Daniel Stahl
Orcid: 0000-0001-7987-6619
According to our database1,
Daniel Stahl
authored at least 21 papers
between 2013 and 2023.
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Bibliography
2023
Predicting type 2 diabetes prevalence for people with severe mental illness in a multi-ethnic East London population.
Int. J. Medical Informatics, April, 2023
Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort.
CoRR, 2023
Predicting Alzheimer's Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023
2022
Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2022 IFIP WG 12.5 International Workshops, 2022
Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022
2021
Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder.
CoRR, 2021
Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
2020
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
2019
Functional connectivity changes associated with fMRI neurofeedback of right inferior frontal cortex in adolescents with ADHD.
NeuroImage, 2019
Using Virtual Reality to Assess Associations Between Paranoid Ideation and Components of Social Performance: A Pilot Validation Study.
Cyberpsychology Behav. Soc. Netw., 2019
2018
Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018
Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use?
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
PIDT: A Novel Decision Tree Algorithm Based on Parameterised Impurities and Statistical Pruning Approaches.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis.
Proceedings of the Health Informatics Meets eHealth - Biomedical Meets eHealth - From Sensors to Decisions, 2018
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
2016
A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
2013
The Impact of Agile Principles and Practices on Large-Scale Software Development Projects: A Multiple-Case Study of Two Projects at Ericsson.
Proceedings of the 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2013
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013