• Lexical complexity prediction and lexical simplification for catalan and spanish: resource creation, quality assessment, and ethical considerations

  Saggion, Horacio; Bott, Stefan Markus; Szasz, Sandra; Pérez, Nelson; Calderón Ramírez, Saúl; Solís, Martín (ACL (Association for Computational Linguistics), 2024)

  Automatic lexical simplification is a task to substitute lexical items that may be unfamiliar and difficult to understand with easier and more common words. This paper presents the description and analysis of two novel ...
• The BEA 2024 shared task on the Multilingual Lexical Simplification Pipeline

  Shardlow, Matthew; Alva-Manchego, Fernando; Batista-Navarro, Riza; Bott, Stefan Markus; Calderón Ramírez, Saúl; Cardon, Rémi; Hayakawa, Akio; Saggion, Horacio (ACL (Association for Computational Linguistics), 2024)

  We report the findings of the 2024 Multilingual Lexical Simplification Pipeline shared task. We released a new dataset comprising 5,927 instances of lexical complexity prediction and lexical simplification on common contexts ...
• Studying the flow experience in computer-supported collaborative learning: a study with pyramidApp

  Lobo-Quintero, René; Sánchez Reina, Jesús Roberto; Hernández-Leo, Davinia (Society for Learning Analytics Research, 2024)

  Computer-Supported Collaborative Learning (CSCL) is recognized as an effective methodology for fostering social interaction mediated by technology in ways that potentially trigger learning. The successful implementation ...
• Music-enhanced emotion identification of facial emotions in autistic spectrum disorder children: a pilot EEG study

  Ramírez, Rafael,1966-; Matamoros, Elisabet; Hernández-Leo, Davinia; Mirabel, Júlia; Sánchez, Elisabet; Escude, Núria (MDPI, 2022)

  The Autistic Spectrum Disorder (ASD) is characterized by a difficulty in expressing and interpreting others’ emotions. In particular, people with ASD have difficulties when interpreting emotions encoded in facial expressions. ...
• Repertoire-specific vocal pitch data generation for improved melodic analysis of carnatic music

  Plaja-Roglans, Genís; Nutall, Thomas; Pearson, Lara; Serra, Xavier; Miron, Marius (International Society for Music Information Retrieval (ISMIR), 2023)

  Deep Learning methods achieve state-of-the-art in many tasks, including vocal pitch extraction. However, these methods rely on the availability of pitch track annotations without errors, which are scarce and expensive to ...
• Electrical conductivity measurement in human liver tissue: assessment on normal vs. tumor tissue and under in vivo vs. ex vivo conditions

  Sarreshtehdari, Amirhossein; García Sánchez, Tomás; Sánchez Velázquez, Patricia, 1985-; Ielpo, Benedetto; Berjano, Enrique J.; Villamonte, Maria; Moll, Xavier; Burdío Pinilla, Fernando (MDPI, 2024)

  Background: This study evaluated electrical conductivity in human liver tissue in the 3-1000 kHz frequency range to compare normal versus tumor tissues under in vivo versus ex vivo conditions. Methods: Previous informed ...
• Investigating time-line-based music traditions with field recordings: a case study of Candomblé bell patterns

  Maia, Lucas S.; Namballa, Richa; Rocamora, Martín; Fuentes, Magdalena; Guedes, Carlos (International Society for Music Information Retrieval (ISMIR), 2024)

  We introduce a series of transdisciplinary corpus studies aimed at investigating cross-cultural trends in time-line-based music traditions. Our analyses concentrate on a compilation of field recordings from the Centre de ...
• Heterogeneous sound classification with the Broad Sound Taxonomy and Dataset

  Anastasopoulou, Panagiota; Torrey, Jessica; Serra, Xavier; Font, Frederic (Detection and Classification of Acoustic Scenes and Events (DCASE), 2024)

  Automatic sound classification has a wide range of applications in machine listening, enabling context-aware sound processing and understanding. This paper explores methodologies for automatically classifying heterogeneous ...
• The augmented assessment library: a learning community for inclusive education

  Sánchez Reina, Jesús Roberto; Hernández Leo, Davinia; El Aadmi Laamech, Khadija (Athens Lifelong Learning Institute, 2023)

  The rise of digitization in school has led to a restructuring of pedagogies in the beneft of inclusive education. The use of screens, internet access, and the support of applications, to mention a few examples, facilitate ...
• Saraga Audiovisual: a large multimodal open data collection for the analysis of carnatic music

  Shankar, Adithi; Plaja-Roglans, Genís; Nuttall, Thomas; Rocamora, Martín; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2024)

  Carnatic music is a style of South Indian art music whose analysis using computational methods is an active area of research in Music Information Research (MIR). A core, open dataset for such analysis is the Saraga dataset, ...
• Automatic estimation of singing voice musical dynamics

  Narang, Jyoti; Tamer, Nazif Can; Vega, Viviana De La; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2024)

  Musical dynamics form a core part of expressive singing voice performances. However, automatic analysis of musical dynamics for singing voice has received limited attention partly due to the scarcity of suitable datasets ...
• Prediction of pleasantness and eventfulness perceptual sound qualities in urban soundscapes

  Sagasti, Amaia; Rocamora, Martín; Font, Frederic (DCASE, 2024)

  The acoustic environment induces emotions in human listeners. To describe such emotions, ISO-12913 defines pleasantness and eventfulness as orthogonal properties that characterise urban soundscapes. In this paper, we ...
• Towards assessing data replication in music generation with music similarity metrics on raw audio

  Batlle-Roca, Roser; Liao, Wei-Hsiang; Serra, Xavier; Mitsufuji, Yuki; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2024)

  Recent advancements in music generation are raising multiple concerns about the implications of AI in creative music processes, current business models and impacts related to intellectual property management. A relevant ...
• A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging

  Peng, Peng; Lekadir, Karim, 1977-; Gooya, Ali; Shao, Ling; Petersen, Steffen E.; Frangi Caregnato, Alejandro (Springer, 2016)

  Cardiovascular magnetic resonance (CMR) has become a key imaging modality in clinical cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac chambers and great vessels. A wide range of ...
• Cartilaginous endplates: A comprehensive review on a neglected structure in intervertebral disc research

  Crump, Katherine B.; Alminnawi, Ahmad; Bermúdez-Lekerika, Paola; Compte, Roger; Gualdi, Francesco; McSweeney, Terence; Muñoz-Moya, Estefano; Nüesch, Andrea; Geris, Liesbet; Dudli, Stefan; Karppinen, Jaro; Noailly, Jérôme; Le Maitre, Christine L.; Gantenbein, Benjamin (Wiley, 2023)

  The cartilaginous endplates (CEP) are key components of the intervertebral disc (IVD) necessary for sustaining the nutrition of the disc while distributing mechanical loads and preventing the disc from bulging into the ...
• Dutch-Cantonese bilinguals show segmental processing during sinitic language production

  Timmer, Kalinka; Chen, Yiya (Frontiers, 2017)

  This study addressed the debate on the primacy of syllable vs. segment (i.e., phoneme) as a functional unit of phonological encoding in syllabic languages by investigating both behavioral and neural responses of Dutch-Cantonese ...
• Globally, songs and instrumental melodies are slower and higher and use more stable pitches than speech: a registered report

  Ozaki, Yuto; Rocamora, Martín; Gómez-Cañon, Juan Sebastián; Savage Patrick E. (American Association for the Advancement of Science (AAAS), 2024)

  Both music and language are found in all known human societies, yet no studies have compared similarities and differences between song, speech, and instrumental music on a global scale. In this Registered Report, we analyzed ...
• Evaluating neural networks architectures for spring reverb modelling

  Papaleo, Francesco; Lizarraga-Seijas, Xavier; Font, Frederic (2024)

  Reverberation is a key element in spatial audio perception, historically achieved with the use of analogue devices, such as plate and spring reverb, and in the last decades with digital signal processing techniques that ...
• Overview of the CLEF-2024 CheckThat! Lab: check-worthiness, subjectivity, persuasion, roles, authorities, and adversarial robustness

  Barrón Cedeño, Alberto; Alam, Firoj; Struß, Julia Maria; Nakov, Preslav; Chakraborty, Tanmoy; Elsayed, Tamer; Przybyła, Piotr; Caselli, Tommaso; San Martino, Giovanni da; Haouari, Fatima; Hasanain, Maram; Li, Chengkai; Piskorski, Jakub; Ruggeri, Federico; Song, Xingyi (Springer, 2024)

  We describe the seventh edition of the CheckThat! lab, part of the 2024 Conference and Labs of the Evaluation Forum (CLEF). Previous editions of CheckThat! focused on the main tasks of the information verification pipeline: ...
• Door-to-door transportation services for reduced mobility population: a descriptive analytics of the city of Barcelona

  Portell, Laura; Morera, Sergi; Ramalhinho-Lourenço, Helena (MDPI, 2022)

  A central issue in modern cities is providing inclusive transportation services for people with reduced mobility. In particular, Barcelona is offering a public door-to-door pickup transportation service complementary to ...

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