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  • Publication . Part of book or chapter of book . Other literature type . 2018
    Open Access French
    Authors: 
    Dolz, Joaquim; Laurens, Véronique; Messias Ribeiro Da Silva-Hardmeyer, Carla;
    Publisher: HAL CCSD
    Countries: France, Switzerland

    International audience

  • Publication . Part of book or chapter of book . Other literature type . Conference object . 2018
    Open Access
    Authors: 
    Boonserm Kulvatunyou; Evan K. Wallace; Dimitris Kiritsis; Barry Smith; Chris Will;
    Publisher: SPRINGER-VERLAG BERLIN
    Country: Switzerland

    Part 6: Industry 4.0 - Smart Factory; International audience; The current industrial revolution is said to be driven by the digitization that exploits connected information across all aspects of manufacturing. Standards have been recognized as an important enabler. Ontology-based information standard may provide benefits not offered by current information standards. Although there have been ontologies developed in the industrial manufacturing domain, they have been fragmented and inconsistent, and little has received a standard status. With successes in developing coherent ontologies in the biological, biomedical, and financial domains, an effort called Industrial Ontologies Foundry (IOF) has been formed to pursue the same goal for the industrial manufacturing domain. However, developing a coherent ontology covering the entire industrial manufacturing domain has been known to be a mountainous challenge because of the multidisciplinary nature of manufacturing. To manage the scope and expectations, the IOF community kicked-off its effort with a proof-of-concept (POC) project. This paper describes the developments within the project. It also provides a brief update on the IOF organizational set up.

  • Publication . Part of book or chapter of book . 2021
    Open Access English
    Authors: 
    Pierre Penet; Juan Flores Zendejas;
    Publisher: HAL CCSD
    Country: France

    International audience; During the nineteenth century, free trade and financial integration contributed to what is often referred to as the first globalization wave (1820-1914) (Flandreau, 2013; Flandreau & Zumer, 2004; Mauro et al., 2006). As creditors began to expand the reach of their operations by investing in the bonds of foreign nations, sometime from overseas, lending became more perilous. For instance, British investors often knew little about the Latin American countries whose bonds they were purchasing.¹ Nineteenth-century cross-border lending exemplifies the problem of information asymmetries familiar to economists (Stiglitz, 2000). In this case, uncertainties were compounded by the fact that lenders in the sovereign sector could not mitigate default risk by collateralizing their loans: as a rule, ownership of public assets cannot be transferred to foreigners. To reduce the anxiety of long-distance investing, investors began to seek information pertaining to the trust and credit profile of foreign borrowers. Since investors did not always possess sufficient organizational capabilities and resources to examine the facts, risk analysis was delegated to intermediaries, in particular merchant banks. As informational third parties, merchant banks performed the important function of certifying the credit of debtors, thus providing a practicable solution to the problem of uncertainty in sovereign lending (Flandreau & Flores, 2009). Such banks owned a 'brand' that could grant borrowing states market access on more favourable terms. Gradually, the notion of creditworthiness became cardinal in international lending and borrowing. Technologies of risk assessment played a cardinal role in the building of nineteenth-century debt markets (Carruthers, 2013). The tools of risk analysis which have become so ubiquitous recently can be traced back to the nineteenth ¹ The controversy about Poyais provides a good testimony of how difficult it was for creditors to invest abroad without reliable information to rely on. Poyais, as it turned out, was a fictitious country (Clavel, 2020).

  • Open Access English
    Authors: 
    Philippe Dessus; Julie Chabert; Jean-Philippe Pernin; Philippe Wanlin;
    Publisher: HAL CCSD
    Countries: Switzerland, France

    International audience; This paper introduces to Class-Card, a role-playing simulation allowing pre-service teachers to experience a large part of the instructional process, from planning, to post-active phases. The players first have to perform a cognitive analysis of the learning tasks of a lesson, then they are faced with disruptive events they react on, guided by theoretically-sound frameworks. We examined seven pre-service teacher students using Class-Card on five simulations. The results show that participants were engaged in rich decisions and verbal interactions about the events they were faced to. We contend that Class-Card is a promising way to attenuate the "reality-shock" novice teachers experience and help them build professional knowledge.

  • Publication . Article . Other literature type . Preprint . Book . Part of book or chapter of book . 2022
    Open Access French
    Authors: 
    Duc, Barbara; Lamamra, Nadia;
    Publisher: Zenodo
    Countries: Switzerland, France

    1. Le recrutement des apprenti-e-s du point de vue des formateurs et formatrices en entreprise En Suisse, la formation professionnelle initiale duale, qui alterne formation en école (un à deux jours) et en entreprise (trois à quatre jours), est la voie la plus fréquentée par les jeunes sortant de l’école obligatoire (SEFRI, 2019). Le recrutement, très peu régulé par l’Etat (Imdorf, 2018), comme en France, il est largement laissé à la charge des entreprises formatrices. Les logiques de recrut...

  • Publication . Conference object . Article . Part of book or chapter of book . 2020
    Open Access English
    Authors: 
    Alexis Joly; Hervé Goëau; Stefan Kahl; Christophe Botella; Rafael Ruiz De Castaneda; Hervé Glotin; Elijah Cole; Julien Champ; Benjamin Deneu; Maximillien Servajean; +6 more
    Publisher: HAL CCSD
    Country: France
    Project: NSF | Graduate Research Fellows... (1745301), ANR | SMILES (ANR-18-CE40-0014), EC | COS4CLOUD (863463)

    International audience; Building accurate knowledge of the identity, the geographic distribution and the evolution of species is essential for the sustainable development of humanity, as well as for biodiversity conservation. However, the difficulty of identifying plants and animals in the field is hindering the aggregation of new data and knowledge. Identifying and naming living plants or animals is almost impossible for the general public and is often difficult even for professionals and naturalists. Bridging this gap is a key step towards enabling effective biodiversity monitoring systems. The LifeCLEF campaign, presented in this paper, has been promoting and evaluating advances in this domain since 2011. The 2020 edition proposes four data-oriented challenges related to the identification and prediction of biodiversity: (i) PlantCLEF: cross-domain plant identification based on herbarium sheets, (ii) BirdCLEF: bird species recognition in audio soundscapes, (iii) GeoLifeCLEF: location-based prediction of species based on environmental and occurrence data, and (iv) SnakeCLEF: image-based snake identification.

  • Publication . Conference object . Part of book or chapter of book . 2018
    Open Access English
    Authors: 
    Guido Bologna;
    Publisher: HAL CCSD

    Part 5: MAKE Explainable AI; International audience; Convolutional Neural Networks (CNNs) lack an explanation capability in the form of propositional rules. In this work we define a simple CNN architecture having a unique convolutional layer, then a Max-Pool layer followed by a full connected layer. Rule extraction is performed after the Max-Pool layer with the use of the Discretized Interpretable Multi Layer Perceptron (DIMLP). The antecedents of the extracted rules represent responses of convolutional filters, which are difficult to understand. However, we show in a sentiment analysis problem that from these “meaningless” values it is possible to obtain rules that represent relevant words in the antecedents. The experiments illustrate several examples of rules that represent n-grams.

  • Publication . Other literature type . Conference object . Part of book or chapter of book . 2020
    Open Access English
    Authors: 
    Lucie Gianola; Ēriks Ajausks; Victoria Arranz; Chomicha Bendahman; Laurent Bié; Claudia Borg; Aleix Cerdà; Khalid Choukri; Montse Cuadros; Ona de Gibert; +19 more
    Publisher: HAL CCSD
    Countries: Spain, France

    The European MAPA (Multilingual Anonymisation for Public Administrations) project aims at developing an open-source solution for automatic de-identification of medical and legal documents. We introduce here the context, partners and aims of the project, and report on preliminary results. Peer Reviewed "Article signat per 30 autors/es: Lucie Gianola, Ēriks Ajausks, Victoria Arranz, Chomicha Bendahman, Laurent Bié, Claudia Borg, Aleix Cerdà, Khalid Choukri, Montse Cuadros, Ona De Gibert, Hans Degroote, Elena Edelman, Thierry Etchegoyhen, Ángela Franco Torres, Mercedes García Hernandez, Aitor García Pablos, Albert Gatt, Cyril Grouin, Manuel Herranz, Alejandro Adolfo Kohan, Thomas Lavergne, Maite Melero, Patrick Paroubek, Mickaël Rigault, Mike Rosner, Roberts Rozis, Lonneke Van Der Plas, Rinalds Vīksna, Pierre Zweigenbaum"

  • Publication . Part of book or chapter of book . Conference object . Other literature type . 2020
    Open Access
    Authors: 
    Felsberger, Lukas; Apollonio, Andrea; Cartier-Michaud, Thomas; Todd, Benjamin; Müller, Andreas; Kranzlmüller, Dieter; Apollonio, Andrea;
    Publisher: Springer International Publishing
    Country: France

    International audience; Sophisticated infrastructures often exhibit misbehaviour and failures resulting from complex interactions of their constituent subsystems. Such infrastructures use alarms, event and fault information, which is recorded to help diagnose and repair failure conditions by operations experts. This data can be analysed using explainable artificial intelligence to attempt to reveal precursors and eventual root causes. The proposed method is first applied to synthetic data in order to prove functionality. With synthetic data the framework makes extremely precise predictions and root causes can be identified correctly. Subsequently, the method is applied to real data from a complex particle accelerator system. In the real data setting, deep learning models produce accurate predictive models from less than ten error examples when precursors are captured. The approach described herein is a potentially valuable tool for operations experts to identify precursors in complex infrastructures.

  • Publication . Part of book or chapter of book . 2020
    Open Access English
    Authors: 
    Luis Velasco-Pufleau;
    Publisher: HAL CCSD
    Country: France

    International audience; Militant anashid (Islamic chants or recitations) are used, chanted and listened to by almost every jihadi armed group in the world. This chapter explores how the issue of the sacred nature of jihadi anashid has been developed in recent Salafi-related Islamic scholarship and examines testimonies on the role of these chants in Islamic State warfare. It argues that the collective beliefs on the sacred nature of jihadi anashid are based on a particular conceptualisation of sound and its agency, which assumes that both music and anashid are able to influence the body and soul of listeners. While the banning of music by the Islamic State strengthens and perpetuates conflict, jihadi anashid listening and chanting are involved in the process of enemy identification, coordinating militant practices and the justification of violence.

search
Include:
238 Research products, page 1 of 24
  • Publication . Part of book or chapter of book . Other literature type . 2018
    Open Access French
    Authors: 
    Dolz, Joaquim; Laurens, Véronique; Messias Ribeiro Da Silva-Hardmeyer, Carla;
    Publisher: HAL CCSD
    Countries: France, Switzerland

    International audience

  • Publication . Part of book or chapter of book . Other literature type . Conference object . 2018
    Open Access
    Authors: 
    Boonserm Kulvatunyou; Evan K. Wallace; Dimitris Kiritsis; Barry Smith; Chris Will;
    Publisher: SPRINGER-VERLAG BERLIN
    Country: Switzerland

    Part 6: Industry 4.0 - Smart Factory; International audience; The current industrial revolution is said to be driven by the digitization that exploits connected information across all aspects of manufacturing. Standards have been recognized as an important enabler. Ontology-based information standard may provide benefits not offered by current information standards. Although there have been ontologies developed in the industrial manufacturing domain, they have been fragmented and inconsistent, and little has received a standard status. With successes in developing coherent ontologies in the biological, biomedical, and financial domains, an effort called Industrial Ontologies Foundry (IOF) has been formed to pursue the same goal for the industrial manufacturing domain. However, developing a coherent ontology covering the entire industrial manufacturing domain has been known to be a mountainous challenge because of the multidisciplinary nature of manufacturing. To manage the scope and expectations, the IOF community kicked-off its effort with a proof-of-concept (POC) project. This paper describes the developments within the project. It also provides a brief update on the IOF organizational set up.

  • Publication . Part of book or chapter of book . 2021
    Open Access English
    Authors: 
    Pierre Penet; Juan Flores Zendejas;
    Publisher: HAL CCSD
    Country: France

    International audience; During the nineteenth century, free trade and financial integration contributed to what is often referred to as the first globalization wave (1820-1914) (Flandreau, 2013; Flandreau & Zumer, 2004; Mauro et al., 2006). As creditors began to expand the reach of their operations by investing in the bonds of foreign nations, sometime from overseas, lending became more perilous. For instance, British investors often knew little about the Latin American countries whose bonds they were purchasing.¹ Nineteenth-century cross-border lending exemplifies the problem of information asymmetries familiar to economists (Stiglitz, 2000). In this case, uncertainties were compounded by the fact that lenders in the sovereign sector could not mitigate default risk by collateralizing their loans: as a rule, ownership of public assets cannot be transferred to foreigners. To reduce the anxiety of long-distance investing, investors began to seek information pertaining to the trust and credit profile of foreign borrowers. Since investors did not always possess sufficient organizational capabilities and resources to examine the facts, risk analysis was delegated to intermediaries, in particular merchant banks. As informational third parties, merchant banks performed the important function of certifying the credit of debtors, thus providing a practicable solution to the problem of uncertainty in sovereign lending (Flandreau & Flores, 2009). Such banks owned a 'brand' that could grant borrowing states market access on more favourable terms. Gradually, the notion of creditworthiness became cardinal in international lending and borrowing. Technologies of risk assessment played a cardinal role in the building of nineteenth-century debt markets (Carruthers, 2013). The tools of risk analysis which have become so ubiquitous recently can be traced back to the nineteenth ¹ The controversy about Poyais provides a good testimony of how difficult it was for creditors to invest abroad without reliable information to rely on. Poyais, as it turned out, was a fictitious country (Clavel, 2020).

  • Open Access English
    Authors: 
    Philippe Dessus; Julie Chabert; Jean-Philippe Pernin; Philippe Wanlin;
    Publisher: HAL CCSD
    Countries: Switzerland, France

    International audience; This paper introduces to Class-Card, a role-playing simulation allowing pre-service teachers to experience a large part of the instructional process, from planning, to post-active phases. The players first have to perform a cognitive analysis of the learning tasks of a lesson, then they are faced with disruptive events they react on, guided by theoretically-sound frameworks. We examined seven pre-service teacher students using Class-Card on five simulations. The results show that participants were engaged in rich decisions and verbal interactions about the events they were faced to. We contend that Class-Card is a promising way to attenuate the "reality-shock" novice teachers experience and help them build professional knowledge.

  • Publication . Article . Other literature type . Preprint . Book . Part of book or chapter of book . 2022
    Open Access French
    Authors: 
    Duc, Barbara; Lamamra, Nadia;
    Publisher: Zenodo
    Countries: Switzerland, France

    1. Le recrutement des apprenti-e-s du point de vue des formateurs et formatrices en entreprise En Suisse, la formation professionnelle initiale duale, qui alterne formation en école (un à deux jours) et en entreprise (trois à quatre jours), est la voie la plus fréquentée par les jeunes sortant de l’école obligatoire (SEFRI, 2019). Le recrutement, très peu régulé par l’Etat (Imdorf, 2018), comme en France, il est largement laissé à la charge des entreprises formatrices. Les logiques de recrut...

  • Publication . Conference object . Article . Part of book or chapter of book . 2020
    Open Access English
    Authors: 
    Alexis Joly; Hervé Goëau; Stefan Kahl; Christophe Botella; Rafael Ruiz De Castaneda; Hervé Glotin; Elijah Cole; Julien Champ; Benjamin Deneu; Maximillien Servajean; +6 more
    Publisher: HAL CCSD
    Country: France
    Project: NSF | Graduate Research Fellows... (1745301), ANR | SMILES (ANR-18-CE40-0014), EC | COS4CLOUD (863463)

    International audience; Building accurate knowledge of the identity, the geographic distribution and the evolution of species is essential for the sustainable development of humanity, as well as for biodiversity conservation. However, the difficulty of identifying plants and animals in the field is hindering the aggregation of new data and knowledge. Identifying and naming living plants or animals is almost impossible for the general public and is often difficult even for professionals and naturalists. Bridging this gap is a key step towards enabling effective biodiversity monitoring systems. The LifeCLEF campaign, presented in this paper, has been promoting and evaluating advances in this domain since 2011. The 2020 edition proposes four data-oriented challenges related to the identification and prediction of biodiversity: (i) PlantCLEF: cross-domain plant identification based on herbarium sheets, (ii) BirdCLEF: bird species recognition in audio soundscapes, (iii) GeoLifeCLEF: location-based prediction of species based on environmental and occurrence data, and (iv) SnakeCLEF: image-based snake identification.

  • Publication . Conference object . Part of book or chapter of book . 2018
    Open Access English
    Authors: 
    Guido Bologna;
    Publisher: HAL CCSD

    Part 5: MAKE Explainable AI; International audience; Convolutional Neural Networks (CNNs) lack an explanation capability in the form of propositional rules. In this work we define a simple CNN architecture having a unique convolutional layer, then a Max-Pool layer followed by a full connected layer. Rule extraction is performed after the Max-Pool layer with the use of the Discretized Interpretable Multi Layer Perceptron (DIMLP). The antecedents of the extracted rules represent responses of convolutional filters, which are difficult to understand. However, we show in a sentiment analysis problem that from these “meaningless” values it is possible to obtain rules that represent relevant words in the antecedents. The experiments illustrate several examples of rules that represent n-grams.

  • Publication . Other literature type . Conference object . Part of book or chapter of book . 2020
    Open Access English
    Authors: 
    Lucie Gianola; Ēriks Ajausks; Victoria Arranz; Chomicha Bendahman; Laurent Bié; Claudia Borg; Aleix Cerdà; Khalid Choukri; Montse Cuadros; Ona de Gibert; +19 more
    Publisher: HAL CCSD
    Countries: Spain, France

    The European MAPA (Multilingual Anonymisation for Public Administrations) project aims at developing an open-source solution for automatic de-identification of medical and legal documents. We introduce here the context, partners and aims of the project, and report on preliminary results. Peer Reviewed "Article signat per 30 autors/es: Lucie Gianola, Ēriks Ajausks, Victoria Arranz, Chomicha Bendahman, Laurent Bié, Claudia Borg, Aleix Cerdà, Khalid Choukri, Montse Cuadros, Ona De Gibert, Hans Degroote, Elena Edelman, Thierry Etchegoyhen, Ángela Franco Torres, Mercedes García Hernandez, Aitor García Pablos, Albert Gatt, Cyril Grouin, Manuel Herranz, Alejandro Adolfo Kohan, Thomas Lavergne, Maite Melero, Patrick Paroubek, Mickaël Rigault, Mike Rosner, Roberts Rozis, Lonneke Van Der Plas, Rinalds Vīksna, Pierre Zweigenbaum"

  • Publication . Part of book or chapter of book . Conference object . Other literature type . 2020
    Open Access
    Authors: 
    Felsberger, Lukas; Apollonio, Andrea; Cartier-Michaud, Thomas; Todd, Benjamin; Müller, Andreas; Kranzlmüller, Dieter; Apollonio, Andrea;
    Publisher: Springer International Publishing
    Country: France

    International audience; Sophisticated infrastructures often exhibit misbehaviour and failures resulting from complex interactions of their constituent subsystems. Such infrastructures use alarms, event and fault information, which is recorded to help diagnose and repair failure conditions by operations experts. This data can be analysed using explainable artificial intelligence to attempt to reveal precursors and eventual root causes. The proposed method is first applied to synthetic data in order to prove functionality. With synthetic data the framework makes extremely precise predictions and root causes can be identified correctly. Subsequently, the method is applied to real data from a complex particle accelerator system. In the real data setting, deep learning models produce accurate predictive models from less than ten error examples when precursors are captured. The approach described herein is a potentially valuable tool for operations experts to identify precursors in complex infrastructures.

  • Publication . Part of book or chapter of book . 2020
    Open Access English
    Authors: 
    Luis Velasco-Pufleau;
    Publisher: HAL CCSD
    Country: France

    International audience; Militant anashid (Islamic chants or recitations) are used, chanted and listened to by almost every jihadi armed group in the world. This chapter explores how the issue of the sacred nature of jihadi anashid has been developed in recent Salafi-related Islamic scholarship and examines testimonies on the role of these chants in Islamic State warfare. It argues that the collective beliefs on the sacred nature of jihadi anashid are based on a particular conceptualisation of sound and its agency, which assumes that both music and anashid are able to influence the body and soul of listeners. While the banning of music by the Islamic State strengthens and perpetuates conflict, jihadi anashid listening and chanting are involved in the process of enemy identification, coordinating militant practices and the justification of violence.

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