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Author  |
Henry O. Velesaca, Gisel Bastidas, Mohammad Rouhani, Angel D. Sappa |

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Title |
Multimodal image registration techniques: a comprehensive survey |
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Journal Article |
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Year |
2024 |
Publication |
Multimedia Tools and Applications |
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Volume |
Vol. 83 |
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63919 - 63947 |
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13807501 |
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no |
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Call Number |
cidis @ cidis @ |
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248 |
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Author  |
Henry Velesaca, Boris Vintimilla, Jorge Vulgarin, Coen Antens & Alberto Rubio Pérez |


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Title |
Deep Learning-based Multimodal Sensing Framework for AntiSpoofing Systems |
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Journal Article |
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Year |
2024 |
Publication |
Lecture Notes in Networks and Systems: 4th International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) |
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Vol. 1116 LNNS |
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39-54 |
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23673370 |
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978-981976994-0 |
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no |
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cidis @ cidis @ |
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238 |
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Author  |
Juan A. Carvajal; Dennis G. Romero; Angel D. Sappa |

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Title |
Fine-tuning deep convolutional networks for lepidopterous genus recognition |
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Journal Article |
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Year |
2017 |
Publication |
Lecture Notes in Computer Science |
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Vol. 10125 LNCS |
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pp. 467-475 |
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gtsi @ user @ |
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63 |
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Author  |
Juca Aulestia M., Labanda Jaramillo M., Guaman Quinche J., Coronel Romero E., Chamba Eras L., & Roberto Jacome Galarza |

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Title |
Open innovation at university: a systematic literature review |
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Journal Article |
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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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Call Number |
cidis @ cidis @ |
Serial |
189 |
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Author  |
Leo Ramos & Angel D. Sappa |


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Title |
Multispectral Semantic Segmentation for Land Cover Classification: An Overview |
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Journal |
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Year |
2024 |
Publication |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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Volume |
Vol. 17 |
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Pages |
14295-14336 |
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19391404 |
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no |
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Call Number |
cidis @ cidis @ |
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250 |
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Author  |
Leo Thomas Ramos & Angel D. Sappa |

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Title |
Leveraging U-Net and selective feature extraction for land cover classification using remote sensing imagery |
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Journal Article |
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Year |
2025 |
Publication |
Scientific Reports |
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no |
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Call Number |
cidis @ cidis @ |
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270 |
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Author  |
Luis Chuquimarca, Boris Vintimilla & Sergio Velastin |

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Title |
A Review of External Quality Inspection for Fruit Grading using CNN Models |
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Journal |
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Year |
2024 |
Publication |
Artificial Intelligence in Agriculture |
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Volume |
Vol. 14 |
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Pages |
1-20 |
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25897217 |
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no |
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Call Number |
cidis @ cidis @ |
Serial |
254 |
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Author  |
Ma. Paz Velarde; Erika Perugachi; Dennis G. Romero; Ángel D. Sappa; Boris X. Vintimilla |

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Title |
Análisis del movimiento de las extremidades superiores aplicado a la rehabilitación física de una persona usando técnicas de visión artificial. |
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Journal Article |
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Year |
2015 |
Publication |
Revista Tecnológica ESPOL-RTE |
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Volume |
Vol. 28 |
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Pages |
pp. 1-7 |
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Keywords |
Rehabilitation; RGB-D Sensor; Computer Vision; Upper limb |
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Abstract |
Comúnmente durante la rehabilitación física, el diagnóstico dado por el especialista se basa en observaciones cualitativas que sugieren, en algunos casos, conclusiones subjetivas. El presente trabajo propone un enfoque cuantitativo, orientado a servir de ayuda a fisioterapeutas, a través de una herramienta interactiva y de bajo costo que permite medir los movimientos de miembros superiores. Estos movimientos son capturados por un sensor RGB-D y procesados mediante la metodología propuesta, dando como resultado una eficiente representación de movimientos, permitiendo la evaluación cuantitativa de movimientos de los miembros superiores. |
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ESPOL |
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English |
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English |
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no |
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Call Number |
cidis @ cidis @ |
Serial |
39 |
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Author  |
Marjorie Chalen; Boris X. Vintimilla |

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Title |
Towards Action Prediction Applying Deep Learning |
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Journal Article |
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Year |
2019 |
Publication |
Latin American Conference on Computational Intelligence (LA-CCI); Guayaquil, Ecuador; 11-15 Noviembre 2019 |
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pp. 1-3 |
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Keywords |
action prediction, early recognition, early detec- tion, action anticipation, cnn, deep learning, rnn, lstm. |
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Abstract |
Considering the incremental development future action prediction by video analysis task of computer vision where it is done based upon incomplete action executions. Deep learning is playing an important role in this task framework. Thus, this paper describes recently techniques and pertinent datasets utilized in human action prediction task. |
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Call Number |
cidis @ cidis @ |
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129 |
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Author  |
Marta Diaz; Dennys Paillacho; Cecilio Angulo |

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Title |
Evaluating Group-Robot Interaction in Crowded Public Spaces: A Week-Long Exploratory Study in the Wild with a Humanoid Robot Guiding Visitors Through a Science Museum. |
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Journal Article |
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Year |
2015 |
Publication |
International Journal of Humanoid Robotics |
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Vol. 12 |
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Group-robot interaction; robotic-guide; social navigation; space management; spatial formations; group walking behavior; crowd behavior |
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Abstract |
This paper describes an exploratory study on group interaction with a robot-guide in an open large-scale busy environment. For an entire week a humanoid robot was deployed in the popular Cosmocaixa Science Museum in Barcelona and guided hundreds of people through the museum facilities. The main goal of this experience is to study in the wild the episodes of the robot guiding visitors to a requested destination focusing on the group behavior during displacement. The walking behavior follow-me and the face to face communication in a populated environment are analyzed in terms of guide- visitors interaction, grouping patterns and spatial formations. Results from observational data show that the space configurations spontaneously formed by the robot guide and visitors walking together did not always meet the robot communicative and navigational requirements for successful guidance. Therefore additional verbal and nonverbal prompts must be considered to regulate effectively the walking together and follow-me behaviors. Finally, we discuss lessons learned and recommendations for robot’s spatial behavior in dense crowded scenarios. |
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International Journal of Humanoid Robotics |
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English |
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English |
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Call Number |
cidis @ cidis @ |
Serial |
34 |
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