Institute of Electronics and Informatics Engineering of Aveiro
From IEETA
Overview
IEETA is a Computer Science and Engineering / Electronics and Electrical Engineering research unit with 34.4 full-time equivalent (FTE) members with PhD. It is organized in three Groups, two of them more application oriented (Biomedical Informatics and Technologies, and Intelligent Robotics and Systems), the other one of a more fundamental nature (Information Systems and Processing), mapping the major scientific areas of activity of its researchers. Empowered by its internal diversity and strong collaborative environment, IEETA has been able to provide important contributions in problems that require a high level of multidisciplinarity.
IEETA has a vast experience in joint projects with the industry, some of them resulting in the creation of spin-offs and start-ups, patents and trademarks, both national and international, and a number of products that have been licensed and are in use by the industry.
                                |
|
Some recent publications
- Marcello Chedid, Ana Caldeira, Helena Alvelos, Leonor Teixeira. Knowledge-sharing and collaborative behaviour: An empirical study on a Portuguese higher education institution. Journal of Information Science, p. in press, December 2019
- L.F.N.D.Carramate, A.L.M.Silva, C.D.R.Azevedo, S.De Francesco, Augusto Silva, J.F.C.A.Veloso. Multi-slice Energy Resolving CT system using a THCOBRA detector operating in NeCH4. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 947, December 2019
- Anabela Silva, Patrícia Simões, Rita Santos, Alexandra Queirós, Nelson Rocha, Mário Rodrigues. A Scale to Assess the Methodological Quality of Studies Assessing Usability of Electronic Health Products and Services: Delphi Study Followed by Validity and Reliability Testing. Journal of Medical Internet Research, vol. 21, no. 11, p. e14829, November 2019
- Diogo Pratas, Morteza Hosseini, Jorge Miguel Silva, Armando J. Pinho. A reference-free lossless compression algorithm for DNA sequences using a competitive prediction of two classes of weighted models. Entropy, vol. 21, p. 1074, November 2019 [IF 2017: 2.305 (Q2, 22/78)]
- Carlos S. Pereira, Raul Morais, Manuel J. C. S. Reis. Deep Learning Techniques for Grape Plant Species Identification in Natural Images. Sensors, vol. 19, no. 22, p. 22pp, November 2019 [IF 2017: 2.475 (Q2, 16/61)]
- Hamidreza Kasaei, Luís Seabra Lopes, Ana Maria Tomé. Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, November 2019
- Maria do Carmo Vilas-Boas, Ana Patrícia Oliveira Ferreira da Rocha, Hugo Choupina, Márcio Cardoso, José Maria Fernandes, Teresa Coelho, João Paulo Cunha. Validation of a Single RGB-D Camera for Gait Assessment of Polyneuropathy Patients. Sensors, vol. 19, no. 22, p. 4929, November 2019 [IF 2017: 2.475 (Q2, 16/61)]
- D. Chaló, S. Pedrosa, P. Amorim, A. Silva, P. Guedes, R. Correia, Sónia Gouveia, C. Sancho. Effect of hemodynamic changes in plasma propofol concentrations associated with knee-chest position in spinal surgery: a prospective study. Anesthesiology and Pain Medicine, October 2019
- Rui Antunes, Sérgio Matos. Extraction of chemical–protein interactions from the literature using neural networks and narrow instance representation. Database, vol. 2019, no. baz095, October 2019
- Ana Rita Valente, Andreia Hall, Helena Alvelos, M. Leahy, Luis M. T. Jesus. Reliability and Validity Evidence of the Assessment of Language Use in Social Contexts for Adults (ALUSCA). Logopedics Phoniatrics Vocology, vol. 44, no. 4, p. 166-177, October 2019 [IF 2017: 1.045 (Q4, 32/41)]
- André Zúquete, Hélder Gomes, João Amaral, Carlos Oliveira. Security-Oriented Architecture for Managing IoT Deployments. Symmetry, vol. 11, no. 10, October 2019
- Lucia Pombo, Margarida Marques, Luís Afonso, Paulo Dias, Joaquim Madeira. Evaluation of a Mobile Augmented Reality Game Application as an Outdoor Learning Tool. International Journal of Mobile and Blended Learning, vol. 11, no. 4, p. 59-79, September 2019
This Research Unit is funded by National Funds through the FCT - Foundation for Science and Technology, in the context of the project UID/CEC/00127/2019.
