Browsing by Research Group "Laboratorio de Enxeñaría do Software (ISLA)"
Now showing items 1-20 of 24
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A centralized matching scheme to solve the role-partner allocation problem in collaborative networks
(Elsevier, 2022-07)[Abstract]: In the current constantly changing business and economic environment, partners (i.e., individuals and/or enterprises) create Collaborative Networks to join efforts and undertake new projects together, thus ... -
A data mining approach for classification of orthostatic and essential tremor based on MRI‐derived brain volume and cortical thickness
(John Wiley & Sons Ltd., 2019-11-26)[Abstract] Objective - Orthostatic tremor (OT) is an extremely rare, misdiagnosed, and underdiagnosed disorder affecting adults in midlife. There is debate as to whether it is a different condition or a variant of essential ... -
A metrology-based approach for measuring the social dimension of cognitive trust in collaborative networks
(2020)[Abstract]: This paper addresses the measurement of the social dimension of cognitive trust in collaborative networks. Trust indicators are typically measured and combined in literature in order to calculate partners’ ... -
A review on machine learning approaches and trends in drug discovery
(Research Network of Computational and Structural Biotechnology, 2021)Abstract: Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approach used in this search presents an important component in computer science ... -
Application for Decision-Making on Mild Cognitive Impairments
(MDPI, 2021)[Abstract] Life expectancy in Western countries is increasing. The fact that humans are living longer lives presents new challenges to people’s quality of life. Some of the problems that most affect older people are the ... -
Artificial glial cells in artificial neuronal networks: a systematic review
(Springer Nature, 2023-11)[Abstract]: The concept of tripartite synapses has revolutionized the world of neuroscience and the way we understand how information is transmitted in the brain. Since its discovery, some research groups have incorporated ... -
ASAP (Automatic Software for ASL Processing): A toolbox for processing Arterial Spin Labeling images
(2016)[Abstract]: The method of Arterial Spin Labeling (ASL) has experienced a significant rise in its application to functional imaging, since it is the only technique capable of measuring blood perfusion in a truly non-invasive ... -
Automated argumentation-based social trust negotiation in collaborative networks
(Elsevier, 2025-05)[Abstract]: Collaboration is an inherent property in Collaborative Networks (CNs), that are increasingly becoming the mainstay of manufacturing and production firms. Collaboration success largely depends on trust. Therefore, ... -
Classification of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-Learning Techniques
(2019)[Abstract]: Introduction: The unanticipated magnetic resonance imaging (MRI) detection in the brain of asymptomatic subjects of white matter lesions suggestive of multiple sclerosis (MS) has been named as radiologically ... -
Deep Learning-Based Wave Overtopping Prediction
(MDPI, 2024-03-20)[Abstract]: This paper analyses the application of deep learning techniques for predicting wave overtopping events in port environments using sea state and weather forecasts as inputs. The study was conducted in the outer ... -
Diffusion tensor imaging in orthostatic tremor: a tract‐based spatial statistics study
(John Wiley & Sons Ltd., 2019-10-06)[Abstract] Objective The pathogenesis of orthostatic tremor (OT) is unknown. We investigated OT‐related white matter changes and their correlations with scores from a neuropsychological testing battery. Methods Diffusion ... -
Efficient Implementation of Multilayer Perceptrons: Reducing Execution Time and Memory Consumption
(MDPI, 2024)[Abstract]: A technique is presented that reduces the required memory of neural networks through improving weight storage. In contrast to traditional methods, which have an exponential memory overhead with the increase in ... -
Environmental Sustainability in Information Technologies Governance
(M D P I AG, 2018-12-15)[Abstract] In the present day, many risk factors affect the continuity of a business. However, this situation produces a conducive atmosphere to approach alternatives that relieve this situation for organizations. Within ... -
ESCAPE: Environmental Sampling Campaigns for Aerosols and Precursor GasEs
(2020)[Abstract] Software to manage sampling campaigns on atmospheric aerosol in a comprehensive way: call and agreements on the campaigns, data upload and intra‐ and inter‐campaign data analysis, including those regarding not ... -
Estimulación musical temprana en casa: propuesta de aplicación móvil
(REDINE, Red de Investigación e Innovación Educativa, 2020) -
Machine Learning Based Moored Ship Movement Prediction
(MDPI, 2021)[Abstract] Several port authorities are involved in the R+D+i projects for developing port management decision-making tools. We recorded the movements of 46 ships in the Outer Port of Punta Langosteira (A Coruña, Spain) ... -
Machine Learning-Based Radon Monitoring System
(MDPI, 2022)[Abstract] Radon (Rn) is a biological threat to cells due to its radioactivity. It is capable of penetrating the human body and damaging cellular DNA, causing mutations and interfering with cellular dynamics. Human exposure ... -
Random Forest-Based Prediction of Stroke Outcome
(Nature Research, 2021)[Abstract] We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model using machine learning techniques for prediction of mortality and ... -
SCALA: Sampling Campaigns for Aerosols in the Low Atmosphere
(2017)[Abstract]: Software to manage sampling campaigns on atmospheric aerosol in a comprehensive way: call and agreements on the campaigns, data upload and intra‐ and inter‐campaign data analysis. -
Senolytic Activity of Small Molecular Polyphenols from Olive Restores Chondrocyte Redifferentiation and Promotes a Pro-Regenerative Environment in Osteoarthritis
(Impact Journals LLC, 2020-08-03)[Abstract] Articular cartilage and synovial tissue from patients with osteoarthritis (OA) show an overactivity of connexin43 (Cx43) and accumulation of senescent cells associated with disrupted tissue regeneration and ...
