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massimo.panella@uniroma1.it
Massimo Panella
Professore Ordinario
Struttura:
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
E-mail:
massimo.panella@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Convergenza e generalizzazione nelle reti neurali quantistiche
Memorie ET2024
2024
Modelli generativi quantistici
Memorie ET2024
2024
Reti neurali applicate all’elaborazione di segnali biomedici per l’analisi comportamentale
Memorie ET2024
2024
Il quantum computing per la tomografia elettromagnetica
Memorie ET2024
2024
Integrazione del calcolo iperdimensionale nei circuiti digitali e nelle reti neurali
Memorie ET2024
2024
Reti neurali e neurofuzzy per la classificazione di serie temporali energetiche
Memorie ET2024
2024
Temporal Graph Neural Networks and Explainability for Future Energy Scenarios
Memorie ET2024
2024
Quantum hybrid diffusion models for image synthesis
KI - KÜNSTLICHE INTELLIGENZ
2024
A variational approach to quantum gated recurrent units
JOURNAL OF PHYSICS COMMUNICATIONS
2024
A neural network symbolic approach to structural health monitoring in aerospace applications
Proceedings of 2024 IEEE Congress on Evolutionary Computation (IEEE CEC 2024)
2024
Quantum Generative Modeling via Straightforward State Preparation
Proceedings of Quantum Techniques in Machine Learning (QTML 2024)
2024
Enhancing QAOA Ansatz via Multi-Parameterized Layer and Blockwise Optimization
Proceedings of Quantum Techniques in Machine Learning (QTML 2024)
2024
Quantum Enhanced Knowledge Distillation
Proceedings of Quantum Techniques in Machine Learning (QTML 2024)
2024
Advancing Quantum Machine Learning: Efficient Hybrid Quantum Computation
Meeting Centro Nazionale di Ricerca in HPC, Big Data and Quantum Computing (ICSC)
2024
Machine learning forecast of surface solar irradiance from meteo satellite data
REMOTE SENSING OF ENVIRONMENT
2024
A layerwise-multi-angle approach to fine-tuning the quantum approximate optimization algorithm
Proceedings of the International Joint Conference on Neural Networks
2024
Multi-label classification with imbalanced classes by fuzzy deep neural networks
INTEGRATED COMPUTER-AIDED ENGINEERING
2024
An explainable fast deep neural network for emotion recognition
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
2024
A randomized deep neural network for emotion recognition with landmarks detection
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
2023
A Study on Structural Health Monitoring of a Large Space Antenna via Distributed Sensors and Deep Learning
SENSORS
2023
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Progetti di Ricerca
Machine Learning and Sensor Integration for Innovative e-Health Practices in Parkinson's Disease
Laboratori di ricerca
Laboratorio di Intelligenza Computazionale e Sistemi Pervasivi
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