Alessandro Betti

Orcid: 0000-0002-9052-8743

According to our database1, Alessandro Betti authored at least 50 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
On the Resurgence of Recurrent Models for Long Sequences - Survey and Research Opportunities in the Transformer Era.
CoRR, 2024

Nature-Inspired Local Propagation.
CoRR, 2024

Neural Time-Reversed Generalized Riccati Equation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Local propagation of visual stimuli in focus of attention.
Neurocomputing, December, 2023

YOLO-S: A Lightweight and Accurate YOLO-like Network for Small Target Detection in Aerial Imagery.
Sensors, February, 2023

Knowledge-Driven Active Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning.
Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022
Deep Learning to See - Towards New Foundations of Computer Vision
Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-90986-4, 2022

Deep Learning to See: Towards New Foundations of Computer Vision.
CoRR, 2022

A lightweight and accurate YOLO-like network for small target detection in Aerial Imagery.
CoRR, 2022

Foveated Neural Computation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks.
Proceedings of the Conference on Lifelong Learning Agents, 2022

Continual Learning through Hamilton Equations.
Proceedings of the Conference on Lifelong Learning Agents, 2022

2021
Fault Prediction and Early-Detection in Large PV Power Plants Based on Self-Organizing Maps.
Sensors, 2021

Visual Features and Their Own Optical Flow.
Frontiers Artif. Intell., 2021

A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle.
CoRR, 2021

Can machines learn to see without visual databases?
CoRR, 2021

Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments.
Proceedings of the Continual Semi-Supervised Learning - First International Workshop, 2021

2020
Trees in the Real Field.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Cognitive Action Laws: The Case of Visual Features.
IEEE Trans. Neural Networks Learn. Syst., 2020

Learning visual features under motion invariance.
Neural Networks, 2020

An Optimal Control Approach to Learning in SIDARTHE Epidemic model.
CoRR, 2020

Wave Propagation of Visual Stimuli in Focus of Attention.
CoRR, 2020

Real-Time target detection in maritime scenarios based on YOLOv3 model.
CoRR, 2020

Local Propagation in Constraint-based Neural Network.
CoRR, 2020

Focus of Attention Improves Information Transfer in Visual Features.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Local Propagation in Constraint-based Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Developing Constrained Neural Units Over Time.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Backprop Diffusion is Biologically Plausible.
CoRR, 2019

Condition monitoring and early diagnostics methodologies for hydropower plants.
CoRR, 2019

A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data.
CoRR, 2019

Spatiotemporal Local Propagation.
CoRR, 2019

Least Action Principles and Well-Posed Learning Problems.
CoRR, 2019

Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants.
CoRR, 2019

Predictive Maintenance in Photovoltaic Plants with a Big Data Approach.
CoRR, 2019

A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level.
Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

Motion Invariance in Visual Environments.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Activation Functions by Means of Kernel Based Neural Networks.
Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

2018
Backpropagation and Biological Plausibility.
CoRR, 2018

Trees in the Real Field.
CoRR, 2018

Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks.
CoRR, 2018

Generalization in quasi-periodic environments.
CoRR, 2018

Convolutional Networks in Visual Environments.
CoRR, 2018

A Constrained-Based Approach to Machine Learning.
Proceedings of the 14th International Conference on Signal-Image Technology & Internet-Based Systems, 2018

Classification of Heterogenous M2M/IoT Traffic Based on C-plane and U-plane Data.
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018

2017
On the Role of Time in Learning.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017

2016
The principle of least cognitive action.
Theor. Comput. Sci., 2016

2011
Transport and Noise properties of silicon and carbon one-dimensional devices.
PhD thesis, 2011


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