Search Results - "Unsupervised algorithm"

B-SOiD, an open-source unsupervised algorithm for identification and fast prediction of behaviors by Hsu, Alexander I., Yttri, Eric A.

“… To provide a link from poses to actions and their kinematics, we developed B-SOiD - an open-source, unsupervised algorithm that identifies behavior without user bias…”
Get full text

AISleep: Automated and interpretable sleep staging from single-channel EEG data by Mai, Xun, Song, Binghua, Luo, Manli, Zhu, Jun, Jiang, Xu, Ma, Xiao, Lin, Feng, Hu, Xiaoqing, Peng, Hanchuan, Zhang, Li, Wei, Yina

“… In this study, we introduce AISleep, an automated and interpretable unsupervised algorithm based on feature-weighted kernel density estimation (KDE…”
Get full text

A self‐supervised strategy for fully automatic segmentation of renal dynamic contrast‐enhanced magnetic resonance images by Huang, Wenjian, Li, Hao, Wang, Rui, Zhang, Xiaodong, Wang, Xiaoying, Zhang, Jue

“…Purpose An automated accurate segmentation for dynamic contrast‐enhanced magnetic resonance (DCE‐MR) image sequences is essential for quantification of renal…”
Get full text

An Open Source Unsupervised Algorithm for Identification and Fast Prediction of Behaviors by Hsu, Alexander I, Yttri, Eric A

“… To provide the missing bridge from poses to actions and their kinematics, we developed B-SOiD - an open-source, unsupervised algorithm that identifies behavior without user bias…”
Get full text

The multicenter European Biological Variation Study (EuBIVAS): a new glance provided by the Principal Component Analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurands by Carobene, Anna, Campagner, Andrea, Uccheddu, Christian, Banfi, Giuseppe, Vidali, Matteo, Cabitza, Federico

“…), a machine learning unsupervised algorithm. The EuBIVAS data for 13 basic metabolic panel linked measurands…”
Get more information

Unsupervised Self-Adaptive Auditory Attention Decoding by Geirnaert, Simon, Francart, Tom, Bertrand, Alexander

“… Pre-trained subject-independent decoders alleviate the need of having such a per-user training stage but perform substantially worse than supervised subject-specific decoders that are tailored to the user…”
Get full text

Aging progression of human gut microbiota by Xu, Congmin, Zhu, Huaiqiu, Qiu, Peng

“…Background Human gut microbiota are important for human health and have been regarded as a “forgotten organ”, whose variation is closely linked with various…”
Get full text

Unsupervised Neural Manifold Alignment for Stable Decoding of Movement from Cortical Signals by Ganjali, Mohammadali, Mehridehnavi, Alireza, Rakhshani, Sajed, Khorasani, Abed

“… To overcome this limitation, an automatic unsupervised algorithm is proposed that determines movement target…”
Get more information

Application of supervised and unsupervised algorithms to find the important features related to barley ('Hurdeum vulgare' L.) grain yield: A new vista in data mining by Ehsan Bijanzadeh, Ruhollah Naderi

“… for the individual site and field. To find the main features contributing to barley grain yield (output), supervised and unsupervised algorithms as feature selection and attribute weighting were performed using SPSS Clementine…”
Get full text

xDAWN Algorithm to Enhance Evoked Potentials: Application to Brain-Computer Interface by Rivet, Bertrand, Souloumiac, Antoine, Attina, Virginie, Gibert, Guillaume

“… An unsupervised algorithm is proposed to enhance P300 evoked potentials by estimating spatial filters…”
Get full text

Intra and inter-regional functional connectivity of the human brain due to Task-Evoked fMRI Data classification through CNN & LSTM by Kaheni, Haniyeh, Shiran, Mohammad Bagher, Kamrava, Seyed Kamran, Zare-Sadeghi, Arash

“…Olfaction is an early marker of neurodegenerative disease. Standard olfactory function is essential due to the importance of olfaction in human life. The…”
Get full text

Segmentation Approaches for Diabetic Foot Disorders by Arteaga-Marrero, Natalia, Hernández, Abián, Villa, Enrique, González-Pérez, Sara, Luque, Carlos, Ruiz-Alzola, Juan

“… Multimodal images, constituted by registered visual-light, infrared and depth images, were acquired for 37 healthy subjects…”
Get full text

Developing news-based Economic Policy Uncertainty index with unsupervised machine learning by Azqueta-Gavaldón, Andrés

“…I propose creating a news-based Economic Policy Uncertainty (EPU) index by employing an unsupervised algorithm able to deduce the subject of each article without the need for pre-labeled data…”
Get full text

Accurate segmentation of subcutaneous and intermuscular adipose tissue from MR images of the thigh by Positano, Vincenzo, Christiansen, Tore, Santarelli, Maria Filomena, Ringgaard, Steffen, Landini, Luigi, Gastaldelli, Amalia

“…). Materials and Methods Twenty obese subjects were imaged on a Philips Achieva 1.5T scanner by a fast spin‐echo (FSE) sequence…”
Get full text

Educational Data Mining with Learning Analytics and Unsupervised Algorithms: Analysis and Diagnosis in Basic Education by Torcate, Arianne Sarmento, de Oliveira Rodrigues, Cleyton Mario

“… In this context, digital games referring to the subjects were developed, thus raising relevant information for the construction of a dataset, in which Learning Analysis techniques, Educational Data…”
Get full text

A broad network of subject integration: Based on slowness feature enhancement by Kun, Zheng, Yue, Zhang, Peng, Chang, Hui, Li

“… Slow feature analysis is an unsupervised algorithm, which is used to learn the time correlation representation of process monitoring…”
Get full text

Validating CircaCP: a generic sleep–wake cycle detection algorithm for unlabelled actigraphy data by Chen, Shanshan, Sun, Xinxin

“… In this paper, we detail and validate an unsupervised algorithm—CircaCP—for detecting SW cycles from actigraphy…”
Get full text

Unsupervised discovery of information structure in biomedical documents by Kiela, Douwe, Guo, Yufan, Stenius, Ulla, Korhonen, Anna

“…Motivation: Information structure (IS) analysis is a text mining technique, which classifies text in biomedical articles into categories that capture different…”
Get full text

An Unsupervised Segmentation of Vocal Breath Sounds by Yadav, Shivani, Gope, Dipanjan, Uma Maheswari, K., Ghosh, Prasanta Kumar

“… An unsupervised algorithm for VBS segmentation has been proposed in this work. Each breath phase in continuous breaths has been modeled using triangles, where the end points…”
Get full text

A multi-relational term scheme for first story detection by Rao, Yanghui, Li, Qing, Wu, Qingyuan, Xie, Haoran, Wang, Fu Lee, Wang, Tao

“… An unsupervised algorithm based on LGT is then devised…”
Get full text