| Records |
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Juca Aulestia M., Labanda Jaramillo M., Guaman Quinche J., Coronel Romero E., Chamba Eras L., & Roberto Jacome Galarza |
| Title |
Open innovation at university: a systematic literature review |
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Journal Article |
| Year |
2020 |
Publication |
Advances in Intelligent Systems and Computing |
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1159 AISC, 2020 |
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3-14 |
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no |
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cidis @ cidis @ |
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189 |
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Roberto Jacome Galarza. |
| Title |
Multimodal deep learning for crop yield prediction. |
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Conference Article |
| Year |
2022 |
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Doctoral Symposium on Information and Communication Technologies –DSICT 2022. Octubre 12-14. |
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1647 |
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Communicationsin Computer and Infor |
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106-117 |
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no |
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cidis @ cidis @ |
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193 |
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Roberto Jacome Galarza; Miguel-Andrés Realpe-Robalino; Chamba-Eras LuisAntonio; Viñán-Ludeña MarlonSantiago and Sinche-Freire Javier-Francisco |
| Title |
Computer vision for image understanding. A comprehensive review |
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Conference Article |
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2019 |
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International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019); Quito, Ecuador |
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248-259 |
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Computer Vision has its own Turing test: Can a machine describe the contents of an image or a video in the way a human being would do? In this paper, the progress of Deep Learning for image recognition is analyzed in order to know the answer to this question. In recent years, Deep Learning has increased considerably the precision rate of many tasks related to computer vision. Many datasets of labeled images are now available online, which leads to pre-trained models for many computer vision applications. In this work, we gather information of the latest techniques to perform image understanding and description. As a conclusion we obtained that the combination of Natural Language Processing (using Recurrent Neural Networks and Long Short-Term Memory) plus Image Understanding (using Convolutional Neural Networks) could bring new types of powerful and useful applications in which the computer will be able to answer questions about the content of images and videos. In order to build datasets of labeled images, we need a lot of work and most of the datasets are built using crowd work. These new applications have the potential to increase the human machine interaction to new levels of usability and user’s satisfaction. |
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gtsi @ user @ |
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97 |
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Viñán-Ludeña M.S., De Campos L.M., Roberto Jacome Galarza, & Sinche Freire, J. |
| Title |
Social media influence: a comprehensive review in general and in tourism domain |
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Journal Article |
| Year |
2020 |
Publication |
Smart Innovation, Systems and Technologies. |
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171, 2020 |
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25-35 |
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no |
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cidis @ cidis @ |
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190 |
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| Author |
Viñán-Ludeña, M.S., Roberto Jacome Galarza, Montoya, L.R., Leon, A.V., & Ramírez, C.C. |
| Title |
Smart university: an architecture proposal for information management using open data for research projects. |
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Journal Article |
| Year |
2020 |
Publication |
Advances in Intelligent Systems and Computing |
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1137 AISC, 2020 |
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172-178 |
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no |
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cidis @ cidis @ |
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188 |
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