Browse by Goldsmiths authors: Stamate, Daniel

Item Type Date No Grouping

Balancing accuracy and Interpretability: An R package assessing complex relationships beyond the Cox model and applications to clinical prediction. (2025) Shamsutdinova, Diana; Stamate, Daniel and Stahl, Daniel

Identifying individuals at high risk for dementia in primary care: Development and validation of the DemRisk risk prediction model using routinely collected patient data. (2024) Reeves, David; Morgan, Catharine; Stamate, Daniel; Ford, Elizabeth; Ashcroft, Darren M.; Kontopantelis, Evangelos; Van Marwijk, Harm and McMillan, Brian

Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling. (2024) Musto, Henry; Stamate, Daniel; Logofatu, Doina and Stahl, Daniel picture_as_pdf

Ensembles of Bidirectional LSTM and GRU Neural Nets for Predicting Mother-Infant Synchrony in Videos. (2024) Stamate, Daniel; Davuloori, Pradyumna; Logofatu, Doina; Mercure, Evelyne; Addyman, Caspar and Tomlinson, Mark

On a Survival Gradient Boosting, Neural Network and Cox PH Based Approach to Predicting Dementia Diagnosis Risk on ADNI. (2024) Musto, Henry; Stamate, Daniel; Logofatu, Doina and Ouarbya, Lahcen

Predicting High vs Low Mother-Baby Synchrony with GRU-Based Ensemble Models. (2023) Stamate, Daniel; Haran, Riya; Rutkowska, Karolina; Davuloori, Pradyumna; Mercure, Evelyne; Addyman, Caspar and Tomlinson, Mark

Predicting Alzheimer’s Disease Diagnosis Risk Over Time with Survival Machine Learning on the ADNI Cohort. (2023) Musto, Henry; Stamate, Daniel; Pu, Ida and Stahl, Daniel

Predicting Colour Reflectance with Gradient Boosting and Deep Learning. (2023) Akanuma, Asei; Stamate, Daniel and Bishop, Mark (J. M.)

A Neural Network Approach to Estimating Color Reflectance with Product Independent Models. (2022) Akanuma, Asei and Stamate, Daniel

Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes. (2022) Shamsutdinova, Diana; Stamate, Daniel; Roberts, Angus and Stahl, Daniel

Predicting Risk of Dementia with Survival Machine Learning and Statistical Methods: Results on the English Longitudinal Study of Ageing Cohort. (2022) Stamate, Daniel; Musto, Henry; Ajnakina, Olesya and Stahl, Daniel

A Machine Learning Approach for Predicting Deterioration in Alzheimer's Disease. (2022) Musto, Henry; Stamate, Daniel; Pu, Ida and Stahl, Daniel

Predicting risk of dementia with machine learning and survival models using routine primary care records. (2022) Langham, John; Stamate, Daniel; Wu, Charlotte A.; Murtagh, Fionn; Morgan, Catharine; Reeves, David; Ashcroft, Darren; Kontopantelis, Evan and McMillan, Brian

Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. (2021) Ermaliuc, Miha; Stamate, Daniel; Magoulas, George D. and Pu, Ida

A Two-Step Optimised BERT-Based NLP Algorithm for Extracting Sentiment from Financial News. (2021) Olaniyan, Rapheal; Stamate, Daniel and Pu, Ida

Particle swarm optimization algorithms for autonomous robots with deterministic leaders using space filling movements. (2020) Logofătu, Doina; Sobol, Gil; Andersson, Christina; Stamate, Daniel; Balabanov, Kristiyan and Cejrowski, Tymoteusz

Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment. (2020) Stamate, Daniel; Smith, Richard; Tsygancov, Ruslan; Vorobev, Rostislav; Langham, John; Stahl, Daniel and Reeves, David

A metabolite-based machine learning approach to diagnose Alzheimer’s-type dementia in blood: Results from the European Medical Information Framework for Alzheimer's Disease biomarker discovery cohort. (2019) Stamate, Daniel; Kim, Min; Proitsi, Petroula; Westwood, Sarah; Baird, Alison; Nevado-Holgado, Alejo; Hye, Abdul; Bos, Isabelle; Vos, Stephanie; Vandenberghe, Rik; Teunissen, Charlotte E; Kate, Mara Ten; Scheltens, Philip; Gabel, Silvy; Meersmans, Karen; Blin, Olivier; Richardson, Jill; Roeck, Ellen De; Engelborghs, Sebastiaan; Sleegeres, Kristel; Bordet, Régis; Rami, Lorena; Kettunen, Petronella; Tsolaki, Magd; Verhey, Frans; Alcolea, Daniel; Lléo, Alberto; Peyratout, Gwendoline; Tainta, Mikel; Johannsen, Peter; Freund-Levi, Yvonne; Frölich, Lutz; Dobricic, Valerija; Frisoni, Giovanni B; Molinuevo, José L; Wallin, Anders; Popp, Julius; Martinez-Lage, Pablo; Bertram, Lars; Blennow, Kaj; Zetterberg, Henrik; Streffer, Johannes; Visser, Pieter J; Lovestone, Simon and Legido-Quigley, Cristina

Predicting S&P 500 based on its constituents and their social media derived sentiment. (2019) Olaniyan, Rapheal; Stamate, Daniel; Pu, Ida; Zamyatin, Alexander; Vashkel, Anna and Marechal, Frederic

Identifying psychosis spectrum disorder from experience sampling data using machine learning approaches. (2019) Stamate, Daniel; Katrinecz, Andrea; Stahl, Daniel; Verhagen, Simone J.W.; Delespaul, Philippe A.E.G.; van Os, Jim and Guloksuz, Sinan

A Regime-Switching Recurrent Neural Network Model Applied to Wind Time Series. (2019) Nikolaev, Nikolay; Smirnov, Evgueni; Stamate, Daniel and Zimmer, Robert

Data Science Challenges in Computational Psychiatry and Psychiatric Research. (2019) Stahl, Daniel and Stamate, Daniel

A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment. (2019) Stamate, Daniel; Alghambdi, Wajdi; Ogg, Jeremy; Hoile, Richard and Murtagh, Fionn

On XLE index constituents’ social media based sentiment informing the index trend and volatility prediction. (2018) Marechal, Frederic; Stamate, Daniel; Olaniyan, Rapheal and Marek, Jiri

Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use? (2018) Stamate, Daniel; Alghamdi, Wajdi; Stahl, Daniel; Zamyatin, Alexander; Murray, Robin and di Forti, Marta

PIDT: A Novel Decision Tree Algorithm Based on Parameterised Impurities and Statistical Pruning Approaches. (2018) Stamate, Daniel; Alghamdi, Wajdi; Stahl, Daniel; Logofatu, Doina and Zamyatin, Alexander

Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. (2018) Stamate, Daniel; Alghamdi, Wajdi; Stahl, Daniel; Pu, Ida; Murtagh, Fionn; Belgrave, Danielle; Murray, Robin and di Forti, Marta

A New Machine Learning Framework for Understanding the Link between Cannabis Use and First-Episode Psychosis. (2018) Walghamdi, Wajdi; Stamate, Daniel; Stahl, Daniel; Murray, Robin and Di Forti, Marta

Utilising symptom dimensions with diagnostic categories improves prediction of time to first remission in first-episode psychosis. (2018) Ajnakina, Olesya; Lally, John; Di Forti, Marta; Stilo, Simona; Kolliakou, Anna; Gardner-Sood, Poonam; Dazzan, Paola; Pariante, Carmine; Marques, Tiago Reiss; Mondelli, Valeria; MacCabe, James; Gaughran, Fiona; David, Anthony S; Stamate, Daniel; Murray, Robin and Fisher, Helen L.

Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life. (2018) Belgrave, Danielle; Cassidy, Rachel; Stamate, Daniel; Custovic, Adnan; Fleming, Louise; Bush, Andrew and Saglani, Sejal

Predicting Psychosis Using the Experience Sampling Method with Mobile Apps. (2017) Stamate, Daniel; Katrinecz, Andrea; Alghamdi, Wajdi; Stahl, Daniel; Delespaul, Philippe; van Os, Jim and Guloksuz, Sinan

A Novel Space Filling Curves Based Approach to PSO Algorithms for Autonomous Agents. (2017) Logofătu, Doina; Sobol, Gil; Stamate, Daniel and Balabanov, Kristiyan

Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves. (2017) Logofatu, Doina; Sobol, Gil and Stamate, Daniel

A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use. (2016) Alghamdi, Wajdi; Stamate, Daniel; Vang, Katherine; Stahl, Daniel; Colizzi, Marco; Tripoli, Giada; Quattrone, Diego; Ajnakina, Olesya; Murray, Robin M. and Forti, Marta Di

A novel statistical and machine learning hybrid approach to predicting S&P500 using sentiment analysis. (2015) Murtagh, Fionn; Olaniyan, Rapheal and Stamate, Daniel

Sentiment and stock market volatility predictive modelling - A hybrid approach. (2015) Olaniyan, Rapheal; Stamate, Daniel; Ouarbya, Lahcen and Logofatu, Doina

Social Web-based Anxiety Index's Predictive Information on S&P 500 Revisited. (2015) Olaniyan, Rapheal; Stamate, Daniel and Logofatu, Doina

Scalable Distributed Genetic Algorithm for Data Ordering Problem with Inversion Using MapReduce. (2014) Logofatu, Doina and Stamate, Daniel

Improving time-efficiency in blocking expanding ring search for mobile ad hoc networks. (2014) Pu, Ida; Stamate, Daniel and Shen, Yuji

Imperfect Information Fusion Using Rules with Bilattice Based Fixpoint Semantics. (2012) Stamate, Daniel and Pu, Ida

Queries with Multivalued Logic-Based Semantics for Imperfect Information Fusion. (2010) Stamate, Daniel

Default Reasoning with Imperfect Information in Multivalued Logics. (2008) Stamate, Daniel

Imperfect Information Representation through Extended Logic Programs in Bilattices. (2008) Stamate, Daniel

Reduction in Dimensions and Clustering using Risk and Return Model. (2007) Stamate, Daniel and Qaiyumi, S.

Assumption based Multi-Valued Semantics for Extended Logic Programs. (2006) Stamate, Daniel

Hypothesis-based semantics of logic programs in multivalued logics. (2004) Stamate, Daniel; Loyer, Y. and Spyratos, N.

Parametrized semantics of logic programs: a unifying framework. (2003) Stamate, Daniel; Loyer, Y. and Spyratos, N.