Daniel Stahl

Orcid: 0000-0001-7987-6619

According to our database1, Daniel Stahl authored at least 22 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

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

Sample Size in Natural Language Processing within Healthcare Research.
CoRR, 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 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment.
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

Data Science Challenges in Computational Psychiatry and Psychiatric Research.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
Predicting Psychosis Using the Experience Sampling Method with Mobile Apps.
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

Oscillator synthesis based on Nambu mechanics with canonical dissipative damping.
Proceedings of the 21st European Conference on Circuit Theory and Design, 2013


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