Explaining Image Misclassification in Deep Learning via Adversarial Examples

Autor: Haffar R, Jebreel NM, Domingo-Ferrer J, Sánchez D

Publikováno v: Lecture Notes In Computer Science
Lecture Notes In Computer Science. 12898 LNAI 323-334

With the increasing use of convolutional neural networks (CNNs) for computer vision and other artificial intelligence tasks, the need arises to interpret their predictions. In this work, we tackle the problem of explaining CNN misclassification of im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3351::70fc12bde4017ee9b186bc8f050c0235
http://hdl.handle.net/20.500.11797/imarina9229338

Pursuing optimal prediction of discharge time in ICUS with machine learning methods

Autor: Cuadrado D, Riaño D, Gómez J, Bodí M, Sirgo G, Esteban F, García R, Rodríguez A

Publikováno v: Lecture Notes In Computer Science
Lecture Notes In Computer Science. 11526 LNAI 150-154
Repositori Institucional de la Universitat Rovira i Virgili
Consejo Superior de Investigaciones Científicas (CSIC)
Lecture Notes In Computer Science. 11526 LNAI150-154
Universitat Rovira i virgili (URV)

© Springer Nature Switzerland AG 2019. In hospital intensive care units (ICU), patients are under continuous evaluation. One of the purposes of this evaluation is to determine the expected number of days to discharge. This value is important to mana

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::25be81362ae91c56619cdb6be0a7472f
http://hdl.handle.net/20.500.11797/imarina5724907

On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks

Autor: Saffari N, Rashwan HA, Herrera B, Romani S, Arenas M, Puig D

Publikováno v: Frontiers In Artificial Intelligence And Applications
Frontiers In Artificial Intelligence And Applications. 308 386-393

© 2018 The authors and IOS Press. Breast density is a crucial factor to follow-up the relapse of breast cancer in mammograms and the risk of local recurrence after conservative surgery and/or radiotherapy. Accurate breast density estimation with vis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3351::66a8c77e26402249cf2da4a0dec03bbc
http://hdl.handle.net/20.500.11797/imarina4089622

Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network

Autor: Singh VK, Rashwan HA, Akram F, Pandey N, Sarker MMK, Saleh A, Abdulwahab S, Maaroof N, Barrena JT, Romani S, Puig D

Publikováno v: Frontiers In Artificial Intelligence And Applications
Frontiers In Artificial Intelligence And Applications. 308 373-380
Repositori Institucional de la Universitat Rovira i Virgili
Universitat Rovira i virgili (URV)

© 2018 The authors and IOS Press. This paper proposed a retinal image segmentation method based on conditional Generative Adversarial Network (cGAN) to segment optic disc. The proposed model consists of two successive networks: generator and discrim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::a28c26c32500391ccaaf87581b76f719
http://hdl.handle.net/20.500.11797/imarina4089625

Brain MR Image Segmentation Using Multiphase Active Contours Based on Local and Global Fitted Images

Autor: Akram F, Singh VK, Sarker MMK, Garcia MA, Puig D

Publikováno v: Frontiers In Artificial Intelligence And Applications
Frontiers In Artificial Intelligence And Applications. 308 325-334

© 2018 The authors and IOS Press. The study of white matter (WM), grey matter (GM) and cerebrospinal fluid (CSF) regions in the brain magnetic resonance (MR) images can be useful for determining different brain disorders, assisting brain surgery, po

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3351::7cc00c2dfe9a9f8ab0c9da43ef1580e5
http://hdl.handle.net/20.500.11797/imarina4089623