44 documents found, page 1 of 5
Explainable artificial intelligence on smart human mobility: a comparative stud...
Rosa, Luís; Silva, Fábio André Souto; Analide, CesarExplainable artificial intelligence has been used in several scientific fields to understand how and why a machine learning model makes its predictions. Its characteristics have allowed for greater transparency and outcomes in AI-powered decision-making. This building trust and confidence can be useful in human mobility research. This work provides a comparative study in terms of the explainability of artificia...
Smart human mobility in smart cities
Rosa, Luís; Analide, Cesar; Silva, Fábio André SoutoNowadays, society has challenged the scienti c community to nd solutions able to use technology to solve the gentri cation3 of city centers. Within this context, smart cities have had an important role because they view each citizen as a data source. In the same way, the Internet of Things network increases the number of physical devices generating peta-bytes of information into a Smart city architecture. Thus ...
An entropic approach to technology enable learning and social computing
Alves, Victor; Miranda, José; Dawa, Hossam; Fernandes, Filipe; Pombal, Fernanda; Ribeiro, Jorge; Fdez-Riverola, Florentino; Analide, CesarUnderstanding one's own behavior is challenging in itself; understanding a group of different individuals and the many relationships between these individuals is even more complex. Imagine the amazing complexity of a large system made up of thousands of individuals and hundreds of groups, with countless relationships between those individuals and groups. However, despite this difficulty, organizations must be m...
Explainable decision tree on smart human mobility
Rosa, Luís; Analide, Cesar; Silva, Fábio André SoutoArtificial Intelligence is a hot topic and Machine Learning is one of the most fluent approaches and practices. The problem with many AI models is that they can be useful for predicting but they are bad at explaining why they behave a certain way. In some contexts, the explanation may even be more important than the prediction itself, mainly in systems in which decisions are made based on their predictions. The...
A multi-agent system for automated machine learning
Fernandes, B.; Novais, Paulo; Analide, CesarMachine Learning (ML) focuses on giving machines the ability to forecast, predict, or classify without being explicitly programmed to do so. To achieve such goals, large amounts of data are used to conceive models that can adapt to unseen data and to new scenarios. However, applying ML models to real-world business domains is a resource-intensive and time-consuming effort. Automated machine learning (AutoML) em...
An Entropic Approach to Technology Enable Learning and Social Computing
Alves, Vitor; Miranda, José; Dawa, Hossam; Fernandes, Filipe; Pombal, Fernanda; Ribeiro, Jorge; Fdez-Riverola, Florentino; Analide, CesarUnderstanding one’s own behavior is challenging in itself; understanding a group of different individuals and the many relationships between these individuals is even more complex. Imagine the amazing complexity of a large system made up of thousands of individuals and hundreds of groups, with countless relationships between those individuals and groups. However, despite this difficulty, organizations must be m...
Analyzing metrics to understand human mobility phenomena: challenges and solutions
Rosa, Luís; Silva, Fábio André Souto; Analide, CesarDefining basic metrics that analyze human motion is important for urban planning and population mobility forecasting. These metrics are applied to understand extensive human mobility data generated from multiple sources. This means that our understanding of the basic metrics governing human motion is conditioned by integrating different data sources available. To the best of our knowledge, this article is a com...
Distress detection in road pavements using neural networks
Gomes, Luís Filipe; Analide, Cesar; Freitas, E. F.Combining Computer Vision (CV) and Anomaly Detection (AD), there is a convergence of methodologies using convolutional layers in AD architectures, which we consider an innovation in the field. The main goal of this work is to present different Artificial Neural Networks (ANN) architectures, applying them to distress detection in road pavements and comparing the results obtained in each approach. The experimente...
Sentiment analysis based on smart human mobility: a comparative study of ML models
Rosa, Luís; Faria, Hugo; Tabrizi, Reza; Gonçalves, Simão; Silva, Fábio André Souto; Analide, CesarThe great social development of the last few decades has led more and more to free time becoming an essential aspect of daily life. As such, there is the need to maximize free time trying to enjoy it as much as possible and spending it in places with positive atmospheres that result in positive sentiments. In that vein, using Machine Learning models, this project aims to create a time series prediction model ca...
Mobile networks and internet of things infrastructures to characterize smart hu...
Rosa, Luís; Silva, Fábio André Souto; Analide, CesarThe evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. How...