• cc 

      cc, cc (cc, 2018-12-18)
      adsas
    • Characterization of climatological time series using autoencoders 

      Alfonte Zapana, Reynaldo; López Del Alamo, Cristian; Llerena Quenaya, Jan Franco; Cuadros Valdivia, Ana María (Universidad La Salle, 2017-11-08)
      Common problems in climatological time series data are high dimensionality, correlation between the sequential values and noise due to calibration of meteorological stations influencing dramatically in the quality of ...
    • Developing a Holistic Understanding of Systems and Algorithms through Research Papers 

      Erkan, Ali; Barr, John; Clear, Tony; Izu, Cruz; López Del Alamo, Cristian; Mohammed, Hanan; Nadimpalli, Mahadev (Universidad La Salle, 2017-07-03)
      Even though a computer science degree is unavoidably broken into semesters and courses, we always hope that our students form a holistic picture of the discipline by the time they graduate. Yet as educators, we do not have ...
    • Discovery of patterns in software metrics using clustering techniques 

      López Del Alamo, Cristian; Aracena Pizarro, Diego; Valdivia Pinto, Ricardo (2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012-10-01)
      One mechanism for estimating software quality is through the use of metrics, which are functions that evaluates certain characteristics of the product quality development. A software product can be evaluated from different ...
    • Efficient approach for interest points detection in non-rigid shapes 

      López Del Alamo, Cristian; Romero Calla, Luciano Arnaldo; Fuentes Pérez, Lizeth Joseline (Computing Conference (CLEI), 2015 Latin American, 2015-12-17)
      Due to the increasing amount of data and the reduction of costs in 3D data acquisition devices, there has been a growing interest, in developing efficient and robust feature extraction algorithms for 3D shapes, invariants ...
    • M-CBIR: A Medical Content-Based Image Retrieval System Using Metric Data-Structures 

      López Del Alamo, Cristian; Chuctaya, Herbert; Portugal, Christian; Beltrán, César; Gutiérrez, Juan; Túpac, Yván (2011 30th International Conference of the Chilean Computer Science Society, 2013-01-24)
      This work is focused on the modeling and development of a CBIR (Content-based image retrieval) system applied to the recovery of digital medical images of a human body, denominated M-CBIR. This model is composed on two ...
    • Modelado y Diagnóstico de Procesos de Ingeniería y Proyectos en una Empresa Minera: Una Experiencia BPMN-XP 

      Vidal Duarte, Elizabeth (14th LACCEI International Multi-Conference for Engineering, Education, and Technology, 2016-07-20)
      Muchas organizaciones gestionan y controlan sus procesos de negocios para lograr una ventaja competitiva. Un proceso de negocio puede involucrar múltiples participantes, cuya coordinación puede ser compleja, difícil de ...
    • Non-linear modeling for low and high power microwave transistors 

      Rafael Valdivia, Guillermo (IEEE Xplore Digital Library, 2017-01-19)
      New generation of communications systems will demand the use of low power devices in mesh configuration. This work presents a new characterization procedure for those devices in order to predict their behaviour before the ...
    • Non-rigid 3D shape classification based on convolutional neural networks 

      Llerena Quenaya, Jan Franco; López Del Alamo, Cristian (Universidad La Salle, 2018-02-08)
      Over the years, the scientific interest towards 3D models analysis has become more popular. Problems such as classification, retrieval and matching are studied with the idea to offer robust solutions. This paper introduces ...
    • On Semantic Solutions for Efficient Approximate Similarity Search on Large-Scale Datasets 

      Ocsa, Alexander; Huillca, Jose Luis; López Del Alamo, Cristian (Universidad La Salle, 2018-07-04)
      Approximate similarity search algorithms based on hashing were proposed to query high-dimensional datasets due to its fast retrieval speed and low storage cost. Recent studies, promote the use of Convolutional Neural Network ...
    • Parallelization of the Algorithm K-means Applied in Image Segmentation 

      López Del Alamo, Cristian; Romero Calla, Luciano Arnaldo; Fuentes Pérez, Lizeth Joseline (International Journal of Computer Applications, 2014-01-01)
      Algorithm k-means is useful for grouping operations; however, when is applied to large amounts of data, its computational cost is high. This research propose an optimization of k-means algorithm by using parallelization ...
    • Stakeholders Classification System Based on Clustering Techniques 

      Pérez Vera, Yasiel; Bermudez Peña, Anié (Universidad La Salle, 2018-11-09)
      Stakeholder classification is carried out by project managers using methods such as interviews with experts, brainstorming and checklists. These methods are carried out manually and present a subjective character as they ...
    • Teaching the First Programming Course with Python's Turtle Graphic Library 

      Vidal Duarte, Elizabeth (ITICSE, 2016-07-11)
      How to keep students interested in a CS1 course is not new to those who teach the subject. This work describes our experience in the use of Python with its Turtle Graphic Library in a game-oriented approach that seeks to ...