Jesus Cid-sueiro | Universidad Carlos III de Madrid (original) (raw)
Papers by Jesus Cid-sueiro
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
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Publication in the conference proceedings of EUSIPCO, Trieste, Italy, 1996
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EUROCON 2005 - The International Conference on "Computer as a Tool", 2005
Abstract The paper is presenting a core idea of the research line, dedicated to tools and utiliti... more Abstract The paper is presenting a core idea of the research line, dedicated to tools and utilities for a more friendly information access. In order to make future multimedia systems smarter, new mechanisms for high-level data and user understanding need to be embedded in multimedia communication systems
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The IEEE Region 8 EUROCON 2003. Computer as a Tool.
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International Conference on Information Technology Interfaces, 2004
The paper deals with personalization of navigation in the educational content, introduced in a co... more The paper deals with personalization of navigation in the educational content, introduced in a competence-based instructional design system InterMediActor. The system constructs an individualized navigation graph for each student and thus suggests the learning objectives the student is most prepared to attain. The navigation tools rely on the graph of dependencies between competences, and the student model. We use fuzzy
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IEEE Transactions on Reliability, 2011
High availability communication networks with very low failure rates are often designed by using ... more High availability communication networks with very low failure rates are often designed by using physical diversity, i.e., the traffic between a given pair of nodes is routed by using several physically disjoint paths. The selection of the pair of routes that maximizes the connectivity of a node is not an easy problem, be- causesuchconnectivitycannotbeexpressedasanadditivefunction of the availability of links and
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Se propone, al amparo del proyecto “Nuevos Algoritmos para la Gestión Eficiente de Contenidos Mul... more Se propone, al amparo del proyecto “Nuevos Algoritmos para la Gestión Eficiente de Contenidos Multimedia en Redes de Comunicaciones Móviles”(NAGEC), un nuevo mecanismo para la búsqueda y recuperación de imágenes basado en realimentación de relevancia. La arquitectura propuesta se compone de una red neuronal y un tesauro. La red neuronal extrae de las imágenes dos parámetros: textura y color. El tesauro recoge las relaciones semánticas existentes entre los términos descriptores de las imágenes de la ...
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WSEAS Transactions on Computers. 2004; 1 (3): 115-121, 2004
This paper describes a failure alert system and a methodology for content reuse in a new instruct... more This paper describes a failure alert system and a methodology for content reuse in a new instructional design system called InterMediActor (IMA). IMA provides an environment for instructional content design, production and reuse, and for students' evaluation based in content specification through a hierarchical structure of competences. The student assessment process and information extraction process for content reuse are explained.
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Computer based training or distance education are facing dramatic changes with the advent of stan... more Computer based training or distance education are facing dramatic changes with the advent of standardization efforts, some of them concentrating in maximal reuse. This is of paramount importance for a sustainable-cost affordable-production of educational materials. Reuse in itself should not be a goal, though, since many methodological aspects might be lost. In this paper we propose two content production approaches for the InterMediActor platform under a competence-based methodology: either a bottom-up approach where ...
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Lecture Notes in Computer Science, 2009
Abstract. The fundamental assumption that training and operational data come from the same probab... more Abstract. The fundamental assumption that training and operational data come from the same probability distribution, which is the basis of most learning algorithms, is often not satisfied in practice. Several algorithms have been proposed to cope with classification problems where the class priors may change after training, but they can show a poor performance when the class conditional data densities also change. In this paper, we propose a re-estimation algorithm that makes use of unlabeled operational data to adapt ...
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Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications
Abstract In this paper we show that the low detection capabilities of conventional equalizers (li... more Abstract In this paper we show that the low detection capabilities of conventional equalizers (linear and decision feedback equalizers) and the excessive complexity of those based on neural networks can be avoided by means of mixed schemes. Linear equalizers aided by controid selection (as in Radial Basis Function networks) improve performance over the standard linear FIR equalization approach, and modified DFE based on bi-layer perceptron avoids error propagation, outperforming conventional schemes. 1
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Neurocomputing
Abstract This paper explores the mechanisms to efficiently combine annotations of different quali... more Abstract This paper explores the mechanisms to efficiently combine annotations of different quality for multiclass classification datasets, as we argue that it is easier to obtain large collections of weak labels as opposed to true labels. Since labels come from different sources, their annotations may have different degrees of reliability (e.g., noisy labels, supersets of labels, complementary labels or annotations performed by domain experts), and we must make sure that the addition of potentially inaccurate labels does not degrade the performance achieved when using only true labels. For this reason, we consider each group of annotations as being weakly supervised and pose the problem as finding the optimal combination of such collections. We propose an efficient algorithm based on expectation-maximization and show its performance in both synthetic and real-world classification tasks in a variety of weak label scenarios.
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IEEE Transactions on Circuits and Systems for Video Technology
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2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015
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Journal of Machine Learning Research
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2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
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Publication in the conference proceedings of EUSIPCO, Trieste, Italy, 1996
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
EUROCON 2005 - The International Conference on "Computer as a Tool", 2005
Abstract The paper is presenting a core idea of the research line, dedicated to tools and utiliti... more Abstract The paper is presenting a core idea of the research line, dedicated to tools and utilities for a more friendly information access. In order to make future multimedia systems smarter, new mechanisms for high-level data and user understanding need to be embedded in multimedia communication systems
Bookmarks Related papers MentionsView impact
The IEEE Region 8 EUROCON 2003. Computer as a Tool.
Bookmarks Related papers MentionsView impact
International Conference on Information Technology Interfaces, 2004
The paper deals with personalization of navigation in the educational content, introduced in a co... more The paper deals with personalization of navigation in the educational content, introduced in a competence-based instructional design system InterMediActor. The system constructs an individualized navigation graph for each student and thus suggests the learning objectives the student is most prepared to attain. The navigation tools rely on the graph of dependencies between competences, and the student model. We use fuzzy
Bookmarks Related papers MentionsView impact
IEEE Transactions on Reliability, 2011
High availability communication networks with very low failure rates are often designed by using ... more High availability communication networks with very low failure rates are often designed by using physical diversity, i.e., the traffic between a given pair of nodes is routed by using several physically disjoint paths. The selection of the pair of routes that maximizes the connectivity of a node is not an easy problem, be- causesuchconnectivitycannotbeexpressedasanadditivefunction of the availability of links and
Bookmarks Related papers MentionsView impact
Se propone, al amparo del proyecto “Nuevos Algoritmos para la Gestión Eficiente de Contenidos Mul... more Se propone, al amparo del proyecto “Nuevos Algoritmos para la Gestión Eficiente de Contenidos Multimedia en Redes de Comunicaciones Móviles”(NAGEC), un nuevo mecanismo para la búsqueda y recuperación de imágenes basado en realimentación de relevancia. La arquitectura propuesta se compone de una red neuronal y un tesauro. La red neuronal extrae de las imágenes dos parámetros: textura y color. El tesauro recoge las relaciones semánticas existentes entre los términos descriptores de las imágenes de la ...
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WSEAS Transactions on Computers. 2004; 1 (3): 115-121, 2004
This paper describes a failure alert system and a methodology for content reuse in a new instruct... more This paper describes a failure alert system and a methodology for content reuse in a new instructional design system called InterMediActor (IMA). IMA provides an environment for instructional content design, production and reuse, and for students' evaluation based in content specification through a hierarchical structure of competences. The student assessment process and information extraction process for content reuse are explained.
Bookmarks Related papers MentionsView impact
Computer based training or distance education are facing dramatic changes with the advent of stan... more Computer based training or distance education are facing dramatic changes with the advent of standardization efforts, some of them concentrating in maximal reuse. This is of paramount importance for a sustainable-cost affordable-production of educational materials. Reuse in itself should not be a goal, though, since many methodological aspects might be lost. In this paper we propose two content production approaches for the InterMediActor platform under a competence-based methodology: either a bottom-up approach where ...
Bookmarks Related papers MentionsView impact
Lecture Notes in Computer Science, 2009
Abstract. The fundamental assumption that training and operational data come from the same probab... more Abstract. The fundamental assumption that training and operational data come from the same probability distribution, which is the basis of most learning algorithms, is often not satisfied in practice. Several algorithms have been proposed to cope with classification problems where the class priors may change after training, but they can show a poor performance when the class conditional data densities also change. In this paper, we propose a re-estimation algorithm that makes use of unlabeled operational data to adapt ...
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Bookmarks Related papers MentionsView impact
Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications
Abstract In this paper we show that the low detection capabilities of conventional equalizers (li... more Abstract In this paper we show that the low detection capabilities of conventional equalizers (linear and decision feedback equalizers) and the excessive complexity of those based on neural networks can be avoided by means of mixed schemes. Linear equalizers aided by controid selection (as in Radial Basis Function networks) improve performance over the standard linear FIR equalization approach, and modified DFE based on bi-layer perceptron avoids error propagation, outperforming conventional schemes. 1
Bookmarks Related papers MentionsView impact
Neurocomputing
Abstract This paper explores the mechanisms to efficiently combine annotations of different quali... more Abstract This paper explores the mechanisms to efficiently combine annotations of different quality for multiclass classification datasets, as we argue that it is easier to obtain large collections of weak labels as opposed to true labels. Since labels come from different sources, their annotations may have different degrees of reliability (e.g., noisy labels, supersets of labels, complementary labels or annotations performed by domain experts), and we must make sure that the addition of potentially inaccurate labels does not degrade the performance achieved when using only true labels. For this reason, we consider each group of annotations as being weakly supervised and pose the problem as finding the optimal combination of such collections. We propose an efficient algorithm based on expectation-maximization and show its performance in both synthetic and real-world classification tasks in a variety of weak label scenarios.
Bookmarks Related papers MentionsView impact
IEEE Transactions on Circuits and Systems for Video Technology
Bookmarks Related papers MentionsView impact
2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Journal of Machine Learning Research
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact