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Article
Open AccessFocalize K-NN: an imputation algorithm for time series datasets
The effective use of time series data is crucial in business decision-making. Temporal data reveals temporal trends and patterns, enabling decision-makers to make informed decisions and prevent potential probl...
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Chapter and Conference Paper
Time Series Imputation in Faulty Systems
Time series data has a crucial role in business. It reveals temporal trends and patterns, making it possible for decision-makers to make informed decisions and mitigate problems even before they happen. The ex...
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Chapter and Conference Paper
Clustering ECG Time Series for the Quantification of Physiological Reactions to Emotional Stimuli
Emotion recognition systems aim to develop tools that help in the identification of our emotions, which are related to learning, decision-making and treatment and diagnosis in mental health contexts. The resea...
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Chapter and Conference Paper
Characterization of Emotions Through Facial Electromyogram Signals
Emotions are a high interesting subject for the development of areas such as health and education. As a result, methods that allow their understanding, characterization, and classification have been under the ...
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Chapter and Conference Paper
Exploring Alterations in Electrocardiogram During the Postoperative Pain
The assessment of postoperative pain after a surgical procedure is a critical step to guarantee a suitable analgesic control of pain, and currently, it is based on the self-reports of the patients. However, th...
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Chapter and Conference Paper
Using Bus Tracking Data to Detect Potential Hazard Driving Zones
Urban mobility studies are critical to acquiring insights about traffic management, urban mobility evolution, planning of urban spaces, and many other applications. However, the study and mitigation of recurre...
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Chapter and Conference Paper
Heartbeat Selection Based on Outlier Removal
The relevance of the Electrocardiogram (ECG) in clinical settings as well as in biometric identification systems prompted the necessity to develop automatic methodologies to remove irregular and noisy heartbea...
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Chapter and Conference Paper
New Insights in Echocardiography Based Left-Ventricle Dynamics Assessment
Cardiovascular diseases affect a high percentage of people worldwide, being currently a major clinical concern. Echocardiograms are useful exams that allow monitoring the heart dynamics. However, their analysi...