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Redesigning a Main Menu ATM Interface Using a User-Centered Design Approach Aligned to Design Thinking: A Case Study
(Springer Verlag, 2019-07)
Currently, development teams face many challenges when designing user interfaces. There are more, and more, new methodologies, processes and techniques to make user-centered design. However, these teams often lack specific ...
Redesigning a Main Menu ATM Interface Using a User-Centered Design Approach Aligned to Design Thinking: A Case Study
(Springer Verlag, 2019-07)
Currently, development teams face many challenges when designing user interfaces. There are more, and more, new methodologies, processes and techniques to make user-centered design. However, these teams often lack specific ...
Interactive image segmentation of non-contiguous classes using particle competition and cooperation
(2015-01-01)
Semi-supervised learning methods employ both labeled and unlabeled data in their training process. Therefore, they are commonly applied to interactive image processing tasks, where a human specialist may label a few pixels ...
Mapping coastal wetlands using satellite imagery and machine learning in a highly urbanized landscape
(2022)
Coastal wetlands areas are heterogeneous, highly dynamic areas with complex interactions between terrestrial and marine ecosystems, making them essential for the biosphere and the development of human activities. Remote ...
Characterizing Communication Patterns between Audiences and Newsbots
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2020)
News organizations are increasingly exploring how the use of newsbots can enhance journalism by enabling novel ways to disseminate news and engage with audiences in social media environments. While newsbots have begun to ...
Interactive machine learning applied to dribble a ball in soccer with biped robots
(Springer Verlag, 2018)
An Interactive Machine Learning (IML) approach for training a dribbling engine for humanoid biped robots in RoboCup competitions (Standard Platform League) is presented. The proposed dribbling approach solves two decision ...
Boosted projections and low cost transfer learning applied to smart surveillance
(Universidade Federal de Minas GeraisUFMG, 2018-02-23)
Computer vision is an important area related to understanding the world through images. It can be used in biometrics, by verifying whether a given face is of a certain identity, used to look for crime perpetrators in an ...
Hybrid Approach Based on Machine Learning for Hand Shape and Key Point's Estimation
In human-computer interaction and virtual truth, hand pose estimation is essential. Public dataset experimental analysis Different biometric shows that a particular system creates low manual estimation errors and has a ...