Publications and talks

Awards

1st Place Innovation Award on Data Science funded by the London Innovation Society at Data for Policy, 2016, in the University of Cambridge.

Best Student Presentation Award at Domestic Nuclear Detection Office (DNDO) Academic Research Initiative (ARI) Grantees Conference, 2015.

Papers

Maria De-Arteaga, Artur Dubrawski, Peter Huggins, “Canonical Autocorrelation Analysis”, Working paper.

Maria De-Arteaga, Artur Dubrawski, “Discovery of Complex Anomalous Patterns of Sexual Violence in El Salvador”, Data for Policy, 2016. [PDF]

Maria De­-Arteaga, Artur Dubrawski, Peter Huggins, “Canonical Autocorrelation Analysis for Radiation Threat Detection”.  Heinz First Paper, Heinz College / Data Analysis Project, Machine Learning Department, 2016. Carnegie Mellon University. [PDF]

William Herlands, Maria De-­Arteaga, Daniel Neill, and Artur Dubrawski, “Lass0: Sparse Non­Convex Regression by Local Search”, NIPS Workshop: Optimization for Machine Learning, 2015. [PDF, BibTeX]

Maria De­-Arteaga, Ivan Eggel, Charles Kahn and Henning Müller, “Analyzing Image Search Behaviour of Radiologists: Semantics and Prediction of Query Results” Journal of Digital Imaging, 2015. [PDF, BibTeX]

Maria De­-Arteaga, Ivan Eggel, Bao H. Do, Daniel Rubin, Charles E. Kahn Jr. and Henning Müller, “Comparing Image Search Behaviour in the ARRS GoldMiner Search Engine and a Clinical PACS/RIS” Journal of Biomedical Informatics, 2015. [PDF, BibTeX]

Alejandro Riveros, Maria De-­Arteaga, Fabio A. Gonzalez, Sergio Jimenez and Henning Müller, “MindLab­UNAL: Comparing Metamap and T­-mapper for Medical Concept Extraction in SemEval 2014 Task 7”, SemEval, 2014. [PDF, BibTeX]

Maria De-­Arteaga, Sergio Jimenez, Julia Baquero, George Dueñas and Sergio Mancera, “Author Profiling Using Corpus Statistics, Lexicons and Stylistic Features” 10th PAN Evaluation Lab on Uncovering Plagiarism, Authorship. and Social Misuse, CLEF, 2013. [PDF, BibTeX]

Maria De­-Arteaga, “Vector models in text mining and its applications to author profiling tasks” (in Spanish), Undergraduate thesis, 2013. [PDF]

Talks

Maria De-­Arteaga, Artur Dubrawski, Peter Huggins, “Leveraging Multidimensional Autocorrelations to Boost Sensitivity of Spectral Anomaly Detection”, DNDO Annual Academic Research Initiative Grantees Conference, 2015. Best Student Presentation Award.

Maria De­-Arteaga, George Dueñas and Sergio Mancera, “Author Profiling, an Application of Computational Linguistics”, Colombian Congress of Young Linguists, 2013.

Posters

Maria De-Arteaga, Artur Dubrawski, “Discovery of Complex Anomalous Patterns of Sexual Violence in El Salvador”, Data for Policy, 2016. 1st Place Innovation Award on Data Science.

Maria De­-Arteaga, Artur Dubrawski, Peter Huggins, “Canonical Autocorrelation Analysis for Radiation Threat Detection”, CRA­-W Grad Cohort Workshop, 2016.

William Herlands, Maria De-­Arteaga, Daniel Neill, and Artur Dubrawski, “Lass0: Sparse Non-­Convex Regression by Local Search”, NIPS Workshop: Optimization for Machine Learning, 2015.

Maria De­-Arteaga, Artur Dubrawski, Peter Huggins, “Canonical Autocorrelation Analysis for Radiation Threat Detection”, NIPS Workshop: Women in Machine Learning, 2015.

Maria De-­Arteaga, Sergio Jimenez, Julia Baquero, George Dueñas and Sergio Mancera, “Author Profiling Using Corpus Statistics, Lexicons and Stylistic Features” 10th PAN Evaluation Lab on Uncovering Plagiarism, Authorship. and Social Misuse, CLEF, 2013.