Results 121 to 130 of about 197,388 (314)
A Movement Classification of Polymyalgia Rheumatica Patients Using Myoelectric Sensors
SensorsGait disorder is common among people with neurological disease and musculoskeletal disorders. The detection of gait disorders plays an integral role in designing appropriate rehabilitation protocols.
Anthony Bawa +2 more
doaj +1 more source
Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Verbal numeral classifiers in languages of Eastern Eurasia: A typological survey
Open LinguisticsThis article presents a typological survey of verbal numeral classifiers (VNCs) in languages of Eastern Eurasia. As classifiers of occurrence (e.g., to V once, to V twice), VNCs are prevalent in languages of East Asia and Southeast Asia, yet the ...
Honkasalo Sami, Yurayong Chingduang
doaj +1 more source
Machine Learning Classifier-Based Metrics Can Evaluate the Efficiency of Separation Systems
EntropyThis paper highlights that metrics from the machine learning field (e.g., entropy and information gain) used to qualify a classifier model can be used to evaluate the effectiveness of separation systems.
Éva Kenyeres +2 more
doaj +1 more source
Molecular Oncology, EarlyView.Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova +14 more
wiley +1 more source
Interpretability Guarantees with Merlin-Arthur Classifiers
<p>The repository provides the codebase for the Merlin-Arthur Classifiers, a novel multi-agent framework designed to enhance interpretability in machine learning models.
Berkant Turan +4 more
core +1 more source
Design for novel enhanced weightless neural network and multi-classifier. [PDF]
, 2009 Weightless neural systems have often struggles in terms of speed, performances, and memory issues. There is also lack of sufficient interfacing of weightless neural systems to others systems.
Lorrentz, Pierre
core
Feature selection for modular GA-based classification
, 2004 Genetic algorithms (GAs) have been used as conventional methods for classifiers to adaptively evolve solutions for classification problems. Feature selection plays an important role in finding relevant features in classification.
Guan, SU, Zhu, F, Zhu, F., Guan, S.
core +1 more source
Molecular Oncology, EarlyView.In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera +11 more
wiley +1 more source
Artificial Intelligence-Based Effective Detection of Parkinson’s Disease Using Voice Measurements
Engineering ProceedingsParkinson’s disease (PD) is a neurodegenerative illness that affects the central nervous system and leads to a gradual degeneration of neurons that results in movement slowness, mental health problems, speaking difficulties, etc.
Gogulamudi Pradeep Reddy +4 more
doaj +1 more source