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Departament de Tecnologies de la Informació i les Comunicacions

Departament de Tecnologies de la Informació i les Comunicacions

 

Documents de recerca, en accés obert, com ara articles de revista, llibres, comunicacions, ponències o posters a jornades i congressos, etc., del Departament de Tecnologies de la Informació i de les Comunicacions de la UPF.

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  • Gómez Villa, Alexander; Martín, Adrian; Vazquez-Corral, Javier; Bertalmío, Marcelo; Malo, Jesús (Elsevier, 2020)
    The study of visual illusions has proven to be a very useful approach in vision science. In this work we start by showing that, while convolutional neural networks (CNNs) trained for low-level visual tasks in natural ...
  • Ramírez, Rafael,1966-; Blanco, Angel David (ACM Association for Computer Machinery, 2017)
    We present a study of the effects of feedback technologies on the learning process of novice violin students. Twenty-one subjects participated in our experiment, divided into two groups: Beginners (participants with no ...
  • Schaper, Marie-Monique; Malinverni, Laura; Parés, Narcís, 1966- (ACM Association for Computer Machinery, 2014)
    The paper presents an exploratory study aimed toward including children in the design of an Interactive Learning Environment based on Full-Body Interaction. The study proposes a method based on using Participatory Design ...
  • Dabirnia, Mehdi; Duman, Tolga M. (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    A two-user interference channel with energy harvesting transmitters, each equipped with a finite battery, is considered. Achievable rate regions (ARRs) considering independent and identically distributed Shannon strategies ...
  • Crowell, Ciera; Sayis, Batuhan; Benitez, Juan Pablo; Parés, Narcís, 1966- (Mary Ann Liebert, Inc, 2020)
    Despite a proliferation in digital intervention tools for autism, many studies lack comparison with standard intervention tools, and are not evaluated with objective and standardized measures. In this article, we present ...
  • Crowell, Ciera; Mora-Guiard, Joan; Parés, Narcís, 1966- (Elsevier, 2019)
    Background Collaboration is an interpersonal process which builds upon social skills and mutual understanding. Due to characteristic social challenges, children with Autism Spectrum Disorders may benefit from structured ...
  • Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders, 1973- (AI Access Foundation, 2018)
    Finite State Controllers (FSCs) are an effective way to compactly represent sequential plans. By imposing appropriate conditions on transitions, FSCs can also represent generalized plans (plans that solve a range of planning ...
  • Leguia, Marc G.; Andrzejak, Ralph Gregor; Rummel, Christian; Fan, Joline M.; Mirro, Emily A.; Tcheng, Thomas K.; Rao, Vikram R.; Baud, Maxime O. (American Medical Association, 2021)
    IMPORTANCE Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our knowledge, the prevalence and patterns of seizure cycles are unknown. OBJECTIVE To establish the prevalence, strength, and ...
  • Kane, David; Bertalmío, Marcelo (Association for Research in Vision and Ophthalmology (ARVO), 2019)
    In 1986, Paul Whittle investigated the ability to discriminate between the luminance of two small patches viewed upon a uniform background. In 1992, Paul Whittle asked subjects to manipulate the luminance of a number of ...
  • Papatzikis, Efthymios; Zeba, Fathima; Särkämö, Teppo; Ramírez, Rafael,1966-; Grau-Sánchez, Jennifer; Tervaniemi, Mari; Loewy, Joanne (Frontiers, 2020)
    The COVID-19 disease and the systemic responses to it has impacted lives, routines and procedures at an unprecedented level. While medical care and emergency response present immediate needs, the implications of this ...
  • Dalmazzo, David; Waddell, George; Ramírez, Rafael,1966- (Frontiers, 2021)
    Repetitive practice is one of the most important factors in improving the performance of motor skills. This paper focuses on the analysis and classification of forearm gestures in the context of violin playing. We recorded ...
  • Rafael Palou, Xavier; Aubanell, Anton; Bonavita, Ilaria; Ceresa, Mario; Piella Fenoy, Gemma; Ribas, Vicent; González Ballester, Miguel Ángel, 1973- (Elsevier, 2020)
    Lung cancer follow-up is a complex, error prone, and time consuming task for clinical radiologists. Several lung CT scan images taken at different time points of a given patient need to be individually inspected, looking ...
  • Yesiler, Furkan; Serrà Julià, Joan; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    The version identification (VI) task deals with the automatic detection of recordings that correspond to the same underlying musical piece. Despite many efforts, VI is still an open problem, with much room for improvement, ...
  • Ramires, António; Chandna, Pritish; Favory, Xavier; Gómez Gutiérrez, Emilia, 1975-; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    We present a deep neural network-based methodology for synthesising percussive sounds with control over high-level timbral characteristics of the sounds. This approach allows for intuitive control of a synthesizer, enabling ...
  • Blaauw, Merlijn; Bonada, Jordi, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    We propose a sequence-to-sequence singing synthesizer, which avoids the need for training data with pre-aligned phonetic and acoustic features. Rather than the more common approach of a content-based attention mechanism ...
  • Chandna, Pritish; Blaauw, Merlijn; Bonada, Jordi, 1973-; Gómez Gutiérrez, Emilia, 1975- (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    We present a deep learning based methodology for extracting the singing voice signal from a musical mixture based on the underlying linguistic content. Our model follows an encoder-decoder architecture and takes as input ...
  • Alonso-Jiménez, Pablo; Bogdanov, Dmitry; Pons Puig, Jordi; Serra, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Essentia is a reference open-source C ++ /Python library for audio and music analysis. In this work, we present a set of algorithms that employ TensorFlow in Essentia, allow predictions with pre-trained deep learning models, ...
  • Wanner, Leo; Domínguez Bajo, Mónica; Soler Company, Juan (ACL (Association for Computational Linguistics), 2020)
    This paper introduces ThemePro, a toolkit for the automatic analysis of thematic progression. Thematic progression is relevant to natural language processing (NLP) applications dealing, among others, with discourse structure, ...
  • Oramas, Sergio; Sordo, Mohamed (A-R Editions, 2016)
    Musicological knowledge is spread between the lines of thousands of texts stored in hundreds of music libraries. Technology, and more recently semantic technologies, may play a key role in the way information is retrieved. ...
  • Ferraro, Andrés; Jannach, Dietmar; Serra, Xavier (ACM Association for Computer Machinery, 2020)
    Session-based recommendation is a problem setting where the task of a recommender system is to make suitable item suggestions based only on a few observed user interactions in an ongoing session. The lack of long-term ...

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