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Publicações

Publicações por Mário Miguel Cordeiro

2015

Streaming networks sampling using top-K networks

Autores
Sarmento, R; Cordeiro, M; Gama, J;

Publicação
ICEIS 2015 - 17th International Conference on Enterprise Information Systems, Proceedings

Abstract
The combination of top-K network representation of the data stream with community detection is a novel approach to streaming networks sampling. Keeping an always up-to-date sample of the full network, the advantage of this method, compared to previous, is that it preserves larger communities and original network distribution. Empirically, it will also be shown that these techniques, in conjunction with community detection, provide effective ways to perform sampling and analysis of large scale streaming networks with power law distributions.

2018

Incremental TextRank - Automatic Keyword Extraction for Text Streams

Autores
Sarmento, RP; Cordeiro, M; Brazdil, P; Gama, J;

Publicação
Proceedings of the 20th International Conference on Enterprise Information Systems, ICEIS 2018, Funchal, Madeira, Portugal, March 21-24, 2018, Volume 1.

Abstract
Text Mining and NLP techniques are a hot topic nowadays. Researchers thrive to develop new and faster algorithms to cope with larger amounts of data. Particularly, text data analysis has been increasing in interest due to the growth of social networks media. Given this, the development of new algorithms and/or the upgrade of existing ones is now a crucial task to deal with text mining problems under this new scenario. In this paper, we present an update to TextRank, a well-known implementation used to do automatic keyword extraction from text, adapted to deal with streams of text. In addition, we present results for this implementation and compare them with the batch version. Major improvements are lowest computation times for the processing of the same text data, in a streaming environment, both in sliding window and incremental setups. The speedups obtained in the experimental results are significant. Therefore the approach was considered valid and useful to the research community. Copyright

2018

Evolving Networks and Social Network Analysis Methods and Techniques

Autores
Cordeiro, M; Sarmento, RP; Brazdil, P; Gama, J;

Publicação
Social Media and Journalism - Trends, Connections, Implications

Abstract

2019

Identifying, Ranking and Tracking Community Leaders in Evolving Social Networks

Autores
Cordeiro, M; Sarmento, RP; Brazdil, P; Kimura, M; Gama, J;

Publicação
Complex Networks and Their Applications VIII - Volume 1 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019, Lisbon, Portugal, December 10-12, 2019.

Abstract
Discovering communities in a network is a fundamental and important problem to complex networks. Find the most influential actors among its peers is a major task. If on one side, studies on community detection ignore the influence of actors and communities, on the other hand, ignoring the hierarchy and community structure of the network neglect the actor or community influence. We bridge this gap by combining a dynamic community detection method with a dynamic centrality measure. The proposed enhanced dynamic hierarchical community detection method computes centrality for nodes and aggregated communities and selects each community representative leader using the ranked centrality of every node belonging to the community. This method is then able to unveil, track, and measure the importance of main actors, network intra and inter-community structural hierarchies based on a centrality measure. The empirical analysis performed, using two temporal networks shown that the method is able to find and tracking community leaders in evolving networks. © 2020, Springer Nature Switzerland AG.

2009

REUSE OF VIDEO ANNOTATIONS BASED ON LOW-LEVEL DESCRIPTOR SIMILARITY

Autores
Cordeiro, M; Ribeiro, C;

Publicação
2009 10TH INTERNATIONAL WORKSHOP ON IMAGE ANALYSIS FOR MULTIMEDIA INTERACTIVE SERVICES

Abstract
The paper proposes a mixed annotation approach that exploits the advantages of both automatic and manual annotation techniques. Annotated multimedia material is regarded as a source of low- to high-level feature mappings supporting the propagation of annotations to new multimedia material. Video analysis tools do not currently produce effective annotations for retrieval, while manual annotation is expensive. The proposed approach uses low-level feature similarity to guide the retrieval of keyword annotations and aims to preserve the high quality of manual annotations while reducing the time and cost per annotated video unit. The annotation tool assists users, suggesting keywords for an item that come from similar items according to low-level descriptors. The effectiveness of current descriptors has been evaluated in an experimental environment using 5 video collections and a set of MPEG-7 descriptors. The similarity results have been compared to manually evaluated similarity.

2004

The ASSET architecture - Integrating media applications and products through a unified API

Autores
Cordeiro, M; Viana, P; Ruela, J; Body, M; Cousin, B; Bommart, D; Ferrari, G; Bernet, W; Strambini, M; Muller, E; Laurentin, M; Algayres, B; Daulard, S; Hontsch, I; Marx, T;

Publicação
SMPTE MOTION IMAGING JOURNAL

Abstract
Applications and products currently available for the broadcasting market are vertically integrated or proprietary They are based on components requiring specific and costly development to interoperate and typically rely on a single manufacturer or system integrator Hence, they are not fully compliant with broadcasters' requirements. Architectural Solutions for Services Enhancing digital Television (ASSET) is a European-funded project. Its main goal is to overcome the limitations of custom-specific implementations in a digital system for TV content creation. These limitations are generally due to the misfit of interfaces between software layers, proprietary application program interfaces (APIs) of equipment from different vendors, and the lack of a generalized middleware for multimedia content management with openly defined interfaces. Besides presenting the ASSET-proposed architecture and concepts, this paper describes the prototype under development to test and demonstrate the project proposals.

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