2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society. [PDF]
Abstract This collaborative statement from the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society describes the current status of mobile health (“mHealth”) technologies in arrhythmia management.
Varma N+23 more
europepmc +2 more sources
Indigenous frameworks for data-intensive humanities: recalibrating the past through knowledge engineering and generative modelling. [PDF]
International audience Identifying, contacting and engaging missing shareholders constitutes an enormous challenge for Māori incorporations, iwi and hapū across Aotearoa New Zealand.
Sydney Shep+5 more
doaj +3 more sources
Digital interfaces of historical newspapers: opportunities, restrictions and recommendations [PDF]
International audience Many libraries offer free access to digitised historical newspapers via user interfaces. After an initial period of search and filter options as the only features, the availability of more advanced tools and the desire for more ...
Eva Pfanzelter+4 more
doaj +3 more sources
Generic HTR Models for Medieval Manuscripts. The CREMMALab Project [PDF]
In the Humanities, the emergence of digital methods has opened up research questions to quantitative analysis. This is why HTR technology is increasingly involved in humanities research projects following precursors such as the Himanis project.
Ariane Pinche
doaj +1 more source
Automatic medieval charters structure detection : A Bi-LSTM linear segmentation approach [PDF]
This paper presents a model aiming to automatically detect sections in medieval Latin charters. These legal sources are some of the most important sources for medieval studies as they reflect economic and social dynamics as well as legal and ...
Sergio Torres Aguilar+2 more
doaj +1 more source
Abstract For some years, we have been witnessing a steady stream of high‐profile studies about machine learning (ML) algorithms achieving high diagnostic accuracy in the analysis of medical images. That said, facilitating successful collaboration between ML algorithms and clinicians proves to be a recalcitrant problem that may exacerbate ethical ...
Thomas Grote, Philipp Berens
wiley +1 more source
Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer [PDF]
We present a study for the generation of events from a physical process with deep generative models. The simulation of physical processes requires not only the production of physical events, but also to ensure these events occur with the correct ...
Caron, Sascha+8 more
core +2 more sources
Cross-language Text Classification with Convolutional Neural Networks From Scratch [PDF]
Cross language classification is an important task in multilingual learning, where documents in different languages often share the same set of categories.
Enweiji, M. Z. (Musbah)+2 more
core +2 more sources
Historical Documents and Automatic Text Recognition: Introduction [PDF]
With this special issue of the Journal of Data Mining and Digital Humanities (JDMDH), we bringtogether in one single volume several experiments, projects and reflections related to automatic textrecognition applied to historical documents.
Ariane Pinche, Peter Stokes
doaj +1 more source
Deep transfer learning for improving single-EEG arousal detection
Datasets in sleep science present challenges for machine learning algorithms due to differences in recording setups across clinics. We investigate two deep transfer learning strategies for overcoming the channel mismatch problem for cases where two ...
Jennum, Poul+3 more
core +1 more source