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Visualitzant Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per títol

Visualitzant Congressos (Departament de Tecnologies de la Informació i les Comunicacions) per títol

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  • Sanromà, Gerard; Andrea, Víctor; Benkarim, Oualid M.; Manjón, José V.; Coupé, Pierrick; Camara, Oscar; Piella Fenoy, Gemma; González Ballester, Miguel Ángel, 1973- (Springer, 2017)
    Alzheimer’s disease (AD) is characterized by a progressive decline in the cognitive functions accompanied by an atrophic process which can already be observed in the early stages using magnetic resonance images (MRI). ...
  • Ramíırez-Cifuentes, Diana; Mayans Yern, Marc; Freire, Ana (Springer, 2018)
    This paper proposes an approach for the early detection of anorexia nervosa (AN) on social media. We present a machine learning approach that processes the texts written by social media users. This method relies on a set ...
  • Michaelides, Michael; Adame, Toni; Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    The Industrial Internet of Things (IoT) has gained a lot of momentum thanks to the introduction of Time Slotted Channel Hopping (TSCH) in IEEE 802.15.4. At last, we can enjoy collision-free, low-latency wireless communication ...
  • Albó, Laia; Hernández Leo, Davinia (Springer, 2018)
    This demonstration introduces ILDE2/edCrumble, an online learning design platform that allows teachers the creation of learning designs (LDs) with the support of data analytics. ILDE2/edCrumble is built on top of the ...
  • Meinhardt Llopis, Enric (Institute of Electrical and Electronics Engineers (IEEE), 2008)
    We propose an edge detector based on the selection of well/ncontrasted pieces of level lines, following the proposal of/nDesolneux-Moisan-Morel (DMM) [1]. The DMM edge detector/nhas the problem of over-representation, that ...
  • Galí Pérez, Olga; Sayis, Batuhan; Parés, Narcís, 1966- (ACM Association for Computer Machinery, 2021)
    The present study analyses the effectiveness of a mixed reality (MR) face-to-face full-body system to foster social interaction behaviors (SIBs) in a child with ASC and a play partner, a child without ASC (non-ASC). An MR ...
  • Odakura, Valguima; Amarasinghe, Ishari; Hernández Leo, Davinia; Sánchez Reina, Jesús Roberto; Theophilou, Emily; Lobo Quintero, René (Springer, 2022)
    In this study we investigate the benefits that debriefing can add to collaborative Pyramid script with open-ended tasks. The openended task allows students to produce multiple possible solutions to a given problem and ...
  • Proskurnia, Julia; Mavlyutov, Ruslan; Castillo, Carlos; Aberer, Karl; Cudré-Mauroux, Philippe (ACM Association for Computer Machinery, 2017)
    Automatically extracting information from social media is challenging given that social content is often noisy, ambiguous, and inconsistent. However, as many stories break on social channels first before being picked up ...
  • Comas, Joaquim; Ruiz Ovejero, Adrià; Sukno, Federico Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    We present a lightweight neural model for remote heart rate estimation focused on the efficient spatio-temporal learning of facial photoplethysmography (PPG) based on i) modelling of PPG dynamics by combinations of multiple ...
  • Dovelos, Konstantinos; Assimonis, Stylianos D.; Ngo, Hien Quoc; Bellalta, Boris; Matthaiou, Michail (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Intelligent reflecting surface (IRS)-assisted wireless communication is widely deemed a key technology for 6G systems. The main challenge in deploying an IRS-aided terahertz (THz) link, though, is the severe propagation ...
  • Oramas, Sergio; Espinosa-Anke, Luis; Sordo, Mohamed; Saggion, Horacio; Serra, Xavier (European Language Resources Association, 2016)
    In this paper we present a gold standard dataset for Entity Linking (EL) in the Music Domain. It contains thousands of musical named entities such as Artist, Song or Record Label, which have been automatically annotated ...
  • Espinosa-Anke, Luis; Oramas, Sergio; Saggion, Horacio; Serra, Xavier (Springer, 2017)
    Music consumption habits as well as the Music market have changed dramatically due to the increasing popularity of digital audio and streaming services. Today, users are closer than ever to a vast number of songs, albums, ...
  • Aspis, Yaniv; Broda, Krysia; Lobo, Jorge; Russo, Alessandra (International Joint Conferences on Artificial Intelligence Organization, 2022)
    Neuro-symbolic reasoning approaches proposed in recent years combine a neural perception component with a symbolic reasoning component to solve a downstream task. By doing so, these approaches can provide neural networks ...
  • Albó, Laia; Beardsley, Marc; Martínez Moreno, Judit; Santos Rodríguez, Patrícia; Hernández Leo, Davinia (Springer, 2020)
    COVID-19 thrust teachers into emergency online pedagogy. Teachers had to rapidly digitize their practices. A week into compulsory online teaching, we captured a snapshot of teacher experiences to identify their impressions ...
  • Gutiérrez Páez, Nicolás Felipe; Gómez Cañón, Juan Sebastián; Porcaro, Lorenzo; Santos Rodríguez, Patrícia; Hernández Leo, Davinia; Gómez Gutiérrez, Emilia, 1975- (Springer, 2021)
    The understanding of the emotions in music has motivated research across diverse areas of knowledge for decades. In the field of computer science, there is a particular interest in developing algorithms to “predict” the ...
  • Theophilou, Emily; Schwarze, Veronica; Börsting, Johanna; Sánchez Reina, Jesús Roberto; Scifo, Lidia; Lomonaco, Francesco; Aprin, Farbod; Ognibene, Dimitri; Taibi, Davide; Hernández Leo, Davinia; Eimler, Sabrina (Springer, 2023)
    Social media platforms provide opportunities for users across the world to connect and communicate between them and engage into acts of social support and entertainment. Yet it can also bring negative consequences as it ...
  • Charisi, Vicky; Malinverni, Laura; Rubegni, Elisa; Schaper, Marie-Monique (ACM Association for Computer Machinery, 2020)
    The increasing presence of robotics, automated systems, and AI in everyday life is carrying important ethical and social implications for both those who design and develop them as well as for the users. Addressing these ...
  • Comas, Joaquim; Aspandi, Decky; Binefa i Valls, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    In recent years, affective computing and its applications have become a fast-growing research topic. Furthermore, the rise of deep learning has introduced significant improvements in the emotion recognition system compared ...
  • Pons Puig, Jordi; Nieto Caballero, Oriol; Prockup, Matthew; Schmidt, Erik M.; Ehmann, Andreas F.; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2018)
    The lack of data tends to limit the outcomes of deep learning research, particularly when dealing with end-to-end learning stacks processing raw data such as waveforms. In this study, 1.2M tracks annotated with musical ...
  • Lluís, Francesc; Pons, Jordi; Serra, Xavier (International Speech Communication Association (ISCA), 2019)
    Most of the currently successful source separation techniques use the magnitude spectrogram as input, and are therefore by default omitting part of the signal: the phase. To avoid omitting potentially useful information, ...

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