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Big Data and Cognitive Computing, Volume 5, Issue 2

2021 June - 12 articles

Cover Story: The road to fully Trustworthy Artificial Intelligence (AI) includes the need to be able to track and capture all the aspects related to the production of an AI model, including not only the provenance of data, processes and artifacts, but also the researcher's judgement and process of thought in their decision making. Here, we review the existing tools and data models for traceability, finding a number of them to be with different capabilities and levels of maturity but also lacking a common approach to the task. Finally, we also propose a set of minimal requirements to consider a model traceable according to the High-Level Expert Group on AI guidelines, showing a number of directions in which there is a need to carry out further work towards completely traceable decisions made based on models. View this paper
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Articles (12)

  • Article
  • Open Access
7 Citations
7,411 Views
15 Pages

Near-Real-Time IDS for the U.S. FAA’s NextGen ADS-B

  • Dustin M. Mink,
  • Jeffrey McDonald,
  • Sikha Bagui,
  • William B. Glisson,
  • Jordan Shropshire,
  • Ryan Benton and
  • Samuel Russ

Modern-day aircraft are flying computer networks, vulnerable to ground station flooding, ghost aircraft injection or flooding, aircraft disappearance, virtual trajectory modifications or false alarm attacks, and aircraft spoofing. This work lays out...

  • Article
  • Open Access
17 Citations
6,619 Views
12 Pages

Many activities and sectors have come to a halt due to the COVID-19 crisis. People and workers’ habits and behaviors have changed dramatically, as the use of technologies and connections, virtual reality, and remote support have been enhanced. Busine...

  • Article
  • Open Access
4 Citations
7,672 Views
12 Pages

Structural Differences of the Semantic Network in Adolescents with Intellectual Disability

  • Karin Nilsson,
  • Lisa Palmqvist,
  • Magnus Ivarsson,
  • Anna Levén,
  • Henrik Danielsson,
  • Marie Annell,
  • Daniel Schöld and
  • Michaela Socher

The semantic network structure is a core aspect of the mental lexicon and is, therefore, a key to understanding language development processes. This study investigated the structure of the semantic network of adolescents with intellectual disability...

  • Article
  • Open Access
12 Citations
8,315 Views
12 Pages

Data migration is required to run data-intensive applications. Legacy data storage systems are not capable of accommodating the changing nature of data. In many companies, data migration projects fail because their importance and complexity are not t...

  • Article
  • Open Access
81 Citations
77,839 Views
15 Pages

Information exchange has become increasingly faster and efficient through the use of recent technological advances, such as instant messaging and social media platforms. Consequently, access to information has become easier. However, new types of cyb...

  • Article
  • Open Access
3 Citations
6,024 Views
10 Pages

Several important questions cannot be answered with the standard toolkit of causal inference since all subjects are treated for a given period and thus there is no control group. One example of this type of questions is the impact of carbon dioxide e...

  • Article
  • Open Access
17 Citations
7,252 Views
19 Pages

Big data analysis assumes a significant role in Earth observation using remote sensing images, since the explosion of data images from multiple sensors is used in several fields. The traditional data analysis techniques have different limitations on...

  • Article
  • Open Access
72 Citations
20,660 Views
14 Pages

Traceability for Trustworthy AI: A Review of Models and Tools

  • Marçal Mora-Cantallops,
  • Salvador Sánchez-Alonso,
  • Elena García-Barriocanal and
  • Miguel-Angel Sicilia

Traceability is considered a key requirement for trustworthy artificial intelligence (AI), related to the need to maintain a complete account of the provenance of data, processes, and artifacts involved in the production of an AI model. Traceability...

  • Article
  • Open Access
3 Citations
5,642 Views
17 Pages

Coral reefs are undergoing a severe decline due to ocean acidification, seawater warming and anthropogenic eutrophication. We demonstrate the applicability of Deep Learning (DL) for following these changes. We examined the distribution and frequency...

  • Article
  • Open Access
46 Citations
17,711 Views
14 Pages

The increasing use of AI in different societal contexts intensified the debate on risks, ethical problems and bias. Accordingly, promising research activities focus on debiasing to strengthen fairness, accountability and transparency in machine learn...

  • Article
  • Open Access
9 Citations
6,753 Views
26 Pages

GeoLOD: A Spatial Linked Data Catalog and Recommender

  • Vasilis Kopsachilis and
  • Michail Vaitis

The increasing availability of linked data poses new challenges for the identification and retrieval of the most appropriate data sources that meet user needs. Recent dataset catalogs and recommenders provide advanced methods that facilitate linked d...

  • Article
  • Open Access
2 Citations
7,221 Views
16 Pages

Wine Ontology Influence in a Recommendation System

  • Luís Oliveira,
  • Rodrigo Rocha Silva and
  • Jorge Bernardino

Wine is the second most popular alcoholic drink in the world behind beer. With the rise of e-commerce, recommendation systems have become a very important factor in the success of business. Recommendation systems analyze metadata to predict if, for e...

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Big Data Cogn. Comput. - ISSN 2504-2289