Jesus Cid-sueiro | Universidad Carlos III de Madrid (original) (raw)

Papers by Jesus Cid-sueiro

Research paper thumbnail of The Weak Supervision Landscape

2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)

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Research paper thumbnail of Adaptive Signal Processing: A Discussion Of Trade-Offs From The Perspective Of Artificial Learning

Publication in the conference proceedings of EUSIPCO, Trieste, Italy, 1996

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Research paper thumbnail of Saturated Perceptrons for Maximum Margin and Minimum Misclassification Error

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Research paper thumbnail of Content Understanding for Smart Multimedia Systems

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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Research paper thumbnail of Student modeling based on fuzzy inference mechanisms

The IEEE Region 8 EUROCON 2003. Computer as a Tool.

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Research paper thumbnail of Fuzzy student model in InterMediActor platform

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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Research paper thumbnail of Optimal Double Route Search in a Telecommunication Network: A Telecontrol Network Application

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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Research paper thumbnail of Aprendizaje basado en la interacción de usuarios para búsqueda y recuperación de imágenes

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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Research paper thumbnail of Assessment and reuse of contents in the competence-based educational platform InterMediActor

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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Research paper thumbnail of Hierachy-based methodology for producing educational contents with maximal reutilization

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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Research paper thumbnail of Improving Classification under Changes in Class and Within-Class Distributions

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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Research paper thumbnail of Energy-Aware Selective Communications In Sensor Networks

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Research paper thumbnail of Improving Conventional Equalizers with Neural Networks

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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Research paper thumbnail of Recycling weak labels for multiclass classification

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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Research paper thumbnail of Directional Transforms for Video Coding Based on Lifting on Graphs

IEEE Transactions on Circuits and Systems for Video Technology

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Research paper thumbnail of Censoring diffusion for harvesting WSNs

2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015

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Research paper thumbnail of A Real-Time Performance Evaluation of Soft-Decision Digital Equalizers based on Modular Neural Networks

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Research paper thumbnail of Minimax Regret Classifier for Imprecise Class Distributions

Journal of Machine Learning Research

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Research paper thumbnail of Exchanging profiles to connect peers in distributed systems

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Research paper thumbnail of Designing for Emergence in Multi-Agent Systems

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Research paper thumbnail of The Weak Supervision Landscape

2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Adaptive Signal Processing: A Discussion Of Trade-Offs From The Perspective Of Artificial Learning

Publication in the conference proceedings of EUSIPCO, Trieste, Italy, 1996

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Saturated Perceptrons for Maximum Margin and Minimum Misclassification Error

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Content Understanding for Smart Multimedia Systems

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

Research paper thumbnail of Student modeling based on fuzzy inference mechanisms

The IEEE Region 8 EUROCON 2003. Computer as a Tool.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Fuzzy student model in InterMediActor platform

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

Research paper thumbnail of Optimal Double Route Search in a Telecommunication Network: A Telecontrol Network Application

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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Research paper thumbnail of Aprendizaje basado en la interacción de usuarios para búsqueda y recuperación de imágenes

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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Research paper thumbnail of Assessment and reuse of contents in the competence-based educational platform InterMediActor

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

Research paper thumbnail of Hierachy-based methodology for producing educational contents with maximal reutilization

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

Research paper thumbnail of Improving Classification under Changes in Class and Within-Class Distributions

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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Research paper thumbnail of Energy-Aware Selective Communications In Sensor Networks

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Improving Conventional Equalizers with Neural Networks

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

Research paper thumbnail of Recycling weak labels for multiclass classification

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

Research paper thumbnail of Directional Transforms for Video Coding Based on Lifting on Graphs

IEEE Transactions on Circuits and Systems for Video Technology

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Censoring diffusion for harvesting WSNs

2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A Real-Time Performance Evaluation of Soft-Decision Digital Equalizers based on Modular Neural Networks

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Minimax Regret Classifier for Imprecise Class Distributions

Journal of Machine Learning Research

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Exchanging profiles to connect peers in distributed systems

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Designing for Emergence in Multi-Agent Systems

Bookmarks Related papers MentionsView impact