2021 XLVII Latin American Computing Conference (CLEI)最新文献

A Recommender System Approach for Predicting Effective Antivirals 预测有效抗病毒药物的推荐系统方法

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640217

Rafael Adorno, Diego Galeano, D. Stalder, L. Cernuzzi, Alberto Paccanaro

引用次数: 0

The design of a privacy dashboard for an academic environment based on participatory design 基于参与式设计的学术环境隐私仪表板的设计

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640155

Alethia Hume, Nicolás Ferreira, L. Cernuzzi

{"title":"The design of a privacy dashboard for an academic environment based on participatory design","authors":"Alethia Hume, Nicolás Ferreira, L. Cernuzzi","doi":"10.1109/CLEI53233.2021.9640155","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640155","url":null,"abstract":"In today's world, characterized by the massive generation of data, a major problem related to data manipulation occurs when people's privacy is violated. To face this situation different regulations and solutions, to help users get in control over their data, emerged. However, many of the solutions require a certain level of knowledge in the field of privacy or offer unclear information that does not facilitate a real control of their data by the users. Added to this is the unfriendly user interface design as one of the factors that prevents users from managing their privacy settings effectively. Thus, in this work we explore the effect of the application of Participatory Design (PD) techniques in the implementation of privacy enhancing technologies. In particular, we focus on the use of PD for the design of a privacy dashboard that encourages the immersion of users with privacy issues and gives them greater control with a user interface according to usability criteria. The evaluation of the PD process, which has resulted in a high-fidelity prototype of the dashboard, shows encouraging results and greater user immersion in privacy management.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"110 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79299811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Writing Proficiency Assessment: Regression Analysis of Item Response Theory supported by Machine Learning Techniques 写作水平评估:基于机器学习技术的项目反应理论回归分析

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9639903

W. Silva, Elias de Oliveira, M. Curi, Jean-Rémi Bourguet

引用次数: 0

Microscopy Mineral Image Enhancement Using Multiscale Top-Hat Transform 基于多尺度顶帽变换的显微矿物图像增强

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9639975

Julio César Mello Román, José Luis Vázquez Noguera, H. Legal-Ayala, Diego Pinto, M. Monteiro, Jesús César Ariel López Colmán

{"title":"Microscopy Mineral Image Enhancement Using Multiscale Top-Hat Transform","authors":"Julio César Mello Román, José Luis Vázquez Noguera, H. Legal-Ayala, Diego Pinto, M. Monteiro, Jesús César Ariel López Colmán","doi":"10.1109/CLEI53233.2021.9639975","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9639975","url":null,"abstract":"The acquisition of microscopic images of minerals with good contrast is critical for the identification and analysis of their properties. However, in many cases, the microscopic images of minerals obtained are unclear due to the image environment, imperfect adjustment of the microscopy operators or improper collection of samples. In this paper, we present an algorithm to enhance the microscopic images of minerals by multiscale Top-Hat transform using contrast adjustment weights. First, the multiple dark and bright features of the mineral image are extracted using the top-hat transform. Secondly, bright scale differences and dark scale differences obtained in the previous step are calculated. Third, all the intensities of the multiple dark and bright features from the previous steps are summed separately. Finally, the bright features adjusted for a contrast weight are then added to the image and dark features adjusted for the same weight are subtracted from the image. Experimental results on various kinds of microscopic mineral images verified the effective performance of this proposed enhancing the contrast, improving the detail and spatial information about the images","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"70 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82126320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

GENTE: An Ontology to Represent Users in the Tourism Context 旅游环境下用户表示的本体

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640055

Harry Jonathan Márquez Muñoz, Yudith Cardinale

{"title":"GENTE: An Ontology to Represent Users in the Tourism Context","authors":"Harry Jonathan Márquez Muñoz, Yudith Cardinale","doi":"10.1109/CLEI53233.2021.9640055","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640055","url":null,"abstract":"User-centric applications have recently gained popularity in particular in the tourism domain, in order to satisfy the individual needs of users and to provide personalized information. In turn, there is a need on modeling user profiles, considering different aspects of the information related to the user himself and his context. However, there is a lack of standardization to represent such information. The Semantic Web seems to be a clear solution for the formal representation of this knowledge, due to its capacity for organization and reasoning, in particular through ontologies. There are works that propose ontologies to model the user profile, but only cover partial aspects of the information required and are only applicable to specific applications, they do not propose a generalized user profile model applicable to the domain of tourism. This work proposes the development of GENTE ontology, a GENeral ontology for Tourism Environments, that represents the different dimensions of the information related to users and their context. In addition, techniques to infer characteristics, preferences, interests, and behaviors of users, from their social networks are proposed and developed.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"22 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81296039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Transformer-based Approaches for Personality Detection using the MBTI Model 基于变换的MBTI模型人格检测方法

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640012

R. Vásquez, José Eduardo Ochoa Luna

引用次数: 2

Schools selection in the Department of Caazapá applying mathematical programming 学校选择在caazap<e:1>系应用数学规划

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640110

Tadeo R. Saldivar-Patiño, Jorge L. Recalde-Ramírez, María M. López, Diego Pinto

{"title":"Schools selection in the Department of Caazapá applying mathematical programming","authors":"Tadeo R. Saldivar-Patiño, Jorge L. Recalde-Ramírez, María M. López, Diego Pinto","doi":"10.1109/CLEI53233.2021.9640110","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640110","url":null,"abstract":"The educational infrastructure in the Department of Caazapá, as in other regions of Paraguay, presents characteristics that do not favor the development of the educational process. Caazapá currently has 469 schools in this department, and the average number of students per school is 83. If we also consider that 62% of schools have less than 15 students per class, it can be inferred that there is an underutilization of the infrastructure and cost overruns in large part of the schools. In contrast, 1% of the schools have on average more than 49 students per classroom. This inefficient distribution of schools causes high investment costs for improving and maintaining schools and resource management problems. It is imperative to the application of strategies that are oriented to the optimization of available resources. This study adopts a mixed-integer linear programming model to select schools to minimize operating costs, investment in infrastructure, and transportation. We combine operation research techniques with geographic information systems to analyze the problem and interpret the results. The results show opportunities for improvement in the design of the educational network, and it is feasible to reduce investment costs by consolidating the demand in fewer establishments than currently exists. Additionally, this result would also allow generating economies of scale to optimize the operating costs of the establishments.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"161 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78533698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data Quality Management oriented to the Electronic Medical Record 面向电子病历的数据质量管理

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640139

P. Montaña, Adriana Marotta

引用次数: 0

Measuring the Impact of Memory Replay in Training Pacman Agents using Reinforcement Learning 用强化学习测量记忆重放在训练吃豆人代理中的影响

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640031

Fabian Fallas-Moya, Jeremiah Duncan, Tabitha K. Samuel, Amir Sadovnik

引用次数: 0

Visual Attention Prediction Model Based on Prominence Maps, Machine Learning and Biometric Data 基于突出图、机器学习和生物特征数据的视觉注意力预测模型

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9639958

Helver Novoa Mendoza, W. J. Giraldo, Emilio Granell, F. Giraldo

{"title":"Visual Attention Prediction Model Based on Prominence Maps, Machine Learning and Biometric Data","authors":"Helver Novoa Mendoza, W. J. Giraldo, Emilio Granell, F. Giraldo","doi":"10.1109/CLEI53233.2021.9639958","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9639958","url":null,"abstract":"This work is framed in the domain of software engineering. Specifically, it is situated in the subdomain of user interface evaluation. The context of the same comprises the phenomenon of visual attention and its evaluation through indicators that allow evaluating the quality of these interfaces. Specifically, it presents a model for the prediction of visual attention based on saliency maps, machine learning and biometric data. Its objective is to serve as a support to promote the usability of user interfaces. Experiments carried out with the eye tracker by the Institute for Cognitive Sciences at the University of Osnabrück and the University Medical Center in Hamburg-Eppendorf, among which free visualization tasks on user interfaces such as web pages, formed the input with which the model was developed. Its general structure consists of two elements: a convolutional neural network and Guided Grad-CAM (a convolutional layer visualization method). Biometric components were used to train the network: images whose size was set as a function of the foveal radius and the user's distance from the interface. The natural units of information (nats) were used as a measure to evaluate the accuracy of the model.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"35 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82656560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0