Daniel Stahl
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
8
Active years
2013–2025
Best venue rank
C
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AIAI | Classifying Cognitive States of Alzheimer's Disease with Machine Learning Using Digital Biomarkers from the Bio-Hermes Study Cohort. | Eoin Houstoun, Daniel Stamate, Henry Musto, David Reeves, Catharine Morgan, Roxana Hutanu, Kalliopi Mavromati, Dorina Cadar, Daniel Stahl |
| 2025 | AIAI | Proteomics, Neuropsychological and Demographics Multimodal Machine Learning Approach to Alzheimer's Disease Prediction on the Bio-Hermes Study Cohort. | Henry Musto, Daniel Stamate, David Reeves, Catharine Morgan, Roxana Hutanu, Kalliopi Mavromati, Dorina Cadar, Daniel Stahl |
| 2024 | ICANN | Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling. | Henry Musto, Daniel Stamate, Doina Logofatu, Daniel Stahl |
| 2024 | ICMLA | Variational Encoder Based Synthetic Alzheimer's Data Generation for Deep Learning, XGBoost and Statistical Survival Analysis. | Henry Musto, Daniel Stamate, Daniel Stahl |
| 2023 | ICCCI | Predicting Alzheimer's Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort. | Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl |
| 2021 | ICMLA | A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. | Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl |
| 2021 | Interspeech | Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder. | Judith Dineley, Grace Lavelle, Daniel Leightley, Faith Matcham, Sara Siddi, Maria Teresa Pearrubia-Mara, 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, Bjrn W. Schuller, Nicholas Cummins, RADAR-CNS Consortium |
| 2018 | DSAA | Data Science Challenges in Computational Psychiatry and Psychiatric Research. | Daniel Stahl, Daniel Stamate |
| 2018 | IPMU | Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. | Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Ida M. Pu, Fionn Murtagh, Danielle Belgrave, Robin M. Murray, Marta Di Forti |
| 2017 | ICMLA | Predicting Psychosis Using the Experience Sampling Method with Mobile Apps. | Daniel Stamate, Andrea Katrinecz, Wajdi Alghamdi, Daniel Stahl, Philippe Delespaul, Jim van Os, Sinan Guloksuz |
| 2016 | ICMLA | A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use. | Wajdi Alghamdi, Daniel Stamate, Katherine Vang, Daniel Stahl, Marco Colizzi, Giada Tripoli, Diego Quattrone, Olesya Ajnakina, Robin M. Murray, Marta Di Forti |
| 2013 | ESEM | The Impact of Agile Principles and Practices on Large-Scale Software Development Projects: A Multiple-Case Study of Two Projects at Ericsson. | Lina Lagerberg, Tor Skude, Pr Emanuelsson, Kristian Sandahl, Daniel Stahl |