This repository implements the TensMIL and TesnMIL2 algorithms of the fowlling publications

TensMIL:

T. Papastergiou, E. I. Zacharaki and V. Megalooikonomou, (2018). Tensor Decomposition for Multiple-Instance Classification of High-Order Medical Data. Complexity, 2018, 1-13, doi: doi.org/10.1155/2018/8651930

TensMIL2:

T. Papastergiou, E. I. Zacharaki and V. Megalooikonomou, "TensMIL2: Improved Multiple Instance Classification Through Tensor Decomposition and Instance Selection," 2019 27th European Signal Processing Conference (EUSIPCO), A Coruna, Spain, 2019, pp. 1-5, doi: 10.23919/EUSIPCO.2019.8902500

In order to cite the code site the above publications.

The main function f_bayesParameterLearningFS.m calculates the best hyperparameters and outputs metrics of the test evaluation of the model. For making inferences use the f_regr_subClass_val_linear_v3_inference function.