138 documents found, page 1 of 14
Data Science in the Management of Healthcare Organizations
Faria, Pedro; Alves, Victor; Neves, José; Vicente, HenriqueThe transformation of healthcare organizations is essential to address their inherent complexity and dynamic nature. This study emphasizes the role of Data Science, with the incorporation of Artificial Intelligence tools, in enabling data-driven and interconnected management strategies. To achieve this, a thermodynamic approach to Knowledge Representation and Reasoning was employed, capturing healthcare workers...
Encouraging Eco-Innovative Urban Development
Alves, Victor; Fdez-Riverola, Florentino; Ribeiro, Jorge; Neves, José; Vicente, HenriqueThis article explores the intertwining connections among artificial intelligence, machine learning, digital transformation, and computational sustainability, detailing how these elements jointly empower citizens within a smart city framework. As technological advancement accelerates, smart cities harness these innovations to improve residents’ quality of life. Artificial intelligence and machine learning act as...
Multi-agent system for multimodal machine learning object detection
Coelho, Eduardo; Pimenta, Nuno; Peixoto, Hugo; Durães, Dalila; Melo-Pinto, Pedro; Alves, Victor; Bandeira, Lourenço; Machado, José Manuel; Novais, PauloMulti-agent systems have shown great promise in addressing complex problems that traditional single-agent approaches are not be able to handle. In this article, we propose a multi-agent system for the conception of a multimodal machine learning problem on edge devices. Our architecture leverages docker containers to encapsulate knowledge in the form of models and processes, enabling easy management of the syste...
Algorithm recommendation and performance prediction using meta-learning
Palumbo, Guilherme; Carneiro, Davide Rua; Guimares, Miguel; Alves, Victor; Novais, PauloIn the last years, the number of machine learning algorithms and their parameters has increased significantly. On the one hand, this increases the chances of finding better models. On the other hand, it increases the complexity of the task of training a model, as the search space expands significantly. As the size of datasets also grows, traditional approaches based on extensive search start to become prohibiti...
Augmented reality-assisted ultrasound breast biopsy
Costa, Nuno; Ferreira, Luís; Araújo, Augusto R. V. F. de; Oliveira, Bruno; Torres, Helena Daniela Ribeiro; Morais, Pedro; Alves, Victor; Vilaça, João L.Breast cancer is the most prevalent cancer in the world and the fifth-leading cause of cancer-related death. Treatment is effective in the early stages. Thus, a need to screen considerable portions of the population is crucial. When the screening procedure uncovers a suspect lesion, a biopsy is performed to assess its potential for malignancy. This procedure is usually performed using real-time Ultrasound (US) ...
Predicting model training time to optimize distributed machine learning applica...
Guimarães, Miguel; Carneiro, Davide; Palumbo, Guilherme; Oliveira, Filipe; Oliveira, Óscar; Alves, Victor; Novais, PauloDespite major advances in recent years, the field of Machine Learning continues to face research and technical challenges. Mostly, these stem from big data and streaming data, which require models to be frequently updated or re-trained, at the expense of significant computational resources. One solution is the use of distributed learning algorithms, which can learn in a distributed manner, from distributed data...
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...
Employees balance and stability as key points in organizational performance
Neves, José; Maia, Nuno; Marreiros, Goreti; Neves, Mariana; Fernandes, Ana; Ribeiro, Jorge; Araújo, Isabel; Araújo, Nuno; Ávidos, LilianaSystem analyses deal with interrelationships between different variables that keep the system in balance. In many analysis of complex thinking, a system is viewed as a complex unit in which the ‘whole’ is not reduced to the ‘sum’ of its parts; the system becomes an ambiguous item because it consists of several entities that interact with unforeseen results or, in other words, it is situated at a transdisciplina...
Transforming ideas and developing entrepreneurship skills in computing sciences...
Moreno, Edward David; Fernandes, João M.; Alves, Victor; Olave, Maria Elena Leon; Afonso, PauloThis paper presents an approach on entrepreneurship education which helps to turn ideas into Minimum Viable Products (MVP) and to capacitate students to become entrepreneurs. In this approach, we integrate development and management project to different business models. Students acquire, in addition to technical competencies, skills on market knowledge and business modeling. This approach has been applied for s...
Employees balance and stability as key points in organizational performance
Neves, José; Maia, Nuno; Marreiros, Goreti; Neves, Mariana; Fernandes, Ana; Ribeiro, Jorge; Araújo, Isabel; Araújo, Nuno; Ávidos, LilianaSystem analyses deal with interrelationships between different variables that keep the system in balance. In many analysis of complex thinking, a system is viewed as a complex unit in which the ‘whole’ is not reduced to the ‘sum’ of its parts; the system becomes an ambiguous item because it consists of several entities that interact with unforeseen results or, in other words, it is situated at a transdisciplina...