Artículos de conferencia

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Browsing Artículos de conferencia by browse.metadata.fuente "ORCID"

Now showing 1 - 20 of 549
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    14 Kg of CO2: Analyzing the Carbon Footprint and Performance of Session-Based Recommendation Algorithms
    (Springer, Cham, 2025) Plaza Carrasco, Alejandro; Gil, Juan Carlos; Parra Santander, Denis
    Green AI aims to develop accurate AI models that are also sustainable without compromising the environment, especially in terms of carbon emissions. There are few studies on this topic in recommender systems, so we analyzed the trade-offs between recommendation performance and carbon footprint in session-based recommender systems. We use five public e-commerce datasets to predict the next item a user will interact with based solely on their past click events. The GRU4Rec algorithm and five unofficial reimplementations in different deep learning frameworks (Theano, PyTorch, TensorFlow, Keras, and Reckpack) are evaluated. The results indicate a strong effect of the loss function and dataset size on the carbon footprint without significantly affecting the accuracy metrics. We show evidence that the implementation choice for the same algorithm strongly affects the CO2 emitted, and optimized implementations do not sacrifice recommendation efficiency, which should be considered when choosing a framework or implementation for an algorithm.
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    A conceptual framework to model the performance of project delivery systems
    (2015) Alarcon Cardenas, Luis Fernando; Mesa, H.H.
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    A decoupled Nearest Level Control for a Modular Multilevel Cascade Converter based on Triple Star Bridge Cells (MMCC-TSBC)
    (2021) Shamshuddin, Mohammed Azharuddin; Arancibia, David; Rojas, Félix; Pereda Torres, Javier; Kennel, Ralph
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    A Fast Algorithm for Nonlinear QSM Reconstruction
    (2017) Milovic Fabregat, Carlos Andres
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    A fast and self-adaptive on-line learning detection system
    (2018) Prasad, M.; Zheng, D.-R.; Mery Quiroz, Domingo Arturo; Puthal, D.; Sundaram, S.; Lin, C.-T.
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    A field study of a visual controllable talk recommender
    (2013) Parra Santander, Denis Alejandro; Brusilovsky, P.
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    A framework of hybrid MOOC-based pedagogies
    (2015) Pérez-Sanagustín, M.; Hilliger, I.; Schwarzenberg, P.; Parra Santander, Denis Alejandro
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    A manual categorization of new quality issues on automatically-generated tests
    (2023) Galindo-Gutierrez, Geraldine; Narea Carvajal, Maximiliano Agustín; Fernández, Blanco Alison
    Diverse studies have analyzed the quality of automatically generated test cases by using test smells as the main quality attribute. But recent work reported that generated tests might suffer from a number of quality issues not considered previously, thus suggesting that not all test smells have been identified yet. Little is known about these issues and their frequency within generated tests. In this paper, we report on a manual analysis of an external dataset consisting of 2,340 automatically generated tests. This analysis aimed at detecting new quality issues, not covered by past recognized test smells. We use thematic analysis to group and categorize the new quality issues found. As a result, we propose a taxonomy of 13 new quality issues grouped in four categories. We also report on the frequency of these new quality issues within the dataset and present eight recommendations that test generators may consider to improve the quality and usefulness of the automatically generated tests. As an additional contribution, our results suggest that (i) test quality should be evaluated not only on the tests themselves, but considering also the tested code; and (ii) automatically generated tests present flaws that are unlikely to be found in manually created tests and thus require specific quality checking tools.
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    A massive binary system can feed Sgr A*
    (2017) Calderón Espinoza, Diego Nicolás; Cuadra, Jorge
    The enigmatic G2 cloud just passed pericentre around the Galactic Centre super-massive black hole, Sgr A. Despite all theoretical and observational efforts, its nature remains unclear. If purely gaseous, it is possible to explain it as a gas clump formed in a colliding wind binary. Here we study the hypothesis of G2 being one of such clumps ejected from the massive binary IRS 16SW....
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    A methodology for integrated buffer design and management in repetitive construction projects
    (2009) González, V.; Alarcon Cardenas, Luis Fernando
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    A modeling approach to understand performance of lean project delivery system
    (2012) Alarcon Cardenas, Luis Fernando; Mesa, H.
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    A multi-scale approach to quantitative susceptibility mapping (MSDI)
    (2018) Milovic Fabregat, Carlos Andres
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    A neural network supervised performance of CAMx
    (2004) Jorquera, H.; Pérez-Roa, R.; Perez Correa, Jose Ricardo; Vesovic, V.
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    A New Content-Based Image Retrieval System for SARS-CoV-2 Computer-Aided Diagnosis
    (2022) Molina, Gabriel; Mendoza Rocha, Marcelo Gabriel; Loayza, Ignacio; Núñez, Camilo; Araya, Mauricio; Castañeda, Víctor; Solar, Mauricio
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    A NEW METHOD FOR ASSESSING COMPATIBILITY OF CONSOLIDATION PROCEDURES WITH CONSERVATION PRINCIPLES: INTERVENTION QUALITY INDEX (IQI)
    (2021) Palazzi Chiara, Nuria; Misseri, Giulia; Sandoval Mandujano, Cristián; Tonietti, Ugo; Llera Martin, Juan Carlos de la; Rovero, Luisa
    In current times, built heritage is being lost at an alarming rate due to natural and human hazards. Policies for its protection and rehabilitation involve, among other things, challenges related to the refinement of suitable structural strengthening approaches. The arduous balance between gaining acceptable safety levels for occupants without deploying intrusive devices, inconsistent with conservation principles such as those of the ICOMOS charters, is not a simple task. The interest and efforts of the scientific community in this regard have been increasing for decades, but still, it is the structural professional ' s responsibility and experience which must define this arduous balance on a case-to-case basis. This study addresses the question: How can the quality of structural rehabilitation interventions be assessed in light of conservation principles such as those given by ICOMOS? Here, a preliminary method - called "Intervention Quality Index" (IQI) method is proposed. It assesses the restoration intervention quality in relation to: (i) the level of compliance given by the conservation ' s principle score (conservation ' s factor, CF); and (ii) the current state of conservation of the monument (safety factor of building considering the seismic intensity,.s). The IQI method considers the compliance level of the designed reinforcement with conservation principle, formalized through the fulfillment of a category, i.e. respected, partially respected, and not respected. Then, these judgments are translated into scores and statistically evaluated. Scores are attributed in relation to the relevance of the fulfillment of a certain conservation principle (authenticity, minimal intervention and intrusiveness, compatibility, recognizability and reversibility) for the seismic structural safety point of view. Preliminary results show that an effective employment of traditional earthquake-resistant practices together with a wise use of modern retrofit strategies allow for the preservation and reinforcement of built heritage without harming its identity.
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    A new search for R Coronae Borealis stars in the SMC
    (2017) Nikzat, Fatemeh; Catelan , Marcio
    R Coronae Borealis (RCB) stars are rare, and their evolutionary origin is not well understood. Since they are obscured due to formation of carbon dust around the star during their mass loss events, RCB stars can be classified as self-eclipsing variable stars. The purpose of this work is to present a new search for RCB stars in the Small Magellanic Cloud (SMC), by analysing VI data from the OGLE project....
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    A production control tool for coordination of teams, meetings and managerial processes
    (2015) Zegarra, O.; Alarcon Cardenas, Luis Fernando
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    A Protocol to Follow-up with Students in Large-enrollment Courses
    (American Society for Engineering Education, 2021) Piña Aguilera, Matías Alonso; Hilliger, Isabel; Baier Aranda, Jorge Andrés; Melián, Constanza; Ruz Ruz, Cristián Daniel; González, Tomás Andrés
    In response to the covid-19 health crisis, many higher education institutions quickly moved to online education. As a result of that sudden switch, students faced unexpected difficulties, such as lack of a good quality internet connection, adequate equipment, and a good study environment. Additionally, several of them dealt with the effects of health and emotional situations faced by themselves or family members. Aware of those additional difficulties, some institutions promoted a flexible approach, suggesting teachers to increase communication with their students and make the necessary modifications to course evaluations and deadlines.Teachers willing to approach their teaching in a more flexible manner need to make themselves aware of the needs of their students. In engineering massive courses, where student-teacher communication is usually burdened, gaining such an awareness is particularly difficult, requiring students to initiate communication. Unfortunately, in remote online settings, which may exacerbate social isolation, students may have less inclination to communicate with their teachers.This work-in-progress paper describes a case of study in which we describe and evaluate a protocol designed to actively engage in communication with students either with lower-than-average academic performance or with missing/late assignments. Using soothing language, a member of the teaching staff contacts students (or replies to a request from a student), attempts to establish the causes of the low academic performance and proposes specific actions to be taken in response to students' needs. The protocol was implemented in an advanced programming course during the second term (Fall) of 2020, at a large school of engineering in Latin America. To evaluate the student's perceptions of this approach, we collect data from several sources, including general-purpose student evaluations and questionnaires designed to specifically evaluate the perceptions of this approach. By analyzing different sources of data, we aimed to identify advantages and opportunities for improvement and scaling this approach at a school level. Among the most important contributions, even though our protocol was designed and implemented during the pandemic, it could also be implemented face-to-face or with online systems.