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03/15/2022
What is the best RNN-cell structure for forecasting each time series behavior?
It is unquestionable that time series forecasting is of paramount import...
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04/24/2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
The latest Deep Learning (DL) models for detection and classification ha...
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04/23/2021
MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance
Despite the constant advances in computer vision, integrating modern sin...
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08/09/2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges
Much has been said about the fusion of bio-inspired optimization algorit...
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05/17/2020
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations
It is widely known that very small datasets produce overfitting in Deep ...
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10/22/2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
In the last years, Artificial Intelligence (AI) has achieved a notable m...
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03/27/2018
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation
The recognition of coral species based on underwater texture images pose...
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06/03/2017
