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Details

  • Name

    Elsa Ferreira Gomes
  • Cluster

    Computer Science
  • Role

    Affiliated Researcher
  • Since

    01st November 2016
Publications

2018

Studying Programming Students Motivation using Association Rules

Authors
Tavares, PC; Gomes, EF; Henriques, PR;

Publication
Proceedings of the 10th International Conference on Computer Supported Education

Abstract

2017

A Computer Platform to Increase Motivation in Programming Students - PEP

Authors
Tavares, PC; Henriques, PR; Gomes, EF;

Publication
CSEDU 2017 - Proceedings of the 9th International Conference on Computer Supported Education, Volume 1, Porto, Portugal, April 21-23, 2017.

Abstract

2016

Automatic Classification of Anuran Sounds Using Convolutional Neural Networks

Authors
Colonna, J; Peet, T; Ferreira, CA; Jorge, AM; Gomes, EF; Gama, J;

Publication
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, C3S2E '16, Porto, Portugal, July 20-22, 2016

Abstract
Anurans (frogs or toads) are closely related to the ecosystem and they are commonly used by biologists as early indicators of ecological stress. Automatic classification of anurans, by processing their calls, helps biologists analyze the activity of anurans on larger scale. Wireless Sensor Networks (WSNs) can be used for gathering data automatically over a large area. WSNs usually set restrictions on computing and transmission power for extending the network's lifetime. Deep Learning algorithms have gathered a lot of popularity in recent years, especially in the field of image recognition. Being an eager learner, a trained Deep Learning model does not need a lot of computing power and could be used in hardware with limited resources. This paper investigates the possibility of using Convolutional Neural Networks with Mel-Frequency Cepstral Coefficients (MFCCs) as input for the task of classifying anuran sounds. © 2016 ACM.

2016

Using Smartphones to Classify Urban Sounds

Authors
Gomes, EF; Batista, F; Jorge, AM;

Publication
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, C3S2E '16, Porto, Portugal, July 20-22, 2016

Abstract
The aim of this work is to develop an application for Android able to classifying urban sounds in a real life context. It also enables the collection and classification of new sounds. To train our classifier we use the UrbanSound8K data set available online. We have used a hybrid approach to obtain features, by combining SAX-based multiresolution motif discovery with Mel-Frequency Cepstral Coefficients (MFCC). We also describe different configurations of motif discovery for defining attributes and compare the use of Random Forest and SVM algorithms on this kind of data. Copyright 2016 ACM.

2016

Computer-supported Techniques to Increase Students Engagement in Programming

Authors
Tavares, PC; Henriques, PR; Gomes, EF;

Publication
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED EDUCATION, VOL 2 (CSEDU)

Abstract
One of the main reasons that justify the student's failure in (introductory) programming courses is the lack of motivation that impacts on the knowledge acquisition process, affecting learning results. As soon as students face the difficulties concerning the development of algorithms or the coding in a programming language, they give up and do not try harder to solve other problems; they think it is a demanding activity and feel frustrated. In this paper we describe in detail an experiment conducted to verify the effectiveness, in terms of the increase in motivation and in knowledge acquisition, of combining program Animation tools with the immediate feedback provided by Automatic Evaluations Systems.

Supervised
thesis

2017

Deteção de convulsões epiléticas em eletroencefalogramas usando deep learning

Author
JOSÉ MANUEL SOARES CAMPOS FERREIRA DA SILVA

Institution
IPP-ISEP

2016

O Impacto da Animação e Visualização no Ensino da Programação

Author
Paula Correia Tavares

Institution
UM

2016

Deteção de convulsões epiléticas a partir de eletroencefalogramas

Author
HÉLDER JOSÉ PEDROSA DE ABREU MARTINS

Institution
IPP-ISEP

2016

Plataforma para recolha e identificação automática de espécies de pássaros utilizando registos áudio

Author
DAYLSON DE CARVALHO VERA CRUZ

Institution
IPP-ISEP