Always private
DuckDuckGo never tracks your searches.
Learn More
You can hide this reminder in Search Settings
All regions
Argentina
Australia
Austria
Belgium (fr)
Belgium (nl)
Brazil
Bulgaria
Canada (en)
Canada (fr)
Catalonia
Chile
China
Colombia
Croatia
Czech Republic
Denmark
Estonia
Finland
France
Germany
Greece
Hong Kong
Hungary
Iceland
India (en)
Indonesia (en)
Ireland
Israel (en)
Italy
Japan
Korea
Latvia
Lithuania
Malaysia (en)
Mexico
Netherlands
New Zealand
Norway
Pakistan (en)
Peru
Philippines (en)
Poland
Portugal
Romania
Russia
Saudi Arabia
Singapore
Slovakia
Slovenia
South Africa
Spain (ca)
Spain (es)
Sweden
Switzerland (de)
Switzerland (fr)
Taiwan
Thailand (en)
Turkey
Ukraine
United Kingdom
US (English)
US (Spanish)
Vietnam (en)
Safe search: moderate
Strict
Moderate
Off
Any time
Any time
Past day
Past week
Past month
Past year
  1. journals.sagepub.com

    Jun 15, 2023Specifically, we aim to help explain complex data science and machine learning workflows by providing an abstract representation of them. We follow an "explanation-by-exploration" approach , which enables users to obtain an abstract view of the journey of data through an AI workflow and then dive into the code corresponding to those steps.
  2. journals.sagepub.com

    Jun 15, 2023To tackle this problem, we focus on the extraction and representation of data journeys from these workflows. A data journey is a multi-layered semantic representation of data processing activity linked to data science code and assets. We propose an ontology to capture the essential elements of a data journey and an approach to extract such data ...
  3. oro.open.ac.uk

    Artificial intelligence systems are not built on single simple datasets or trained models. Instead, they are built using complex data science workflows involving multiple datasets, models, preparation scripts and algorithms. Given this complexity, in order to understand these complex AI systems, we need to provide explanations of their functioning at higher levels of abstraction.
  4. semantic-web-journal.net

    Our work is positioned in this line of work. Specifically, we aim to help explain complex data science and machine learning workflows by providing an abstract representation of them. We follow an "explanation-by-exploration" approach [11], which enables users to obtain an abstract view of the journey of data through an AI workflow and
  5. researchgate.net

    Jun 15, 2023Instead, data journeys is about explaining AI experiments themselv es through exploring the code that implement them. In addition, data journeys are conceived as multi-layered, open-ended objects.
  6. semanticscholar.org

    Jun 15, 2023An ontology to capture the essential elements of a data journey and an approach to extract such data journeys are proposed and it is shown that introducing an intermediate knowledge graph representation outperforms models that rely only on the code itself. Artificial intelligence systems are not simply built on a single dataset or trained model. Instead, they are made by complex data science ...
  7. semantic-web-journal.org

    Data journeys: explaining AI workflows through abstraction. Submitted by Paul Groth on 07/28/2022 - 09:02 . Tracking #: 3199-4413. A new version of this paper is available. Authors: Enrico Daga. Paul Groth. Responsible editor: Guest Editors Ontologies in XAI. Submission type: Full Paper.
  8. Apr 14, 2023Artificial intelligence systems are not simply built on a single dataset or trained model. Instead, they are made by complex data science workflows involving multiple datasets, models, preparation scripts, and algorithms. Given this complexity, in order to understand these AI systems, we need to provide explanations of their functioning at higher levels of abstraction.
  9. ouci.dntb.gov.ua

    Artificial intelligence systems are not simply built on a single dataset or trained model. Instead, they are made by complex data science workflows involving multiple datasets, models, preparation scripts, and algorithms. Given this complexity, in order to understand these AI systems, we need to provide explanations of their functioning at higher levels of abstraction. To tackle this problem ...
  10. Data journeys: Explaining AI workflows through abstraction Daga, ... To tackle this problem, we focus on the extraction and representation of data journeys from these workflows. A data journey is a multi-layered semantic representation of data processing activity linked to data science code and assets. We propose an ontology to capture the ...

    Can’t find what you’re looking for?

    Help us improve DuckDuckGo searches with your feedback

Custom date rangeX