Nicholas Rossetti

According to our database, Nicholas Rossetti authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Exploiting Macro-Actions in Learning GPT-Based General Planning Policies.

Massimiliano Tummolo, Nicholas Rossetti, Lukás Chrpa, Ivan Serina, Alfonso Emilio Gerevini

Proceedings of the 37th IEEE International Conference on Tools with Artificial Intelligence, 2025

Regularised Loss Function for Goal Recognition as a Deep Learning Task.

Matteo Olivato, Mattia Chiari, Lorenzo Serina, Valerio Borelli, Massimiliano Tummolo, Ivan Serina, Nicholas Rossetti, Alfonso Emilio Gerevini

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

R-PlanGPT: Neuro-Symbolic Plan Generation via Transformer-based Language Models (short paper).

Massimiliano Tummolo, Mattia Chiari, Luca Putelli, Nicholas Rossetti, Ivan Serina, Alfonso Emilio Gerevini

Proceedings of the 1st International Workshop on Advanced Neuro-Symbolic Applications co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

2024

Enhancing GPT-Based Planning Policies by Model-Based Plan Validation.

Nicholas Rossetti, Massimiliano Tummolo, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Ivan Serina

Proceedings of the Neural-Symbolic Learning and Reasoning - 18th International Conference, 2024

Learning General Policies for Planning through GPT Models.

Nicholas Rossetti, Massimiliano Tummolo, Alfonso Emilio Gerevini, Luca Putelli, Ivan Serina, Mattia Chiari, Matteo Olivato

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

Integrating Classical Planners with GPT-Based Planning Policies.

Massimiliano Tummolo, Nicholas Rossetti, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Ivan Serina

Proceedings of the AIxIA 2024 - Advances in Artificial Intelligence, 2024

2023

Recurrent Neural Networks for Daily Estimation of COVID-19 Prognosis with Uncertainty Handling.

Nicholas Rossetti, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Mattia Chiari, Ivan Serina, Davide Minisci, Emanuele Foca

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022

Machine Learning Models for Predicting Short-Long Length of Stay of COVID-19 Patients.

Matteo Olivato, Nicholas Rossetti, Alfonso Emilio Gerevini, Mattia Chiari, Luca Putelli, Ivan Serina

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2021

An Application of Recurrent Neural Networks for Estimating the Prognosis of COVID-19 Patients in Northern Italy.

Mattia Chiari, Alfonso Emilio Gerevini, Matteo Olivato, Luca Putelli, Nicholas Rossetti, Ivan Serina

Proceedings of the Artificial Intelligence in Medicine, 2021