A. Angeli, M. Ferri, and I. Tomba, Symmetric functions for fast image retrieval with persistent homology, 2018.

A. Brucale, F. Cesari, M. Amico, M. Ferri, P. Frosini et al., Image retrieval through abstract shape indication, Proceedings of the IAPR Workshop MVA, pp.367-370, 2000.

B. , D. Fabio, and M. Ferri, Comparing persistence diagrams through complex vectors, International Conference on Image Analysis and Processing, pp.294-305, 2015.

H. Edelsbrunner and J. Harer, Persistent homology-a survey, Surveys on discrete and computational geometry, vol.453, pp.257-282, 2008.

H. Edelsbrunner and J. Harer, Computational Topology: An Introduction, 2009.

A. Esteva, B. Kuprel, R. A. Novoa, J. Ko, S. M. Swetter et al., Dermatologist-level classification of skin cancer with deep neural networks, Nature, vol.542, issue.7639, p.115, 2017.

M. Ferri, Graphic-based concept retrieval, International Conference on Availability, Reliability, and Security, pp.460-468, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01506774

M. Ferri, Persistent Topology for Natural Data Analysis -A Survey, pp.117-133, 2017.

M. Ferri and C. Landi, Representing size functions by complex polynomials, Proc. Math. Met. in Pattern Recognition, vol.9, pp.16-19, 1999.

M. Ferri, I. Tomba, A. Visotti, and I. Stanganelli, A feasibility study for a persistent homology-based k-nearest neighbor search algorithm in melanoma detection, Journal of Mathematical Imaging and Vision, vol.57, issue.3, pp.324-339, 2017.

N. Ghosh, S. Agrawal, and M. Motwani, A survey of feature extraction for contentbased image retrieval system, Proceedings of International Conference on Recent Advancement on Computer and Communication, pp.305-313, 2018.

D. Giorgi, P. Frosini, M. Spagnuolo, and B. Falcidieno, 3D relevance feedback via multilevel relevance judgements, The Visual Computer, vol.26, issue.10, pp.1321-1338, 2010.

A. Hatcher, Algebraic topology, vol.606, 2002.

C. Hofer, R. Kwitt, M. Niethammer, and A. Uhl, Deep learning with topological signatures, Advances in Neural Information Processing Systems, pp.1633-1643, 2017.

A. Holzinger, C. Biemann, C. S. Pattichis, and D. B. Kell, What do we need to build explainable ai systems for the medical domain, 2017.

S. Lang, Undergraduate algebra, 2005.

S. Magi, L. Mazzoni, E. Monti, I. Stanganelli, I. Tomba et al., Relevance feedback in a dermatology application, 2018.

T. Mendonça, P. M. Ferreira, J. S. Marques, A. R. Marcal, and J. Rozeira, Ph 2-a dermoscopic image database for research and benchmarking, 35th Annual International Conference of the IEEE, pp.5437-5440, 2013.

M. Zeppelzauer, B. Zieli´nskizieli´nski, M. Juda, and M. Seidl, A study on topological descriptors for the analysis of 3d surface texture. Computer Vision and Image Understanding, 2017.