Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Alberto Belmonte Hernandez"'
1
Akademický článek
A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers
Autor: David Martin-Gutierrez, Gustavo Hernandez-Penaloza, Alberto Belmonte Hernandez, Alicia Lozano-Diez, Federico Alvarez
Publikováno v: IEEE Access, Vol 9, Pp 54591-54601 (2021)
During the last decades, the volume of multimedia content posted in social networks has grown exponentially and such information is immediately propagated and consumed by a significant number of users. In this scenario, the disruption of fake news pr
Externí odkaz: https://doaj.org/article/1ebb755a99db4bc6a0a8cbf21d5f538b
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2
Akademický článek
DrOGA: An Artificial Intelligence Solution for Driver-Status Prediction of Genomics Mutations in Precision Cancer Medicine
Autor: Matteo Bastico, Anaida Fernandez-Garcia, Alberto Belmonte-Hernandez, Silvia Uribe Mayoral
Publikováno v: IEEE Access, Vol 11, Pp 37378-37391 (2023)
Precision cancer medicine suggests that better cancer treatments would be possible guiding therapies by tumor’s genomics alterations. This hypothesis boosted exome sequencing studies, collection of cancer variants databases and developing of statis
Externí odkaz: https://doaj.org/article/90f6f6ff18294c94a7ea585d4c85eb3b
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4
Recurrent Model for Wireless Indoor Tracking and Positioning Recovering Using Generative Networks
Autor: Gustavo Hernandez-Penaloza, David Martin Gutierrez, Federico Alvarez, Alberto Belmonte-Hernandez
Publikováno v: IEEE Sensors Journal. 20:3356-3365
Indoor person tracking attracts a considerable effort from the research community as it allows to perform Human Behaviour Analysis tasks, where wireless technologies play a key role. However, complex signal propagation effects in indoor environments
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::18a1313b97773f480217bc45e712e417
https://doi.org/10.1109/jsen.2019.2958201
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5
A Multimodal End-to-End Deep Learning Architecture for Music Popularity Prediction
Autor: Alberto Belmonte-Hernandez, David Martin-Gutierrez, Federico Alvarez Garcia, Gustavo Hernandez Penaloza
Publikováno v: IEEE Access, Vol 8, Pp 39361-39374 (2020)
The continuous evolution of multimedia applications is fostering applied research in order to dynamically enhance the services provided by platforms such as Spotify , Lastfm , or Billboard. Thus, innovative methods for retrieving specific information
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2491a4ddddb190333b87b1144af24b9
https://doi.org/10.1109/access.2020.2976033
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6
SWiBluX: Multi-Sensor Deep Learning Fingerprint for Precise Real-Time Indoor Tracking
Autor: David Martin Gutierrez, Federico Alvarez, Gustavo Hernandez-Penaloza, Alberto Belmonte-Hernandez
Publikováno v: IEEE Sensors Journal. 19:3473-3486
Indoor/outdoor localization topic has gained a significant research interest due to the wide range of potential applications. Commonly, the Fingerprinting methods for spatial characterization of the environments monitored are employed in deterministi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::29690776909c9525153bcd558ae31d0c
https://doi.org/10.1109/jsen.2019.2892590
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7
A novel framework for physical therapy rehabilitation monitoring and assessment in Parkinson disease patients using depth information
Autor: Gustavo Hernandez-Penaloza, Thomas Theodoridis, Vassilios Solachidis, Laura Carrasco, Marta Burgos González, Alberto Belmonte-Hernandez, Petros Daras, Nicholas Vretos, Federico Alvarez, Jennifer Jiménez Ramos
Publikováno v: PETRA
Parkinson Disease (PD) is a type of neurodegenerative disease mainly characterised by the progressive declination of motor and cognitive skills. Physical therapies have been shown to be helpful to mitigate the degenerative impact of PD patients by st
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d18f800ab028faa211836ef5f89f1630
https://doi.org/10.1145/3316782.3322759
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8
Behavior Analysis through Multimodal Sensing for Care of Parkinson's and Alzheimer's Patients
Autor: Federico Alvarez, Dario Dotti, V. Solachidis, Mirela Popa, Marcos Quintana, Gustavo Hernandez-Penaloza, Stylianos Asteriadis, Petros Daras, Thomas Theodoridis, Nicholas Vretos, Alberto Belmonte-Hernandez
Publikováno v: Ieee Multimedia, 25(1), 14-25. IEEE Computer Society
IEEE MultiMedia
The analysis of multimodal data collected by innovative imaging sensors, Internet of Things devices, and user interactions can provide smart and automatic distant monitoring of Parkinson’s and Alzheimer’s patients and reveal valuable insights for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00b82dab8fc7d482bdd0177d6f762429
https://cris.maastrichtuniversity.nl/en/publications/2fe68d0f-1846-4bb0-b294-b9de2e81988b
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9
Person Tracking Association Using Multi-modal Systems
Autor: Thomas Theodoridis, Vassilios Solachidis, Alberto Belmonte-Hernandez, Nicholas Vretos, Federico Alvarez, Giuseppe Conti, Petros Daras, Gustavo Hernandez-Penaloza
Publikováno v: IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017) | IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017) | 29/08/2017-01/09/2017 | Lecce, Italy
Archivo Digital UPM
Universidad Politécnica de Madrid
AVSS
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
In this paper, a novel multi-modal method for person identification in indoor environments is presented. This approach relies on matching the skeletons detected by a Kinect v2 device with wearable devices equipped with inertial sensors. Movement feat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75b5290341631fc5dc6245c91e5ac826
https://zenodo.org/record/1071638
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10
Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform
Autor: Petros Daras, Stelios Asteriadis, Vassilis Solachidis, Mirela Popa, Alberto Belmonte-Hernandez, Federico Alvarez, Nicholas Vretos, Triana Mariscal, Dario Dotti
Publikováno v: Proceedings of 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2017 | 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) | 29/08/2017-01/09/2017 | Lecce (Italia)
2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on, 1-6
STARTPAGE=1;ENDPAGE=6;TITLE=Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on
AVSS
Archivo Digital UPM
Universidad Politécnica de Madrid
The analysis of multimodal data collected by innovative imaging sensors, Internet of Things (IoT) devices and user interactions, can provide smart and automatic distant monitoring of patients and reveal valuable insights for early detection and/or pr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad4bfc47580fe58cf24933e69e153a1f
https://oa.upm.es/50821/
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