| 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 | EANN | Ensembles of Bidirectional LSTM and GRU Neural Nets for Predicting Mother-Infant Synchrony in Videos. | Daniel Stamate, Pradyumna Davuloori, Doina Logofatu, Evelyne Mercure, Caspar Addyman, Mark Tomlinson |
| 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 | ICANN | Predicting High vs Low Mother-Baby Synchrony with GRU-Based Ensemble Models. | Daniel Stamate, Riya Haran, Karolina Rutkowska, Pradyumna Davuloori, Evelyne Mercure, Caspar Addyman, Mark Tomlinson |
| 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 |
| 2023 | KES | Joint Decision Making in Ant Colony Systems for Solving the Multiple Traveling Salesman Problem. | Mihaela Breaban, Raluca Necula, Dorel Lucanu, Daniel Stamate |
| 2022 | ICANN | A Neural Network Approach to Estimating Color Reflectance with Product Independent Models. | Asei Akanuma, Daniel Stamate |
| 2021 | EANN | Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. | Mihai Ermaliuc, Daniel Stamate, George D. Magoulas, Ida M. Pu |
| 2021 | ICMLA | A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. | Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl |
| 2019 | ICCCI | Predicting S&P 500 Based on Its Constituents and Their Social Media Derived Sentiment. | Rapheal Olaniyan, Daniel Stamate, Ida M. Pu, Alexander Zamyatin, Anna Vashkel, Frdric Marchal |
| 2018 | DSAA | Data Science Challenges in Computational Psychiatry and Psychiatric Research. | Daniel Stahl, Daniel Stamate |
| 2018 | ICCCI | On XLE Index Constituents' Social Media Based Sentiment Informing the Index Trend and Volatility Prediction. | Frdric Marchal, Daniel Stamate, Rapheal Olaniyan, Jiri Marek |
| 2018 | ICMLA | A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment. | Daniel Stamate, Wajdi Alghamdi, Jeremy Ogg, Richard Hoile, Fionn Murtagh |
| 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 | EANN | Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves. | Doina Logofatu, Gil Sobol, Daniel Stamate |
| 2017 | ICCCI | A Novel Space Filling Curves Based Approach to PSO Algorithms for Autonomous Agents. | Doina Logofatu, Gil Sobol, Daniel Stamate, Kristiyan Balabanov |
| 2017 | ICMLA | Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life. | Danielle Belgrave, Rachel Cassidy, Daniel Stamate, Adnan Custovic, Louise Fleming, Andrew Bush, Sejal Saglani |
| 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 |
| 2015 | DSAA | Sentiment and stock market volatility predictive modelling - A hybrid approach. | Rapheal Olaniyan, Daniel Stamate, Lahcen Ouarbya, Doina Logofatu |
| 2012 | IPMU | Quantitative Semantics for Uncertain Knowledge Bases. | Daniel Stamate |
| 2012 | IPMU | Imperfect Information Fusion Using Rules with Bilattice Based Fixpoint Semantics. | Daniel Stamate, Ida M. Pu |
| 2007 | AINA | Reduction in Dimensions and Clustering Using Risk and Return Model. | Sayed W. Qaiyumi, Daniel Stamate |
| 1999 | MFCS | Computing and Comparing Semantics of Programs in Four-Valued Logics. | Yann Loyer, Nicolas Spyratos, Daniel Stamate |
| 1997 | ICDT | Semantics and Containment with Internal and External Conjunctions. | Gsta Grahne, Nicolas Spyratos, Daniel Stamate |
| 1994 | SSDBM | A General Model for the Answer-Perturbation Techniques. | Daniel Stamate, Henri Luchian, Ben Paechter |
| 1992 | SSDBM | Statistical Protection for Statistical Databases. | Henri Luchian, Daniel Stamate |