Zobrazeno 1 - 10
of 315
pro vyhledávání: '"Luz Saturnino"'
Autor:
Tao, Fuxiang, Mirheidari, Bahman, Pahar, Madhurananda, Young, Sophie, Xiao, Yao, Elghazaly, Hend, Peters, Fritz, Illingworth, Caitlin, Braun, Dorota, O'Malley, Ronan, Bell, Simon, Blackburn, Daniel, Haider, Fasih, Luz, Saturnino, Christensen, Heidi
Dementia is associated with various cognitive impairments and typically manifests only after significant progression, making intervention at this stage often ineffective. To address this issue, the Prediction and Recognition of Cognitive Decline thro
Externí odkaz:
http://arxiv.org/abs/2412.15230
Autor:
Luz, Saturnino, Garcia, Sofia De La Fuente, Haider, Fasih, Fromm, Davida, MacWhinney, Brian, Lanzi, Alyssa, Chang, Ya-Ning, Chou, Chia-Ju, Liu, Yi-Chien
We present a novel benchmark dataset and prediction tasks for investigating approaches to assess cognitive function through analysis of connected speech. The dataset consists of speech samples and clinical information for speakers of Mandarin Chinese
Externí odkaz:
http://arxiv.org/abs/2406.10272
Speech-based depression detection tools could help early screening of depression. Here, we address two issues that may hinder the clinical practicality of such tools: segment-level labelling noise and a lack of model interpretability. We propose a sp
Externí odkaz:
http://arxiv.org/abs/2406.03138
Publikováno v:
Schlogl, S., Doherty, G., & Luz, S. (2015). Wizard of Oz Experimentation for Language Technology Applications: Challenges and Tools. Interacting with Computers 27(6), pp. 592-615
Wizard of OZ (WOZ) is a well-established method for simulating the functionality and user experience of future systems. Using a human wizard to mimic certain operations of a potential system is particularly useful in situations where extensive engine
Externí odkaz:
http://arxiv.org/abs/2402.14563
Depression is a common mental disorder. Automatic depression detection tools using speech, enabled by machine learning, help early screening of depression. This paper addresses two limitations that may hinder the clinical implementations of such tool
Externí odkaz:
http://arxiv.org/abs/2309.13476
Autor:
Luz, Saturnino, Masoodian, Masood
The proliferation of consumer health devices such as smart watches, sleep monitors, smart scales, etc, in many countries, has not only led to growing interest in health monitoring, but also to the development of a countless number of ``smart'' applic
Externí odkaz:
http://arxiv.org/abs/2308.08556
Autor:
Luz, Saturnino, Haider, Fasih, Fromm, Davida, Lazarou, Ioulietta, Kompatsiaris, Ioannis, MacWhinney, Brian
This Signal Processing Grand Challenge (SPGC) targets a difficult automatic prediction problem of societal and medical relevance, namely, the detection of Alzheimer's Dementia (AD). Participants were invited to employ signal processing and machine le
Externí odkaz:
http://arxiv.org/abs/2301.05562
Autor:
Luz, Saturnino
Publikováno v:
In Zanettin F, Rundle C, editors, The Routledge Handbook of Translation and Methodology. New York: Routledge. 2022
This chapter provides an introduction to computational linguistics methods, with focus on their applications to the practice and study of translation. It covers computational models, methods and tools for collection, storage, indexing and analysis of
Externí odkaz:
http://arxiv.org/abs/2206.07026
Autor:
Luz, Saturnino, Masoodian, Masood
Maps have played an important role in epidemiology and public health since the beginnings of these disciplines. With the advent of geographical information systems and advanced information visualization techniques, interactive maps have become essent
Externí odkaz:
http://arxiv.org/abs/2206.06048
Researchers working in areas such as lexicography, translation studies, and computational linguistics, use a combination of automated and semi-automated tools to analyze the content of text corpora. Keywords, named entities, and events are often extr
Externí odkaz:
http://arxiv.org/abs/2203.12262