Toward a Representation of Hybrid Functional Petri Nets by MP Systems. - Alberto Castellini; Giuditta Franco; Vincenzo Manca (IWNC, 2007)

Psim: A Computational Platform for Metabolic P Systems. - Luca Bianco; Alberto Castellini (Workshop on Membrane Computing, 2007)

MP Systems and Hybrid Petri Nets. - Alberto Castellini; Vincenzo Manca; Luca Marchetti (NICSO, 2007)

MetaPlab: A Computational Framework for Metabolic P Systems. - Alberto Castellini; Vincenzo Manca (Workshop on Membrane Computing, 2008)

Learning regulation functions of metabolic systems by artificial neural networks. - Alberto Castellini; Vincenzo Manca (GECCO, 2009)

Metabolic P System Flux Regulation by Artificial Neural Networks. - Alberto Castellini; Vincenzo Manca; Yasuhiro Suzuki (Workshop on Membrane Computing, 2009)

Hybrid Functional Petri Nets as MP systems. - Alberto Castellini; Giuditta Franco; Vincenzo Manca (Nat. Comput., 2010)

Algorithms and Software for Biological MP Modeling by Statistical and Optimization Techniques. - Alberto Castellini (2010)

Data analysis pipeline from laboratory to MP models. - Alberto Castellini; Giuditta Franco; Roberto Pagliarini (Nat. Comput., 2011)

A genetic approach for synthesizing metabolic models from time series. - Alberto Castellini; Vincenzo Manca; Mauro Zucchelli; Mirko Busato (GECCO (Companion), 2012)

Towards an Evolutionary Procedure for Reverse-Engineering Biological Networks. - Alberto Castellini; Vincenzo Manca; Mauro Zucchelli (ICARIS, 2012)

Towards an MP Model for B Lymphocytes Maturation. - Alberto Castellini; Giuditta Franco; Vincenzo Manca; Riccardo Ortolani; Antonio Vella (UCNC, 2014)

Towards a Graph-Theoretic Approach to Hybrid Performance Prediction from Large-Scale Phenotypic Data. - Alberto Castellini; Christian Edlich-Muth; Moses Muraya; Christian Klukas; Thomas Altmann; Joachim Selbig (IPCAT, 2015)

MP-GeneticSynth: inferring biological network regulations from time series. - Alberto Castellini; Daniele Paltrinieri; Vincenzo Manca (Bioinform., 2015)

A genome analysis based on repeat sharing gene networks. - Alberto Castellini; Giuditta Franco; Alessio Milanese (Nat. Comput., 2015)

An evolutionary procedure for inferring MP systems regulation functions of biological networks. - Alberto Castellini; Vincenzo Manca; Mauro Zucchelli (Nat. Comput., 2015)

Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods. - Alberto Castellini; Giovanni Alberto Beltrame; Manuele Bicego; Domenico Bloisi; Jason J. Blum; Matteo Denitto; Alessandro Farinelli (AIRO@AI*IA, 2017)

EXPO-AGRI: Smart automatic greenhouse control. - Alberto Castellini; Alessandro Farinelli; Giovanni Minuto; Davide Quaglia; Iseo Secco; Federico Tinivella (BioCAS, 2017)

Age-related relationships among peripheral B lymphocyte subpopulations. - Alberto Castellini; Giuditta Franco; Antonio Vella (CEC, 2017)

Detection of Age-Related Changes in Networks of B Cells by Multivariate Time-Series Analysis. - Alberto Castellini; Giuditta Franco (MOD, 2017)

Intelligent Battery Management for aquatic drones based on Task Difficulty driven POMDPs. - Alberto Castellini; Jason Blum; Domenico Bloisi; Alessandro Farinelli (AIRO@AI*IA, 2018)

Bayesian Clustering of Multivariate Immunological Data. - Alberto Castellini; Giuditta Franco (LOD, 2018)

Unsupervised activity recognition for autonomous water drones. - Alberto Castellini; Giovanni Alberto Beltrame; Manuele Bicego; Jason Blum; Matteo Denitto; Alessandro Farinelli (SAC, 2018)

Online Monte Carlo Planning for Autonomous Robots: Exploiting Prior Knowledge on Task Similarities. - Alberto Castellini; Enrico Marchesini; Alessandro Farinelli (AIRO@AI*IA, 2019)

eXplainable Modeling (XM): Data Analysis for Intelligent Agents. - Alberto Castellini; Francesco Masillo; Riccardo Sartea; Alessandro Farinelli (AAMAS, 2019)

Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning. - Alberto Castellini; Georgios Chalkiadakis; Alessandro Farinelli (IJCAI, 2019)

Load Forecasting in District Heating Networks: Model Comparison on a Real-World Case Study. - Federico Bianchi 002; Alberto Castellini; Pietro Tarocco; Alessandro Farinelli (LOD, 2019)

Subspace clustering for situation assessment in aquatic drones. - Alberto Castellini; Francesco Masillo; Manuele Bicego; Domenico Bloisi; Jason Blum; Alessandro Farinelli; Sergio Peignier (SAC, 2019)

Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement. - Alberto Castellini; Manuele Bicego; Domenico Bloisi; Jason Blum; Francesco Masillo; Sergio Peignier; Alessandro Farinelli (Cybern. Syst., 2019)

Policy Interpretation for Partially Observable Monte-Carlo Planning: a Rule-based Approach. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2020)

HMMs for Anomaly Detection in Autonomous Robots. - Davide Azzalini; Alberto Castellini; Matteo Luperto; Alessandro Farinelli; Francesco Amigoni (AAMAS, 2020)

POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments. - Yiming Wang 002; Francesco Giuliari; Riccardo Berra; Alberto Castellini; Alessio Del Bue; Alessandro Farinelli; Marco Cristani; Francesco Setti (BMVC, 2020)

Explaining the Influence of Prior Knowledge on POMCP Policies. - Alberto Castellini; Enrico Marchesini; Giulio Mazzi; Alessandro Farinelli (EUMAS/AT, 2020)

XM_HeatForecast: Heating Load Forecasting in Smart District Heating Networks. - Federico Bianchi 002; Francesco Masillo; Alberto Castellini; Alessandro Farinelli (LOD (1), 2020)

Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting. - Federico Bianchi 002; Pietro Tarocco; Alberto Castellini; Alessandro Farinelli (LOD (1), 2020)

Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework. - Alberto Castellini; Manuele Bicego; Francesco Masillo; Maddalena Zuccotto; Alessandro Farinelli (Eng. Appl. Artif. Intell., 2020)

Waterline and obstacle detection in images from low-cost autonomous boats for environmental monitoring. - Lorenzo Steccanella; Domenico Daniele Bloisi; Alberto Castellini; Alessandro Farinelli (Robotics Auton. Syst., 2020)

Learning Environment Properties in Partially Observable Monte Carlo Planning. - Maddalena Zuccotto; Alberto Castellini; Marco Piccinelli; Enrico Marchesini; Alessandro Farinelli (AIRO@AI*IA, 2021)

Rule-based Shielding for Partially Observable Monte-Carlo Planning. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (ICAPS, 2021)

Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: A Rule-Based Approach. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (AAMAS, 2021)

Rule-based Shield Synthesis for Partially Observable Monte Carlo Planning. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (OVERLAY@GandALF, 2021)

POMP++: Pomcp-based Active Visual Search in unknown indoor environments. - Francesco Giuliari; Alberto Castellini; Riccardo Berra; Alessio Del Bue; Alessandro Farinelli; Marco Cristani; Francesco Setti; Yiming Wang 002 (IROS, 2021)

Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation. - Alberto Castellini; Enrico Marchesini; Alessandro Farinelli (Eng. Appl. Artif. Intell., 2021)

Predictive Model Generation for Load Forecasting in District Heating Networks. - Alberto Castellini; Federico Bianchi 002; Alessandro Farinelli (IEEE Intell. Syst., 2021)

Monte Carlo Tree Search Planning for Continuous Action and State Spaces (short paper). - Federico Bianchi 002; Lorenzo Bonanni; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2022)

HMM-based Anomaly Interpretation for Intelligent Robots in Industry 4.0 (short paper). - Alberto Castellini; Cristian Morasso; Alessandro Farinelli (AIRO@AI*IA, 2022)

From POMDP Executions to Probabilistic Axioms. - Daniele Meli; Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (OVERLAY@AI*IA, 2022)

Active Generation of Logical Rules for POMCP Shielding. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (AAMAS, 2022)

IoT Systems for Healthy and Safe Life Environments. - Martina Capuzzo; Andrea Zanella; Maddalena Zuccotto; Federico Cunico; Marco Cristani; Alberto Castellini; Alessandro Farinelli; Luciano Gamberini (RTSI, 2022)

Learning state-variable relationships for improving POMCP performance. - Maddalena Zuccotto; Alberto Castellini; Alessandro Farinelli (SAC, 2022)

Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks. - Alberto Castellini; Federico Bianchi 002; Alessandro Farinelli (Appl. Intell., 2022)

Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots. - Maddalena Zuccotto; Marco Piccinelli; Alberto Castellini; Enrico Marchesini; Alessandro Farinelli (Frontiers Robotics AI, 2022)

Monte Carlo Planning for Mobile Robots in Large Action Spaces With Velocity Obstacles (short paper). - Lorenzo Bonanni; Daniele Meli; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2023)

Tabular Model Learning in Monte Carlo Tree Search. - Alberto Castellini; Davide Bragantini; Davide Rossignolo; Federico Segala; Alessandro Farinelli (IPS-RCRA-SPIRIT@AI*IA, 2023)

Learning Logic Specifications for Soft Policy Guidance in POMCP. - Giulio Mazzi; Daniele Meli; Alberto Castellini; Alessandro Farinelli (AAMAS, 2023)

The Post-pandemic Effects on IoT for Safety: The Safe Place Project. - Federico Cunico; Luigi Capogrosso; Alberto Castellini; Francesco Setti; Patrik Pluchino; Filippo Zordan; Valeria Santus; Anna Spagnolli; Stefano Cordibella; Giambattista Gennari; Mauro Borgo; Alberto Sozza; et al. (DATE, 2023)

Scalable Safe Policy Improvement via Monte Carlo Tree Search. - Alberto Castellini; Federico Bianchi 002; Edoardo Zorzi; Thiago D. Simão; Alessandro Farinelli; Matthijs T. J. Spaan (ICML, 2023)

Safe and Efficient Reinforcement Learning for Environmental Monitoring. - Federico Bianchi 002; Davide Corsi; Luca Marzari; Daniele Meli; Francesco Trotti; Maddalena Zuccotto; Alberto Castellini; Alessandro Farinelli (Ital-IA, 2023)

Risk-aware shielding of Partially Observable Monte Carlo Planning policies. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (Artif. Intell., 2023)

Adversarial Data Augmentation for HMM-Based Anomaly Detection. - Alberto Castellini; Francesco Masillo; Davide Azzalini; Francesco Amigoni; Alessandro Farinelli (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Scalable Safe Policy Improvement for Single and Multi-Agent Systems (short paper). - Federico Bianchi 002; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2024)

What Are You Saying? Explaining Communication in Multi-Agent Reinforcement Learning (short paper). - Daniele Meli; Cristian Morasso; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2024)

Scalable Safe Policy Improvement for Factored Multi-Agent MDPs. - Federico Bianchi 002; Edoardo Zorzi; Alberto Castellini; Thiago D. Simão; Matthijs T. J. Spaan; Alessandro Farinelli (ICML, 2024)

Mind the Error! Detection and Localization of Instruction Errors in Vision-and-Language Navigation. - Francesco Taioli; Stefano Rosa; Alberto Castellini; Lorenzo Natale; Alessio Del Bue; Alessandro Farinelli; Marco Cristani; Yiming Wang 002 (IROS, 2024)

Developing safe and explainable autonomous agents: from simulation to the real world. - Federico Bianchi 002; Alberto Castellini; Alessandro Farinelli; Luca Marzari; Daniele Meli; Francesco Trotti; Celeste Veronese (Ital-IA, 2024)

I2EDL: Interactive Instruction Error Detection and Localization. - Francesco Taioli; Stefano Rosa; Alberto Castellini; Lorenzo Natale; Alessio Del Bue; Alessandro Farinelli; Marco Cristani; Yiming Wang 002 (RO-MAN, 2024)

Reinforcement learning applications in environmental sustainability: a review. - Maddalena Zuccotto; Alberto Castellini; Davide La Torre; Lapo Mola; Alessandro Farinelli (Artif. Intell. Rev., 2024)

Collaborative Instance Navigation: Leveraging Agent Self-Dialogue to Minimize User Input. - Francesco Taioli; Edoardo Zorzi; Gianni Franchi; Alberto Castellini; Alessandro Farinelli; Marco Cristani; Yiming Wang 002 (CoRR, 2024)

Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach. - Daniele Meli; Alberto Castellini; Alessandro Farinelli (J. Artif. Intell. Res., 2024)

Unsupervised Active Visual Search With Monte Carlo Planning Under Uncertain Detections. - Francesco Taioli; Francesco Giuliari; Yiming Wang 002; Riccardo Berra; Alberto Castellini; Alessio Del Bue; Alessandro Farinelli; Marco Cristani; Francesco Setti (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Monte Carlo Tree Search with Velocity Obstacles for Safe and Efficient Motion Planning in Dynamic Environments. - Lorenzo Bonanni; Daniele Meli; Alberto Castellini; Alessandro Farinelli (AAMAS, 2025)

Seldonian Reinforcement Learning for Ad Hoc Teamwork. - Edoardo Zorzi; Alberto Castellini; Leonidas Bakopoulos; Georgios Chalkiadakis; Alessandro Farinelli (CoRR, 2025)

Sentinel: Multi-Patch Transformer with Temporal and Channel Attention for Time Series Forecasting. - Davide Villaboni; Alberto Castellini; Ivan Luciano Danesi; Alessandro Farinelli (CoRR, 2025)