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Mostrando ítems 1-10 de 353
Artículo
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
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
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
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
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
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
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
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
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
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 ...