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Issue DateTitleAuthor(s)Type
2018-09-19Deep Learning for the Segmentation of Vessels in Retinal Fundus images and its InterpretationPedro Filipe Cavaleiro BredaDissertação
2020-07-22Deep Learning in Melanoma DetectionBruno Alexandre Oliveira DiasDissertação
2023-07-20Deep learning lifecycle management - an application to automatic inspection in industrial production linesDiogo Filipe de Oliveira SantosDissertação
2020-02-10Deep Learning Solutions for Lung Cancer Characterization in Histopathological ImagesJoão Moranguinho Bastardo MouraDissertação
2022-10-14Deep Learning X-Ray Analysis for Pulmonary DiseasesAna Carolina Barbosa Martins MarquesDissertação
2021-07-27Deep Reinforcement Learning for Automated ParkingDinis Falcão Leite MoreiraDissertação
2023-11-08Deep Reinforcement Learning for Joint Cruise Control and Intelligent Data Acquisition in UAVs-Assisted Sensor NetworksYousef EmamiTese
2022-07-15Deep Reinforcement Learning for Myoelectric Control of Upper Limb MovementAna Mafalda Costa SantosDissertação
2019-07-12Deep Reinforcement Learning in Strategic Multi-Agent Games: the case of No-Press DiplomacyDiogo Henrique Marques CruzDissertação
2023-10-11Deep Reinforcement Learning Methods for Cooperative Robotic NavigationJosé Pedro Ferreira Pinheiro de CarvalhoDissertação
2024-03-18DeepRevive: Deep Learning-Based Image Analysis for Cultural Heritage Preservation, Restoration and AccessibilityMiguel José Lacerda Megre Jordão DuarteDissertação
2021-10-15Deepwater Intelligent Video RecorderLuís Páris Couto Venn FonsecaDissertação
2014-07-10Defining a test automation system for mobile APPSRenato Miguel RodriguesDissertação
2020-07-22Definition and adaptation of 3D templates for synthesizing human activityRicardo Miguel Oliveira Rodrigues de CarvalhoDissertação
2013Definition of the Methodology for Integration and Validation of the Toolbox, Deliverable D7.1 of the iTesla ProjectAndré Madureira (INESC Porto); Maria Helena Vasconcelos (INESC Porto); Jorge Pereira (INESC Porto); Emanuel Fonseca (INESC Porto); QUINARY; Pepite; RTE; Statnett; IPTO; AIA; TractebelRelatório Técnico
2014Deliverable 3.3 - Advanced Local Distribution Grid Monitoring / State-EstimationJorge Pereira; Pedro Barbeiro; Henrique Teixeira; George Korres; Xygkis Themistoklis; Manousakis Nikolaos; Despina Koukoula; Panayotis MoutisRelatório Técnico
2021-07-21Delivery Forecasting in Project ManagementHenrique Miguel Bastos GoncalvesDissertação
2019-07-09Delivery Time Slot Management Methods in Online RetailArmando Silvestre Loureiro PeixotoDissertação
2018-07-20Demand forecasting in a multi-specialty hospital setting: a comparative study of machine learning and classical statistical methodsCarlos Miguel Ferreira AlvesDissertação
2018-07-20Dendro Keywords: Supporting data description through information extractionCláudio Luís de Sousa MonteiroDissertação