Results 71 to 80 of about 770,485 (338)

A Boundary Distance-Based Symbolic Aggregate Approximation Method for Time Series Data

Algorithms, 2020
A large amount of time series data is being generated every day in a wide range of sensor application domains. The symbolic aggregate approximation (SAX) is a well-known time series representation method, which has a lower bound to Euclidean distance and
Zhenwen He, Shirong Long, Xiaogang Ma, Hong Zhao   +3 more
doaj   +1 more source

Neuropsychiatric Symptoms Mimicking Dementia in a Patient Treated With Imatinib

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Tyrosine kinase inhibitors are the cornerstone of chronic myeloid leukemia treatment. Newer agents have more potency and a broader spectrum of action, but also a higher potential for neuropsychiatric side effects. We present a case of a patient on imatinib who developed progressive cognitive, mood, and behavioral alterations.
Ashley Jones, Samuele Bonomi, Keith E. Stockerl‐Goldstein, Randall J. Bateman   +3 more
wiley   +1 more source

LPaaS as Micro-Intelligence: Enhancing IoT with Symbolic Reasoning

Big Data and Cognitive Computing, 2018
In the era of Big Data and IoT, successful systems have to be designed to discover, store, process, learn, analyse, and predict from a massive amount of data—in short, they have to behave intelligently.
Roberta Calegari, Giovanni Ciatto, Stefano Mariani, Enrico Denti, Andrea Omicini   +4 more
doaj   +1 more source

Mahalanobis-Taguchi System for Symbolic Interval Data Based on Kernel Mahalanobis Distance

IEEE Access, 2020
Mahalanobis-Taguchi System (MTS), as a pattern recognition method by constructing a continuous measurement scale, has a very good performance on classification and feature selection for real-valued data.
Zhipeng Chang, Wenhe Chen, Yuping Gu, Haoyue Xu   +3 more
doaj   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Discovering equations from data: symbolic regression in dynamical systems

Journal of Physics: Complexity
The process of discovering equations from data lies at the heart of physics and in many other areas of research, including mathematical ecology and epidemiology.
Beatriz R Brum, Luiza Lober, Isolde Previdelli, Francisco A Rodrigues   +3 more
doaj   +1 more source

Generalizing the SINDy approach with nested neural networks [PDF]

ESAIM: Proceedings and Surveys
Symbolic Regression (SR) is a widely studied field of research that aims to infer symbolic expressions from data. A popular approach for SR is the Sparse Identification of Nonlinear Dynamical Systems (SINDy) framework, which uses sparse regression to ...
Fiorini Camilla, Flint Clément, Fostier Louis, Franck Emmanuel, Hashemi Reyhaneh, Michel-Dansac Victor, Tenachi Wassim   +6 more
doaj   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett, Abigail Dubois, Melanie Leguizamon, Alexander Song, Paula Trujillo, Colin D. McKnight, Ciaran M. Considine, Manus J. Donahue, Daniel O. Claassen   +8 more
wiley   +1 more source

SAILOR: perceptual anchoring for robotic cognitive architectures

Scientific Reports
Symbolic anchoring is an important topic in robotics, as it enables robots to obtain symbolic knowledge from the perceptual information acquired through their sensors and maintain the link between that knowledge and the sensory data.
Miguel Á. González-Santamarta, Francisco J. Rodrıguez-Lera, Vicente Matellan-Olivera, Virginia Riego del Castillo, Lidia Sánchez-González   +4 more
doaj   +1 more source

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano, Giacomo Boffa, Maria Petracca, Marta Ponzano, Nicole Graziano, Claire Wigley, Claire Riley, Jonathan Howard, Pietro Bontempi, Sylvia Klineova, Fred Lublin, Matilde Inglese   +11 more
wiley   +1 more source