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ORCIDAlessandro Betti
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2020 – today
- 2024
[j8]Alessandro Betti, Gabriele Ciravegna, Marco Gori, Stefano Melacci, Kevin Mottin, Frédéric Precioso:
A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning. Intelligenza Artificiale 18(2): 301-311 (2024)- [c20]Alessandro Betti, Michele Casoni
, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi:
Neural Time-Reversed Generalized Riccati Equation. AAAI 2024: 7935-7942 - [c19]Michele Casoni, Tommaso Guidi, Matteo Tiezzi, Alessandro Betti, Marco Gori, Stefano Melacci:
Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data. ANNPR 2024: 37-48 - [c18]Matteo Tiezzi, Simone Marullo, Alessandro Betti, Michele Casoni, Stefano Melacci:
Bridging Continual Learning of Motion and Self-Supervised Representations. ECAI 2024: 2773-2780 - [i36]Alessandro Betti, Marco Gori:
Nature-Inspired Local Propagation. CoRR abs/2402.05959 (2024) - [i35]Matteo Tiezzi, Michele Casoni, Alessandro Betti, Tommaso Guidi, Marco Gori, Stefano Melacci:
On the Resurgence of Recurrent Models for Long Sequences - Survey and Research Opportunities in the Transformer Era. CoRR abs/2402.08132 (2024) - [i34]Matteo Tiezzi, Michele Casoni, Alessandro Betti, Marco Gori, Stefano Melacci:
State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era. CoRR abs/2406.09062 (2024) - [i33]Jinwei Zhao, Marco Gori, Alessandro Betti, Stefano Melacci, Hongtao Zhang, Jiedong Liu, Xinhong Hei:
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm. CoRR abs/2409.06542 (2024) - [i32]Stefano Melacci, Alessandro Betti, Michele Casoni, Tommaso Guidi, Matteo Tiezzi, Marco Gori:
A Unified Framework for Neural Computation and Learning Over Time. CoRR abs/2409.12038 (2024) - 2023
- [j7]Lapo Faggi, Alessandro Betti, Dario Zanca, Stefano Melacci, Marco Gori:
Local propagation of visual stimuli in focus of attention. Neurocomputing 560: 126775 (2023) - [j6]Alessandro Betti, Mauro Tucci:
YOLO-S: A Lightweight and Accurate YOLO-like Network for Small Target Detection in Aerial Imagery. Sensors 23(4): 1865 (2023) - [c17]Alessandro Betti, Gabriele Ciravegna, Marco Gori, Stefano Melacci, Kevin Mottin, Frédéric Precioso:
Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning. AI*IA 2023: 218-230 - [c16]Gabriele Ciravegna, Frédéric Precioso, Alessandro Betti, Kevin Mottin, Marco Gori:
Knowledge-Driven Active Learning. ECML/PKDD (1) 2023: 38-54 - [i31]Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci, Matteo Tiezzi:
Neural Time-Reversed Generalized Riccati Equation. CoRR abs/2312.09310 (2023) - 2022
- [b2]Alessandro Betti, Marco Gori, Stefano Melacci:
Deep Learning to See - Towards New Foundations of Computer Vision. Springer Briefs in Computer Science, Springer 2022, ISBN 978-3-030-90986-4, pp. 1-96 - [c15]Simone Marullo, Matteo Tiezzi, Alessandro Betti, Lapo Faggi, Enrico Meloni, Stefano Melacci:
Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks. CoLLAs 2022: 183-200 - [c14]Alessandro Betti, Lapo Faggi, Marco Gori, Matteo Tiezzi, Simone Marullo, Enrico Meloni, Stefano Melacci:
Continual Learning through Hamilton Equations. CoLLAs 2022: 201-212 - [c13]Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci:
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. ICMLA 2022: 665-670 - [c12]Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci:
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. IJCAI 2022: 3480-3486 - [c11]Matteo Tiezzi, Simone Marullo, Alessandro Betti, Enrico Meloni, Lapo Faggi, Marco Gori, Stefano Melacci:
Foveated Neural Computation. ECML/PKDD (3) 2022: 19-35 - [i30]Alessandro Betti:
A lightweight and accurate YOLO-like network for small target detection in Aerial Imagery. CoRR abs/2204.02325 (2022) - [i29]Matteo Tiezzi, Simone Marullo, Lapo Faggi, Enrico Meloni, Alessandro Betti, Stefano Melacci:
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. CoRR abs/2204.12193 (2022) - [i28]Alessandro Betti, Marco Gori, Stefano Melacci:
Deep Learning to See: Towards New Foundations of Computer Vision. CoRR abs/2206.15351 (2022) - [i27]Enrico Meloni, Lapo Faggi, Simone Marullo, Alessandro Betti, Matteo Tiezzi, Marco Gori, Stefano Melacci:
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. CoRR abs/2210.09147 (2022) - 2021
- [j5]Alessandro Betti, Giuseppe Boccignone, Lapo Faggi, Marco Gori, Stefano Melacci:
Visual Features and Their Own Optical Flow. Frontiers Artif. Intell. 4: 768516 (2021) - [j4]Alessandro Betti, Mauro Tucci, Emanuele Crisostomi, Antonio Piazzi, Sami Barmada, Dimitri Thomopulos:
Fault Prediction and Early-Detection in Large PV Power Plants Based on Self-Organizing Maps. Sensors 21(5): 1687 (2021) - [c10]Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci:
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. CSSL 2021: 62-74 - [i26]Enrico Meloni, Alessandro Betti, Lapo Faggi, Simone Marullo, Matteo Tiezzi, Stefano Melacci:
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. CoRR abs/2109.07855 (2021) - [i25]Alessandro Betti, Marco Gori, Stefano Melacci, Marcello Pelillo, Fabio Roli:
Can machines learn to see without visual databases? CoRR abs/2110.05973 (2021) - [i24]Antonio Di Tommaso, Alessandro Betti, Giacomo Fontanelli, Benedetto Michelozzi:
A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle. CoRR abs/2111.11709 (2021) - 2020
- [j3]Alessandro Betti, Marco Gori, Stefano Melacci:
Learning visual features under motion invariance. Neural Networks 126: 275-299 (2020) - [j2]Alessandro Betti, Marco Gori, Stefano Melacci:
Cognitive Action Laws: The Case of Visual Features. IEEE Trans. Neural Networks Learn. Syst. 31(3): 938-949 (2020) - [c9]Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci:
Developing Constrained Neural Units Over Time. IJCNN 2020: 1-8 - [c8]Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Local Propagation in Constraint-based Neural Networks. IJCNN 2020: 1-8 - [c7]Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Focus of Attention Improves Information Transfer in Visual Features. NeurIPS 2020 - [p1]Alessandro Betti, Marco Gori:
Trees in the Real Field. Neural Approaches to Dynamics of Signal Exchanges 2020: 177-187 - [i23]Giuseppe Marra, Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Local Propagation in Constraint-based Neural Network. CoRR abs/2002.07720 (2020) - [i22]Alessandro Betti, Benedetto Michelozzi, Andrea Bracci, Andrea Masini:
Real-Time target detection in maritime scenarios based on YOLOv3 model. CoRR abs/2003.00800 (2020) - [i21]Matteo Tiezzi, Stefano Melacci, Alessandro Betti, Marco Maggini, Marco Gori:
Focus of Attention Improves Information Transfer in Visual Features. CoRR abs/2006.09229 (2020) - [i20]Lapo Faggi, Alessandro Betti, Dario Zanca, Stefano Melacci, Marco Gori:
Wave Propagation of Visual Stimuli in Focus of Attention. CoRR abs/2006.11035 (2020) - [i19]Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci:
Developing Constrained Neural Units Over Time. CoRR abs/2009.00296 (2020) - [i18]Andrea Zugarini, Enrico Meloni, Alessandro Betti, Andrea Panizza, Marco Corneli, Marco Gori:
An Optimal Control Approach to Learning in SIDARTHE Epidemic model. CoRR abs/2010.14878 (2020)
2010 – 2019
- 2019
- [c6]Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori:
Learning Activation Functions by Means of Kernel Based Neural Networks. AI*IA 2019: 418-430 - [c5]Alessandro Betti, Marco Gori, Stefano Melacci:
Motion Invariance in Visual Environments. IJCAI 2019: 2009-2015 - [c4]Michela Moschella, Mauro Tucci, Emanuele Crisostomi, Alessandro Betti:
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level. ISGT Europe 2019: 1-5 - [i17]Alessandro Betti, Maria Luisa Lo Trovato, Fabio Salvatore Leonardi, Giuseppe Leotta, Fabrizio Ruffini, Ciro Lanzetta:
Predictive Maintenance in Photovoltaic Plants with a Big Data Approach. CoRR abs/1901.10855 (2019) - [i16]Lorenzo Gigoni, Alessandro Betti, Emanuele Crisostomi, Alessandro Franco, Mauro Tucci, Fabrizio Bizzarri, Debora Mucci:
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants. CoRR abs/1903.06800 (2019) - [i15]Alessandro Betti, Marco Gori:
Least Action Principles and Well-Posed Learning Problems. CoRR abs/1907.02517 (2019) - [i14]Alessandro Betti, Marco Gori:
Spatiotemporal Local Propagation. CoRR abs/1907.05106 (2019) - [i13]Alessandro Betti, Marco Gori:
On the Role of Time in Learning. CoRR abs/1907.06198 (2019) - [i12]Alessandro Betti, Marco Gori, Stefano Melacci:
Learning Visual Features Under Motion Invariance. CoRR abs/1909.00350 (2019) - [i11]Michela Moschella, Mauro Tucci, Emanuele Crisostomi, Alessandro Betti:
A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level. CoRR abs/1910.03276 (2019) - [i10]Lorenzo Gigoni, Alessandro Betti, Mauro Tucci, Emanuele Crisostomi:
A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data. CoRR abs/1910.09808 (2019) - [i9]Alessandro Betti, Emanuele Crisostomi, Gianluca Paolinelli, Antonio Piazzi, Fabrizio Ruffini, Mauro Tucci:
Condition monitoring and early diagnostics methodologies for hydropower plants. CoRR abs/1911.06242 (2019) - [i8]Alessandro Betti, Marco Gori:
Backprop Diffusion is Biologically Plausible. CoRR abs/1912.04635 (2019) - 2018
- [c3]Simone Di Domenico, Mauro De Sanctis, Ernestina Cianca, Lorenzo Silvestri, Vito Curcuru, Alessandro Betti:
Classification of Heterogenous M2M/IoT Traffic Based on C-plane and U-plane Data. PIMRC 2018: 1-5 - [c2]Alessandro Betti, Marco Gori, Giuseppe Marra:
A Constrained-Based Approach to Machine Learning. SITIS 2018: 737-746 - [i7]Alessandro Betti, Marco Gori:
Convolutional Networks in Visual Environments. CoRR abs/1801.07110 (2018) - [i6]Giovanni Bellettini, Alessandro Betti, Marco Gori:
Generalization in quasi-periodic environments. CoRR abs/1807.05343 (2018) - [i5]Giuseppe Marra, Dario Zanca, Alessandro Betti, Marco Gori:
Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks. CoRR abs/1807.06302 (2018) - [i4]Alessandro Betti, Marco Gori:
Trees in the Real Field. CoRR abs/1807.06440 (2018) - [i3]Alessandro Betti, Marco Gori, Stefano Melacci:
Motion Invariance in Visual Environments. CoRR abs/1807.06450 (2018) - [i2]Alessandro Betti, Marco Gori, Giuseppe Marra:
Backpropagation and Biological Plausibility. CoRR abs/1808.06934 (2018) - [i1]Alessandro Betti, Marco Gori, Stefano Melacci:
Cognitive Action Laws: The Case of Visual Features. CoRR abs/1808.09162 (2018) - 2017
- [c1]Alessandro Betti, Marco Gori:
On the Role of Time in Learning. IIH-MSP (1) 2017: 147-153 - 2016
- [j1]Alessandro Betti, Marco Gori:
The principle of least cognitive action. Theor. Comput. Sci. 633: 83-99 (2016) - 2011
- [b1]Alessandro Betti:
Transport and Noise properties of silicon and carbon one-dimensional devices. University of Pisa, Italy, 2011
Coauthor Index
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