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Optimal online time-series segmentation
(Springer, 2024)
When time series are processed, the difficulty increases with the size of the series. This fact is aggravated when time series are processed online, since their size increases indefinitely. Therefore, reducing their number ...
ReSLAM: Reusable SLAM with heterogeneous cameras
(Elsevier, 2024)
State-of-the-art SLAM methods are designed to work only with the type of camera employed to create the map, and little attention has been paid to the reusability of the maps created. In other words, the maps generated by ...
AttenGait: Gait recognition with attention and rich modalities
(Elsevier, 2024)
Current gait recognition systems employ different types of manual attention mechanisms, like horizontal cropping of the input data to guide the training process and extract useful gait signatures for people identification. ...
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity
(Elsevier, 2024)
The process of extracting valuable and novel insights from raw data involves a series of complex steps. In the realm of Automated Machine Learning (AutoML), a significant research focus is on automating aspects of this ...
Use of recommendation models to provide support to dyslexic students
(Elsevier, 2024)
Dyslexia is the most widespread specific learning disorder and significantly impair different cognitive domains. This, in turn, negatively affects dyslexic students during their learning path. Therefore, specific support ...
Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds
(MDPI, 2024)
Recent advances in Deep Learning and aerial Light Detection And Ranging (LiDAR) have offered the possibility of refining the classification and segmentation of 3D point clouds to contribute to the monitoring of complex ...
Unemployment Rate Prediction Using a Hybrid Model of Recurrent Neural Networks and Genetic Algorithms
(MDPI, 2024)
Unemployment, a significant economic and social challenge, triggers repercussions that affect individual workers and companies, generating a national economic impact. Forecasting the unemployment rate becomes essential for ...
Democratization of advanced models for data science
(Universidad de Córdoba, UCOPress, 2024)
En las últimas décadas, la mayoría de las empresas y organizaciones han generado y almacenado enormes cantidades de datos procedentes de diversas fuentes como transacciones financieras, interacciones con clientes, registros ...