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Browsing Articles (Departament de Tecnologies de la Informació i les Comunicacions) by Subject "Machine learning"
Now showing items 1-20 of 36
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(Springer, 2024)In this paper, we study the effects of using an algorithm-based risk assessment instrument (RAI) to support the prediction of risk of violent recidivism upon release. The instrument we used is a machine learning version ...
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(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2012)Este trabajo constituye un primer intento de abordar la detección automática de sujetos elididos y de construcciones impersonales en portugués de Brasil, una tarea que no nos consta que se haya llevado a cabo previamente ...
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(Frontiers, 2016)Expert musicians introduce expression in their performances by manipulating sound properties such as timing, energy, pitch, and timbre. Here, we present a data driven computational approach to induce expressive performance ...
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(Taylor & Francis, 2016)We present a machine learning approach to automatically generate expressive (ornamented) jazz performances from un-expressive music scores. Features extracted from the scores and the corresponding audio recordings performed ...
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(MDPI, 2017)We recently presented a new model for singing synthesis based on a modified version of the WaveNet architecture. Instead of modeling raw waveform, we model features produced by a parametric vocoder that separates the ...
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(Karger (S. Karger AG), 2018)Current dialysis devices are not able to react when unexpected changes occur during dialysis treatment or to learn about experience for therapy personalization. Furthermore, great efforts are dedicated to develop miniaturized ...
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(Frontiers, 2019)The automatic assessment of music performance has become an area of increasing interest due to the growing number of technology-enhanced music learning systems. In most of these systems, the assessment of musical performance ...
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(Frontiers, 2019)Gestures in music are of paramount importance partly because they are directly linked to musicians' sound and expressiveness. At the same time, current motion capture technologies are capable of detecting body motion/gestures ...
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(Mary Ann Liebert, Inc, 2016)Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than ...
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(Ohio State University School of Music, 2008)The automatic analysis of large musical corpora by means of computational models overcomes some limitations of manual analysis, and the unavailability of scores for most existing music makes necessary to work with audio ...
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(Elsevier, 2020)Enterprise Wireless Local Area Networks (WLANs) consist of multiple Access Points (APs) covering a given area. In these networks, interference is mitigated by allocating different channels to neighboring APs. Besides, ...
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(JMIR Publications, 2020)Background: Suicide risk assessment usually involves an interaction between doctors and patients. However, a significant number of people with mental disorders receive no treatment for their condition due to the limited ...
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(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2017)En este artículo presentamos el primer detector de la Unidad Central (UC) de resúmenes científicos en euskera basado en técnicas de aprendizaje automático. Después de segmentar el texto en unidades de discurso elementales, ...
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(Institute of Electrical and Electronics Engineers (IEEE), 2021)Modeling various aspects that make a music piece unique is a challenging task, requiring the combination of multiple sources of information. Deep learning is commonly used to obtain representations using various sources ...
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(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2011)This paper presents an analysis of the errors of a machine learning method that allow us to propose changes to improve it in future developments. The evaluated system detects Spanish subject ellipsis and yields an accuracy ...
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(Springer, 2020)In this paper we investigate risk prediction of criminal re-offense among juvenile defendants using general-purpose machine learning (ML) algorithms. We show that in our dataset, containing hundreds of cases, ML models ...
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(Institute of Electrical and Electronics Engineers (IEEE), 2020)Lots of hopes have been placed on machine learning (ML) as a key enabler of future wireless networks. By taking advantage of large volumes of data, ML is expected to deal with the ever-increasing complexity of networking ...
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(IOP Publishing Ltd., 2019)Objective. Somatic symptom disorder (SSD) is a reflection of medically unexplained physical symptoms that lead to distress and impairment in social and occupational functioning. SSD is phenomenologically diagnosed and its ...
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(Frontiers, 2024)Introduction: Individuals in the midst of a mental health crisis frequently exhibit instability and face an elevated risk of recurring crises in the subsequent weeks, which underscores the importance of timely intervention ...
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(Elsevier, 2020)Cardiac imaging is a crucial component in the management of patients with heart disease, and as such it influences multiple, inter-related parts of the clinical workflow: physician-patient contact, image acquisition, image ...
Now showing items 1-20 of 36
