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Author |
Xavier Soria; Edgar Riba; Angel D. Sappa |
Title |
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection |
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Conference Article |
Year |
2020 |
Publication |
2020 IEEE Winter Conference on Applications of Computer Vision (WACV) |
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9093290 |
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1912-1921 |
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This paper proposes a Deep Learning based edge de- tector, which is inspired on both HED (Holistically-Nested Edge Detection) and Xception networks. The proposed ap- proach generates thin edge-maps that are plausible for hu- man eyes; it can be used in any edge detection task without previous training or fine tuning process. As a second contri- bution, a large dataset with carefully annotated edges, has been generated. This dataset has been used for training the proposed approach as well the state-of-the-art algorithms for comparisons. Quantitative and qualitative evaluations have been performed on different benchmarks showing im- provements with the proposed method when F-measure of ODS and OIS are considered. |
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978-172816553-0 |
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cidis @ cidis @ |
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126 |
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Nayeth I. Solorzano Alcivar, Robert Loor, Stalyn Gonzabay Yagual, & Boris X. Vintimilla |
Title |
Statistical Representations of a Dashboard to Monitor Educational Videogames in Natural Language |
Type |
Conference Article |
Year |
2020 |
Publication |
ETLTC – ACM Chapter: International Conference on Educational Technology, Language and Technical Communication; Fukushima, Japan, 27-31 Enero 2020 |
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77 |
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This paper explains how Natural Language (NL) processing by computers, through smart
programs as a way of Machine Learning (ML), can represent large sets of quantitative data as written
statements. The study recognized the need to improve the implemented web platform using a
dashboard in which we collected a set of extensive data to measure assessment factors of using
children´s educational games. In this case, applying NL is a strategy to give assessments, build, and
display more precise written statements to enhance the understanding of children´s gaming behavior.
We propose the development of a new tool to assess the use of written explanations rather than a
statistical representation of feedback information for the comprehension of parents and teachers with
a lack of primary level knowledge in statistics. Applying fuzzy logic theory, we present verbatim
explanations of children´s behavior playing educational videogames as NL interpretation instead of
statistical representations. An educational series of digital game applications for mobile devices,
identified as MIDI (Spanish acronym of “Interactive Didactic Multimedia for Children”) linked to a
dashboard in the cloud, is evaluated using the dashboard metrics. MIDI games tested in local primary
schools helps to evaluate the results of using the proposed tool. The guiding results allow analyzing
the degrees of playability and usability factors obtained from the data produced when children play a
MIDI game. The results obtained are presented in a comprehensive guiding evaluation report
applying NL for parents and teachers. These guiding evaluations are useful to enhance children's
learning understanding related to the school curricula applied to ludic digital games. |
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no |
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cidis @ cidis @ |
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131 |
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Author |
Dennys Paillacho; Nayeth I. Solorzano Alcivar; Jonathan S. Paillacho Corredores |
Title |
LOLY 1.0: A Proposed Human-Robot-Game Platform Architecture for the Engagement of Children with Autism in the Learning Process |
Type |
Book Chapter |
Year |
2021 |
Publication |
The international Conference on Systems and Information Sciences (ICCIS 2020), julio 27-29. Advances in Intelligent Systems and Computing. |
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1273 |
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225-238 |
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21945357 |
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978-303059193-9 |
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yes |
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cidis @ cidis @ |
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185 |
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Author |
Patricia L. Suárez, Angel D. Sappa and Boris X. Vintimilla |
Title |
Deep learning-based vegetation index estimation |
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Book Chapter |
Year |
2021 |
Publication |
Generative Adversarial Networks for Image-to-Image Translation Book. |
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Chapter 9 |
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Issue 2 |
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205-232 |
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no |
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cidis @ cidis @ |
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137 |
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Author |
Morocho-Cayamcela, M.E. |
Title |
Increasing the Segmentation Accuracy of Aerial Images with Dilated Spatial Pyramid Pooling |
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Journal Article |
Year |
2020 |
Publication |
Electronic Letters on Computer Vision and Image Analysis (ELCVIA) |
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Vol. 19 |
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Issue 2 |
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pp. 17-21 |
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no |
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cidis @ cidis @ |
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140 |
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Author |
Steven Silva, Dennys Paillacho., David Soque, María Guerra & Jonathan Paillacho |
Title |
Autonomous Intelligent Navigation For Mobile Robots In Closed Environments. |
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Conference Article |
Year |
2021 |
Publication |
The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communications in Computer and Information Science |
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1388 |
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391-402 |
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no |
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cidis @ cidis @ |
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187 |
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Author |
Mehri, A, Ardakani, P.B., Sappa, A.D. |
Title |
MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution. |
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Conference Article |
Year |
2021 |
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In IEEE Winter Conference on Applications of Computer Vision WACV 2021, enero 5-9, 2021 |
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2703-2712 |
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cidis @ cidis @ |
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148 |
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Author |
Mehri, A, Ardakani, P.B., Sappa, A.D. |
Title |
LiNet: A Lightweight Network for Image Super Resolution |
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Conference Article |
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2021 |
Publication |
25th International Conference on Pattern Recognition (ICPR), enero 10-15, 2021 |
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7196-7202 |
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no |
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cidis @ cidis @ |
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149 |
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Author |
Rivadeneira R.E., Sappa A.D., Vintimilla B.X., Nathan S., Kansal P., Mehri A et al. |
Title |
Thermal Image Super-Resolution Challenge – PBVS 2021. |
Type |
Conference Article |
Year |
2021 |
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In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2021., junio 19 – 25, 2021 |
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4354-4362 |
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cidis @ cidis @ |
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151 |
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Author |
Luis C. Herrera, Leslie del R. Lima, Nayeth I. Solorzano, Jonathan S. Paillacho & Dennys Paillacho. |
Title |
Metrics Design of Usability and Behavior Analysis of a Human-Robot-Game Platform. |
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Conference Article |
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2021 |
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The 2nd International Conference on Applied Technologies (ICAT 2020), diciembre 2-4. Communication in Computer and Information Science |
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1388 |
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164-178 |
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cidis @ cidis @ |
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191 |
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