**Publications
Daniel Stamate**

[1]
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'17), 2017, with Rachel Cassidy, Danielle Belgrave et al. To
appear.

[2]
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, with 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

[3]
Particle Swarm Optimization Algorithms for Autonomous Robots with
Leaders Using Hilbert Curves.

Proceedings of 18th International
Conference on Engineering Applicationa of Neiral Networks, EANN 2017,
to appear in Springer series, August 2017, with Doina Logofatu and
Gil Sobol

[4]
A Novel Space Filling Curves Based Approach to PSO Algorithms for
Autonomous Agents.

Proceedings of 9th International Conference on
Computational Collective Intelligence, ICCCI 2017, to appear in
Springer series, September 2017, with Doina Logofatu, Gil Sobol,
Kristiyan Balabanov

[5]
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'16),
2016, with Wajdi Alghamdi, Katherine Vang, Daniel Stahl, Marco
Colizzi, Giada Tripoli, Diego Quattrone, Olesya Ajnakina, Robin M.
Murray and Marta Di Forti

[6]
A Statistical Learning Approach to Predicting the First Episode
Psychosis Associated to High Potency Cannabis Use.

Poster at 1^{st}
Prediction Modelling in Psychiatric Research Workshop (UK-PMPR),
2016, with W. Alghamdi, K. Vang, D. Stahl, D. Quattrone, M. Colizzi,
G. Tripoli, M. Di Forti, and R. M Murray

[7]
Sentiment and Stock Market Volatility Predictive Modelling - a Hybrid
Approach.

Proceedings of the 2nd IEEE/ACM International
Conference on Data Science and Advanced Analytics (DSAA’2015),
with R. Olaniyan, D. Logofatu and L. Ouarbya

[8]
A Novel Statistical and Machine Learning Hybrid Approach to
Predicting S&P 500 using Sentiment Analysis.

Proceedings of
the 8^{th} International Conference of the ERCIM Working
Group on Computational and Methodological Statistics,

and
International Conference on Computational and Financial Econometrics,
2015, with Fionn Murtagh and Rapheal Olaniyan

[9]
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,
with R. Olaniyan and D. Logofatu

[10]
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, with D. Logofatu

[11]
Improving Time-Efficiency in Blocking Expanding Ring Search for
Mobile Ad Hoc Networks.

Journal of Discrete Algorithms, Volume 24,
2014, with I. Pu and Y. Shen

[12]
Data Mining in Interdisciplinary Research.

Invited talk,
International Conference on Interdisciplinary Approaches to the Study
of Individual Differences in Learning, London, 2013

[13] 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), 2012

[14] Imperfect
Information Fusion using Rules with Bilattice based Fixpoint
Semantics.

Proceedings of the 14th International Conference on
Information Processing and Management

of Uncertainty in
Knowledge-Based Systems (IPMU 2012), Springer-Verlag (LNAI/CCIS
series), 2012, with I. Pu

[15] Fixpoint
Semantics for Extended Logic Programs on Bilattice based Multivalued
Logics, and Applications.

Proceedings of ManyVal 2012 Conference,
2012, with I. Pu

[16] Queries with
Multivalued Logic based Semantics for Imperfect Information
Fusion.

Proceedings of the 40th IEEE International Symposium on
Multiple-Valued Logics (IEEE ISMVL 10), 2010

[17] A Bilattice
based Fixed Point Semantics for Integrating Imperfect
Information.

Proceedings of the 6th Workshop on Fixed Points in
Computer Science (FICS 09), 2009

[18] Default
Reasoning with Imperfect Information in Multivalued
Logics.

Proceedings of the 38th IEEE International Symposium on
Multiple-Valued Logics (IEEE ISMVL 08), 2008

[19] Imperfect
Information Representation through Extended Logic Programs in
Bilattices.

Book chapter. In 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

[20] Reduction in
Dimensions and Clustering using Risk and Return Model

Proceedings
of the IEEE International Symposium on Data Mining and Information
Retrieval

(IEEE DMIR07), 2007, with S.W. Qaiyumi

[21] Representing
Imperfect Information through Extended Logic Programs in Multivalued
Logics.

Proceedings of the 11th biennial Conference on Information
Processing and Management of Uncertainty invKnowledge-Based Systems
(IPMU 06), 2006

[22] Assumption
based Multiple-Valued Semantics for Extended Logic
Programs.

Proceedings of the 36th IEEE International Symposium on
Multiple-Valued Logics (IEEE ISMVL 06), 2006

[23] Extended
Deductive Databases with Uncertain Information.

Proceedings of the
7th International Conference on Enformatika Systems Sciences and
Engineering, 2005

**[24]
Hypothesis-based Semantics of Logic Programs in Multivalued Logics**.

Journal - ACM Transactions on Computational Logic 15(3), pp.
508-527, 2004, with Y. Loyer and N. Spyratos

[25]
Parameterized Semantics for Logic Programs - a Unifying Framework.

Journal - Theoretical Computer Science 308(1-3), pp. 429-447,
2003, with Y. Loyer and N. Spyratos

[26] Hypothesis
Support for Information Integration in Four-Valued Logics.

Proceedings of IFIP International Conference on Theoretical
Computer Science,

LNCS No. 1872 (Springer Verlag), pp. 536-548,
2000, with Y. Loyer and N. Spyratos

[27] Interfacing
Decision Support Systems under Incomplete Information.

International
Journal Information Theories and Applications 7(1), pp. 38-48, 2000,
with Y. Loyer and N.Spyratos

[28] Integration
of Information in Four-Valued Logics under Non-Uniform Assumptions.

Proceedings of the 30th IEEE International Symposium on
Multiple-Valued Logics, pp. 185-191, 2000, with Y. Loyer and N.
Spyratos

[29] Hypotheses
Based Semantics for Information Integration in Four-valued Logics.

Proceedings of the FICS2000 Workshop (Fixed Points in Computer
Science), 2000, with Y. Loyer and N. Spyratos

[30] Interfacing
Decision Support Systems under Incomplete Information.

Proceedings
of the 25th International Conference on Information and Communication
Technologies

and Programming, 2000, pp. 21-31, with Y. Loyer and
N. Spyratos

[31] Computing
and Comparing Semantics of Programs in Four-valued Logics.

Proceedings of the the 24th International Symposium on
Mathematical Foundations of Comp. Science,

LNCS No.
1672 (Springer Verlag), pp. 59-69, 1999, with Y. Loyer and N.
Spyratos

[32]
Deterministic Enforcement of Constraints.

Journal - Programming
and Computer Software 24, pp. 71-83, 1998, with D. Laurent and N.
Spyratos

[33] Semantics
and Containment of Queries with Internal and External conjunctions.

Proceedings of the 6th International Conference on Database
Theory, LNCS No. 1186

(Springer Verlag), pp. 71-82, 1997,
with G. Grahne and N. Spyratos

[34] Multivalued
Stable Semantics for Updating Databases with Uncertain
Information.

Information Modelling and Knowledge Bases, VIII, IOS
Press, pp. 129-144, 1997, with N. Spyratos

[35] Semantics
and Containment of Queries in Multimedia Information Systems.

Proceedings of the 2nd International Workshop on Multimedia
Information Systems,

West Point, USA, pp. 82-87, 1997, with G.
Grahne and N. Spyratos

[36] A Class of
Active Database Constraints.

Proceedings of the International
Conference on Information Technology '96, 1996,

with M.
Halfeld Ferrari Alves, D. Laurent and N. Spyratos

[37]
Answer-Perturbation Techniques for the Protection of Statistical
Databases.

Journal - Statistics and Computing 5, Springer, pp.
203-213, 1995, with H. Luchian

[38] A general
Model for the Answer-Perturbation Techniques.

Proceedings of the
7th International Working Conference on Scientific and Statistical
Database

Management, pp. 90-96, 1994, with H. Luchian and B.
Paechter

[39] Statistical
Protection for Statistical Databases.

Proceedings of the 6th
International Working Conference on Scientific and Statistical
Database

Management, Ascona, Switzerland, pp. 160-177, 1992, with
H. Luchian

[40]
User-Oriented Approach for the Protection of Statistical
Databases.

Scientific Annals of "Alexandru Ioan Cuza"
University of Iasi, vol. 1 (Computer Science), pp. 41-55, 1992, with
H. Luchian

[41] Test
d'Hypothèses pour l'Intégration d'Informations en
Logique à Quatre Valeurs *(In French)*

Proceedings of
JFPLC'2000 (Journées Francophones de Programmation Logique et
Programmation

par Contraintes), Hermes, pp. 265-278, 2000, with
Y. Loyer and N. Spyratos

[42] Unification
des Semantiques Usuelles de Programmes Logiques *(In
French)*

Proceedings of JFPLC'98 (Journées Francophones
de Programmation Logique et Programmation

par Contraintes),
Hermes, pp. 135-150, 1998, with Y. Loyer and N. Spyratos

[44] Bases de
Données avec Informations Incertaines. Sémantique et
Mises à Jour *(In French) *

Proceedings of JFPLC'96
(Journées Francophones de Programmation Logique et
Programmation

par Contraintes), Hermes, pp. 49-63, 1996,
with N. Spyratos