Alessandro Betti | DeepAI

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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 ...

16 Enrico Meloni, et al. ∙

∙ 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...

0 Alessandro Betti, et al. ∙

∙ 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 ...

2 Matteo Tiezzi, et al. ∙

∙ 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...

5 Alessandro Betti, et al. ∙

∙ 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...

8 Antonio Di Tommaso, et al. ∙

∙ 10/12/2021

Can machines learn to see without visual databases?

This paper sustains the position that the time has come for thinking of ...

0 Alessandro Betti, et al. ∙

∙ 09/16/2021

Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments

Continual learning refers to the ability of humans and animals to increm...

16 Enrico Meloni, et al. ∙

∙ 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...

8 Andrea Zugarini, et al. ∙

∙ 09/01/2020

Developing Constrained Neural Units Over Time

In this paper we present a foundational study on a constrained method th...

0 Alessandro Betti, et al. ∙

∙ 06/19/2020

Wave Propagation of Visual Stimuli in Focus of Attention

Fast reactions to changes in the surrounding visual environment require ...

0 Lapo Faggi, et al. ∙

∙ 06/16/2020

Focus of Attention Improves Information Transfer in Visual Features

Unsupervised learning from continuous visual streams is a challenging pr...

10 Matteo Tiezzi, et al. ∙

∙ 02/18/2020

Local Propagation in Constraint-based Neural Network

In this paper we study a constraint-based representation of neural netwo...

8 Giuseppe Marra, et al. ∙

∙ 12/10/2019

Backprop Diffusion is Biologically Plausible

The Backpropagation algorithm relies on the abstraction of using a neura...

0 Alessandro Betti, et al. ∙

∙ 11/13/2019

Condition monitoring and early diagnostics methodologies for hydropower plants

Hydropower plants are one of the most convenient option for power genera...

15 Alessandro Betti, et al. ∙

∙ 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...

0 Lorenzo Gigoni, et al. ∙

∙ 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...

0 Michela Moschella, et al. ∙

∙ 09/01/2019

Learning Visual Features Under Motion Invariance

Humans are continuously exposed to a stream of visual data with a natura...

0 Alessandro Betti, et al. ∙

∙ 07/14/2019

On the Role of Time in Learning

By and large the process of learning concepts that are embedded in time ...

4 Alessandro Betti, et al. ∙

∙ 07/11/2019

Spatiotemporal Local Propagation

This paper proposes an in-depth re-thinking of neural computation that p...

0 Alessandro Betti, et al. ∙

∙ 07/04/2019

Least Action Principles and Well-Posed Learning Problems

Machine Learning algorithms are typically regarded as appropriate optimi...

0 Alessandro Betti, et al. ∙

∙ 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...

0 Alessandro Betti, et al. ∙

∙ 08/28/2018

Cognitive Action Laws: The Case of Visual Features

This paper proposes a theory for understanding perceptual learning proce...

14 Alessandro Betti, et al. ∙

∙ 08/21/2018

Backpropagation and Biological Plausibility

By and large, Backpropagation (BP) is regarded as one of the most import...

0 Alessandro Betti, et al. ∙

∙ 07/17/2018

Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks

The effectiveness of deep neural architectures has been widely supported...

0 Giuseppe Marra, et al. ∙

∙ 07/14/2018

Motion Invariance in Visual Environments

The puzzle of computer vision might find new challenging solutions when ...

0 Alessandro Betti, et al. ∙

∙ 07/14/2018

Generalization in quasi-periodic environments

By and large the behavior of stochastic gradient is regarded as a challe...

0 Giovanni Bellettini, et al. ∙

∙ 07/11/2018

Trees in the Real Field

This paper proposes an algebraic view of trees which opens the doors to ...

0 Alessandro Betti, et al. ∙

∙ 01/16/2018

Convolutional Networks in Visual Environments

The puzzle of computer vision might find new challenging solutions when ...

0 Alessandro Betti, et al. ∙

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