• Effectiveness of Machine Learning for Intrusion Detection Systems. Heuristic-based Network Intrusion Detection System over Supervised Learning

  Valiente Sanchez, Joel (2020-11-25)

  Network Intrusion Detection Systems (NIDS) are software applications monitoring a network and the systems using this network for detecting malicious activities. These activities are reported to the administrator in the ...
• Deep Learning for Sarcasm Detection on Twitter

  Ostos Balfagón, Rubèn (2020-11-25)

  Automatic sarcasm detection has come very helpful to improve sentiment analysis, being proved their direct relationship recently. Numerous deep learning approaches have been applied lately in this task obtaining very ...
• Malware and Spy Systems Hybrid Botnet over Tor

  Orihuela Rodríguez, Daniel (2020-11-25)

  In the last decade, cybercrime has been a profitable area. Cybercriminals had been able to get away with large amounts of money thanks to advanced techniques and architectures like botnets, ransomware, banking malware, ...
• Internet de las Cosas Aplicado a Farolas Solares

  Mesas Cervilla, Francisco (2020-11-25)

  Muestra como utilizar la comunicación LoRa para ofrecer un servicio a la ciudadanía e instituciones para la obtención de datos ambientales mediante farolas, permitiendo cumplir con las normativas. Estudia la parte que ...
• Webcam-Based Eye Tracking Research For CSCL Sessions

  Matilla Miras, Adrián (2020-11-25)

  Con la integración de herramientas para mejorar el aprendizaje en entornos colaborativos en las aulas, recientemente ha crecido el interés en proporcionar soporte a los profesores que guían a los participantes de estas ...
• Implementation of a Big Data Cloud-Based Catalog Using Open Data

  Caritj Costa, Roger (2020-11-25)

  In this project, we will develop a cloud-based data catalog. We will first determine the services that will be necessary and afterward build the infrastructure in Azure. Then we will explore the Open Data sources available ...
• Reconstruction and validation of electrocardiographic imaging: Inverse problems

  Borràs Argemí, Marta (2020)

  A considerable number of sudden unexpected cardiac deaths occur every year in developed countries. Non-invasive techniques to identify patients at risk, provide accurate diagnosis and ablation guidance therapy currently ...
• Meta Research Conference MERE 2019: Proceedings

  Hernández Leo, Davinia; Martínez Moreno, Judit (2020-06)

  This document collects a selection of papers written by master’s students in the context of the “Research Methods” course common to the Master’s Programmes in Sound and Music Computing, Intelligent and Interactive Systems, ...
• Multimodal fusion of US and MR images for Twin to Twin Transfusion Syndrome fetal surgeries

  Monfort Sánchez, Elena (2019)

  Around 15% of all monochorionic pregnancies are affected by Twin to Twin Transfusion Syndrome. It involves chronic transfusion between donor twin to recipient twin, leading to an unbalanced growth of fetus due to unequal ...
• Analysis of knowledge acquisition and emotional behaviour related to autism in a 3D virtual reality immersion

  Antunes Bruno, Alejandro (2018)

  Introduction: ASD is a neurological and developmental disorder caused by differences in the brain from typical development individuals. These individuals have difficulties processing auditory and visual information. ...
• Early prediction of Alzheimer’s disease using longitudinal descriptors over MRI data

  Alonso Amado, David (2018)

  Alzheimer’s Disease (AD) is a chronic neurodegenerative disease characterized by memory loss and decline in other cognitive abilities. The neuronal death produces atrophy, which can be observed using Magnetic Resonance ...
• Heart rate variability measuring from facial videos to detect stress

  Garcia Gómez, Guillem (2018)

  The remote measurement of physiology is an interesting topic that has gained relevance in recent years as it can be a promising alternative to traditional methods to detect body signals. In particular, remote ...
• Development of an educational tool for building biomedical devices and analysing the collected data

  Gelabert Xirinachs, Joana (2018)

  Biomedical Engineering is nowadays an emergent and rapidly growing knowledge field. Combining medicine and biology with technology can lead to the creation of lifechanging applications. The Do It Yourself (DIY) community ...
• CEEASY: A guiding tool throughout the medical devices CE marking process. Case study: MiWEndo

  Miralles Estrada, Clàudia (2018)

  The medical device sector has been growing for the last years and it is expected to keep growing. As CE marking is necessary to sell products in Europe, everyday more entrepreneurs need to learn how the CE marking process ...
• Consolidating memory in natural recurrent neuronal networks

  Casal Santiago, Miguel Ángel (2018)

  Neuronal networks provide living organisms with the ability to process information. While artificial neural networks, widely used nowadays in machine learning, are mostly based on a feedforward architecture, natural ...
• Cardiac motion analisys from TAG-MRI using radiomics

  Gándara Jiménez, Minerva (2018)

  Abnormalities in heart wall motion are often related to cardiovascular disease (CVD), the first cause of death worldwide. In this context, tag-MRI imaging technique has the potential to become the gold-standard for ...
• Unsupervised Multiple Kernel Learning to characterize Heart Failure patients considering myocardial mechanics and hemodynamics

  Martí Castellote, Pablo Miki (2018)

  Heart Failure with preserved Ejection Fraction has proven to be a suitable syndrome to be studied with machine learning approaches, as its complexity is not fully captured in clinical guidelines. For this reason, in ...
• Predictive modelling of femur fracture from DXA scans using radiomics and machine learning

  Rodríguez Martín, Raquel (2018)

  Predictive modeling of bone fractures at the hip using DXA images is an important research field due to the capability of this imaging modality to capture osteoporosis related changes in the bone tissues. There exist ...
• Personalization of a biophysically realistic computational model of the brain activity using EEG and MRI data: The first step towards a new generation of virtual experiments on personalized human brain models

  Sanchez Todo, Roser (2018)

  In the present study we present a new modeling approach of a whole-brain network model based on a combination DTI-driven anatomical connectivity of the brain and Jansen and Rit neural mass model. We also propose an ...
• Information processing organization of a biological neural network

  Galella Toledo, Santiago (2018)

  Reservoir computing has been recently proposed as a paradigm of how the brain processes time-dependent complex information. It relies on a recurrent core of neurons, known as the reservoir, that receives and encodes complex ...

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