ABLe: Advice-Based Learning for Health Care

Publications

International Journals:

  1. Ferreira, P., Fonseca, N.A., Dutra, I., Woods, R., Burnside, E.: Predicting Malignancy from Mammography Findings and Image-Guided Core Biopsies. In: Int. Journal of Data Mining and Bioinformatics, 2015; [pdf]

  2. Martínez-Angeles, C. A., Wu, H., Dutra, I., Santos Costa, V., Buenabad-Chávez, J.: Relational Learning with GPUs: Accelerating Rule Coverage. In: Int. Journal of Parallel Programming. [pdf]


Book Chapter:

  1. Velikova, M., Dutra, I., Burnside, E.: Automated Diagnosis of Breast Cancer on Medical Images. In: Biomedical Foundations of Knowledge Representation. Springer. (submitted).


International Conferences:

  1. Salvini, R., Dias, R.S., Lafer, B., Dutra, I.: A Multi-Relational Model for Depression Relapse in Patients with Bipolar Disorder. In Proc. of 15th World Congress on Health and Biomedical Informatics (MEDINFO 2015), August 2015;

    1. Kuusisto, F., Dutra, I., Elezaby, M., Mendonça, E., Shavlik, J., Burnside, E.: Leveraging Expert Knowledge to Improve Machine-Learned Decision Support Systems. In Proc. of 2015 Joint Summits on Translational Science (AMIA 2015), March 2015; [pdf]

    2. Almeida, E., Ferreira, P., Vinhoza, T.T.V., Dutra, I., Wu, Y., Burnside, E.: ExpertBayes: Automatically Refining Manually Built Bayesian Networks. In Proc. of 13th International Conference on Machine Learning and Applications (ICMLA 2014), December 2014; [pdf]

    3. Ferreira, P., Vinhoza, T.T.V., Castro, A., Mourato, F., Tavares, T., Mattos, S., Dutra, I., Coimbra, M.: Knowledge on Heart Condition of Children based on Demographic and Physiological Features. In Proc. of 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2013), June 2013; [pdf]

    4. Kuusisto, F., Dutra, I., Nassif, H., Wu, Y., Klein, M. et al.: Using Machine Learning to Identify Benign Cases with Non-Definitive Biopsy. In Proc. of 13th IEEE International Conference on e-Health Networking, Application and Services (HEALTHCOM 2013), October 2013; [pdf]

    5. Martínez-Angeles, C. A., Dutra, I., Costa, V. S., Buenabad-Chavez, J.: Relational Learning with Datalog and GPUs: Accelerating Rule Coverage. In Proc. of 7th International Symposium on High-level Parallel Programming and Applications (HLPP 2014), July 2014;

    6. Martínez-Angeles, C. A., Dutra, I., Costa, V. S., Buenabad-Chavez, J.: A Datalog Engine for GPUs. In Proc. of 22nd International Workshop on Functional and (Constraint) Logic Programming (WFLP 2013), September 2013. [pdf]


    Domestic Conferences:

    1. Ferreira, P., Vinhoza, T.T.V., Castro, A., Mourato, F., Tavares, T., Mattos, S., Dutra, I., Coimbra, M.: Knowledge on Heart Condition of Children based on Demographic and Physiological Features. In 19th Portuguese Conference on Pattern Recognition (RecPad 2013), November 2013. [pdf]


    Thesis:

    1. MSc
    2. Analysis of Breast Cancer Data from Two Geographically Distinct Populations: USA and Portugal by Liliana Dores (concluded)
    4. Multiple Kernel Learning for Breast Cancer Classification by Gustavo Augusto (concluded)
    7. PhD
    8. Joana Côrte-Real (on-going)
    9. Pedro Ferreira (on-going)

Keywords:

Data Mining

Machine Learning

Inductive Logic Programming

Probabilistic Graphical Models




Links of Interest:

ABC3
MAP Breast
Mama Help
Laço Association