S. Biasotti, A. Cerri, P. Frosini, D. Giorgi, and C. Landi, Multidimensional Size Functions for Shape Comparison, Journal of Mathematical Imaging and Vision, vol.70, issue.2, pp.161-179, 2008.
DOI : 10.1007/s10851-008-0096-z

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.28-30, 2000.

F. Cagliari, D. Fabio, B. Ferri, and M. , One-dimensional reduction of multidimensional persistent homology, Proceedings of the American Mathematical Society, vol.138, issue.08, pp.3003-3017, 2010.
DOI : 10.1090/S0002-9939-10-10312-8
URL : http://arxiv.org/abs/math/0702713

A. Cerri, M. Ferri, P. Frosini, and D. Giorgi, KEYPICS: FREE???HAND DRAWN ICONIC KEYWORDS, International Journal of Shape Modeling, vol.2, issue.02, pp.125-137, 2007.
DOI : 10.1016/S0167-8655(00)00118-5

A. Cerri, M. Ferri, and D. Giorgi, A Complete Keypics Experiment with Size Functions, Image and Video Retrieval, pp.357-366, 2005.
DOI : 10.1007/11526346_39
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.4946

O. Egozi, S. Markovitch, and E. Gabrilovich, Concept-Based Information Retrieval Using Explicit Semantic Analysis, ACM Transactions on Information Systems, vol.29, issue.2, pp.1-8, 2011.
DOI : 10.1145/1961209.1961211
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.9432

P. Frosini, Measuring shapes by size functions In: Intelligent Robots and Computer Vision X: Algorithms and Techniques, pp.122-133, 1991.
DOI : 10.1117/12.57059

P. Frosini and C. Landi, Size theory as a topological tool for computer vision, Pattern Recognition and Image Analysis, vol.9, issue.4, pp.596-603, 1999.

P. Frosini and C. Landi, Persistent betti numbers for a noise tolerant shape-based approach to image retrieval. Pattern Recognition Letters pp, pp.863-872, 2012.
DOI : 10.1007/978-3-642-23672-3_36

D. Giorgi, P. Frosini, M. Spagnuolo, and B. Falcidieno, 3D relevance feedback via multilevel relevance judgements, The Visual Computer, vol.5, issue.8, pp.1321-1338, 2010.
DOI : 10.1007/s00371-010-0524-0

H. M. Haav and T. L. Lubi, A survey of concept-based information retrieval tools on the web, Proceedings of the 5th East-European Conference ADBIS, pp.29-41, 2001.

A. Holzinger, On knowledge discovery and interactive intelligent visualization of biomedical data, Proceedings of the Int. Conf. on Data Technologies and Applications DATA 2012, pp.5-16, 2012.

F. Nake and S. Grabowski, Human?computer interaction viewed as pseudocommunication, pp.441-447, 2001.
DOI : 10.1016/s0950-7051(01)00140-x
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.469.3036

D. A. Norman, Turn signals are the facial expressions of automobiles, Basic Books, 1992.

S. Nowak, A. Hanbury, and T. Deselaers, Object and Concept Recognition for Image Retrieval, pp.199-219, 2010.
DOI : 10.1007/978-3-642-15181-1_11

M. Obeid, B. Jedynak, and M. Daoudi, Image indexing & retrieval using intermediate features, Proceedings of the ninth ACM international conference on Multimedia , MULTIMEDIA '01, pp.531-533, 2001.
DOI : 10.1145/500141.500233

E. Reiterer, H. Dreher, and C. Gütl, Automatic concept retrieval with Rubrico, pp.3-14, 2010.

A. W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, Content-based image retrieval at the end of the early years. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.22, issue.12, pp.1349-1380, 2000.

M. Ziefle, S. Himmel, and A. Holzinger, How usage context shapes evaluation and adoption criteria in different technologies, AHFE 2012, Proceeding of Int. Conf. on Applied Human Factors and Ergonomics, pp.2812-2821, 2012.