Results 51 to 60 of about 2,058,652 (297)

Detection of Bruxism Using Inverse Discrete Wavelet Transformed Reconstructed Band Limited EEG Signals by Group Wise Feature Ranking

IEEE Access
Bruxism is a sleep disorder which is manifested by unintentional grinding and clenching of teeth during sleep. An automated sleep bruxism recognition system using single channel EEG data is proposed in this paper which is based on Inverse Discrete ...
Ainul Anam Shahjamal Khan, Shaikh Anowarul Fattah, Muhammad Quamruzzaman, Mohammad Saquib   +3 more
doaj   +1 more source

A novel somatic cancer gene-based biomedical document feature ranking and clustering model

Informatics in Medicine Unlocked, 2019
Background: As the size of somatic genomes in biomedical repositories increases, it is essential to predict cancer related document sets using the machine learning models. Most of the traditional gene-based somatic cancer mining models are independent of
Thulasi Bikku, Radhika Paturi
doaj   +1 more source

Feature Transformation for Neural Ranking Models [PDF]

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
Although neural network models enjoy tremendous advantages in handling image and text data, tree-based models still remain competitive for learning-to-rank tasks with numerical data. A major strength of tree-based ranking models is the insensitivity to different feature scales, while neural ranking models may suffer from features with varying scales or
Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork   +3 more
openaire   +2 more sources

Feature ranking for the Texas Native American dataset.

, 2022
Feature ranking for the Texas Native American dataset.
Rachel Bennett (7649594), Alisse Hauspurg (12360105), Zuber D. Mulla (8624097), Pavan Parikh (12360102), Talayeh Razzaghi (2793934)   +4 more
core   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

Machine Learning for Extraction of Image Features Associated with Progression of Geographic Atrophy

BioMedInformatics
Background: Several studies have investigated various features and models in order to understand the growth and progression of the ocular disease geographic atrophy (GA).
Janan Arslan, Kurt Benke
doaj   +1 more source

Ranking the Importance of Variables in a Nonparametric Frontier Analysis Using Unsupervised Machine Learning Techniques

Mathematics, 2023
In this paper, we propose and compare new methodologies for ranking the importance of variables in productive processes via an adaptation of OneClass Support Vector Machines.
Raul Moragues, Juan Aparicio, Miriam Esteve   +2 more
doaj   +1 more source

Feature ranking for the MOMI African American dataset.

, 2022
Feature ranking for the MOMI African American dataset.
Rachel Bennett (7649594), Alisse Hauspurg (12360105), Zuber D. Mulla (8624097), Pavan Parikh (12360102), Talayeh Razzaghi (2793934)   +4 more
core   +1 more source

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin, Sheila K. Pierson, Kelley C. Dacus, Mateo Sarmiento Bustamante, Saishravan Shyamsundar, Larissa Borys, Kayla McHugh, Abiola Irvine, Yoojin Jo, Adam Bagg, Mary Jo Lechowicz, Daisy Alapat, Amy Chadburn, Megan S. Lim, Gordan Srkalovic, Frits van Rhee, David C. Fajgenbaum, Joshua D. Brandstadter   +17 more
wiley   +1 more source

Supervised Feature Selection With a Stratified Feature Weighting Method

IEEE Access, 2018
Feature selection has been a powerful tool to handle high-dimensional data. Most of these methods are biased toward the highest rank features which may be highly correlated with each other.
Renjie Chen, Ning Sun, Xiaojun Chen, Min Yang, Qingyao Wu   +4 more
doaj   +1 more source