Peer reviewed publications - Daniel Stamate

A Machine Learning Framework for Predicting Dementia and Mild Cognitive Impairment, Proc. 17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), 2018. Daniel Stamate, Wajdi Alghammdi, Jeremy Ogg, Richard Hoile, Fionn Murtagh (to appear December 2018)

Data Science Challenges in Computational Psychiatry and Psychiatric Research. Proc. 5th IEEE Data Science and Advanced Analytics, 2018. Daniel Stahl, Daniel Stamate (to appear October 2018)

On XLE index constituents’ social media based sentiment informing the index trend and volatility prediction. Proc. 10th International Conference on Computational Collective Intelligence (ICCCI), 2018, Springer LNCS/LNAI. Frederic Marechal, Daniel Stamate, Rapheal Olaniyan, Jiri Marek (to appear September 2018)

A New Machine Learning Framework for Understanding the Link between Cannabis Use and First-Episode Psychosis. Studies in Health Technology and Informatics 2018; 248:9-16, IOS Press, DOI 10.3233/978-1-61499-858-7-9. Wajdi Alghamdi, Daniel Stamate, Daniel Stahl, Alexander Zamyatin, Robin Murray, Marta di Forti

Predicting First-Episode Psychosis Associated with Cannabis Use with Artificial Neural Networks and Deep Learning. Proc. 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 2018, Springer CCIS, DOI https://doi.org/10.1007/978-3-319-91479-4_57. Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Ida Pu, Fionn Murtagh, Danielle Belgrave, Robin Murray and Marta di Forti

PIDT: A Novel Decision Tree Algorithm Based on Parameterised Impurities and Statistical Pruning Approaches, Proc. 14th International Conference on Artificial Intelligence Applications and Innovations (AIAI), 2018, Springer IFIP, DOI https://doi.org/10.1007/978-3-319-92007-8_24. Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Doina Logofatu and Alexander Zamyatin

Can Artificial Neural Networks Predict Psychiatric Conditions Associated with Cannabis Use? Proc. 14th International Conference on Artificial Intelligence Applications and Innovations (AIAI), 2018, Springer IFIP, DOI https://doi.org/10.1007/978-3-319-92007-8_27. Daniel Stamate, Wajdi Alghamdi, Daniel Stahl, Alexander Zamyatin, Robin Murray and Marta di Forti

Predicting Psychosis Using the Experience Sampling Method with Mobile Applications.
Proceedings of 16th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), 2017, Publisher: IEEE, DOI: 10.1109/ICMLA.2017.00-84. Daniel Stamate, Andrea Katrinecz, Wajdi Alghamdi, Daniel Stahl, ESM-MERGE Group Investigators, Philippe Delespaul, Jim van Os, Sinan Guloksuz.

Predictive Modelling Strategies to Understand Heterogeneous Manifestations of Asthma in Early Life.
Proceedings of 16th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), 2017, Publisher: IEEE, DOI: 10.1109/ICMLA.2017.0-176. Daniel Stamate, Danielle Belgrave, Rachel Cassidy, Adnan Custovic, Louise Fleming, Andrew Bush and Sejal Saglani.

Assessing symptom dimensions as well as DSM-IV diagnostic categories improves the prediction of time to first remission in first-episode psychosis. Schizophrenia Research, doi: 10.1016/j.schres.2017.07.042, Elsevier, 2017, pp. 391-398. Ajnakina, O., Lally, J., Di Forti, M., Stilo, S.A., Kolliakou, A., Gardner-Sood, P., Dazzan, P., Pariante, C., Marques, T.R., Mondelli, V., MacCabe, J., Gaughran, F., David, A.S., Stamate D., Murray, R.M., & Fisher, H.L

Particle Swarm Optimization Algorithms for Autonomous Robots with Leaders Using Hilbert Curves.
Proceedings of 18th International Conference on Engineering Applications of Neural Networks (EANN), 2017, Publisher: Springer, DOI https://doi.org/10.1007/978-3-319-65172-9_45. Doina Logofatu, Gil Sobol, Daniel Stamate

A Novel Space Filling Curves Based Approach to PSO Algorithms for Autonomous Agents.
Proceedings of 9th International Conference on Computational Collective Intelligence (ICCCI), 2017, Publisher: Springer, DOI https://doi.org/10.1007/978-3-319-67074-4_35. Doina Logofatu, Gil Sobol, Daniel Stamate, Kristiyan Balabanov

A Prediction Modelling and Pattern Detection Approach for the First-Episode Psychosis Associated to Cannabis Use. Proceedings of 15th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), 2016, Publisher: IEEE, DOI: 10.1109/ICMLA.2016.0148. Wajdi Alghamdi, Daniel Stamate, Katherine Vang, Daniel Stahl, Marco Colizzi, Giada Tripoli, Diego Quattrone, Olesya Ajnakina, Robin M. Murray and Marta Di Forti

A Statistical Learning Approach to Predicting the First Episode Psychosis Associated to High Potency Cannabis Use. Prediction Modelling in Psychiatric Research Workshop (UK-PMPR), 2016. W. Alghamdi, D. Stamate, K. Vang, D. Stahl, D. Quattrone, M. Colizzi, G. Tripoli, M. Di Forti, and R. M Murray

Sentiment and Stock Market Volatility Predictive Modelling - a Hybrid Approach.
Proceedings of the 2nd IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA), 2015, Publisher: IEEE, DOI: 10.1109/DSAA.2015.7344855 . Rapheal  Olaniyan, Daniel Stamate, Doina Logofatu, Lahcen Ouarbya

A Novel Statistical and Machine Learning Hybrid Approach to Predicting S&P 500 using Sentiment Analysis.  Proceedings of the 8th International Conference of the ERCIM Working Group on Computational and Methodological Statistics, and International Conference on Computational and Financial Econometrics, 2015. Fionn Murtagh, Rapheal Olaniyan, Daniel Stamate

Social Web-Based Anxiety Index’s Predictive Information on S&P 500, Revisited.
Proceedings of the 3rd International Symposium on Statistical Learning and Data Sciences (SLDS), 2015, Springer LNAI. Rapheal Olaniyan, Daniel Stamate, Doina Logofatu

Improving Time-Efficiency in Blocking Expanding Ring Search for Mobile Ad Hoc Networks.
Journal of Discrete Algorithms, Volume 24, 2014, pp. 59-67. I. Pu, D. Stamate and Y. Shen

Scalable Distributed Genetic Algorithm for Data Ordering Problem with Inversion Using MapReduce.
Proceedings of the 10th International Conference on Artificial Intelligence Applications and Innovations (AIAI), 2014, Springer 2014 IFIP Advances in Information and Communication Technology. Doina Logofatu, Daniel Stamate

Quantitative Semantics for Uncertain Knowledge Bases. Proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 2012, Springer-Verlag (LNAI/CCIS series). Daniel Stamate

Imperfect Information Fusion using Rules with Bilattice based Fixpoint Semantics.
Proc. of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 2012, Springer LNAI/CCIS. Daniel Stamate, Ida Pu

Fixpoint Semantics for Extended Logic Programs on Bilattice based Multivalued Logics, and Applications. Proceedings of ManyVal Conference, 2012. Daniel Stamate, Ida Pu

Queries with Multivalued Logic based Semantics for Imperfect Information Fusion.
Proceedings of the 40th IEEE International Symposium on Multiple-Valued Logics (IEEE ISMVL), 2010. Daniel Stamate

A Bilattice based Fixed Point Semantics for Integrating Imperfect Information. Proceedings of the 6th Workshop on Fixed Points in Computer Science (FICS), 2009. Daniel Stamate

Default Reasoning with Imperfect Information in Multivalued Logics. Proceedings of the 38th IEEE International Symposium on Multiple-Valued Logics (IEEE ISMVL), 2008. Daniel Stamate

Imperfect Information Representation through Extended Logic Programs in Bilattices.
Uncertainty and Intelligent Information Systems, B.Bouchon-Meunier, R.R. Yager, C. Marsala, and M. Rifqi (Eds.), World Scientific, ISBN 978-981-279-234-1, 2008. Daniel Stamate

Reduction in Dimensions and Clustering using Risk and Return Model.
Proceedings of the IEEE International Symposium on Data Mining and Information Retrieval (IEEE DMIR), 2007. S.W. Qaiyumi, D. Stamate

Representing Imperfect Information through Extended Logic Programs in Multivalued Logics. Proceedings of the 11th biennial Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 2006. Daniel Stamate

Assumption based Multiple-Valued Semantics for Extended Logic Programs. Proceedings of the 36th IEEE International Symposium on Multiple-Valued Logics (IEEE ISMVL), 2006. Daniel Stamate

Hypothesis-based Semantics of Logic Programs in Multivalued Logics. ACM Transactions on Computational Logic 15(3), 2004, pp. 508-527. Yann Loyer, Nicolas Spyratos, Daniel Stamate

Parameterized Semantics for Logic Programs - a Unifying Framework. Theoretical Computer Science 308(1-3), Elsevier, 2003, pp. 429-447. Yann Loyer, Nicolas Spyratos, Daniel Stamate

Hypothesis Support for Information Integration in Four-Valued Logics.  Proceedings of IFIP International Conference on Theoretical Computer Science, LNCS No. 1872, Springer, pp. 536-548, 2000. Yann Loyer, Nicilas Spyratos, Daniel Stamate

Integration of Information in Four-Valued Logics under Non-Uniform Assumptions. Proceedings of the 30th IEEE International Symposium on Multiple-Valued Logics (ISMVL), 2000, pp. 185-191. Yann Loyer, Niclas Spyratos, Daniel Stamate

Test d'Hypothèses pour l'Intégration d'Informations en Logique à Quatre Valeurs. Proceedings of JFPLC'2000 (Journées Francophones de Programmation Logique et Programmation
par Contraintes), Hermes, 2000, pp. 265-278. Y. Loyer, N. Spyratos, D. Stamate

Hypotheses Based Semantics for Information Integration in Four-valued Logics. Proceedings of the Fixed Points in Computer Science Workshop (FICS), 2000. Yann Loyer, Nicilas Spyratos, Daniel Stamate

Interfacing Decision Support Systems under Incomplete Information. Proceedings of the 25th International Conference on Information and Communication Technologies  and Programming, 2000, pp. 21-31. Yann Loyer,  Nicolas Spyratos, Daniel Stamate

Interfacing Decision Support Systems under Incomplete Information. International Journal Information Theories and Applications 7(1), 2000, pp. 38-48. Yann Loyer, Nicolas Spyratos, Daniel Stamate

Computing and Comparing Semantics of Programs in Four-valued Logics. Proceedings of the 24th International Symposium on Mathematical  Foundations of Computer Science (MFCS), 1999,
LNCS No. 1672, Springer, pp. 59-69. Yann Loyer, Nicolas Spyratos, Daniel Stamate

Deterministic Enforcement of Constraints. Journal of Programming and Computer Software 24, 1998, pp. 71-83. Dominique Laurent, Nicolas Spyratos, Daniel Stamate

Unification des Semantiques Usuelles de Programmes Logiques. Proceedings of JFPLC'98 (Journées Francophones de Programmation Logique et Programmation par Contraintes), Hermes, 1998, pp. 135-150. Y. Loyer, N. Spyratos, D. Stamate

Semantics and Containment of Queries with Internal and External conjunctions.  Proceedings of the 6th International Conference on Database Theory (ICDT), 1997, LNCS  No. 1186  Springer, pp. 71-82. Gosta Grahne,  Nicolas Spyratos, Daniel Stamate

Semantics and Containment of Queries in Multimedia Information Systems. Proceedings of the 2nd International Workshop on Multimedia Information Systems, 1997, pp. 82-87. Gosta Grahne, Nicolas Spyratos, Daniel Stamate

Multivalued Stable Semantics for Updating Databases with Uncertain Information. Frontiers in Artificial Intelligence and Applications: Information Modelling and Knowledge Bases VIII, H. Kangassalo et al. (eds), IOS Press, pp. 129-144, ISBN 905199334X, 1997. Nicolas Spyratos, Daniel Stamate

Bases de Données avec Informations Incertaines. Sémantique et Mises à Jour. Proceedings of JFPLC'96 (Journées Francophones de Programmation Logique et Programmation
par Contraintes), Hermes, 1996,  pp. 49-63. N. Spyratos, D. Stamate

A Class of Active Database Constraints. Proceedings of the International Conference on Information Technology, 1996.  M. Halfeld Ferrari Alves, D. Laurent, N. Spyratos, D. Stamate

Answer-Perturbation Techniques for the Protection of Statistical Databases. Statistics and Computing 5, Springer, 1995, pp. 203-213. Daniel Stamate, Henri Luchian

A general Model for the Answer-Perturbation Techniques. Proceedings of the 7th International Working Conference on Scientific and Statistical Database Management (SSDBM), 1994, Charlottesville, USA,  pp. 90-96. Daniel Stamate, Henri Luchian, Ben Paechter

Statistical Protection for Statistical Databases. Proceedings of the 6th International Working Conference on Scientific and Statistical Database Management (SSDBM), 1992, Ascona, Switzerland, pp. 160-177. Henri Luchian, Daniel Stamate

User-Oriented Approach for the Protection of Statistical Databases. Scientific Annals of "Alexandru Ioan Cuza" University of Iasi, vol. 1, Computer Science, 1992, pp. 41-55. Henri Luchian and Daniel Stamate