Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Guido Bologna"'
Autor:
Guido Bologna
Publikováno v:
Information, Vol 14, Iss 2, p 89 (2023)
The explainability of connectionist models is nowadays an ongoing research issue. Before the advent of deep learning, propositional rules were generated from Multi Layer Perceptrons (MLPs) to explain how they classify data. This type of explanation t
Externí odkaz:
https://doaj.org/article/f7d575eaf3334a22bc6393b35601cc0d
Autor:
Guido Bologna
Publikováno v:
Algorithms, Vol 14, Iss 12, p 339 (2021)
In machine learning, ensembles of models based on Multi-Layer Perceptrons (MLPs) or decision trees are considered successful models. However, explaining their responses is a complex problem that requires the creation of new methods of interpretation.
Externí odkaz:
https://doaj.org/article/98d7574744a042afbe0e7938d582cb20
A Comparison Study on Rule Extraction from Neural Network Ensembles, Boosted Shallow Trees, and SVMs
Autor:
Guido Bologna, Yoichi Hayashi
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2018 (2018)
One way to make the knowledge stored in an artificial neural network more intelligible is to extract symbolic rules. However, producing rules from Multilayer Perceptrons (MLPs) is an NP-hard problem. Many techniques have been introduced to generate r
Externí odkaz:
https://doaj.org/article/ac1b23340c484821b2bbb04903677c20
Autor:
Guido Bologna
Publikováno v:
Applied Sciences, Vol 9, Iss 12, p 2411 (2019)
Classification responses provided by Multi Layer Perceptrons (MLPs) can be explained by means of propositional rules. So far, many rule extraction techniques have been proposed for shallow MLPs, but not for Convolutional Neural Networks (CNNs). To fi
Externí odkaz:
https://doaj.org/article/29641fe2066e43dbb1e3a9b147f163ae
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2007 (2008)
This paper reviews the state of the art in the field of assistive devices for sight-handicapped people. It concentrates in particular on systems that use image and video processing for converting visual data into an alternate rendering modality that
Externí odkaz:
https://doaj.org/article/fdab2886fb6c453d82237829f5634799
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2007 (2007)
The goal of the See ColOr project is to achieve a noninvasive mobility aid for blind users that will use the auditory pathway to represent in real-time frontal image scenes. We present and discuss here two image processing methods that were experimen
Externí odkaz:
https://doaj.org/article/3b577c3b1d174f0e8b7bab69889ca2af
Autor:
Guido Bologna
Publikováno v:
Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence ISBN: 9783031065262
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23011d32cb92cbad3a275afb49489190
https://doi.org/10.1007/978-3-031-06527-9_31
https://doi.org/10.1007/978-3-031-06527-9_31
Autor:
Guido Bologna
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030840594
CD-MAKE
CD-MAKE
A natural method aiming at explaining the answers of a black-box model is by means of propositional rules. Nevertheless, rule extraction from ensembles of Machine Learning models was rarely achieved. Moreover, experiments in this context have rarely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a9ee13aab037e691d5ae628dccfa0d1
https://doi.org/10.1007/978-3-030-84060-0_22
https://doi.org/10.1007/978-3-030-84060-0_22
Autor:
Silvio Fossati, Guido Bologna
Publikováno v:
Electronics
Volume 9
Issue 6
Electronics, Vol 9, Iss 990, p 990 (2020)
Volume 9
Issue 6
Electronics, Vol 9, Iss 990, p 990 (2020)
The explanation of the decisions provided by a model are crucial in a domain such as medical diagnosis. With the advent of deep learning, it is very important to explain why a classification is reached by a model. This work tackles the transparency p
Autor:
Guido Bologna, Yoichi Hayashi
Publikováno v:
Journal of Artificial Intelligence and Soft Computing Research. 7:265-286
Rule extraction from neural networks is a fervent research topic. In the last 20 years many authors presented a number of techniques showing how to extract symbolic rules from Multi Layer Perceptrons (MLPs). Nevertheless, very few were related to ens