Inês Domingues

Inês Domingues graduated in Applied Mathematics in the School of Sciences at the University of Porto in 2004, completed the Master in Electrical and Telecommunications Engineering at Aveiro University in 2008 and finished the PhD in Electrical and Computer Engineering in the School of Engineering at the University of Porto in 2015 (Cum Laude). She is currently a post doctoral researcher in the ESTIMA project (IPO Porto) and an Invited Assistant Professor at DEIS-ISEC.

Other Websites: LinkedIn profile, Google Scholar Citations; Research Gate profile; Scopus profile; ResearcherId; ORCID 0000-0002-2334-7280; Publons. Identificador na plataforma CIÊNCIA ID 971F-F25B-1E79

Highlights:

News:

  • [2019, Mar] António Faneca finished his BSc entitled "Enso Life - Gestão de Presenças" at Instituto Superior de Engenharia de Coimbra (ISEC)
  • [2019, Mar] Maurizio Crocci finished his BSc entitled "KFileTrack - GPS indoor" at Instituto Superior de Engenharia de Coimbra (ISEC)
  • [2019, Mar] Dora Gonçalves finished her BSc entitled "Otimização dos modelos de dados de suporte aos Dashboards Operacionais da Infraestrutura Inovgrid" at Instituto Superior de Engenharia de Coimbra (ISEC)
  • [2018, Nov] Francisco Marques had his paper "An Iterative Oversampling Approach for Ordinal Classification " accepted at the ACM/SIGAPP Symposium On Applied Computing (SAC)
  • [2018, Jul] Gisèle Pereira had her paper "Registration of CT with PET: a comparison of intensity-based approaches" accepted at the International Workshop on Combinatorial Image Analysis (IWCIA)
  • [2018, Jul] Gisèle Pereira finished her MSc entitled "Deep Learning techniques for the evaluation of response to treatment in Hodgkin Lymphoma" at Coimbra University
  • [2018, May] We have our paper "BI-RADS classification of breast cancer: a new pre-processing pipeline for deep models training" accepted at IEEE International Conference on Image Processing (ICIP)
  • [2018, Mar] We have our paper "Evaluation of oversampling data balancing techniques in the context of ordinal classification" accepted at International Joint Conference on Neural Networks (IJCNN)
  • [2018, Jan] José P. Amorim had his paper "Interpreting Deep Learning Models for Ordinal Problems" accepted at European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)

Some of the most relevant publications include: