Browse by Goldsmiths authors: Stamate, Daniel

Number of items: 47.
Article
  • 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
  • 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
  • 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
  • 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
  • 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.
  • Improving time-efficiency in blocking expanding ring search for mobile ad hoc networks. (2014) Pu, Ida; Stamate, Daniel and Shen, Yuji
  • 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.
    • Book Section
  • Imperfect Information Representation through Extended Logic Programs in Bilattices. (2008) Stamate, Daniel
    • Conference or Workshop Item
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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