The bibtex file of the reference methods can be downloaded from here.

Author	Year	Title	Journal	Volume	Number	Pages
Universiv, O. S., Science, C., & Francisco, S. S.	1997	Solving the multiple instance problem with axis-parallel rectangles	Artificial intelligence	89	1	31-71
Wang, J., & Edu, J. U.	2000	Solving the Multiple-Instance Problem : A Lazy Learning Approach	In Proc. 17th International Conf. on Machine Learning			1119-1125
Chen, Y., Bi, J., Wang, J. Z., & Member, S.	2006	MILES : Multiple-Instance Learning via Embedded Instance Selection		28	12	1–17
Zhou, Z.-H., & Zhang, M.-L.	2007	Solving multi-instance problems with classifier ensemble based on constructive clustering	Knowledge and Information Systems	11	2	155–170
Cheplygina, V., Tax, D. M. J., & Loog, M.	2015	Multiple instance learning with bag dissimilarities	Pattern Recognition	48	1	264–275
Carbonneau, M., Granger, E., Raymond, A. J., & Gagnon, G.	2016	Robust multiple-instance learning ensembles using random subspace instance selection	Pattern Recognition	58		83–99
Wei, X., Wu, J., & Zhou, Z.	2017	Scalable Algorithms for Multi-Instance Learning	IEEE transactions on neural networks and learning systems	28	4	975–987
Kucukasci, E. S. & Baydogan, M. G.	2018	Bag Encoding Strategies in Multiple Instance Learning Problems	Information Sciences
Kucukasci, E. S., Baydogan, M. G. & Taskin, Z. C.		A Linear Programming Approach to Multiple Instance Learning
Kucukasci, E. S., Baydogan, M. G. & Taskin, Z. C.		Multiple Instance Classification via Quadratic Programming