Web.ml.tu-berlin.de - SEO Checker

Visión general del análisis SEO
Metadatos
91% 
Calidad de la página
47% 
Estructura
53% 
Enlazado
72% 
Servidor
46% 
Factores externos
48% 
Puntuación SEO
Tiempo de carga
0,11 s
Tamaño HTML
999,30 kB
Palabras
23861
Medios
2
Cantidad de enlaces
14 internos / 1669 externos

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Metadatos

Título
(Extremadamente importante)
Publications | Machine Learning Group
La longitud del título es óptima (347 píxeles de una longitud máxima de 580 píxeles).
No se repite ninguna palabra en el título.
Meta descripción
(Extremadamente importante)
Research Group ML at TU Berlin
La longitud de la meta descripción es óptima (204 píxeles de una longitud máxima de 1000 píxeles).
Rastreabilidad
(Extremadamente importante)
No se detectan problemas para acceder al sitio web.
Redirección canónica
(Importante)
https://web.ml.tu-berlin.de/publication/
La página tiene una redirección canónica correcta.
Idioma
(Poco importante)
Idioma reconocido automáticamente en el contenido: en
Idioma declarado en el código HTML: en-us
Ubicación geográfica del servidor: Estados Unidos de América
El idioma ha sido correctamente declarado en el código HTML: en-us.
Enlaces Alternate/Hreflang
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Falta el enlace alternativo a esta misma página.
Hay un enlace alternativo o alternate que contiene de forma errónea una URL con una ruta (path) relativa.
Otras Metaetiquetas
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No se detecta ninguna metaetiqueta de paginación rel next en la página.
No se detecta ninguna metaetiqueta de paginación rel prev en la página.
Dominio
(Poco importante)
El dominio no es un subdominio.
La longitud del nombre del dominio es buena.
El dominio no contiene caracteres especiales.
URL de la página
(Poco importante)
No se detecta ningún parámetro dinámico en la URL.
No se detecta ningún ID de sesión en la URL.
La URL no contiene demasiados subdirectorios.
Codificación de caracteres
(Poco importante)
No se especifica la codificación de caracteres.
La codificación de caracteres (UTF-8) no se especifica en los headers HTTP.
Doctype
(Deseable)
La etiqueta doctype HTML 5 está configurada correctamente.
La declaración del doctype se ubica al inicio del código HTML.
Favicon
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El favicon está enlazado correctamente.

Metaetiquetas

NombreValor
viewportwidth=device-width, initial-scale=1
generatorWowchemy 5.7.0 for Hugo
descriptionResearch Group ML at TU Berlin
theme-color#1565c0
langen-us
twitter:cardsummary
twitter:site@ml_tuberlin
twitter:creator@ml_tuberlin
twitter:image/media/logo.svg
og:site_nameMachine Learning Group
og:url/publication/
og:titlePublications | Machine Learning Group
og:descriptionResearch Group ML at TU Berlin
og:image/media/logo.svg
og:localeen-us
og:updated_time2024-01-01T00:00:00+00:00
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Calidad de la página

Contenido
(Extremadamente importante)
El contenido de esta página es demasiado extenso (23861 palabras). Tal vez podrías dividirlo en varias páginas según el tema.
Hay 12 textos duplicados en esta página:
  • Texto duplicado 1: Alexander von Lühmann, Surjo Soekadar, Klaus-Robert Müller, Benjamin B...
  • Texto duplicado 2: A von Lühmann, K-R Müller (2017). Why build an integrated EEG-NIRS? Ab...
  • Texto duplicado 3: Alexander von Lühmann, Heidrun Wabnitz, Tilmann Sander, Klaus-Robert M...
  • Texto duplicado 4: Alexander von Lühmann, Heidrun Wabnitz, Tilmann Sander, Klaus-Robert M...
  • Texto duplicado 5: Alexander von Lühmann, Klaus-Robert Müller (2016). M3BA: New Technolog...
  • Texto duplicado 6: Alexander von Lühmann, Christian Herff, Dominic Heger, Tanja Schultz (...
Un 5.8% del contenido está constituido por palabras vacías.
Las palabras clave del título también se repiten en el texto del cuerpo.
La página contiene un listado, lo que indica una buena estructuración del contenido.
Se han encontrado 315 párrafos en esta página.
No se detecta ningún placeholder de texto ni imagen.
La cantidad media de palabras por frase es buena: 12.06 palabras.
Frames
(Extremadamente importante)
Esta página no utiliza ningún frameset.
Optimización para móviles
(Poco importante)
Esta página carga 11 archivos JavaScript. Esto puede afectar negativamente a la velocidad de carga.
Con 999.3 kB, el documento HTML es demasiado grande.
El valor de la etiqueta viewport es correcto: (width=device-width, initial-scale=1).
Al menos un icono de Apple-Touch ha sido especificado.
Etiquetas Bold y Strong
(Poco importante)
El uso de etiquetas de negritas en esta página es óptimo. Te recomendamos emplear hasta 477 etiquetas de negritas en una página.
Optimización de imágenes
(Poco importante)
La descripción del atributo ALT se utiliza correctamente en todas las imágenes rastreadas.
Redes Sociales
(Deseable)
Esta página apenas ofrece posibilidades de compartir el contenido en redes sociales. Con la integración de widgets puedes conseguir que tus contenidos se popularicen en redes.
Etiquetas markup adicionales
(Deseable)
No se detecta ninguna etiqueta markup (de Schema.org) adicional.
HTTPS
(Poco importante)
El sitio utiliza HTTPS para transferir datos de forma segura.
Todos los archivos incluidos se transfieren a través de HTTPS.

Lista de medios

URLAtributo ALTTítulo
https://web.ml.tu-berlin.de/media/logo.svgMachine Learning Group
https://web.ml.tu-berlin.de/media/logo.svgMachine Learning Group

Estructura de la página

Encabezado H1
(Extremadamente importante)
Search
El encabezado H1 esta compuesto por una sola palabra. Podrías ampliarlo con más información.
El encabezado H1 es demasiado corto (6 caracteres). Debería tener al menos 20 caracteres.
Encabezados
(Importante)
En la estructura de los encabezados H faltan uno o varios niveles.

Estructura de los encabezados

Jerarquía de encabezadosContenido
H1 Search
H1 Publications
H5 Cite
Algunos textos ancla se repiten más de una vez en varios enlaces.
La cantidad de enlaces internos es adecuada.
Ningún texto ancla es excesivamente largo.
Ningún enlace interno contiene parámetros dinámicos.
Hay demasiados enlaces externos (1669) en esta página.
EnlacePropiedadesTexto ancla
https://web.ml.tu-berlin.de/IMG-ALT Machine Learning Group
https://web.ml.tu-berlin.de/Texto duplicado Machine Learning Group
https://web.ml.tu-berlin.de/Texto duplicado Machine Learning Group
IMG-ALT Machine Learning Group
https://web.ml.tu-berlin.de/Home
/teaching/courses/Course Offerings
/teaching/thesis/Thesis Opportunities
/researchResearch Profile
/publication/Publications
/software/Software
https://web.ml.tu-berlin.de/teamTeam
https://web.ml.tu-berlin.de/jobsJobs
/contactContact
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https://scholar.google.de/scho...Externo Subdominio Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings
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https://doi.org/10.1021/acs.jp...Nueva ventana Externo Texto duplicado DOI
https://doi.org/10.1021/acs.jp...Nueva ventana Externo Texto duplicado URL
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https://arxiv.org/abs/2307.02245Nueva ventana Externo Texto duplicado arXiv
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https://scholar.google.de/scho...Externo Subdominio Concept for the Real-Time Monitoring of Molecular Configurations during Manipulation with a Scanning Probe Microscope
https://doi.org/10.1021/acs.jp...Nueva ventana Externo Texto duplicado DOI
https://doi.org/10.1021/acs.jp...Nueva ventana Externo Texto duplicado URL
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https://doi.org/10.1021/acs.jc...Nueva ventana Externo Texto duplicado DOI
https://doi.org/10.1021/acs.jc...Nueva ventana Externo Texto duplicado URL
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https://doi.org/10.1371/journa...Nueva ventana Externo Texto duplicado DOI
https://doi.org/10.1371/journa...Nueva ventana Externo Texto duplicado URL
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https://doi.org/10.1063/5.0138367Nueva ventana Externo Texto duplicado URL
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https://arxiv.org/abs/2303.14434Nueva ventana Externo Texto duplicado URL
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https://arxiv.org/abs/2303.05498Nueva ventana Externo Texto duplicado arXiv
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https://doi.org/10.1103/physre...Nueva ventana Externo Texto duplicado URL
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https://doi.org/10.1093/bioinf...Nueva ventana Externo Texto duplicado DOI
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https://arxiv.org/abs/2210.12104Nueva ventana Externo Texto duplicado arXiv
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https://arxiv.org/abs/2312.04458Nueva ventana Externo Texto duplicado URL
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https://doi.org/10.1109/TMI.20...Nueva ventana Externo Texto duplicado DOI
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https://doi.org/https://doi.or...Nueva ventana Externo Texto duplicado DOI
https://www.sciencedirect.com/...Nueva ventana Externo Subdominio Texto duplicado URL
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https://doi.org/10.1117/1.NPh....Nueva ventana Externo Texto duplicado DOI
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https://doi.org/10.1186/s13059...Nueva ventana Externo Texto duplicado DOI
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https://doi.org/10.1038/s41698...Nueva ventana Externo Texto duplicado URL
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https://doi.org/10.1117/1.NPh....Nueva ventana Externo Texto duplicado DOI
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https://doi.org/10.1088/2632-2...Nueva ventana Externo Texto duplicado DOI
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https://doi.org/https://doi.or...Nueva ventana Externo Texto duplicado DOI
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https://doi.org/10.1109/MSP.20...Nueva ventana Externo Texto duplicado DOI
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https://doi.org/10.48550/ARXIV...Nueva ventana Externo Texto duplicado DOI
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https://doi.org/10.1038/s41524...Nueva ventana Externo Texto duplicado DOI
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https://doi.org/10.1063/5.0111511Nueva ventana Externo Texto duplicado DOI
https://doi.org/10.1063/5.0111511Nueva ventana Externo Texto duplicado URL
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https://scholar.google.de/scho...Externo Subdominio Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics
https://scholar.google.de/scho...Externo Subdominio Analysis of Drifting Dynamics with Competing Predictors
https://scholar.google.de/scho...Externo Subdominio Improving Short-Term Prediction with Competing Experts
https://scholar.google.de/scho...Externo Subdominio Analysis of Switching Dynamics with Competing Neural Networks
https://scholar.google.de/scho...Externo Subdominio Analysing Physiological Data from the Wake-Sleep State Transition with Competing Predictors
https://scholar.google.de/scho...Externo Subdominio The Use of Competing Neural Networks for Segmentation and Identification of Switching Dynamics
https://scholar.google.de/scho...Externo Subdominio Segmentation and Identification of Switching Dynamics with Competing Neural Networks
https://scholar.google.de/scho...Externo Subdominio Competing Predictors Segment and Identify Switching Dynamics
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Publications | Machine Learning Group
Research Group ML at TU Berlin

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