Alessia Angeli, Massimo Ferri, Eleonora Monti, Ivan Tomba. Shortened Persistent Homology for a Biomedical Retrieval System with Relevance Feedback. In Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar R. Weippl, editors, Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27-30, 2018, Proceedings. Volume 11015 of Lecture Notes in Computer Science, pages 282-292, Springer, 2018. [doi]
@inproceedings{AngeliFMT18, title = {Shortened Persistent Homology for a Biomedical Retrieval System with Relevance Feedback}, author = {Alessia Angeli and Massimo Ferri and Eleonora Monti and Ivan Tomba}, year = {2018}, doi = {10.1007/978-3-319-99740-7_20}, url = {https://doi.org/10.1007/978-3-319-99740-7_20}, researchr = {https://researchr.org/publication/AngeliFMT18}, cites = {0}, citedby = {0}, pages = {282-292}, booktitle = {Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27-30, 2018, Proceedings}, editor = {Andreas Holzinger and Peter Kieseberg and A Min Tjoa and Edgar R. Weippl}, volume = {11015}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-319-99740-7}, }