Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

149
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
149
Aggregates Classification01:29

Aggregates Classification

380
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
380
Graded Potential01:19

Graded Potential

4.6K
Graded potentials are localized fluctuations in the cell membrane's electrical charge, commonly found in the dendrites of neurons. The magnitude of these potential changes depends on the strength of the initiating stimulus. In a membrane at its resting potential, a graded potential signifies a voltage shift either above -70 mV or below -70 mV.
Graded potentials fall into two categories: depolarizing and hyperpolarizing. Depolarizing graded potentials typically occur when sodium (Na+) or...
4.6K
Classification of Systems-II01:31

Classification of Systems-II

240
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
240
Classification of Systems-I01:26

Classification of Systems-I

294
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
294
Classification of Signals01:30

Classification of Signals

878
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
878

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

[Developmental status and prospect of musical electroacupuncture].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion·2015
Same author

Utility of Tc-PEG4-E[PEG4-c(RGDfK)]2 in Posttherapy Surveillance of Patients with Reelevated Carcinoembryonic Antigen Levels.

Medical principles and practice : international journal of the Kuwait University, Health Science Centre·2015
Same author

Characterization of the impurities and isomers in cefetamet pivoxil hydrochloride by liquid chromatography/time-of-flight mass spectrometry and ion trap mass spectrometry.

Journal of pharmaceutical and biomedical analysis·2015
Same author

(68)Ga-labeled 3PRGD2 for dual PET and Cerenkov luminescence imaging of orthotopic human glioblastoma.

Bioconjugate chemistry·2015
Same author

An exploratory study on 99mTc-RGD-BBN peptide scintimammography in the assessment of breast malignant lesions compared to 99mTc-3P4-RGD2.

PloS one·2015
Same author

Chemoradiation therapy reduces aldehyde dehydrogenase 1 expression in cervical cancer but does not improve patient survival.

Medical oncology (Northwood, London, England)·2015
Same journal

Modeling and analysis of forward and inverse kinematics for a flexible Stewart platform.

PloS one·2026
Same journal

Barriers and facilitators to healthcare utilization amongst people living with sickle cell disease in the United States: A scoping review.

PloS one·2026
Same journal

Enhancing data completeness in time series: Imputation strategies for missing data using significant periodically correlated components.

PloS one·2026
Same journal

Key targets and mechanisms by which gut microbiota-derived metabolites regulate Alzheimer's disease through the immune - inflammatory pathway: Based on network pharmacology and molecular docking.

PloS one·2026
Same journal

Grid-tied Transformer-less Boost Switched Capacitor Topology (TLBSCT) for PV applications.

PloS one·2026
Same journal

The load-velocity profiles and exercise-specific velocity zones for seven commonly used weightlifting exercises.

PloS one·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Sep 9, 2025

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.1K

ICMC: Un modelo de clasificación multimodal interpretable para el plan de enseñanza de calificación

Jin Jin1, Fan Wang2, Shengzheng Tian1

  • 1School of Information and Intelligent Engineering, Zhejiang Wanli University, Ningbo, Zhejiang, China.

PloS one
|September 3, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Desarrollamos un marco de clasificación multimodal interpretable (ICMC) para mejorar la confianza en el aprendizaje profundo para tareas como la evaluación educativa. ICMC mejora la precisión y la generalización al tiempo que proporciona una clara interpretabilidad.

Más Videos Relacionados

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification
07:47

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification

Published on: February 14, 2018

11.4K
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

8.5K

Videos de Experimentos Relacionados

Last Updated: Sep 9, 2025

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.1K
Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification
07:47

Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification

Published on: February 14, 2018

11.4K
Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

8.5K

Área de la Ciencia:

  • Inteligencia artificial
  • Aprendizaje automático
  • Visión por computadora

Sus antecedentes:

  • Las redes neuronales profundas (DNN) se destacan en la clasificación multimodal, pero a menudo carecen de interpretabilidad, lo que causa escepticismo, especialmente en campos sensibles como la educación.
  • Este déficit de confianza dificulta la adopción de DNN en aplicaciones críticas que requieren una toma de decisiones transparente.

Objetivo del estudio:

  • Introducir un marco interpretable de clasificación multimodal (ICMC, por sus siglas en inglés) que aumente la confianza y el rendimiento de las RND para las tareas multimodal.
  • Abordar la falta de interpretabilidad en los DNN actuales, en particular para la evaluación educativa.

Principales métodos:

  • El ICMC emplea un mecanismo de atención basado en la confianza en las capas intermedias para evaluar la información local y global y detectar anomalías.
  • Un mecanismo de probabilidad de confianza en la capa de salida utiliza ambas perspectivas para mejorar la certeza del resultado.
  • Se crearon y publicaron nuevos conjuntos de datos multimodales para la puntuación automática del plan de lecciones.

Principales resultados:

  • El ICMC logró una precisión 2,5-6,0% mayor y una puntuación F1 3,1-7,2% mayor que los modelos de última generación en conjuntos de datos educativos y médicos.
  • Se redujo la latencia computacional en un 18% y se demostró una generalización superior de 15,7% entre dominios en comparación con los métodos basados en transformadores.
  • La interpretabilidad se confirmó a través de la visualización de la atención y la puntuación de confianza.

Conclusiones:

  • ICMC ofrece una solución robusta para la clasificación multimodal interpretable, mejorando la confianza y el rendimiento en ámbitos sensibles.
  • La generalización y la eficiencia del marco lo hacen adecuado para aplicaciones del mundo real más allá de la evaluación educativa.