Listar por tema "Feature extraction"
Mostrando ítems 1-10 de 10
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A pipeline architecture for feature-based unsupervised clustering using multivariate time series from HPC jobs
(Elsevier B.V., 2023-05)[Abstract]: Time series are key across industrial and research areas for their ability to model behaviour across time, making them ideal for a wide range of use cases such as event monitoring, trend prediction or anomaly ... -
Analyzing categorical time series with the R package ctsfeatures
(Elsevier B.V., 2024-03)[Absctract]: Time series data are ubiquitous nowadays. Whereas most of the literature on the topic deals with real-valued time series, categorical time series have received much less attention. However, the development of ... -
Comparative and Behavioural Analysis of a Diffuse Paradigm for the Evaluation of Diabetic Macular Edema in OCT images
(Institute of Electrical and Electronics Engineers, 2021)[Abstract]: Nowadays, Diabetic Macular Edema (DME) is one of the leading causes of blindness in developed countries, and its characterized by the presence of pathological fluid accumulations inside the retinal layers. ... -
Cystoid Fluid Color Map Generation in Optical Coherence Tomography Images Using a Densely Connected Convolutional Neural Network
(Institute of Electrical and Electronics Engineers, 2019)[Abstract]: Optical Coherence Tomography (OCT) is a medical imaging modality that is currently the focus of many advancements in the field of ophthalmology. It is widely used to diagnose relevant diseases like Diabetic ... -
Development of an Intelligent Classifier Model for Denial of Service Attack Detection
(UNIR, 2023)[Abstract] The prevalence of Internet of Things (IoT) systems deployment is increasing across various domains, from residential to industrial settings. These systems are typically characterized by their modest computationa ... -
Evolutionary Computation and QSAR Research
(Bentham Science, 2013)[Abstract] The successful high throughput screening of molecule libraries for a specific biological property is one of the main improvements in drug discovery. The virtual molecular filtering and screening relies greatly ... -
Integrated system based on the automation of the extraction and characterization, using natural processing language, of user ratings in sales platforms
(2022)[Abstract] At present, more and more importance is given to what people think, what they think and what are your preferences. With the rise of social networks and online stores, these data are accessible more than ever ... -
Network Data Flow Clustering based on Unsupervised Learning
(Institute of Electrical and Electronics Engineers Inc., 2019)[Abstract]: Network communication data analysis is crucial in order to provide an adequate security level in computer infrastructures. As the volume of data and the number of features rise, the difficulties associated with ... -
On the Effectiveness of Convolutional Autoencoders on Image-Based Personalized Recommender Systems
(MDPI AG, 2020-08-19)[Abstract] Over the years, the success of recommender systems has become remarkable. Due to the massive arrival of options that a consumer can have at his/her reach, a collaborative environment was generated, where users ... -
Ordinal Time Series Analysis with the R Package otsfeatures
(MDPI, 2023-06)[Abstract] The 21st century has witnessed a growing interest in the analysis of time series data. While most of the literature on the topic deals with real-valued time series, ordinal time series have typically received ...