Daniel Stamate

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 32

Top Topics

Mild Cognitive Impairment

Top Venues

Publications

Daniel Stamate, Pradyumna Davuloori, Doina Logofatu, Evelyne Mercure, Caspar Addyman, Mark Tomlinson
Ensembles of Bidirectional LSTM and GRU Neural Nets for Predicting Mother-Infant Synchrony in Videos. EANN (2024)
Asei Akanuma, Daniel Stamate, J. Mark Bishop
Predicting Colour Reflectance with Gradient Boosting and Deep Learning. AIAI (1) (2023)
Henry Musto, Daniel Stamate, Doina Logofatu, Lahcen Ouarbya
On a Survival Gradient Boosting, Neural Network and Cox PH Based Approach to Predicting Dementia Diagnosis Risk on ADNI. BIBM (2023)
Daniel Stamate, Riya Haran, Karolina Rutkowska, Pradyumna Davuloori, Evelyne Mercure, Caspar Addyman, Mark Tomlinson
Predicting High vs Low Mother-Baby Synchrony with GRU-Based Ensemble Models. ICANN (9) (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)
Mihaela Breaban, Raluca Necula, Dorel Lucanu, Daniel Stamate
Joint Decision Making in Ant Colony Systems for Solving the Multiple Traveling Salesman Problem. KES (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)
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)
Asei Akanuma, Daniel Stamate
A Neural Network Approach to Estimating Color Reflectance with Product Independent Models. ICANN (3) (2022)
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)
Henry Musto, Daniel Stamate, Ida M. Pu, Daniel Stahl
A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. ICMLA (2021)
Rapheal Olaniyan, Daniel Stamate, Ida M. Pu
A Two-Step Optimised BERT-Based NLP Algorithm for Extracting Sentiment from Financial News. AIAI (2021)
John Langham, Daniel Stamate, Charlotte A. Wu, Fionn Murtagh, Catharine Morgan, David Reeves, Darren Ashcroft, Evangelos Kontopantelis, Brian McMillan
Predicting risk of dementia with machine learning and survival models using routine primary care records. BIBM (2021)
Mihai Ermaliuc, Daniel Stamate, George D. Magoulas, Ida M. Pu
Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. EANN (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)
Doina Logofatu, Gil Sobol, Christina Andersson, Daniel Stamate, Kristiyan Balabanov, Tymoteusz Cejrowski
Particle swarm optimization algorithms for autonomous robots with deterministic leaders using space filling movements. Evol. Syst. 11 (3) (2020)
Rapheal Olaniyan, Daniel Stamate, Ida M. Pu, Alexander Zamyatin, Anna Vashkel, Frédéric Maréchal
Predicting S&P 500 Based on Its Constituents and Their Social Media Derived Sentiment. ICCCI (1) (2019)
Nikolay Y. Nikolaev, Evgueni N. Smirnov, Daniel Stamate, Robert Zimmer
A regime-switching recurrent neural network model applied to wind time series. Appl. Soft Comput. 80 (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)
Frédéric Maréchal, Daniel Stamate, Rapheal Olaniyan, Jiri Marek
On XLE Index Constituents' Social Media Based Sentiment Informing the Index Trend and Volatility Prediction. ICCCI (2) (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, Jeremy Ogg, Richard Hoile, Fionn Murtagh
A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment. ICMLA (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)
Doina Logofatu, Gil Sobol, Daniel Stamate, Kristiyan Balabanov
A Novel Space Filling Curves Based Approach to PSO Algorithms for Autonomous Agents. ICCCI (1) (2017)
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)
Danielle Belgrave, Rachel Cassidy, Daniel Stamate, Adnan Custovic, Louise Fleming, Andrew Bush, Sejal Saglani
Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life. ICMLA (2017)
Doina Logofatu, Gil Sobol, Daniel Stamate
Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves. EANN (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)
Rapheal Olaniyan, Daniel Stamate, Lahcen Ouarbya, Doina Logofatu
Sentiment and stock market volatility predictive modelling - A hybrid approach. DSAA (2015)
Rapheal Olaniyan, Daniel Stamate, Doina Logofatu
Social Web-Based Anxiety Index's Predictive Information on S&P 500 Revisited. SLDS (2015)
Doina Logofatu, Daniel Stamate
Scalable Distributed Genetic Algorithm for Data Ordering Problem with Inversion Using MapReduce. AIAI (2014)
Ida M. Pu, Daniel Stamate, Yuji Shen
Improving time-efficiency in blocking expanding ring search for mobile ad hoc networks. J. Discrete Algorithms 24 (2014)
Daniel Stamate
Quantitative Semantics for Uncertain Knowledge Bases. IPMU (3) (2012)
Daniel Stamate, Ida M. Pu
Imperfect Information Fusion Using Rules with Bilattice Based Fixpoint Semantics. IPMU (3) (2012)
Daniel Stamate
Queries with Multivalued Logic-Based Semantics for Imperfect Information Fusion. ISMVL (2010)
Daniel Stamate
A Bilattice Based Fixed Point Semantics for Integrating Imperfect Information. FICS (2009)
Daniel Stamate
Default Reasoning with Imperfect Information in Multivalued Logics. ISMVL (2008)
Sayed W. Qaiyumi, Daniel Stamate
Reduction in Dimensions and Clustering Using Risk and Return Model. AINA Workshops (1) (2007)
Daniel Stamate
Assumption based multi-valued semantics for extended logic programs. ISMVL (2006)
Yann Loyer, Nicolas Spyratos, Daniel Stamate
Hypothesis-based semantics of logic programs in multivalued logics. ACM Trans. Comput. Log. 5 (3) (2004)
Yann Loyer, Nicolas Spyratos, Daniel Stamate
Parametrized semantics of logic programs--a unifying framework. Theor. Comput. Sci. 308 (1-3) (2003)
Yann Loyer, Nicolas Spyratos, Daniel Stamate
Hypotheses Founded Semantics of Logic Programs for Information Integration in Multi-Valued Logics CoRR (2001)
Yann Loyer, Nicolas Spyratos, Daniel Stamate
Test d'hypothèses pour l'intégration d'information en logique à quatre valeurs. JFPLC (2000)
Yann Loyer, Nicolas Spyratos, Daniel Stamate
Hypothesis Support for Information Integration in Four-Valued Logics. IFIP TCS (2000)
Yann Loyer, Nicolas Spyratos, Daniel Stamate
Integration of Information in Four-Valued Logics under Non-Uniform Assumptions. ISMVL (2000)
Yann Loyer, Nicolas Spyratos, Daniel Stamate
Computing and Comparing Semantics of Programs in Multi-valued Logics CoRR (2000)
Yann Loyer, Nicolas Spyratos, Daniel Stamate
Computing and Comparing Semantics of Programs in Four-Valued Logics. MFCS (1999)
Yann Loyer, Nicolas Spyratos, Daniel Stamate
Unification des sémantiques usuelles de programmes logiques. JFPLC (1998)
Gösta Grahne, Nicolas Spyratos, Daniel Stamate
Semantics and Containment with Internal and External Conjunctions. ICDT (1997)
Nicolas Spyratos, Daniel Stamate
Bases de données avec informations incertaines. Sémantique et mises à jour. JFPLC (1996)
Daniel Stamate, Henri Luchian, Ben Paechter
A General Model for the Answer-Perturbation Techniques. SSDBM (1994)
Henri Luchian, Daniel Stamate
A User-Oriented Approach for the Protection of Statistical Databases. Sci. Ann. Cuza Univ. 1 (1992)
Henri Luchian, Daniel Stamate
Statistical Protection for Statistical Databases. SSDBM (1992)