Clinical phenotypes among patients that underwent cardiac resynchronization therapy using unsupervised learning integrating gated SPECT. [PDF]
Leal de Azevedo Junior G +10 more
europepmc +1 more source
ABSTRACT This study theorises and empirically tests performative purpose alignment theory (PPAT), which conceptualises corporate purpose as a performative artefact materialised through discursive and multimodal signals. To operationalise this, we introduced the SDG–Purpose Alignment Index (SPAI), a computational construct that quantifies the thematic ...
Augustine Okeke, Ifeanyi Ugbebor
wiley +1 more source
A data augmentation model integrating supervised and unsupervised learning for recommendation. [PDF]
Chen J +5 more
europepmc +1 more source
Do Banks in the Middle East and North Africa Region Price Carbon Exposure?
ABSTRACT This study examines whether carbon exposure is incorporated into corporate borrowing costs within the Middle East and North Africa (MENA) region. Using a panel of 771 firm‐year observations from publicly listed non‐financial firms between 2016 and 2023, the analysis investigates the relationship between carbon intensity and firms' cost of debt
Yara Ibrahim +2 more
wiley +1 more source
Unsupervised learning reveals landscape of local structural motifs across protein classes. [PDF]
Derry A +3 more
europepmc +1 more source
EmbedTAD Using Graph Embedding and Unsupervised Learning to Identify TADs from High-Resolution Hi-C Data. [PDF]
Chowdhury HMAM, Oluwadare O.
europepmc +1 more source
Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?
British Journal of Clinical Pharmacology, EarlyView.
Christina Gao +3 more
wiley +1 more source
Unsupervised learning analysis on the proteomes of Zika virus. [PDF]
Lara-Ramírez EE +5 more
europepmc +1 more source
Evaluation of unsupervised learning algorithms for the classification of behavior from pose estimation data. [PDF]
Mlost J +4 more
europepmc +1 more source
A method for unsupervised learning of coherent spatiotemporal patterns in multiscale data. [PDF]
Lapo K, Ichinaga SM, Kutz JN.
europepmc +1 more source

