• Effectiveness of a mixed reality system in terms of social interaction behaviors in children with and without autism spectrum condition

  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 ...
• FastLAS: scalable inductive logic programming incorporating domain-specific optimisation criteria

  Law, Mark; Russo, Alessandra; Bertino, Elisa; Broda, Krysia; Lobo, Jorge (Association for the Advancement of Artificial Intelligence (AAAI), 2020)

  Inductive Logic Programming (ILP) systems aim to find a set of logical rules, called a hypothesis, that explain a set of examples. In cases where many such hypotheses exist, ILP systems often bias towards shorter solutions, ...
• Exemplar-based image inpainting using an affine invariant similarity measure

  Fedorov, Vadim; Arias Martínez, Pablo; Facciolo Furlan, Gabriele; Ballester, Coloma (Springer, 2016)

  Patch-based approaches are used in state-of-the-art methods for image inpainting. This paper presents a new method for exemplar-based image inpainting using transformed patches. The transformation is determined for each ...
• ECTS: enhanced centralized TSCH scheduling with packet aggregation for industrial IoT

  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 ...
• A virtual reality system for the simulation of neurodiversity

  López-Carral, Héctor; Blancas Muñoz, Maria; Mura, Anna; Omedas, Pedro; España-Cumellas, Àdria; Martínez Bueno, Enrique; Milliken, Neil; Moore, Paul; Haque, Leena; Gilroy, Sean; Verschure, Paul F. M. J. (Springer, 2021)

  Autism is a neurodevelopmental disorder characterized by deficits in social communication and repetitive patterns of behavior. Individuals affected by Autism Spectrum Disorder (ASD) may face overwhelming sensory ...
• BAF: an audio fingerprinting dataset for broadcast monitoring

  Cortès, Guillem; Ciurana, Alex; Molina, Emilio; Miron, Marius; Meyers, Owen; Six, Joren; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2022)

  Audio Fingerprinting (AFP) is a well-studied problem in music information retrieval for various use-cases e.g. content-based copy detection, DJ-set monitoring, and music excerpt identification. However, AFP for continuous ...
• Music representation learning based on editorial metadata from Discogs

  Alonso-Jiménez, Pablo; Serra, Xavier; Bogdanov, Dmitry (International Society for Music Information Retrieval (ISMIR), 2022)

  This paper revisits the idea of music representation learning supervised by editorial metadata, contributing to the state of the art in two ways. First, we exploit the public editorial metadata available on Discogs, an ...
• A diffusion-inspired training strategy for singing voice extraction in the waveform domain

  Plaja-Roglans, Genís; Miron, Marius; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2022)

  Notable progress in music source separation has been achieved using multi-branch networks that operate on both temporal and spectral domains. However, such networks tend to be complex and heavy-weighted. In this work, we ...
• MusAV: a dataset of relative arousal-valence annotations for validation of audio models

  Bogdanov, Dmitry; Lizarraga Seijas, Xavier; Alonso-Jiménez, Pablo; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2022)

  We present MusAV, a new public benchmark dataset for comparative validation of arousal and valence (AV) regression models for audio-based music emotion recognition. To gather the ground truth, we rely on relative judgments ...
• Violin etudes: a comprehensive dataset for f0 estimation and performance analysis

  Can Tamer, Nazif; Ramoneda, Pedro; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2022)

  Violin performance analysis requires accurate and robust f0 estimates to give feedback on the playing accuracy. Despite the recent advancements in data-driven f0 estimators, their application to performance analysis remains ...
• In search of Sañcāras: tradition-informed repeated melodic pattern recognition in carnatic music

  Nuttall, Thomas; Plaja-Roglans, Genís; Pearson, Lara; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2022)

  Carnatic Music is a South Indian art and devotional musical practice in which melodic patterns (motifs and phrases), known as sañcaras Å , play a crucial structural and expressive role. We demonstrate how the combination ...
• Bottlenecks and solutions for audio to score alignment research

  Morsi, Alia; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2022)

  Although audio to score alignment is a classic Music Information Retrieval problem, it has not been defined uniquely with the scope of musical scenarios representing its core. The absence of a unified vision makes it ...
• Embed2Sym: scalable neuro-symbolic reasoning via clustered embeddings

  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 ...
• Online symbolic learning of policies for explainable security

  Drozdov, Arthur; Law, Mark; Lobo, Jorge; Russo, Alessandra; Wilathgamuwage Don, Mercion (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Statistical Machine Learning (ML) has been proved to be an invaluable tool in many areas including privacy and security. On the other hand, recent advances in the field of Symbolic Learning have included novel scalable ...
• A security-constrained reinforcement learning framework for software defined networks

  Mudgerikar, Anand; Bertino, Elisa; Lobo, Jorge; Verma, Dinesh (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Reinforcement Learning (RL) is an effective technique for building ‘smart’ SDN controllers because of its model-free nature and ability to learn policies online without requiring extensive training data. However, as RL ...
• Bots don’t vote, but they surely bother!: a study of anomalous accounts in a national referendum

  Graells-Garrido, Eduardo; Baeza Yates, Ricardo (ACM Association for Computer Machinery, 2022)

  The Web contains several social media platforms for exchange of ideas and content publishing. These platforms are used by people, but also by distributed agents known as bots. Bots have existed for decades, with many of ...
• H2O learn: hybrid and human-oriented learning: trustworthy and human-centered learning analytics (TaHCLA) for hybrid education

  Delgado Kloos, Carlos; Dimitriadis, Yannis; Hernández Leo, Davinia; Alario-Hoyos, Carlos; Martínez-Monés, Alejandra; Santos Rodríguez, Patrícia; Muñoz-Merino, Pedro J.; Asensio-Pérez, Juan I.; Vicent Safont, Lluís (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  This paper presents the H2O Learn (Hybrid and Human-Oriented Learning) project, a coordinated research project funded by the Spanish Research Agency, which just started in 2021 and will last for three years. The main goal ...
• Including students’ voices in the design of blended learning lesson plans

  Albó, Laia; Stylianidou, Nayia; Chalatsis, Xenofon; Dieckmann, Max; Hernández Leo, Davinia (Springer, 2021)

  Voice inclusive pedagogy urges teachers to consider how they will act to incorporate children’s voices within their teaching practice. In blended learning environments, students’ views in technology-enhanced classrooms are ...
• Awareness tools for monitoring socio-emotional regulation during collaboration in settings outside school without teacher supervision

  Velamazán, Mariano; Santos, Patricia; Hernández Leo, Davinia (Springer, 2021)

  There are several awareness tools developed to research how to support different phases and modes of socio-emotional regulation of learning. Most of these tools have focused on only one mode of regulation (self-, co- or ...
• Using transition learning to enhance mobile-controlled handover in decentralized future networks

  Platt, Steven; Demirel, Berkay; Oliver Riera, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Traditionally, resource management and capacity allocation has been controlled network-side in cellular deployment. As autonomicity has been added to network design, machine learning technologies have largely followed this ...

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