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    Designing CDIO capstone projects: a systems thinking approach  Open access

     Alarcon Cot, Eduardo Jose; Bou Balust, Elisenda; Camps Carmona, Adriano Jose; Bragos Bardia, Ramon; Oliveras Verges, Albert; Pegueroles Valles, Josep Rafel; Sayrol Clols, Elisa; Marques Acosta, Fernando
    International CDIO Conference
    Presentation's date: 2013-06-10
    Presentation of work at congresses

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    Given the all-pervasiveness of Systems thinking -which consists of thinking about things as systems- as a way of reasoning, in this work we will describe its application to make an interpretation of how to conceive and design a final year CDIO capstone course. Both the student teamwork structure as well as the complex engineering system itself addressed in the project are described in terms of entities, links, form and function, thereby pointing out their formal and functional interaction. The ultimate goal of the Systems thinking perspective is, given the necessary ingredients, to try maximizing the chances of the emergence of a fruitful capstone course, namely a culminating project that yields a set of students qualified to CDIO complex engineering systems.

    Given the all-pervasiveness of Systems thinking -which consists of thinking about things as systemsas a way of reasoning, in this work we will describe its application to make an interpretation of how to conceive and design a final year CDIO capstone course. Both the student teamwork structure as well as the complex engineering system itself addressed in the project are described in terms of entities, links, form and function, thereby pointing out their formal and functional interaction. The ultimate goal of the Systems thinking perspective is, given the necessary ingredients, to try maximizing the chances of the emergence of a fruitful capstone course, namely a culminating project that yields a set of students qualified to CDIO complex engineering systems.

  • Ensemble learning and hierarchical data representation for microarray classification

     Bosio, Mattia; Bellot, Pau; Salembier Clairon, Philippe Jean; Oliveras Verges, Albert
    IEEE International Conference on Bioinformatics and Bioengineering
    Presentation's date: 2013-11-11
    Presentation of work at congresses

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    The microarray data classification is an open and active research field. The development of more accurate algorithms is of great interest and many of the developed techniques can be straightforwardly applied in analyzing different kinds of omics data. In this work, an ensemble learning algorithm is applied within a classification framework that already got good predictive results. Ensemble techniques take individual experts, (i.e. classifiers), to combine them to improve the individual expert results with a voting scheme. In this case, a thinning algorithm is proposed which starts by using all the available experts and removes them one by one focusing on improving the ensemble vote. Two versions of a state of the art ensemble thinning algorithm have been tested and three key elements have been introduced to work with microarray data: the ensemble cohort definition, the nonexpert notion, which defines a set of excluded expert from the thinning process, and a rule to break ties in the thinning process. Experiments have been done on seven public datasets from the Microarray Quality Control study, MAQC. The proposed key elements have shown to be useful for the prediction performance and the studied ensemble technique shown to improve the state of the art results by producing classifiers with better predictions.

  • Hierarchical clustering combining numerical and biological similarities for gene expression data classification

     Bosio, Mattia; Salembier Clairon, Philippe Jean; Bellot Pujalte, Pau; Oliveras Verges, Albert
    IEEE Engineering in Medicine and Biology Society
    Presentation's date: 2013-07
    Presentation of work at congresses

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    High throughput data analysis is a challenging problem due to the vast amount of available data. A major concern is to develop algorithms that provide accurate numerical predictions and biologically relevant results. A wide variety of tools exist in the literature using biological knowledge to evaluate analysis results. Only recently, some works have included biological knowledge inside the analysis process improving the prediction results.

  • Multiclass cancer-microarray classification algorithm with Pair-Against-All redundancy

     Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Verges, Albert
    IEEE International Workshop on Genomic Signal Processing and Statistic
    Presentation's date: 2012-12-03
    Presentation of work at congresses

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    Multiclass cancer classification is still a challenging task in the field of machine learning. A novel multiclass approach is proposed in this work as a combination of multiple binary classifiers. It is an example of Error Correcting Output Codes algorithms, applying data transmission coding techniques to improve the classification as a combination of binary classifiers. The proposed method combines the One Against All, OAA, approach with a set of classifiers separating each class-pair from the rest, called Pair Against All, PAA. The OAA+PAA approach has been tested on seven publicly available datasets. It has been compared with the common OAA approach and with state of the art alternatives. The obtained results showed how the OAA+PAA algorithm consistently improves the OAA results, unlike other ECOC algorithms presented in the literature.

  • Microarray classification with hierarchical data representation and novel feature selection criteria

     Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Verges, Albert
    IEEE International Conference on BioInformatics and BioEngineering
    Presentation's date: 2012-11-12
    Presentation of work at congresses

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    Microarray data classification is a challenging problem due to the high number of variables compared to the small number of available samples. An effective methodology to output a precise and reliable classifier is proposed in this work as an improvement of the algorithm in [1]. It considers the sample scarcity problem and the lack of data structure typical of microarrays. Both problem are assessed by a two-step approach applying hierarchical clustering to create new features called metagenes and introducing a novel feature ranking criterion, inside the wrapper feature selection task. The classification ability has been evaluated on 4 publicly available datasets from Micro Array Quality Control study phase II (MAQC) classified by 7 different endpoints. The global results have showed how the proposed approach obtains better prediction accuracy than a wide variety of state of the art alternatives.

    Microarray data classification is a challenging prob- lem due to the high number of variables compared to the small number of available samples. An effective methodology to output a precise and reliable classifier is proposed in this work as an improvement of the algorithm in [1]. It considers the sample scarcity problem and the lack of data structure typical of microarrays. Both problem are assessed by a two-step approach applying hierarchical clustering to create new features called metagenes and introducing a novel feature ranking criterion, inside the wrapper feature selection task. The classification ability has been evaluated on 4 publicly available datasets from Micro Array Quality Control study phase II (MAQC) classified by 7 different endpoints. The global results have showed how the proposed approach obtains better prediction accuracy than a wide variety of state of the art alternatives

  • Gene expression data classification combining hierarchical representation and efficient feature selection

     Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Verges, Albert
    Journal of biological systems
    Date of publication: 2012-12
    Journal article

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    A general framework for microarray data classification is proposed in this paper. It pro- duces precise and reliable classifiers through a two-step approach. At first, the original feature set is enhanced by a new set of features called metagenes. These new features are obtained through a hierarchical clustering process on the original data. Two different metagene generation rules have been analyzed, called Treelets clustering and Euclidean clustering. Metagenes creation is attractive for several reasons: first, they can improve the classification since they broaden the available feature space and capture the com- mon behavior of similar genes reducing the residual measurement noise. Furthermore, by analyzing some of the chosen metagenes for classification with gene set enrichment analysis algorithms, it is shown how metagenes can summarize the behavior of func- tionally related probe sets. Additionally, metagenes can point out, still undocumented, highly discriminant probe sets numerically related to other probes endowed with prior biological information in order to contribute to the knowledge discovery process. The second step of the framework is the feature selection which applies the Improved Sequential Floating Forward Selection algorithm (IFFS) to properly choose a subset from the available feature set for classification composed of genes and metagenes. Considering the microarray sample scarcity problem, besides the classical error rate, a reliability measure is introduced to improve the feature selection process. Different scoring schemes are studied to choose the best one using both error rate and reliability. The Linear Discriminant Analysis classifier (LDA) has been used throughout this work, due to its good characteristics, but the proposed framework can be used with almost any classifier. The potential of the proposed framework has been evaluated analyzing all the publicly available datasets offered by the Micro Array Quality Control Study, phase II (MAQC). The comparative results showed that the proposed framework can compete with a wide variety of state of the art alternatives and it can obtain the best mean performance if a particular setup is chosen. A Monte Carlo simulation confirmed that the proposed framework obtains stable and repeatable results.

  • Implementación y primeros resultados de la asignatura de introducción a la ingeniería en los nuevos grados de la ETSETB-UPC

     Bragos Bardia, Ramon; Pegueroles Valles, Josep Rafel; Alarcon Cot, Eduardo Jose; Camps Carmona, Adriano Jose; Sarda Ferrer, Joan; Consolacion Segura, Carolina Maria; Mussons Selles, Jaume; Pons Peregort, Olga; Oliveras Verges, Albert; Garcia Hernandez, Miguel Jesus; Onrubia Ibañez, Raul; Sayrol Clols, Elisa
    Conferencia Internacional de Fomento e Innovación con Nuevas Tecnologías en la Docencia de la Ingeniería
    Presentation's date: 2011-05-05
    Presentation of work at congresses

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    En este trabajo se describe la asignatura "Introducción a la Ingeniería de las TIC" que, basándose en restricciones y especificaciones iniciales, ha sido concebida, diseñada e implementada en la ETSETB de la UPC. Es la primera de una serie de cuatro asignaturas de proyectos distribuidas a lo largo de los grados. Está organizada en tres itinerarios paralelos que cubren la visión de sistema TIC complejo, los conceptos básicos de economía, empresa y gestión de proyectos y la realización física de un proyecto. En los primeros 5 años este proyecto se lleva a cabo sobre la plataforma SeaPerch, un pequeño robot subacuático desarrollado en el MIT Sea Grant, sobre el que se diseñan y construyen sistemas de medida y comunicaciones. Después de probarla con grupos pequeños durante dos cuatrimestres, se acomete su explotación con una previsión de 250 estudiantes en el cuatrimestre de primavera de este año.

  • Implementation and first results of the Introduction to Engineering course in the ETSETB-UPC new degrees

     Bragos Bardia, Ramon; Pergueroles, Josep; Alarcon Cot, Eduardo Jose; Camps Carmona, Adriano Jose; Sarda Ferrer, Joan; Consolacion Segura, Carolina Maria; Mussons Selles, Jaume; Pons Peregort, Olga; Oliveras Verges, Albert; García, Miguel; Onrubia Ibañez, Raul; Sayrol Clols, Elisa
    Conferencia Internacional de Fomento e Innovación con Nuevas Tecnologías en la Docencia de la Ingeniería
    Presentation of work at congresses

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    This paper describes the new course "Introduction to ICT Engineering" which has been conceived, designed and implemented at Telecom-BCN (ETSETB-UPC) from initial specifications and restrictions. It is the first of a series of four project subjects distributed throughout the new curricula. It is organized in three parallel paths covering the systemic vision of complex ICT systems, the basic concepts of economics, business and project management and the physical realization of a design-build project. In the first 5 years, this project is beling performed using the SeaPerch platform, a small underwater robot developed at MIT Sea Grant. A payload which includes measurement and communications subsystems is designed and built. After testing with small groups for two semesters, the course will be undertaken with around 250 students in the spring semester of this year.

  • Feature set enhancement via hierarchical clustering for microarray classification

     Bosio, Mattia; Bellot Pujalte, Pau; Salembier Clairon, Philippe Jean; Oliveras Verges, Albert
    IEEE International Workshop on Genomic Signal Processing and Statistics
    Presentation's date: 2011
    Presentation of work at congresses

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  • Procesado de vídeo multicámara empleando información de la escena: aplicación a eventos deportivos, interacción visual y 3DTV

     Giro Nieto, Xavier; Oliveras Verges, Albert; Gasull Llampallas, Antoni; Salembier Clairon, Philippe Jean; Marques Acosta, Fernando; Sayrol Clols, Elisa; Pardas Feliu, Montserrat; Morros Rubió, Josep Ramon; Ruiz Hidalgo, Javier; Vilaplana Besler, Veronica; Casas Pla, Josep Ramon
    Participation in a competitive project

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  • Adquisición multicámara para Free Viewpoint Video (MC4FVV)

     Pardas Feliu, Montserrat; Giro Nieto, Xavier; Vilaplana Besler, Veronica; Ruiz Hidalgo, Javier; Morros Rubió, Josep Ramon; Salembier Clairon, Philippe Jean; Marques Acosta, Fernando; Gasull Llampallas, Antoni; Oliveras Verges, Albert; Sayrol Clols, Elisa; Casas Pla, Josep Ramon
    Participation in a competitive project

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  • GRUP DE PROECESSAMENT D'IMATGE I VIDEO (GPI)

     Ruiz Hidalgo, Javier; Marques Acosta, Fernando; Oliveras Verges, Albert; Sayrol Clols, Elisa; Pardas Feliu, Montserrat; Morros Rubió, Josep Ramon; Vilaplana Besler, Veronica; Giro Nieto, Xavier; Gasull Llampallas, Antoni; Salembier Clairon, Philippe Jean; Casas Pla, Josep Ramon
    Participation in a competitive project

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  • Maximum likelihood factor analysis in malaria cytokines analysis and modelling

     Oliveras Verges, Albert
    IEEE International Workshop on Genomic Signal Processing and Statistics
    Presentation's date: 2009-05-18
    Presentation of work at congresses

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  • Procesado de vídeo en entornos controlados: aplicación a seguridad, salas inteligentes y telepresencia (PROVEC)

     Casas Pla, Josep Ramon; Gasull Llampallas, Antoni; Giro Nieto, Xavier; Marques Acosta, Fernando; Morros Rubió, Josep Ramon; Oliveras Verges, Albert; Pardas Feliu, Montserrat; Ruiz Hidalgo, Javier; Salembier Clairon, Philippe Jean; Sayrol Clols, Elisa; Vilaplana Besler, Veronica
    Participation in a competitive project

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  • 2005SGR-00341 GRUP DE PROCESSAMENT D'IMATGE I VIDEO

     Gasull Llampallas, Antoni; Casas Pla, Josep Ramon; Giro Nieto, Xavier; Marques Acosta, Fernando; Morros Rubió, Josep Ramon; Oliveras Verges, Albert; Pardas Feliu, Montserrat; Ruiz Hidalgo, Javier; Salembier Clairon, Philippe Jean; Sayrol Clols, Elisa; Vilaplana Besler, Veronica
    Participation in a competitive project

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  • 2001SGR-00265 GRUP DE TRACTAMENT DE LA IMATGE

     Casas Pla, Josep Ramon; Gasull Llampallas, Antoni; Giro Nieto, Xavier; Marques Acosta, Fernando; Morros Rubió, Josep Ramon; Oliveras Verges, Albert; Pardas Feliu, Montserrat; Ruiz Hidalgo, Javier; Salembier Clairon, Philippe Jean; Vilaplana Besler, Veronica
    Participation in a competitive project

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  • Editor gráfico de figuras MATLAB

     Gasull Llampallas, Antoni; Sayrol Clols, Elisa; Moreno Bilbao, M. Asuncion; Vallverdu Bayes, Francisco; Salavedra Moli, Josep; Oliveras Verges, Albert
    III Congreso de Usuarios de MATLAB
    Presentation of work at congresses

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  • Editor Gráfico de Figuras MATLAB

     Gasull Llampallas, Antoni; Sayrol Clols, Elisa; Moreno Bilbao, M. Asuncion; Vallverdu Bayes, Francisco; Salavedra Moli, Josep; Oliveras Verges, Albert
    III Congreso de Usuarios de MATLAB
    Presentation of work at congresses

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  • Simulación digital de señales y sistemas analógicos

     Sayrol Clols, Elisa; Gasull Llampallas, Antoni; Moreno Bilbao, M. Asuncion; Vallverdu Bayes, Francisco; Salavedra Moli, Josep; Oliveras Verges, Albert
    III Congreso de Usuarios de MATLAB
    Presentation of work at congresses

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  • Simulación Digital de Señales y Sistemas Analógicos

     Sayrol Clols, Elisa; Gasull Llampallas, Antoni; Salavedra Moli, Josep; Moreno Bilbao, M. Asuncion; Vallverdu Bayes, Francisco; Oliveras Verges, Albert
    III Congreso de Usuarios de MATLAB
    Presentation of work at congresses

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  • Antiextensive connected operators for image and sequence processing

     Salembier Clairon, Philippe Jean; Oliveras Verges, Albert; Garrido Ostermann, Luis
    IEEE transactions on image processing
    Date of publication: 1998-04
    Journal article

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  • Contribució a l'anàlisi morfològica d'imatges amb operadors connexes.

     Oliveras Verges, Albert
    Defense's date: 1997-07-31
    Department of Automatic Control, Universitat Politècnica de Catalunya
    Theses

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  • Stereo Image Analysis using Connected Operators

     Oliveras Verges, Albert; Salembier Clairon, Philippe Jean; Garrido Ostermann, Luis
    IEEE INTERNATIONAL CONFERENCE ON ACOUSTIC, SPEECH AND SIGNAL PROCESSING (ICASSP'97)
    Presentation of work at congresses

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  • Anti-extensive Connected Operators with Application to Image Sequences

     Garrido Ostermann, Luis; Salembier Clairon, Philippe Jean; Oliveras Verges, Albert
    Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes
    Presentation's date: 1997-04-24
    Presentation of work at congresses

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  • PRESENTACIÓ DEL POSTER " ANALYSIS OF STEREO IMAGES USING CONNECTED OPERATORS"

     Oliveras Verges, Albert
    IEEE INTERNATIONAL CONFERENCE ON ACOUSTIC, SPEECH AND SIGNAL PROCESSING (ICASSP'97)
    Presentation's date: 1997-04-21
    Presentation of work at congresses

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  • Analysis of stereo images using connected operators

     Oliveras Verges, Albert; GARRIDO, LUIS; Salembier Clairon, Philippe Jean
    IEEE INTERNATIONAL CONFERENCE ON ACOUSTIC, SPEECH AND SIGNAL PROCESSING (ICASSP'97)
    Presentation of work at congresses

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  • Motion analysis of image sequences using connected operators

     Garrido Ostermann, Luis; Oliveras Verges, Albert; Salembier Clairon, Philippe Jean
    SPIE VISUAL COMMUNICATIONS AND IMAGE PROCESSING, VCIP '97
    Presentation of work at congresses

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  • Morphological tools for segmentation: connected operators and watersheds

     Meyer, F; Oliveras Verges, Albert; Salembier Clairon, Philippe Jean; Vachier, C
    Annales des télecommunications. Annals of telecommunications
    Date of publication: 1997-08
    Journal article

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  • Complexity connected operators

     Oliveras Verges, Albert; Salembier Clairon, Philippe Jean
    SPIE'S 1996 SYMPOSIUM ON "VISUAL COMMUNICATIONS AND IMAGE PROCESSING '96"
    Presentation of work at congresses

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  • CONNECTED OPERATORS WITH APPLICATION TO COMPLEXITY AND MOTION

     Salembier Clairon, Philippe Jean; Oliveras Verges, Albert; Garrido, L
    Date: 1996-05
    Report

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  • Practical extensions of connected operators

     Oliveras Verges, Albert; Salembier Clairon, Philippe Jean
    WORKSHOP ON MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO IMAGE
    Presentation of work at congresses

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  • Generalized connected operators

     Oliveras Verges, Albert; Salembier Clairon, Philippe Jean
    VISUAL COMMUNICATION AND IMAGE PROCESSING
    Presentation of work at congresses

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  • COMPLEXITY CONNECTED OPERATORS

     Oliveras Verges, Albert
    SPIE'S 1996 SYMPOSIUM ON "VISUAL COMMUNICATIONS AND IMAGE PROCESSING '96"
    Presentation's date: 1996-03-17
    Presentation of work at congresses

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  • Motion connected operators for image sequences

     Salembier Clairon, Philippe Jean; Oliveras Verges, Albert; Garrido, L
    European Signal Processing Conference
    Presentation of work at congresses

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  • FILTERING METHOD AND CORRESPONDING FILTERING SYSTEM

     Oliveras Verges, Albert; Salembier Clairon, Philippe Jean; GARRIDO, LUIS
    Date of request: 1996-03-13
    Invention patent

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  • TWO LEVEL CONTINUOUS SPEECH RECOGNITION USING DEMISYLLABLE BASED HMM WORD SPOT

     Oliveras Verges, Albert
    EUROPEAN CONF. ON SPEECH COMMUN. AND TECHN. EUROSPEECH'91
    Presentation's date: 1991-09-01
    Presentation of work at congresses

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  • RECONOCIMIENTO DEL HABLA

     Lleida Solano, Eduardo; Oliveras Verges, Albert
    Date: 1991-05
    Report

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  • Two level c.s.r. using demisyllable..

     Lleida Solano, Eduardo; Oliveras Verges, Albert; Nadeu Camprubí, Climent; Mariño Acebal, Jose Bernardo
    EUROPEAN CONF. ON SPEECH COMMUN. AND TECHN. EUROSPEECH'91
    Presentation of work at congresses

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  • Tou - Brazo Robot Asistencial: Control Verbal

     Oliveras Verges, Albert; Fuertes Armengol, José Mª; Villà, R
    2º Congreso de la Asociación Española de Robótica
    Presentation of work at congresses

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  • Simbad:a tool for speech analysis and synthesis

     Nadeu Camprubí, Climent; Oliveras Verges, Albert; Mariño Acebal, Jose Bernardo
    IASTED INT.CONF.SIGNAL PROC.&DIG.FILT.
    Presentation of work at congresses

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