Results 181 to 190 of about 63,611 (263)
Correction to: Improved dynamic functional connectivity estimation with an alternating hidden Markov model. [PDF]
Long Z +6 more
europepmc +1 more source
Using Hidden Markov Modeling to Decompose Human-Written Summaries [PDF]
Hongyan Jing
openalex +1 more source
Summary Introduction Postoperative delirium is a common complication following cardiac surgery. Despite its known impact on patient outcomes, effective preventative strategies remain elusive. We aimed to perform a comprehensive Bayesian network meta‐analysis of randomised controlled trials assessing the effect of pharmacological interventions on the ...
Ivo Queiroz +16 more
wiley +1 more source
Abstract This paper offers an alternative reading of decolonial geographies by examining how people make due in the context of colonial natures. Drawing on collaborative ethnographic research, we illustrate how everyday acts of reclaiming ancestral lands serve as practices of resistance that foment Enxet and Sanapaná resurgence in Paraguay's Chaco.
Joel E. Correia, Clemente Dermott
wiley +1 more source
Immunogenicity dynamics and covariate effects after satralizumab administration predicted with a hidden Markov model. [PDF]
Leisegang R +6 more
europepmc +1 more source
Improved hidden Markov models in the wavelet-domain
Guoliang Fan, Xiang–Gen Xia
openalex +1 more source
Abstract Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies ...
Ruoxi Qi +4 more
wiley +1 more source
Single-Channel Sleep EEG Classification Method Based on LSTM and Hidden Markov Model. [PDF]
Chen W, Cai Y, Li A, Su Y, Jiang K.
europepmc +1 more source
Coding with partially hidden Markov models [PDF]
Søren Forchhammer, J. Rissanen
openalex +1 more source
Scoping review on natural language processing applications in counselling and psychotherapy
Abstract Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021.
Maria Laricheva +3 more
wiley +1 more source

