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
TCox: Correlation-Based Regularization Applied to Colorectal Cancer Survival Data
2020, BIOMEDICINES, Peixoto,C;Lopes,MB;Martins,M;Costa,L;Vinga,S
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
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
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
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
Comparing sleep quality in institutionalized and non-institutionalized elderly individuals
2020, AGING & MENTAL HEALTH, da Silva,RM;Afonso,P;Fonseca,M;Teodoro,T
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
The Role of Network Science in Glioblastoma
2021, CANCERS, Lopes,MB;Martins,EP;Vinga,S;Costa,BM
Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions
2021, FRONTIERS IN MICROBIOLOGY, Moreno Indias,I;Lahti,L;Nedyalkova,M;Elbere,I;Roshchupkin,G;Adilovic,M;Aydemir,O;Bakir Gungor,B;Pau,ECD;D'Elia,D;Desai,MS;Falquet,L;Gundogdu,A;Hron,K;Klammsteiner,T;Lopes,MB;Marcos Zambrano,LJ;Marques,C;Mason,M;May,P;Pasic,L;Pio,G;Pongor,S;Promponas,VJ;Przymus,P;Saez Rodriguez,J;Sampri,A;Shigdel,R;Stres,B;Suharoschi,R;Truu,J;Truica,CO;Vilne,B;Vlachakis,D;Yilmaz,E;Zeller,G;Zomer,AL;Gomez...

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