Angel Castellanos

Angel Castellanos
National Distance Education University | UNED · Department of Computer Languages and Systems

MSc

About

25
Publications
3,336
Reads
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135
Citations
Citations since 2017
3 Research Items
97 Citations
20172018201920202021202220230510152025
20172018201920202021202220230510152025
20172018201920202021202220230510152025
20172018201920202021202220230510152025
Additional affiliations
April 2011 - present
National Distance Education University
Position
  • Researcher

Publications

Publications (25)
Article
In social image retrieval, the main goal is to offer a relevant but also diverse result set of images to the user. To address relevance and diversity at the same time, we propose a multi-modal procedure. This approach deals with the diversification problem using a two-step procedure based on the application of Formal Concept Analysis (FCA)to organi...
Article
The Topic Detection task is focused on discovering the main topics addressed by a series of documents (e.g., news reports, e-mails, tweets). Topics, defined in this way, are expected to be thematically similar, cohesive and self-contained. This task has been broadly studied from the point of view of clustering and probabilistic techniques. In this...
Article
The Topic Detection Task in Twitter represents an indispensable step in the analysis of text corpora and their later application in Online Reputation Management. Classification, clustering and probabilistic techniques have been traditionally applied, but they have some well-known drawbacks such as the need to fix the number of topics to be detected...
Conference Paper
Probabilistic techniques, mainly Latent Dirichlet Allocation (LDA), have become almost a standard for the content organization in the research field of Digital Humanities (DH). However, this kind of techniques entails some problems, such as the need to fix the number of topics to be detected or the non-trivial interpretation of the obtained organiz...
Conference Paper
Full-text available
Probabilistic techniques, mainly Latent Dirichlet Allocation (LDA), have become almost a standard for the content organization in the research field of Digital Humanities (DH). However, this kind of techniques entails some problems, such as the need to fix the number of topics to be detected or the non-trivial interpretation of the obtained organiz...
Conference Paper
Full-text available
Se introduce y contextualiza la estructuración basada en contenidos que se ha realizado sobre las casi ocho mil fichas (documentos estructurados) en castellano de la Colección de Mapas, planos y dibujos del Archivo General de Simancas (AGS) para ayuda a la investigación en el proyecto DIMH (HAR2012-31117).
Conference Paper
Full-text available
In a recommendation task it is crucial to have an accurate content based description of the users and the items. Linked Open Data (LOD) has been demonstrated as one of the best ways of obtaining this kind of content. The main question is to know how useful the LOD information is in inferring user preferences and how to obtain it. We propose a novel...
Conference Paper
Full-text available
In Recommender Systems (RS), and especially in Content-Based RS (CBRS), both, content and user modelling are especially important; since the performance of these systems, and consequently user satisfaction, is mostly based on the accuracy of the modelling step. This work proposes an innovative methodology to improve the representativeness of the co...
Article
Full-text available
This paper summarizes the participation of UNED at the 2014 Retrieving Diverse Social Images Task [3]. We propose a novel approach based on Formal Concept Analysis (FCA) to detect the latent topics related to the images and a later Hierarchical Agglomerative Clustering (HAC) to put together the images according to these latent topics. The diversifi...
Conference Paper
Full-text available
The effective communication between user and systems is one main aim in the Multimedia Information Retrieval field. In this paper the modality classification of images is used to expand the user queries within the ImageCLEF Medical Retrieval collection provided by organizers. Our main contribution is to show how and when results can be improved by...
Conference Paper
The UNED-UV group at the ImageCLEF2013 Campaign have participated in the Scalable Concept Image Annotation subtask. We present a multimedia IR-based system for the annotation task. In this collection, the images do not have any textual description associated, so we have downloaded and preprocessed the web pages which contain the images. Regarding t...
Conference Paper
Full-text available
In this paper we present our first participation at RepLab Campaign. Our work is focused in two contributions. The first one is the use of an IR method to address Polarity and Filtering tasks. These two tasks can be seen as the same problem: to find the most relevant class to annotate a given tweet. For that, we applied a classical IR approach, usi...
Conference Paper
Recommender Systems refer to those applications that offer contents or items to the users, based on their previous activity. These systems are broadly used in several fields and applications, being common that an user interact with several recommender systems during his daily activities. However, most of these systems are black boxes which users re...
Conference Paper
Full-text available
The main goal of this paper is to present our experiments in the classification modality and in the ad-hoc image retrieval tasks with the Medical collection at ImageCLEF 2012 Campaign. This edition we focus on applying new strategies for both the textual and the visual subsystems included in our multimodal retrieval system. The visual subsystem has...
Conference Paper
Full-text available
The main goal of this paper it is to present our experiments in ImageCLEF 2011 Campaign (Medical Retrieval Task). This edition we use textual and visual information, based on the assumption that the textual module better captures the meaning of a topic. So that, the TBIR module works firstly and acts as a filter, and the CBIR system reorder the tex...

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Projects

Project (1)
Project
Research project is structured around three focal points of attention: the first will detect the specific needs and interests of different groups; the second will deal with the design and the creation of applications, systems and virtual exhibitions adapted for these three groups, from some virtual thematic tours or visits of the Museo del Prado; finally, the third focus will seek to invigorate an international network that relates the social projection of museology and its application to the accessibility of the culture to specific groups, all of it through the development of the new technological commodities. Website http://www.musacces.es/