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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]

open access: yesJ Arrhythm, 2021
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]

open access: yesJournal of Data Mining and Digital Humanities, 2021
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]

open access: yesJournal of Data Mining and Digital Humanities, 2021
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]

open access: yesJournal of Data Mining and Digital Humanities, 2023
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]

open access: yesJournal of Data Mining and Digital Humanities, 2022
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

How competitors become collaborators—Bridging the gap(s) between machine learning algorithms and clinicians

open access: yesBioethics, Volume 36, Issue 2, Page 134-142, February 2022., 2022
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]

open access: yes, 2019
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]

open access: yes, 2017
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]

open access: yesJournal of Data Mining and Digital Humanities
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

open access: yes, 2020
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

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