Transport and Noise properties of silicon and carbon one-dimensional devices. - Alessandro Betti (2011)

The principle of least cognitive action. - Alessandro Betti; Marco Gori (Theor. Comput. Sci., 2016)

On the Role of Time in Learning. - Alessandro Betti; Marco Gori (IIH-MSP (1), 2017)

Classification of Heterogenous M2M/IoT Traffic Based on C-plane and U-plane Data. - Simone Di Domenico; Mauro De Sanctis; Ernestina Cianca; Lorenzo Silvestri; Vito Curcuru; Alessandro Betti (PIMRC, 2018)

A Constrained-Based Approach to Machine Learning. - Alessandro Betti; Marco Gori; Giuseppe Marra (SITIS, 2018)

Convolutional Networks in Visual Environments. - Alessandro Betti; Marco Gori (CoRR, 2018)

Generalization in quasi-periodic environments. - Giovanni Bellettini; Alessandro Betti; Marco Gori (CoRR, 2018)

Learning Neuron Non-Linearities with Kernel-Based Deep Neural Networks. - Giuseppe Marra; Dario Zanca; Alessandro Betti; Marco Gori (CoRR, 2018)

Trees in the Real Field. - Alessandro Betti; Marco Gori (CoRR, 2018)

Backpropagation and Biological Plausibility. - Alessandro Betti; Marco Gori; Giuseppe Marra (CoRR, 2018)

Learning Activation Functions by Means of Kernel Based Neural Networks. - Giuseppe Marra; Dario Zanca; Alessandro Betti; Marco Gori (AI*IA, 2019)

Motion Invariance in Visual Environments. - Alessandro Betti; Marco Gori; Stefano Melacci (IJCAI, 2019)

A Machine Learning Model for Long-Term Power Generation Forecasting at Bidding Zone Level. - Michela Moschella; Mauro Tucci; Emanuele Crisostomi; Alessandro Betti (ISGT Europe, 2019)

Predictive Maintenance in Photovoltaic Plants with a Big Data Approach. - Alessandro Betti; Maria Luisa Lo Trovato; Fabio Salvatore Leonardi; Giuseppe Leotta; Fabrizio Ruffini; Ciro Lanzetta (CoRR, 2019)

Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants. - Lorenzo Gigoni; Alessandro Betti; Emanuele Crisostomi; Alessandro Franco; Mauro Tucci; Fabrizio Bizzarri; Debora Mucci (CoRR, 2019)

Least Action Principles and Well-Posed Learning Problems. - Alessandro Betti; Marco Gori (CoRR, 2019)

Spatiotemporal Local Propagation. - Alessandro Betti; Marco Gori (CoRR, 2019)

A Scalable Predictive Maintenance Model for Detecting Wind Turbine Component Failures Based on SCADA Data. - Lorenzo Gigoni; Alessandro Betti; Mauro Tucci; Emanuele Crisostomi (CoRR, 2019)

Condition monitoring and early diagnostics methodologies for hydropower plants. - Alessandro Betti; Emanuele Crisostomi; Gianluca Paolinelli; Antonio Piazzi; Fabrizio Ruffini; Mauro Tucci (CoRR, 2019)

Backprop Diffusion is Biologically Plausible. - Alessandro Betti; Marco Gori (CoRR, 2019)

Developing Constrained Neural Units Over Time. - Alessandro Betti; Marco Gori; Simone Marullo; Stefano Melacci (IJCNN, 2020)

Local Propagation in Constraint-based Neural Networks. - Giuseppe Marra; Matteo Tiezzi; Stefano Melacci; Alessandro Betti; Marco Maggini; Marco Gori (IJCNN, 2020)

Focus of Attention Improves Information Transfer in Visual Features. - Matteo Tiezzi; Stefano Melacci; Alessandro Betti; Marco Maggini; Marco Gori (NeurIPS, 2020)

Local Propagation in Constraint-based Neural Network. - Giuseppe Marra; Matteo Tiezzi; Stefano Melacci; Alessandro Betti; Marco Maggini; Marco Gori (CoRR, 2020)

Real-Time target detection in maritime scenarios based on YOLOv3 model. - Alessandro Betti; Benedetto Michelozzi; Andrea Bracci; Andrea Masini (CoRR, 2020)

Wave Propagation of Visual Stimuli in Focus of Attention. - Lapo Faggi; Alessandro Betti; Dario Zanca; Stefano Melacci; Marco Gori (CoRR, 2020)

An Optimal Control Approach to Learning in SIDARTHE Epidemic model. - Andrea Zugarini; Enrico Meloni; Alessandro Betti; Andrea Panizza; Marco Corneli; Marco Gori (CoRR, 2020)

Learning visual features under motion invariance. - Alessandro Betti; Marco Gori; Stefano Melacci (Neural Networks, 2020)

Cognitive Action Laws: The Case of Visual Features. - Alessandro Betti; Marco Gori; Stefano Melacci (IEEE Trans. Neural Networks Learn. Syst., 2020)

Trees in the Real Field. - Alessandro Betti; Marco Gori (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments. - Enrico Meloni; Alessandro Betti; Lapo Faggi; Simone Marullo; Matteo Tiezzi; Stefano Melacci (CSSL, 2021)

Can machines learn to see without visual databases? - Alessandro Betti; Marco Gori; Stefano Melacci; Marcello Pelillo; Fabio Roli (CoRR, 2021)

A Multi-Stage model based on YOLOv3 for defect detection in PV panels based on IR and Visible Imaging by Unmanned Aerial Vehicle. - Antonio Di Tommaso; Alessandro Betti; Giacomo Fontanelli; Benedetto Michelozzi (CoRR, 2021)

Visual Features and Their Own Optical Flow. - Alessandro Betti; Giuseppe Boccignone; Lapo Faggi; Marco Gori; Stefano Melacci (Frontiers Artif. Intell., 2021)

Fault Prediction and Early-Detection in Large PV Power Plants Based on Self-Organizing Maps. - Alessandro Betti; Mauro Tucci; Emanuele Crisostomi; Antonio Piazzi; Sami Barmada; Dimitri Thomopulos (Sensors, 2021)

Continual Learning through Hamilton Equations. - Alessandro Betti; Lapo Faggi; Marco Gori; Matteo Tiezzi; Simone Marullo; Enrico Meloni; Stefano Melacci (CoLLAs, 2022)

Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks. - Simone Marullo; Matteo Tiezzi; Alessandro Betti; Lapo Faggi; Enrico Meloni; Stefano Melacci (CoLLAs, 2022)

PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks. - Enrico Meloni; Lapo Faggi; Simone Marullo; Alessandro Betti; Matteo Tiezzi; Marco Gori; Stefano Melacci (ICMLA, 2022)

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams. - Matteo Tiezzi; Simone Marullo; Lapo Faggi; Enrico Meloni; Alessandro Betti; Stefano Melacci (IJCAI, 2022)

Foveated Neural Computation. - Matteo Tiezzi; Simone Marullo; Alessandro Betti; Enrico Meloni; Lapo Faggi; Marco Gori; Stefano Melacci (ECML/PKDD (3), 2022)

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

Deep Learning to See: Towards New Foundations of Computer Vision. - Alessandro Betti; Marco Gori; Stefano Melacci (CoRR, 2022)

Deep Learning to See - Towards New Foundations of Computer Vision - Alessandro Betti; Marco Gori; Stefano Melacci (Springer, 2022)

Toward Novel Optimizers: A Moreau-Yosida View of Gradient-Based Learning. - Alessandro Betti; Gabriele Ciravegna; Marco Gori; Stefano Melacci; Kevin Mottin; Frédéric Precioso (AI*IA, 2023)

Knowledge-Driven Active Learning. - Gabriele Ciravegna; Frédéric Precioso; Alessandro Betti; Kevin Mottin; Marco Gori (ECML/PKDD (1), 2023)

Forward Approximate Solution for Linear Quadratic Tracking. - Alessandro Betti; Michele Casoni; Marco Gori (WIRN, 2023)

YOLO-S: A Lightweight and Accurate YOLO-like Network for Small Target Detection in Aerial Imagery. - Alessandro Betti; Mauro Tucci (Sensors, 2023)

Local propagation of visual stimuli in focus of attention. - Lapo Faggi; Alessandro Betti; Dario Zanca; Stefano Melacci; Marco Gori (Neurocomputing, 2023)

Neural Time-Reversed Generalized Riccati Equation. - Alessandro Betti; Michele Casoni; Marco Gori; Simone Marullo; Stefano Melacci; Matteo Tiezzi (AAAI, 2024)

Pitfalls in Processing Infinite-Length Sequences with Popular Approaches for Sequential Data. - Michele Casoni; Tommaso Guidi; Matteo Tiezzi; Alessandro Betti; Marco Gori; Stefano Melacci (ANNPR, 2024)

Bridging Continual Learning of Motion and Self-Supervised Representations. - Matteo Tiezzi; Simone Marullo; Alessandro Betti; Michele Casoni; Stefano Melacci (ECAI, 2024)

Nature-Inspired Local Propagation. - Alessandro Betti; Marco Gori (NeurIPS, 2024)

On the Resurgence of Recurrent Models for Long Sequences - Survey and Research Opportunities in the Transformer Era. - Matteo Tiezzi; Michele Casoni; Alessandro Betti; Tommaso Guidi; Marco Gori; Stefano Melacci (CoRR, 2024)

State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era. - Matteo Tiezzi; Michele Casoni; Alessandro Betti; Marco Gori; Stefano Melacci (CoRR, 2024)

Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm. - Jinwei Zhao; Marco Gori; Alessandro Betti; Stefano Melacci; Hongtao Zhang; Jiedong Liu; Xinhong Hei 001 (CoRR, 2024)

A Unified Framework for Neural Computation and Learning Over Time. - Stefano Melacci; Alessandro Betti; Michele Casoni; Tommaso Guidi; Matteo Tiezzi; Marco Gori (CoRR, 2024)

A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning. - Alessandro Betti; Gabriele Ciravegna; Marco Gori; Stefano Melacci; Kevin Mottin; Frédéric Precioso (Intelligenza Artificiale, 2024)

Generative System Dynamics in Recurrent Neural Networks. - Michele Casoni; Tommaso Guidi; Alessandro Betti; Stefano Melacci; Marco Gori (CoRR, 2025)