• Autonomous stock counting based on a stigmergic algorithm for multi-robot systems

  Casamayor-Pujol, Victor; Morenza-Cinos, Marc; Gastón, Bernat; Pous Andrés, Rafael (Elsevier, 2020)

  Maintaining an accurate and close to real time inventory of items is crucial for an efficient Supply Chain Management (SCM), which is one of the main pillars of successful business decisions in the retail market. Due to ...
• A synthetic data generator for online social network graphs

  Nettleton, David F. (Springer, 2016)

  Two of the difficulties for data analysts of online social networks are (1) the public availability of data and (2) respecting the privacy of the users. One possible solution to both of these problems is to use synthetically ...
• Combining K-MEANS and a genetic algorithm through a novel arrangement of genetic operators for high quality clustering

  Islam, Zahidul; Estivill Castro, Vladimir; Rahman, Anisur; Bossomaier, Terry (Elsevier, 2018)

  Knowledge discovery from data can be broadly categorized into two types: supervised and unsupervised. A supervised knowledge discovery process such as classification by decision trees typically requires class labels which ...
• Visual information flow in Wilson–Cowan networks

  Gómez Villa, Alexander; Bertalmío, Marcelo; Malo, Jesús (American Physiological Society, 2020)

  In this paper, we study the communication efficiency of a psychophysically tuned cascade of Wilson–Cowan and divisive normalization layers that simulate the retina-V1 pathway. This is the first analysis of Wilson–Cowan ...
• Lifespan associated global patterns of coherent neural communication

  Sahoo, Bikash; Pathak, Anagh; Deco, Gustavo; Banerjee, Arpan; Roy, Dipanjan (Elsevier, 2020)

  Healthy ageing is accompanied by changes to spontaneous electromagnetic oscillations. At the macroscopic scale, previous studies have quantified the basic features, e.g., power and frequencies in rhythms of interest from ...
• A neuronal theory of sequential economic choice

  Hayden, Benjamin Y.; Moreno Bote, Rubén (SAGE Publications, 2018)

  Results of recent studies point towards a new framework for the neural bases of economic choice. The principles of this framework include the idea that evaluation is limited to a single option within the focus of attention ...
• Mucosa: a music content semantic annotator

  Celma Herrada, Òscar; Massaguer, Jordi; Cano Vila, Pedro; Gómez Gutiérrez, Emilia, 1975-; Gouyon, Fabien; Koppenberger, Markus; García, David (International Society for Music Information Retrieval (ISMIR), 2005)

  MUCOSA (Music Content Semantic Annotator) is an environment for the annotation and generation of music metadata at different levels of abstraction. It is composed of three tiers: an annotation client that deals with ...
• Towards teacher orchestration load-aware teacher-facing dashboards

  Amarasinghe, Ishari; Vujovic, Milica; Hernández Leo, Davinia (CEUR Workshop Proceedings, 2020)

  In this workshop paper, we report a study conducted to investigate the use of tracking technologies to measure the teachers’ orchestration load when conducting colocated collaborative learning activities. We distinguish ...
• Música i persuasió

  Herrera Boyer, Perfecto, 1964- (Indigestió Musical, 2009)
• Música y persuasión

  Herrera Boyer, Perfecto, 1964- (Indigestió Musical, 2009)
• There are places I remember: personalized automatic creation ofmusic playlists for Alzheimer's patients

  Navarro, Felipe L.; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975- (2014)

  We present here the basic algorithm and initial evaluation of a system that creates personalized playlists for specific patients. First, a musical anamnesis form is used to elicit relevant information about the musical ...
• k-Best hidden Markov model decoding for unit selection in concatenative sound synthesis

  Nuanáin, Cárthach Ó; Jordà Puig, Sergi; Herrera Boyer, Perfecto, 1964- (Springer, 2018)

  Concatenative synthesis is a sample-based approach to sound creation used frequently in speech synthesis and, increasingly, in musical contexts. Unit selection, a key component, is the process by which sounds are chosen ...
• Drum rhythm spaces: from global models to style-specific maps

  Gómez Marín, Daniel; Jordà Puig, Sergi; Herrera Boyer, Perfecto, 1964- (Springer, 2018)

  This paper presents two experiments carried out to find rhythm descriptors that allow the organization of drum patterns in spaces resembling subjects similarity sensations. We revisit rhythm spaces published by Alf Gabrielsson ...
• A multi-profile method for key estimation in EDM

  Faraldo Pérez, Ángel; Jordà Puig, Sergi; Herrera Boyer, Perfecto, 1964- (Audio Engineering Society, 2017)

  Key detection in electronic dance music is important for producers and DJ’s who want to mix their tracks harmonically or organise their music collection by tonal content. In this paper, we present an algorithm that improves ...
• Integrating lexical and prosodic features for automatic paragraph segmentation

  Lai, Catherine; Farrús, Mireia; Moore, Johanna D. (Elsevier, 2020)

  Spoken documents, such as podcasts or lectures, are a growing presence in everyday life. Being able to automatically identify their discourse structure is an important step to understanding what a spoken document is about. ...
• Motion capture as an instrument in multimodal collaborative learning analytics

  Vujovic, Milica; Tassani, Simone; Hernández Leo, Davinia (Springer, 2019)

  In this paper, we describe an exploratory study where we investigate the possibilities of motion capture system as an instrument to consider in multi-modal analyses of face-to-face collaborative learning scenarios. The ...
• OlloBot - Towards a text-based Arabic health conversational agent: evaluation and results

  Fadhil, Ahmed; AbuRa’ed, Ahmed (ACL (Association for Computational Linguistics), 2019)

  We introduce OlloBot, an Arabic conver-sational agent that assists physicians andsupports patients with the care process.It doesn’t replace the physicians, insteadprovides health tracking and support andassists ...
• ClassMood App: a classroom orchestration tool for identifying and influencing student moods

  Beardsley, Marc; Vujovic, Milica; Portero-Tresserra, Marta; Hernández Leo, Davinia (Springer, 2019)

  Certain affective states are less conducive to learning than others. Moreover, results from studies suggest that a classroom’s social-emotional climate affects student motivation and performance; and that moods can be ...
• Individual differences in hippocampal volume as a function of BMI and reward sensitivity

  Parcet, Maria-Antònia; Adrián Ventura, Jesús; Costumero, Víctor; Ávila, César (Frontiers, 2020)

  Sensitivity to reward is a personality trait that predisposes a person to several addictive behaviors, including the presence of different risky behaviors that facilitates uncontrolled eating. However, the multifactorial ...
• Challenges for coonnecting citizens and smart cities: ICT, e-governance and blockchain

  Oliveira, Thays A.; Oliver Riera, Miquel; Ramalhinho-Lourenço, Helena (MDPI, 2020)

  The way citizens interact with cities affects overall life quality. Their participation in social decisions is of paramount importance for helping on public decisions that affect governance, regulation and education. This ...

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