• Perceived effort for motor control and decision-making

  Cos, Ignasi (Public Library of Science (PLoS), 2017)

  How effort is internally quantified and how it influences both movement generation and decisions between potential movements are 2 difficult questions to answer. Physical costs are known to influence motor control and ...
• Estimation of Purkinje trees from electro-anatomical mapping of the left ventricle using minimal cost geodesics

  Cárdenes, Rubén; Sebastián Aguilar, Rafael, 1978-; Soto-Iglesias, David; Berruezo, Antonio; Camara, Oscar (Elsevier, 2015)

  The electrical activation of the heart is a complex physiological process that is essential for the understanding of several cardiac dysfunctions, such as ventricular tachycardia (VT). Nowadays, patient-specific activation ...
• Hemispheric asymmetries in repetition enhancement and suppression effects in the newborn brain

  Bouchon, Camillia; Nazzi, Thierry; Gervain, Judit (Public Library of Science (PLoS), 2015)

  The repeated presentation of stimuli typically attenuates neural responses (repetition suppression) or, less commonly, increases them (repetition enhancement) when stimuli are highly complex, degraded or presented under ...
• The affective slider: a digital self-assessment scale for the measurement of human emotions

  Betella, Alberto; Verschure, Paul F. M. J. (Public Library of Science (PLoS), 2016)

  Self-assessment methods are broadly employed in emotion research for the collection of subjective affective ratings. The Self-Assessment Manikin (SAM), a pictorial scale developed in the eighties for the measurement of ...
• Real-time drum accompaniment using transformer architecture

  Haki, Behzad; Nieto, Marina; Pelinski, Teresa; Jordà Puig, Sergi (AI Music Creativity, 2022)

  This paper presents a real-time drum generation system capable of accompanying a human instrumentalist. The drum generation model is a transformer encoder trained to predict a short drum pattern given a reduced rhythmic ...
• NeuralMidiFx: a wrapper template for deploying neural networks as VST3 plugins

  Haki, Behzad; Lenz, Julian; Jordà Puig, Sergi (AI Music Creativity, 2023)

  Proper research, development and evaluation of AI-based generative systems of music that focus on performance or composition require active user-system interactions. To include a diverse group of users that can properly ...
• Combining piano performance dimensions for score difficulty classification

  Ramoneda, Pedro; Jeong, Dasaem; Eremenko, Vsevolod; Tamer, Nazif Can; Miron, Marius; Serra, Xavier (Elsevier, 2024)

  Predicting the difficulty of playing a musical score is essential for structuring and exploring score collections. Despite its importance for music education, the automatic difficulty classification of piano scores is not ...
• Students’ generated text quality in a narrative-centered learning environment: effects of pre-collaboration, individual, and chat-interface submissions

  Theophilou, Emily; Lobo Quintero, René; Sánchez Reina, Jesús Roberto; Hernández Leo, Davinia (Springer, 2023)

  Narrative-centered Learning Environments (NcLE) offer a powerful tool for enhancing students’ learning through interactive experiences. The integration of open-ended questions in NcLEs encourages students to express their ...
• AI and narrative scripts to educate adolescents about social media algorithms: insights about AI overdependence, trust and awareness

  Theophilou, Emily; Lomonaco, Francesco; Donabauer, Gregor; Ognibene, Dimitri; Sánchez Reina, Jesús Roberto; Hernández Leo, Davinia (Springer, 2023)
• High expectations on phase locking: better quantifying the concentration of circular data

  Andrzejak, Ralph Gregor; Espinoso Palacín, Anaïs; García-Portugués, Eduardo; Pewsey, Arthur; Epifanio, Jacopo; Leguia, Marc G.; Schindler, Kaspar A. (American Institute of Physics (AIP), 2023)

  The degree to which unimodal circular data are concentrated around the mean direction can be quantified using the mean resultant length, a measure known under many alternative names, such as the phase locking value or the ...
• PYWDF: an open source library for prototyping and simulating wave filter circuits in Python

  Anthon, Gustav; Lizarraga Seijas, Xavier; Font Corbera, Frederic (Aalborg University Copenhagen, 2023)

  This paper introduces a new open-source Python library for the modeling and simulation of wave digital filter (WDF) circuits. The library, called pwydf, allows users to easily create and analyze WDF circuit models in a ...
• Towards soccer pass feasibility maps: the role of players’ orientation

  Arbués Sangüesa, Adrià; Martin, Adrian; Fernández, Javier; Haro Ortega, Gloria; Ballester, Coloma (Taylor & Francis, 2021)

  Once player tracking has been established as one of the main data sources in soccer, many challenges have emerged for data scientists, who attempt to recognize patterns from 2D trajectories in order to build tools that ...
• Designing affirmative action policies under uncertainty

  Hertweck, Corinna; Castillo, Carlos; Mathioudakis, Michael (Society for Learning Analytics Research, 2022)

  We study university admissions under a centralized system that uses grades and standardized test scores to match applicants to university programs. In the context of this system, we explore affirmative action policies that ...
• University students’ preference for flexible teaching models that foster constructivist learning practices

  Noguera, Ingrid; Albó, Laia; Beardsley, Marc (Australasian Society for Computers in Learning in Tertiary Education, 2022)

  In recent years, universities have intensified their use of technologies and implemented various modes of flexible teaching. This study sought to demonstrate that students prefer flipped learning with combined forms of ...
• Strength-dependent perturbation of whole-brain model working in different regimes reveals the role of fluctuations in brain dynamics

  Sanz Perl, Yonatan; Escrichs, Anira; Tagliazucchi, Enzo; Kringelbach, Morten L.; Deco, Gustavo (Public Library of Science (PLoS), 2022)

  Despite decades of research, there is still a lack of understanding of the role and generating mechanisms of the ubiquitous fluctuations and oscillations found in recordings of brain dynamics. Here, we used whole-brain ...
• Edge-based runtime verification for the Internet of Things

  Tsigkanos, Christos; Bersani, Marcello M.; Frangoudis, Pantelis A.; Dustdar, Schahram (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  Complex distributed systems such as the ones induced by Internet of Things (IoT) deployments, are expected to operate in compliance to their requirements. This can be checked by inspecting events flowing throughout the ...
• 6G network AI architecture for everyone-centric customized services

  Yang, Yang; Dustdar, Schahram; Shu, Hongfeng (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to effectively address diverse user requirements ...
• Orchestrating networked machine learning applications using Autosteer

  Wen, Zhenyu; Hu, Haozhen; Yang, Renyu; Qian, Bian; Sham, Ringo W.H.; Rui, Sun; Xu, Jie; Patel, Pankesh; Rana, Omer; Dustdar, Schahram; Ranjan, Rajiv (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  A platform for orchestrating networked machine learning (ML) applications over distributed environments is described. ML applications are transformed into automated pipelines that manage the whole application lifecycle and ...
• Utilizing AI planning on the edge

  Murturi, Ilir; Egyed, Adam; Dustdar, Schahram (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  The convergence between AI planning techniques and the Internet of Things (IoT) can solve various operational and business challenges. However, IoT systems’ stringent requirements such as latency and scalability have ...
• Edge computing: the computing infrastructure for the smart megacities of the future

  Motlagh, Naser Hossein; Lovén, Lauri; Cao, Jacky; Liu, Xiaoli; Nurmi, Petteri; Dustdar, Schahram; Tarkoma, Sasu; Su, Xiang (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  This article contributes a research vision for using edge computing to deliver the computing infrastructure for emerging smart megacities, with use cases, key requirements, and reflections on the state of the art. We also ...

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