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Methodology for learning multimodal instructions in the context of human-robot interaction using machine learning
(2018-02-17)
This work shows the design, implementation and evaluation
of a human-robot interaction system where a robot is capable of learning
multimodal instructions through gestures and voice issued by a human
user. The learning ...
Interactive Multiscale Classification of High-Resolution Remote Sensing Images
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2013)
User Experience Evaluation through Automatic A/B Testing
(ACM Digital Library, 2020)
The goal of this research is to develop an A/B testing method to automatically compare the user experience (UX) of alternative designs for a web application in a real context with a large number of users. The challenge ...
Using Customer Knowledge Surveys to Explain Sales of Postgraduate Programs: A Machine Learning Approach
Universities collect information from each customer that contacts them through their websites and social media profiles. Customer knowledge surveys are the main information-gathering tool used to obtain this information ...
Time-Dependent Performance Prediction System for Early Insight in Learning Trends
Performance prediction systems allow knowing the learning status of students during a term and produce estimations on future status, what is invaluable information for teachers. The majority of current systems statically ...
ICE: A visual analytic tool for interactive clustering ensembles generation
(Association for Computing MachineryPE, 2021)
"Clustering methods are the most used algorithms for unsupervised learning. However, there is no unique optimal approach for all datasets since different clustering algorithms produce different partitions. To overcome this ...
Phishing Detection Using URL-based XAI Techniques
(2021-01-01)
The Internet has been growing exponentially and expanding facilities, such as payments and online purchases. Likewise, the number of criminals using electronic devices to commit theft or hijacking of information has ...
A Clustering Algorithm Based on an Ensemble of Dissimilarities: An Application in the Bioinformatics Domain
Clustering algorithms such as k-means depend heavily on choosing an appropriate distance metric that reflect accurately the object proximities. A wide range of dissimilarities may be defined that often lead to different ...
Aspectos de adquisición de lenguaje en la enseñanza de programación
(2020-07)
La enseñanza de la programación se ha transformado en un tema popular en los últimos años. Sin embargo, la programación es una disciplina tan reciente que poco se sabe de su didáctica. El objetivo general de esta tesis es ...
Methodology of Machine Learning for the classification and Prediction of users in Virtual Education Environments
(Centro de Informacion Tecnologica, 2019)
A methodology to classify and predict users in virtual education environments, studying the interaction of students with the platform and their performance in exams is proposed. For this, the machine learning tools, main ...