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Explaining deep learning models for ozone pollution prediction via embedded feature selection
(ScienceDirect, 2024)
Ambient air pollution is a pervasive global issue that poses significant health risks. Among pollutants, ozone (O3) is responsible for an estimated 1 to 1.2 million premature deaths yearly. Furthermore, O3 adversely affects ...
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A Delphi study to recognize and assess systems of systems vulnerabilities
(Elsevier, 2022)
Context: System of Systems (SoS) is an emerging paradigm by which independent systems collaborate by sharing resources and processes to achieve objectives that they could not achieve on their own. In this context, a ...
Ponencia
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Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming
(Springer, 2021)
This paper presents a new forecasting algorithm for time series in streaming named StreamWNN. The methodology has two well-differentiated stages: the algorithm searches for the nearest neighbors to generate an initial ...
Ponencia
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Using Models at Runtime to Adapt Self-managed Agents for the IoT
(Springer, 2016)
One of the most important challenges of this decade is the Internet of Things (IoT) that pursues the integration of real-world objects in the virtual world of the Internet. One property that characterises IoT systems is ...
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Flipping Laboratory Sessions: An Experience in Computer Science
(IEEE Computer Society, 2020)
This paper reports our experience in flipping a second- year undergraduate course on software architecture and integration, taught in the second course of a Software Engineering degree. We compare the application of the ...
Ponencia
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A Catalogue of Inter-Parameter Dependencies in RESTful Web APIs
(Springer, 2019)
Web services often impose dependency constraints that re strict 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 ...
Ponencia
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Towards the smart use of embedding and instance features for property matching
(IEEE Computer Society, 2021)
Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities from many sources. Matching and fusion of such entities require to also match and combine their ...
Ponencia
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Una arquitectura para abordar la ejecución y mantenimiento de robots RPA potenciados por Inteligencia Artificial
(Asociación de Ingeniería del Software y Tecnologías de Desarrollo de Software (SISTEDES), 2021)
La Automatización Robótica de Procesos (RPA) es un paradigma software en el que los robots son programas que imitan el comportamiento humano. Su objetivo principal es buscar una automatización integral, de manera que el ...
Ponencia
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The Makey Makey Inclusive Tangible Interface and its Educational Perspectives
(Sociedade Brasileira de Computação, 2022-11)
Traditional human-computer interaction using a keyboard and mouse attached to a computer has been modified with the emergence of technologies that incorporate resources into clothing, furniture and everyday objects. These ...
Artículo
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We’re Not Gonna Break It! Consistency-Preserving Operators for Efficient Product Line Configuration
(IEEE Computer Society, 2022)
When configuring a software product line, finding a good trade-off between multiple orthogonal quality concerns is a challenging multi-objective optimisation problem. State-of-the-art solutions based on search-based ...