Results 1 to 10 of about 18 (15)

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]

J 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, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen LY, Couderc JP, Cronin EM, Estep JD, Grieten L, Lane DA, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov PG, Ribeiro AL, Rich RE, Russo AM, Slotwiner D, Steinberg JS, Svennberg E.   +23 more
europepmc   +2 more sources

Indigenous frameworks for data-intensive humanities: recalibrating the past through knowledge engineering and generative modelling. [PDF]

Journal 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, Marcus Frean, Rhys Owen, Rere-No-A-Rangi Pope, Pikihuia Reihana, Valerie Chan   +5 more
doaj   +3 more sources

Digital interfaces of historical newspapers: opportunities, restrictions and recommendations [PDF]

Journal of Data Mining and Digital Humanities, 2021
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 options among users has ...
Eva Pfanzelter, Sarah Oberbichler, Jani Marjanen, Pierre-Carl Langlais, Stefan Hechl   +4 more
doaj   +3 more sources

Generic HTR Models for Medieval Manuscripts. The CREMMALab Project [PDF]

Journal 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]

Journal 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, Pierre Chastang, Xavier Tannier   +2 more
doaj   +1 more source

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

Bioethics, 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

Historical Documents and Automatic Text Recognition: Introduction [PDF]

Journal 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

Multi‐Agent Reinforcement Learning for Cyber Defence Transferability and Scalability

Applied AI Letters, Volume 7, Issue 1, February 2026.
A method for using mutli‐agent reinforcement learning that allows for zero shot transfer across network setups. Diagrams show the local observation construction, training and agent mapping process. The results for novel 15 and 30 node networks show effective transfer and improved scaling performance. ABSTRACT Reinforcement learning (RL) has shown to be
Andrew Thomas, Matthew Yates, Oliver Osborne   +2 more
wiley   +1 more source

What can we Learn from Quantum Convolutional Neural Networks?

Advanced Quantum Technologies, Volume 8, Issue 7, July 2025.
Quantum Convolutional Neural Networks have been long touted as one of the premium architectures for quantum machine learning (QML). But what exactly makes them so successful for tasks involving quantum data? This study unlocks some of these mysteries; particularly highlighting how quantum data embedding provides a basis for superior performance in ...
Chukwudubem Umeano, Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko   +3 more
wiley   +1 more source

Human behavior in image-based Road Health Inspection Systems despite the emerging AutoML. [PDF]

J Big Data, 2022
Siriborvornratanakul T.
europepmc   +1 more source