Results 121 to 130 of about 16,408 (214)

From Anatomy to Outcome: Linking Glioma Location Patterns to Survival Using Non-Negative Matrix Factorization. [PDF]

Clin Neuroradiol
Schell M, Kohler J, Folty-Dumitru M, Alzaid H, Pflüger I, Schregel K, Hilgenfeld T, Kernbach J, Krieg S, Sahm F, Wick W, Bendszus M, Jesser J.   +12 more
europepmc   +1 more source

Understanding the Burden of Orofacial Involvement and Patient Treatment Preferences in Systemic Sclerosis: Results From a Large International Survey

Arthritis Care &Research, EarlyView.
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni, Lee Shapiro, Deana Gibbs, Zsuzsanna H. McMahan, Michael Hughes   +4 more
wiley   +1 more source

Peringkasan Dokumen Bahasa Indonesia Berbasis Non-Negative Matrix Factorization (NMF)

Jurnal Teknologi Informasi dan Ilmu Komputer, 2014
Achmad Ridok
doaj   +1 more source

Music emotion representation based on non-negative matrix factorization algorithm and user label information. [PDF]

PeerJ Comput Sci, 2023
Tian Y.
europepmc   +1 more source

Employment Trajectories of Patients With Systemic Lupus Erythematosus and Factors Driving Transitions Between States

Arthritis Care &Research, EarlyView.
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo, Zahi Touma, Laura Whittall Garcia, Dafna D. Gladman, Behdin Nowrouzi‐Kia   +4 more
wiley   +1 more source

Coupled cross-sectional and longitudinal non-negative matrix factorization reveals dominant brain aging trajectories in 48,949 individuals. [PDF]

Nat Commun
Skampardoni I, Erus G, Nasrallah IM, Yang Z, Duggan MR, Walker KA, Getka A, Baik K, Melhem R, Govindarajan ST, Resnick SM, Shou H, Nikita K, Davatzikos C.   +13 more
europepmc   +1 more source

Pareto-Optimized Non-Negative Matrix Factorization Approach to the Cleaning of Alaryngeal Speech Signals. [PDF]

Cancers (Basel), 2023
Maskeliūnas R, Damaševičius R, Kulikajevas A, Pribuišis K, Ulozaitė-Stanienė N, Uloza V.   +5 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Interleaving cortex-analog mixing improves deep non-negative matrix factorization networks. [PDF]

Front Comput Neurosci
Nouri M, Rotermund D, Garcia-Ortiz A, Pawelzik KR.   +3 more
europepmc   +1 more source

Speech Audio Synthesis from Tagged MRI and Non-Negative Matrix Factorization via Plastic Transformer. [PDF]

Med Image Comput Comput Assist Interv, 2023
Liu X, Xing F, Stone M, Zhuo J, Fels S, Prince JL, El Fakhri G, Woo J.   +7 more
europepmc   +1 more source