Data Science

NOVA Math > Thematic Lines > Data Science

About

Nowadays, the volume of big data is growing enormously, challenging scientists to provide new ways of organising and analyse it, in order to be able to extract hidden knowledge in the data, and build new automated decision and intelligent reasoning systems.

Solutions to these challenges require expertise from multidisciplinary areas, including statistics, optimization, and computer science, for the efficient processing of large volumes of data, aiming to support decision making including, classification tasks, forecasting, optimization, and visualization.

The Thematic Line Data Science results from an effort to promote interdisciplinary research between NOVA Math and other R&D units and is taking its first steps towards what we expect to be an area of great social impact.

Marta Isabel Belchior Lopes

Data Science Coordinator

Publications

Chisquared and related inducing pivot variables: an application to orthogonal mixed models
2019, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, Ferreira,D;Ferreira,SS;Nunes,C;Fonseca,M;Mexia,JT
Assessing the Location of Search and Rescue Stations on the Portuguese Coast
2020, DEVELOPMENTS AND ADVANCES IN DEFENSE AND SECURITY, Correia,A;Moura,R;Fonseca,M
Comparing sleep quality in institutionalized and non-institutionalized elderly individuals
2020, AGING & MENTAL HEALTH, da Silva,RM;Afonso,P;Fonseca,M;Teodoro,T
Identification of Common Gene Signatures in Microarray and RNA-Sequencing Data Using Network-Based Regularization
2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Diegues,I;Vinga,S;Lopes,MB
Network-Based Variable Selection for Survival Outcomes in Oncological Data
2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Carrasquinha,E;Veríssimo,A;Lopes,MB;Vinga,S
Patterns of Sexual Risk Behavior, HIV Infection, and Use of Health Services Among Sub-Saharan African Migrants in Portugal
2020, JOURNAL OF SEX RESEARCH, Dias,S;Gama,A;Abrantes,P;Gomes,I;Fonseca,M;Reigado,V;Simoes,D;Carreiras,E;Mora,C;Ferreira,AP;Akpogheneta,O;Martins,MO
Robust estimation of heritability and predictive accuracy in plant breeding: evaluation using simulation and empirical data
2020, BMC GENOMICS, Lourenco,VM;Ogutu,JO;Piepho,HP
TCox: Correlation-Based Regularization Applied to Colorectal Cancer Survival Data
2020, BIOMEDICINES, Peixoto,C;Lopes,MB;Martins,M;Costa,L;Vinga,S
A centrality notion for graphs based on Tukey depth
2021, APPLIED MATHEMATICS AND COMPUTATION, Cerdeira,JO;Silva,PC
A Review of Recent Machine Learning Advances for Forecasting Harmful Algal Blooms and Shellfish Contamination
2021, JOURNAL OF MARINE SCIENCE AND ENGINEERING, Cruz,RC;Costa,PR;Vinga,S;Krippahl,L;Lopes,MB

Projects

MONET: Multi-omic networks in gliomas
FCT - Fundação para a Ciência e a Tecnologia, I.P., Marta B. Lopes, Jorge Orestes Cerdeira, Marcos Raydan
AI-4-MUFF: Artificial intelligence on the management of the degree of readiness in urban firefighting
FCT - Fundação para a Ciência e a Tecnologia, I.P., Isabel Gomes, Jorge Orestes Cerdeira, Filipe Marques,...
MATISSE: A machine learning based forecasting system for shellfish safety
FCT - Fundação para a Ciência e a Tecnologia, I.P., Marta B. Lopes