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Browse by Goldsmiths authors: Stamate, Daniel

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Number of items: 27.

Article

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Stamate, Daniel; Katrinecz, Andrea; Stahl, Daniel; Verhagen, Simone J.W.; Delespaul, Philippe A.E.G.; van Os, Jim and Guloksuz, Sinan. 2019. Identifying psychosis spectrum disorder from experience sampling data using machine learning approaches. Schizophrenia Research, 209, pp. 156-163. ISSN 0920-9964 [Article]

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Nikolaev, Nikolay; Smirnov, Evgueni; Stamate, Daniel and Zimmer, Robert. 2019. A Regime-Switching Recurrent Neural Network Model Applied to Wind Time Series. Applied Soft Computing, 80, pp. 723-734. ISSN 1568-4946 [Article]

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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.. 2017. Utilising symptom dimensions with diagnostic categories improves prediction of time to first remission in first-episode psychosis. Schizophrenia Research, 193, pp. 391-398. ISSN 0920-9964 [Article]

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Pu, Ida; Stamate, Daniel and Shen, Yuji. 2014. Improving time-efficiency in blocking expanding ring search for mobile ad hoc networks. Journal of Discrete Algorithms, 24, pp. 59-67. ISSN 1570-8667 [Article]

Stamate, Daniel. 2008. Default Reasoning with Imperfect Information in Multivalued Logics. 38th International Symposium on Multiple Valued Logic, n/a, pp. 163-168. ISSN 0195-623X [Article]

Stamate, Daniel; Loyer, Y. and Spyratos, N.. 2004. Hypothesis-based semantics of logic programs in multivalued logics. ACM Transactions on Computational Logic, 5(3), pp. 508-527. ISSN 15293785 [Article]

Stamate, Daniel; Loyer, Y. and Spyratos, N.. 2003. Parametrized semantics of logic programs: a unifying framework. Theoretical Computer Science, 308(1-3), pp. 429-447. ISSN 03043975 [Article]

Book Section

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Walghamdi, Wajdi; Stamate, Daniel; Stahl, Daniel; Murray, Robin and Di Forti, Marta. 2018. A New Machine Learning Framework for Understanding the Link between Cannabis Use and First-Episode Psychosis. In: , ed. Volume 248: Health Informatics Meets eHealth. 248 IOS Press, pp. 9-16. ISBN 978-1-61499-857-0 [Book Section]

Stamate, Daniel. 2008. Imperfect Information Representation through Extended Logic Programs in Bilattices. In: Bernadette Bouchon-Meunier; Christophe Marsala; Maria Rifqi and Ronald R Yager, eds. UNCERTAINTY AND INTELLIGENT INFORMATION SYSTEMS. London: World Scientific, pp. 419-432. ISBN 978-981-279-234-1 [Book Section]

Conference or Workshop Item

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Olaniyan, Rapheal; Stamate, Daniel; Pu, Ida; Zamyatin, Alexander; Vashkel, Anna and Marechal, Frederic. 2019. 'Predicting S&P 500 based on its constituents and their social media derived sentiment'. In: Proceedings 11th International Conference on Computational Collective Intelligence (ICCCI), 2019. Hendaye, France 4-6 September 2019. [Conference or Workshop Item] (In Press)

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Marechal, Frederic; Stamate, Daniel; Olaniyan, Rapheal and Marek, Jiri. 2018. 'On XLE index constituents’ social media based sentiment informing the index trend and volatility prediction'. In: 10th International Conference on Computational Collective Intelligence (ICCCI 2018). Bristol, United Kingdom. [Conference or Workshop Item]

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Stamate, Daniel; Alghamdi, Wajdi; Stahl, Daniel; Zamyatin, Alexander; Murray, Robin and di Forti, Marta. 2018. 'Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use?'. In: 14th AIAI: IFIP International Conference on Artificial Intelligence Applications and Innovations. Rhodes, Greece. [Conference or Workshop Item]

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Stamate, Daniel; Alghamdi, Wajdi; Stahl, Daniel; Logofatu, Doina and Zamyatin, Alexander. 2018. 'PIDT: A Novel Decision Tree Algorithm Based on Parameterised Impurities and Statistical Pruning Approaches'. In: 14th IFIP International Conference on Artificial Intelligence Applications and Innovations. Rhodes, Greece. [Conference or Workshop Item]

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Stamate, Daniel; Alghamdi, Wajdi; Stahl, Daniel; Pu, Ida; Murtagh, Fionn; Belgrave, Danielle; Murray, Robin and di Forti, Marta. 2018. 'Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning'. In: IPMU 2018: 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Cadiz, Spain. [Conference or Workshop Item]

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Belgrave, Danielle; Cassidy, Rachel; Stamate, Daniel; Custovic, Adnan; Fleming, Louise; Bush, Andrew and Saglani, Sejal. 2018. 'Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life'. In: 16th IEEE International Conference on Machine Learning and Applications 2017. Cancun, Mexico. [Conference or Workshop Item]

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Stamate, Daniel; Katrinecz, Andrea; Alghamdi, Wajdi; Stahl, Daniel; Delespaul, Philippe; van Os, Jim and Guloksuz, Sinan. 2017. 'Predicting Psychosis Using the Experience Sampling Method with Mobile Apps'. In: ICMLA 2017: 16th IEEE International Conference on Machine Learning and Applications (ICMLA). Cancun, Mexico 18-21 December 2017. [Conference or Workshop Item]

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Logofătu, Doina; Sobol, Gil; Stamate, Daniel and Balabanov, Kristiyan. 2017. 'A Novel Space Filling Curves Based Approach to PSO Algorithms for Autonomous Agents'. In: ICCCI 2017: 9th International Conference on Computational Collective Intelligence. Nicosia, Cyprus. [Conference or Workshop Item]

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Logofatu, Doina; Sobol, Gil and Stamate, Daniel. 2017. 'Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves'. In: 18th International Conference on Engineering Applications of Neural Networks (EANN 2017). Athens, Greece. [Conference or Workshop Item]

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Alghamdi, Wajdi; Stamate, Daniel; Vang, Katherine; Stahl, Daniel; Colizzi, Marco; Tripoli, Giada; Quattrone, Diego; Ajnakina, Olesya; Murray, Robin M. and Forti, Marta Di. 2016. 'A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use'. In: 15th IEEE International Conference on Machine Learning and Applications. Anaheim, California, United States. [Conference or Workshop Item]

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Murtagh, Fionn; Olaniyan, Rapheal and Stamate, Daniel. 2015. 'A novel statistical and machine learning hybrid approach to predicting S&P500 using sentiment analysis'. In: 8th International Conference of the ERCIM Working Group on Computational and Methodological Statistics. Senate House, University of London, United Kingdom. [Conference or Workshop Item]

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Olaniyan, Rapheal; Stamate, Daniel; Ouarbya, Lahcen and Logofatu, Doina. 2015. 'Sentiment and stock market volatility predictive modelling - A hybrid approach'. In: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA). Paris, France. [Conference or Workshop Item]

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Olaniyan, Rapheal; Stamate, Daniel and Logofatu, Doina. 2015. 'Social Web-based Anxiety Index's Predictive Information on S&P 500 Revisited'. In: SLDS 2015: 3rd International Syposium on Statistical Learning and Data Sciences. Royal Holloway UoL, Egham, United Kingdom. [Conference or Workshop Item]

Logofatu, Doina and Stamate, Daniel. 2014. 'Scalable Distributed Genetic Algorithm for Data Ordering Problem with Inversion Using MapReduce'. In: AIAI 2014: 10th IFIP International Conference on Artificial Intelligence Applications and Innovations. Rhodes, Greece. [Conference or Workshop Item]

Stamate, Daniel and Pu, Ida. 2012. 'Imperfect Information Fusion Using Rules with Bilattice Based Fixpoint Semantics'. In: 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012. Catania, Italy. [Conference or Workshop Item]

Stamate, Daniel. 2010. 'Queries with Multivalued Logic-Based Semantics for Imperfect Information Fusion'. In: 40th IEEE International Symposium on Multiple-Valued Logic (ISMVL '10). Barcelona, Spain 26-28 May 2010. [Conference or Workshop Item]

Stamate, Daniel and Qaiyumi, S.. 2007. 'Reduction in Dimensions and Clustering using Risk and Return Model'. In: IEEE International Symposium on Data Mining and Information Retrieval (IEEE DMIR-07) in conjunction with the IEEE 21 International Conference on Advanced Information Networking and Applications (IEEE AINA-07), Niagara Falls, Canada. UNDEFINED 5/1/2007. [Conference or Workshop Item]

Stamate, Daniel. 2006. 'Assumption based Multi-Valued Semantics for Extended Logic Programs'. In: 36th IEEE International Symposium on Multiple-Valued Logics (IEEE ISMVL 2006). UNDEFINED 5/1/2006. [Conference or Workshop Item]

This list was generated on Mon Sep 23 03:59:06 2019 BST.