 2022. Hersonissos, Crete, Greece 17 - 20 June 2022.
[Conference or Workshop Item]
Musto, Henry; Stamate, Daniel; Pu, Ida and Stahl, Daniel.
2022.
'A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease'.
In: 20th IEEE International Conference on Machine Learning and Applications (ICMLA). Pasadena, CA, United States 13-16 December 2021.
[Conference or Workshop Item]
Stamate, Daniel; Smith, Richard; Tsygancov, Ruslan; Vorobev, Rostislav; Langham, John; Stahl, Daniel and Reeves, David.
2020.
'Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment'.
In: Artificial Intelligence Applications and Innovations. Halkidiki, Greece.
[Conference or Workshop Item]
Stahl, Daniel and Stamate, Daniel.
2019.
'Data Science Challenges in Computational Psychiatry and Psychiatric Research'.
In: 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018). Turin, Italy 1-3 October 2018.
[Conference or Workshop Item]
Stamate, Daniel; Alghamdi, Wajdi; Stahl, Daniel; Zamyatin, Alexander; Murray, Robin and di Forti, Marta.
2018.
'Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use?'.
In: 14th AIAI: IFIP International Conference on Artificial Intelligence Applications and Innovations. Rhodes, Greece.
[Conference or Workshop Item]
Stamate, Daniel; Alghamdi, Wajdi; Stahl, Daniel; Logofatu, Doina and Zamyatin, Alexander.
2018.
'PIDT: A Novel Decision Tree Algorithm Based on Parameterised Impurities and Statistical Pruning Approaches'.
In: 14th IFIP International Conference on Artificial Intelligence Applications and Innovations. Rhodes, Greece.
[Conference or Workshop Item]
Stamate, Daniel; Alghamdi, Wajdi; Stahl, Daniel; Pu, Ida; Murtagh, Fionn; Belgrave, Danielle; Murray, Robin and di Forti, Marta.
2018.
'Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning'.
In: IPMU 2018: 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Cadiz, Spain.
[Conference or Workshop Item]
Walghamdi, Wajdi; Stamate, Daniel; Stahl, Daniel; Murray, Robin and Di Forti, Marta.
2018.
'A New Machine Learning Framework for Understanding the Link between Cannabis Use and First-Episode Psychosis'.
In: Proceedings of the 12th eHealth Conference. Vienna, Austria.
[Conference or Workshop Item]
Stamate, Daniel; Katrinecz, Andrea; Alghamdi, Wajdi; Stahl, Daniel; Delespaul, Philippe; van Os, Jim and Guloksuz, Sinan.
2017.
'Predicting Psychosis Using the Experience Sampling Method with Mobile Apps'.
In: ICMLA 2017: 16th IEEE International Conference on Machine Learning and Applications (ICMLA). Cancun, Mexico 18-21 December 2017.
[Conference or Workshop Item]
Alghamdi, Wajdi; Stamate, Daniel; Vang, Katherine; Stahl, Daniel; Colizzi, Marco; Tripoli, Giada; Quattrone, Diego; Ajnakina, Olesya; Murray, Robin M. and Forti, Marta Di.
2016.
'A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use'.
In: 15th IEEE International Conference on Machine Learning and Applications. Anaheim, California, United States.
[Conference or Workshop Item]