F. Murtagh and P. Contreras. “Algorithms for Hierarchical Clustering: An Overview, II”. Data Mining and Knowledge Discovery, Wiley Interdisciplinary Reviews (WIRES). John Wiley & Sons Inc. In press. 2017.
F. Murtagh and P. Contreras, “Direct Reading Algorithm for Hierarchical Clustering”, Electronic Notes in Discrete Mathematics. Vol. 56, pp 37–42, 2016.
P. Contreras and F. Murtagh. “Fast, Linear Time Hierarchical Clustering Using the Baire Metric”, Journal of Classification. Vol. 29, No. 2, pp 118–143, 2012.
P. Contreras and F. Murtagh. “Linear Time Baire Hierarchical Clustering for Enterprise Information Retrieval”, International Journal of Software and Informatics. Vol. 6, No. 3, pp 363–380, 2012.
F. Murtagh and P. Contreras. “Fast, Linear Time, m-Adic Hierarchical Clustering for Search and Retrieval Using the Baire Metric, with Linkages to Generalized Ultrametrics, Hashing, Formal Concept Analysis, and Precision of Data Measurement”, p-Adic Numbers, Ultra- metric Analysis, and Applications Journal. Vol. 4, No 1, pp 46–56, 2012.
F. Murtagh and P. Contreras. “Algorithms for Hierarchical Clustering: An Overview”. Data Mining and Knowledge Discovery, Wiley Interdisciplinary Reviews (WIRES). John Wiley & Sons Inc. Vol 2, No 1, pp 86–97, 2012.
F. Murtagh, P. Contreras and J. Starck. “Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation”, Entropy. Vol. 11, No. 3, pp 513–528, 2009.
F. Murtagh, G. Downs and P. Contreras. “Hierarchical Clustering of Massive, High Dimensional Data Sets by Exploiting Ultrametric Embedding”, SIAM Journal on Scientific Computing. Vol. 30, No. 2, pp 707–730, 2008.
S. Johnstone, P. Contreras, F. Murtagh, P. Sage. “Peer-to-Peer Information Access & Retrieval”, Ingénierie des Systèmes d’information. Vol. 10, No. 1, pp 101–122, 2005.
F. Murtagh, T. Taskaya, P. Contreras, J. Mothe, and K. Englmeier, “Interactive Visual User Interfaces: A Survey”, Artificial Intelligence Review. Vol 19, No. 4, pp 263-283, 2003.
K. Englemeier and P. Contreras. “Aspect Fusion as Design Paradigm for Legal Information Retrieval”. 4th International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI 2021). Feb. 2021.
J. Pereira, P. Contreras, D. Morais, and P. Arroyo-López. “Towards Multi-Criteria Clustering with Stochastic Parameters: Application to the Human Development Index Problem”. LII Simpósio Brasileiro de Pesquisa Operacional. Nov. 2020. [Awarded best paper].
J. Pereira, F. H. Vera Rivera, H. Astudillo, P. Contreras and J. Almeida. “A multi-criteria stochastic approach to prioritize user-stories in Agile Software Development” 2020 39th International Conference of the Chilean Computer Science Society (SCCC), pp. 1-7. Dec. 2020.
F. Murtagh and P. Contreras, “Clustering Through High Dimensional Data Scaling: Applications and Implementations”. Archives of Data Science (online first) kit scientific publishing. Vol. 2, No. 1, 2017.
F. Murtagh and P. Contreras, “Linear Storage and Potentially Constant Time Hierarchical Clustering Using the Baire Metric and Random Spanning Paths”. A.F.X. Wilhelm and H.A. Kestler (eds.), Analysis of Large and Complex Data (Studies in Classification, Data Analysis, and Knowledge Organization), Springer, pp 43-52. 2016.
F. Murtagh and P. Contreras “Direct Reading Algorithm for Hierarchical Clustering”. 1st IMA Conference on Theoretical and Computational Discrete Mathematics. University of Derby, UK. 22 – 23 March, 2016.
F. Murtagh and P. Contreras. “Clustering through High Dimensional Data Scaling: Applications and Implementations”. European Conference on Data Analysis ECDA 2015. Data Science: Foundations, Methods and Applications. University of Essex, Colchester, UK. Archives of Data Science. 2 – 4 September, 2015.
P. Contreras, F. Murtagh, L. Hadlington, and K. Scott. “Clustering Insider Threat Behaviour: An Ultrametric Anomaly Detection System”. 60th World Statistics Congress. Rio De Janeiro, Brazil. 26 – 31 July, 2015.
F. Murtagh and P. Contreras. “Analytics for Understanding the Narrative of the Scholarly Literature, and Research Funding Proposal Interests”. 60th World Statistics Congress. Rio De Janeiro, Brazil. 26 – 31 July, 2015.
P. Contreras and F. Murtagh. “Random Projection Towards the Baire Metric for High Dimensional Clustering”. 3rd International Symposium on Learning and Data Sciences. London, UK. 20 – 22 April, 2015.
P. Contreras, F. Murtagh, and J. Pereira. “Which Movie Shall I Watch? Ultrametric Based Recommendation System”. International Federation of Classification Societies (IFCS). Tilburg University, The Netherlands. 14 – 17 July, 2013.
F. Murtagh and P. Contreras. “Fast Redshift Clustering with the Baire (ultra) Metric”. In B. Zavidovique and G. Bosco, Eds., Science: Image in Action, Proceedings of the 7th International Workshop on Data Analysis in Astronomy, Livio Scarsi and Vito DiGesu, World Scientic, pp 64–76, 2012.
J. Pereira, F. Schmidt, P. Contreras, F. Murtagh, and H. Astudillo. “Clustering and Semantics Preservation in Cultural Heritage Information Spaces”, 9th Int. Conf. on Adaptivity, Personalization and Fusion of Heterogeneous Information. Paris, France. 28–30 April, 2010.
P. Contreras and F. Murtagh. “Fast Hierarchical Clustering from the Baire Distance”, Classification as a Tool for Research. Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassikation e.V., pp 235–243. Dresden, Germany. 13 – 18 March, 2009.
S. Bromuri, V. Urovi, P. Contreras, and K. Stathis. “A Virtual E-retailing Environment in GOLEM”, IET International Conference on Intelligent Environments, Seattle, USA, 21-22 July 2008.
P. Contreras and F. Murtagh, “AstroGrid as e-Learning Platform”. 1st International Kaleidoscope Learning Grid SIG Workshop on Distributed e-Learning Environments. Naples, Italy. 14 March 2005.
P. Contreras, S. Johnstone, F. Murtagh, and K. Englmeier, “Distributed Multimedia Content with P2P JXTA Technology”, Inclusive Design in the Information Society, Volume 4 of universal access in HCI 2003 International Conference on Human Computer Interaction. Lawrence Erlbaum, Mahwah, NJ, pp 690–694. 2003.
P. Contreras, M. Kokuer, M. Louys, and F. Murtagh, “Semantic Description of Signal and Image Databases”, in: Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision. Eds. A. Shearer, F.D. Murtagh, J. Mahon, and P.F. Whelan. Proceedings of the SPIE, Vol. 4877, pp 230–237. 2003.
P. Contreras, S. Johnstone, and F. Murtagh, “Peer to Peer Based Retrieval of Distributed Image Stores: demonstrator using JXTA”, Proceedings of the iAstro/IDHA Workshop Strasbourg Observatory, 28 – 29 November 2002.
T. Taskaya, P. Contreras, F. Tao, and F. Murtagh, “Data Visualization for Large Datasets”, Usability Evaluation and Interface Design: Cognitive Engineering, Intelligent Agents and Virtual Reality, Volume 1 of HCI 2001 International Conference on Human Computer Interaction. Lawrence Erlbaum, Mahwah, NJ, pp 913–917. 2001.
F. Tao, P. Contreras, B. Pauer, T. Taskaya and F. Murtagh, “User Interest Correlation in Log Data”, Usability Evaluation and Interface Design: Cognitive Engineering, Intelligent Agents and Virtual Reality, Volume 1 of HCI 2001 International Conference on Human Computer Interaction. Lawrence Erlbaum, Mahwah, NJ, pp 938–942. 2001.
U. Vorphal, J. Pereira, P. Contreras and N. Salazar, “Construction Methodology of Management Control Ratios Using Rationales of Systems Dynamics and Multi-Criteria Decision Aid”, INFORMS/ KORMS Seoul - Korea Information and Knowledge Management in the 21st century, 2000.
F. Murtagh and P. Contreras. “Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets”. D. Holmes, editor, Data Mining: Foundations and Intelligent Paradigms. Springer. Vol. 23, No. 1, pp 95–130. 2012.
D. Rosenberg, M. Lievonen, P. Contreras, F. Murtagh, G. Kuehn, and R. Doerner. “Application Design of Learning Grid in Computer-Mediated Communication”, The Learning Grid Handbook, Concepts, Technologies and Applications. pp 107–123. 2008.
S. Gibbs, P. Contreras, R. Isbell, A. Nicholson, A. Hood, and R. Balmbra. “Automating Cyber Defence Responses”, phase II (TRL 6). The Defence Science and Technology Laboratory (Dstl LX1000106989). April 2017.
S. Gibbs, P. Contreras, J. Dean, R. Isbell, A. Nicholson, M. McGlashan, N. Steward, and L. Walasek. Insider Threat Detection, phase II (TRL 6). The Defence Science and Technology Laboratory (iCAS:1000103866). Ministry of Defence. September 2016.
T. Watson, R. Isbell, A. Nicholson, P. Contreras, S. Gibbs, N. Dipsis, K. Scott, and L. Hadlington. “Automating Cyber Defence Responses”, phase I (TRL 3). Centre for Defence and Enterprise (CDE37609), The Defence Science and Technology Laboratory. September 2015.
J. Dean, S. Gibbs, P. Contreras, N. Dipsis, T. Watson, E. Mallows, L. Hadlington, K. Scott, and B. Hallaq. “Host-Based Insider Threat Detection”, (TRL 3). Centre for Defence and Enterprise (CDE34941), The Defence Science and Technology Laboratory. September 2014.
P. Contreras. “Insider Threat Detection Using Behavioural Indicators”. The Worshipful Company of Information Technologists. City of London. 16 September. 2015.
P. Contreras. “Analysing Big Data. Fast, Linear Time Hierarchical Clustering Using the Baire Metric”. Diego Portales University. 31 November 2012. Santiago, Chile.
P. Contreras. “Fast, Linear Time, m-Adic Hierarchical Clustering for Search and Retrieval using the Baire Metric”. Text retrieval group, Department of Computer Science and Engineering, Faculty of Applied Sciences, University of West Bohemia. 1 February 2012. Pilsen, Czech Republic.
P. Contreras and F. Murtagh. “Fast Hierarchical Clustering Algorithm”. British Classification Society Meeting and AGM. Royal Holloway, University of London. 20 November 2009. Egham, UK.
P. Contreras and F. Murtagh. “Fast Hierarchical Clustering From the Baire Distance”. Doctoral Consortium on Computer Science and Informatics. British Computer Society. 28 May 2009. London, UK.
P. Contreras, F. Murtagh, and J. Dean, “Fast Clustering Algorithm for Application in Science”. Taylor’s day, organised by Smith Institute for Industrial Mathematics and System Engineering. 24 October. 2008. Oxford, UK.
P. Contreras and F. Murtagh, “Fast Clusterwise m-Adic Regression: Application to Redshift Calibration”. 5th Astronomical Data Analysis Conference. 7–9 May 2008. Heraklion, Greece.
P. Contreras and F. Murtagh, “Evaluation of Hierarchies Based on the Longest Common Prefix or Baire Metric”. The North American Classification Society (CSNA). University of Illinois. 9 June 2007. Urbana-Champaign, USA.
F. Murtagh and P. Contreras. “Geometric and Topological Foundations of Big Data Analytics”. 2nd Workshop on the Theory of Big Data, UCL, 6–8 January 2016. London, UK.
P. Contreras and F. Murtagh. “Fast Hierarchical Clustering Algorithm for Redshift Calibration”. 6th Astronomical Data Analysis Conference, 3–7 May 2010. Monastir, Tunisia.
P. Contreras, F. Murtagh, and J. Dean. “Fast Clustering Algorithm for Application in Science”. Tayler’s Day, organised by Smith Institute for Industrial Mathematics and System Engineering, 30 November 2009. Oxford, UK.
I. Evans-Osses, A. Santos e Silva, J. Toscano, P. Contreras, and M. Ramirez. “A Combined in Silico and in Vitro Strategy to Analyze Hypothetical Proteins in Giardia Intestinalis”. XXIV Annual Meeting of the Brazilian Society for Protozoology. 27–29 October 2008. Águas de Lindóia. Brasil.
P. Contreras, F. Murtagh, and J. Dean. “Data Matching and Classification”. Alan Tayler’s Day, organised by Smith Institute for Industrial Mathematics and System Engineering. 26 November 2007. Oxford, UK