Daniel Stahl

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 21

Top Topics

Artificial Neural Networks

Machine Learning

Natural Language

Top Venues

Publications

Jaya Chaturvedi, Diana Shamsutdinova, Felix Zimmer, Sumithra Velupillai, Daniel Stahl, Robert Stewart, Angus Roberts
Sample Size in Natural Language Processing within Healthcare Research. CoRR (2023)
Daniel Stamate, Henry Musto, Olesya Ajnakina, Daniel Stahl
Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort. CoRR (2023)
Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl
Predicting Alzheimer's Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort. ICCCI (2023)
Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl
A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. CoRR (2023)
Diana Shamsutdinova, Jayati Das-Munshi, Mark Ashworth, Angus Roberts, Daniel Stahl
Predicting type 2 diabetes prevalence for people with severe mental illness in a multi-ethnic East London population. Int. J. Medical Informatics 172 (2023)
Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl
Predicting Alzheimers Disease Diagnosis Risk over Time with Survival Machine Learning on the ADNI Cohort. CoRR (2023)
Daniel Stamate, Henry Musto, Olesya Ajnakina, Daniel Stahl
Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort. AIAI Workshops (2022)
Diana Shamsutdinova, Daniel Stamate, Angus Roberts, Daniel Stahl
Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes. AIAI (2) (2022)
Judith Dineley, Grace Lavelle, Daniel Leightley, Faith Matcham, Sara Siddi, Maria Teresa Peñarrubia-María, Katie M. White, Alina Ivan, Carolin Oetzmann, Sara Simblett, Erin Dawe-Lane, Stuart Bruce, Daniel Stahl, Josep Maria Haro, Til Wykes, Vaibhav A. Narayan, Matthew Hotopf, Björn W. Schuller, Nicholas Cummins
Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder. CoRR (2021)
Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl
A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. ICMLA (2021)
Judith Dineley, Grace Lavelle, Daniel Leightley, Faith Matcham, Sara Siddi, Maria Teresa Peñarrubia-María, Katie M. White, Alina Ivan, Carolin Oetzmann, Sara Simblett, Erin Dawe-Lane, Stuart Bruce, Daniel Stahl, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Amos A. Folarin, Josep Maria Haro, Til Wykes, Richard J. B. Dobson, Vaibhav A. Narayan, Matthew Hotopf, Björn W. Schuller, Nicholas Cummins, RADAR-CNS Consortium
Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder. Interspeech (2021)
Daniel Stamate, Richard Smith, Ruslan Tsygancov, Rostislav Vorobev, John Langham, Daniel Stahl, David Reeves
Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment. AIAI (2) (2020)
Simon Riches, Philippa Garety, Mar Rus-Calafell, Daniel Stahl, Clare Evans, Nikolaos Sarras, Keren Yeboah, Lucia Valmaggia
Using Virtual Reality to Assess Associations Between Paranoid Ideation and Components of Social Performance: A Pilot Validation Study. Cyberpsychology Behav. Soc. Netw. 22 (1) (2019)
Katya Rubia, Marion Criaud, M. Wulff, A. Alegria, H. Brinson, Gareth J. Barker, Daniel Stahl, Vincent Giampietro
Functional connectivity changes associated with fMRI neurofeedback of right inferior frontal cortex in adolescents with ADHD. NeuroImage 188 (2019)
Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Ida M. Pu, Fionn Murtagh, Danielle Belgrave, Robin M. Murray, Marta Di Forti
Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. IPMU (3) (2018)
Wajdi Alghamdi, Daniel Stamate, Daniel Stahl, Alexander Zamyatin, Robin M. Murray, Marta Di Forti
A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis. eHealth (2018)
Daniel Stahl, Daniel Stamate
Data Science Challenges in Computational Psychiatry and Psychiatric Research. DSAA (2018)
Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Alexander Zamyatin, Robin M. Murray, Marta Di Forti
Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use? AIAI (2018)
Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Doina Logofatu, Alexander Zamyatin
PIDT: A Novel Decision Tree Algorithm Based on Parameterised Impurities and Statistical Pruning Approaches. AIAI (2018)
Daniel Stamate, Andrea Katrinecz, Wajdi Alghamdi, Daniel Stahl, Philippe Delespaul, Jim van Os, Sinan Guloksuz
Predicting Psychosis Using the Experience Sampling Method with Mobile Apps. ICMLA (2017)
Wajdi Alghamdi, Daniel Stamate, Katherine Vang, Daniel Stahl, Marco Colizzi, Giada Tripoli, Diego Quattrone, Olesya Ajnakina, Robin M. Murray, Marta Di Forti
A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use. ICMLA (2016)
Wolfgang Mathis, Daniel Stahl, Richard Mathis
Oscillator synthesis based on Nambu mechanics with canonical dissipative damping. ECCTD (2013)
Lina Lagerberg, Tor Skude, Pär Emanuelsson, Kristian Sandahl, Daniel Stahl
The Impact of Agile Principles and Practices on Large-Scale Software Development Projects: A Multiple-Case Study of Two Projects at Ericsson. ESEM (2013)