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Artículo
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CrimeNet: Neural Structured Learning using Vision Transformer for violence detection
(Elsevier, 2023-04-01)
The state of the art in violence detection in videos has improved in recent years thanks to deep learning models, but it is still below 90% of average precision in the most complex datasets, which may pose a problem of ...
Ponencia
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Definition and Verification of Security Configurations of Cyber-Physical Systems
(Springer, 2020)
The proliferation of Cyber-Physical Systems (CPSs) is rais ing serious security challenges. These are complex systems, integrating physical elements into automated networked systems, often containing a variety of devices, ...
Artículo
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Lean User Research for Agile Organizations
(IEEE, 2020-07)
In the context of Digital Transformation, organizations need to react in a exible manner to rapidly changing markets and disruptive technologies. Customer and user satisfaction are important in order to succeed. Agile ...
Artículo
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Two Decades of Assistive Technologies to Empower People with Disability: a Systematic Mapping Study
(Taylor & Francis, 2023-10-05)
Purpose: Information and Communication Technologies have transformed our lives in different social areas, facilitating interpersonal relationships thanks to technological tools. In the specific case of people with disabilities, ...
Ponencia
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Extensible and modular abstract syntax for feature modeling based on language constructs
(ACM Digital Library, 2020)
Since the definition of feature models in 1990, a large number of language constructs have emerged. Each language construct usually comes with its own abstract and concrete syntax, its semantics, and even its complete ...
Artículo
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Empirical Evidence of the Usage of Programming Languages in the Educational Process
(IEEE Computer Society, 2021)
Contribution: A systematic literature review on the empirical evidence regarding the usage of programming languages for learning purposes is presented. The review analyzes different methods and tools at different ...
Artículo
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SLA‑aware operational efciency in AI‑enabled service chains: challenges ahead
(Springer, 2022-01-28)
Service providers compose services in service chains that require deep integration of core operational information systems across organizations. Additionally, advanced analytics inform data-driven decision-making in ...
Artículo
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Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent
(Springer, 2021)
Time series forecasting of disaggregated freight flow is a key issue in decision-making by port authorities. For this purpose and to test new deep learning techniques we have selected seven time series of imported goods ...
Artículo
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Filter‑based feature selection in the context of evolutionary neural networks in supervised machine learning
(Springer, 2020)
This paper presents a workbench to get simple neural classifcation models based on product evolutionary networks via a prior data preparation at attribute level by means of flter-based feature selection. Therefore, the ...
Ponencia
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Looking for the Why in Event Logs for Robotic Process Automation
(CEUR Workshop Proceedings, 2022-09)
The concept of Robotic Process Automation (RPA) has gained relevant attention in both industry and academia. RPA raises a way of automating mundane and repetitive human tasks requiring less intrusiveness with the IT ...