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10/17/2022
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks
In this paper, we present PARTIME, a software library written in Python ...
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06/30/2022
Deep Learning to See: Towards New Foundations of Computer Vision
The remarkable progress in computer vision over the last few years is, b...
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04/26/2022
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams
Devising intelligent agents able to live in an environment and learn by ...
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04/05/2022
A lightweight and accurate YOLO-like network for small target detection in Aerial Imagery
Despite the breakthrough deep learning performances achieved for automat...
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11/23/2021
A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle
As solar capacity installed worldwide continues to grow, there is an inc...
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10/12/2021
Can machines learn to see without visual databases?
This paper sustains the position that the time has come for thinking of ...
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09/16/2021
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments
Continual learning refers to the ability of humans and animals to increm...
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10/28/2020
An Optimal Control Approach to Learning in SIDARTHE Epidemic model
The COVID-19 outbreak has stimulated the interest in the proposal of nov...
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09/01/2020
Developing Constrained Neural Units Over Time
In this paper we present a foundational study on a constrained method th...
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06/19/2020
Wave Propagation of Visual Stimuli in Focus of Attention
Fast reactions to changes in the surrounding visual environment require ...
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06/16/2020
Focus of Attention Improves Information Transfer in Visual Features
Unsupervised learning from continuous visual streams is a challenging pr...
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02/18/2020
Local Propagation in Constraint-based Neural Network
In this paper we study a constraint-based representation of neural netwo...
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12/10/2019
Backprop Diffusion is Biologically Plausible
The Backpropagation algorithm relies on the abstraction of using a neura...
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11/13/2019
Condition monitoring and early diagnostics methodologies for hydropower plants
Hydropower plants are one of the most convenient option for power genera...
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10/22/2019
A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data
In this work, a novel predictive maintenance system is presented and app...
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10/08/2019
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level
The increasing penetration level of energy generation from renewable sou...
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09/01/2019
Learning Visual Features Under Motion Invariance
Humans are continuously exposed to a stream of visual data with a natura...
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07/14/2019
On the Role of Time in Learning
By and large the process of learning concepts that are embedded in time ...
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07/11/2019
Spatiotemporal Local Propagation
This paper proposes an in-depth re-thinking of neural computation that p...
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07/04/2019
Least Action Principles and Well-Posed Learning Problems
Machine Learning algorithms are typically regarded as appropriate optimi...
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01/29/2019
Predictive Maintenance in Photovoltaic Plants with a Big Data Approach
This paper presents a novel and flexible solution for fault prediction b...
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08/28/2018
Cognitive Action Laws: The Case of Visual Features
This paper proposes a theory for understanding perceptual learning proce...
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08/21/2018
Backpropagation and Biological Plausibility
By and large, Backpropagation (BP) is regarded as one of the most import...
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07/17/2018
Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks
The effectiveness of deep neural architectures has been widely supported...
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07/14/2018
Motion Invariance in Visual Environments
The puzzle of computer vision might find new challenging solutions when ...
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07/14/2018
Generalization in quasi-periodic environments
By and large the behavior of stochastic gradient is regarded as a challe...
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07/11/2018
Trees in the Real Field
This paper proposes an algebraic view of trees which opens the doors to ...
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01/16/2018
