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About

About

I am a researcher at CPES (Power and Energy Systems), which is a R&D Centre of the INESC-TEC.
My research focus are Artificial Intelligence, modelling and statistical analysis, renewable production, distributed energy. 

Interest
Topics
Details

Details

  • Name

    Conceição Nunes Rocha
  • Cluster

    Power and Energy
  • Role

    Researcher
  • Since

    31st January 2014
001
Publications

2018

ECIR 2018: Text2Story Workshop - Narrative Extraction from Texts

Authors
Jorge, A; Campos, R; Jatowt, A; Nunes, S; Rocha, C; Cordeiro, JP; Pasquali, A; Mangaravite, V;

Publication
SIGIR Forum

Abstract

2018

A Fokker-Planck approach to joint state-parameter estimation

Authors
Lemos, JM; Costa, BA; Rocha, C;

Publication
IFAC PAPERSONLINE

Abstract
The problem of joint estimation of parameters and state of continuous time systems using discrete time observations is addressed. The plant parameters are assumed to be modeled by a Wiener process. The a priori probability density function (pdf) of an extended state that comprises the plant state variables and the parameters is propagated in time using an approximate solution of the Fokker-Planck equation that relies on Trotter's formula for semigroup decomposition. The a posteriori (i. e., given the observations) pdf is then computed at the observation instants using Bayes law.

2018

Profiles identification on hierarchical tree structure data sets

Authors
Rocha, C; Brito, PQ;

Publication
JOURNAL OF APPLIED STATISTICS

Abstract
In this work we study a way to explore and extract more information from data sets with a hierarchical tree structure. We propose that any statistical study on this type of data should be made by group, after clustering. In this sense, the most adequate approach is to use the Mahalanobis-Wasserstein distance as a measure of similarity between the cases, to carry out clustering or unsupervised classification. This methodology allows for the clustering of cases, as well as the identification of their profiles, based on the distribution of all the variables that characterises each subject associated with each case. An application to a set of teenagers' interviews regarding their habits of communication is described. The interviewees answered several questions about the kind of contacts they had on their phone, Facebook, email or messenger as well as the frequency of communication between them. The results indicate that the methodology is adequate to cluster this kind of data sets, since it allows us to identify and characterise different profiles from the data. We compare the results obtained with this methodology with the ones obtained using the entire database, and we conclude that they may lead to different findings.

2017

Individualizing propofol dosage: a multivariate linear model approach (vol 28, pg 525, 2014)

Authors
Rocha, C; Mendonca, T; Silva, ME; Gambus, P;

Publication
JOURNAL OF CLINICAL MONITORING AND COMPUTING

Abstract

2016

The Extraction from News Stories a Causal Topic Centred Bayesian Graph for Sugarcane

Authors
Drury, B; Rocha, C; Moura, MF; Lopes, AdA;

Publication
Proceedings of the 20th International Database Engineering & Applications Symposium, IDEAS 2016, Montreal, QC, Canada, July 11-13, 2016

Abstract
Sugarcane is an important product to the Brazilian economy because it is the primary ingredient of ethanol which is used as a gasoline substitute. Sugarcane is aflected by many factors which can be modelled in a Bayesian Graph. This paper describes a technique to build a Causal Bayesian Network from information in news stories. The technique: extracts causal relations from news stories, converts them into an event graph, removes irrelevant information, solves structure problems, and clusters the event graph by topic distribution. Finally, the paper describes a method for generating inferences from the graph based upon evidence in agricultural news stories. The graph is evaluated through a manual inspection and with a comparison with the EMBRAPA sugarcane taxonomy. © ACM 2016.

Supervised
thesis

2016

Clustering de relacionamentos entre entidades nomeadas em textos com base no contexto

Author
Nelson Alves Morais

Institution
UP-FCUP