Buscar
Mostrando ítems 1-10 de 182
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 ...
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, ...
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 ...
Artículo
Approaches to manage the user experience process in Agile software development: A systematic literature review
(ScienceDirect, 2022-10)
Context: Software development companies use Agile methods to develop their products or services efficiently and in a goal-oriented way. But this alone is not enough to satisfy user demands today. It is much more important ...
Artículo
Effects of Mindfulness on Conceptual Modeling Performance: a Series of Experiments
(IEEE Computer Society, 2022)
Context. Mindfulness is a meditation technique whose main goal is keeping the mind calm and educating attention by focusing only on one thing at a time, usually breathing. The reported benefits of its continued practice ...
Artículo
Specification and Automated Analysis of Inter-Parameter Dependencies in Web APIs
(IEEE Computer Society, 2021)
Web services often impose inter-parameter dependencies that restrict the way in which two or more input parameters can be combined to form valid calls to the service. Unfortunately, current specification languages for web ...