Shamsutdinova, Diana; Stamate, Daniel and Stahl, Daniel. 2025. Balancing accuracy and Interpretability: An R package assessing complex relationships beyond the Cox model and applications to clinical prediction. International Journal of Medical Informatics, 194, 105700. ISSN 1386-5056 [Article]

Musto, Henry; Stamate, Daniel; Logofatu, Doina and Stahl, Daniel. 2024. 'Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling'. In: Artificial Neural Networks and Machine Learning – ICANN 2024. Lugano, Switzerland 17 - 20 September 2024. [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]

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]

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]