Alberto Castellini

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 60

Top Topics

Subspace Clustering

Partially Observable

Top Venues

Publications

Daniele Meli, Alberto Castellini, Alessandro Farinelli
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach. J. Artif. Intell. Res. 79 (2024)
Francesco Taioli, Stefano Rosa, Alberto Castellini, Lorenzo Natale, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Yiming Wang
Mind the Error! Detection and Localization of Instruction Errors in Vision-and-Language Navigation. CoRR (2024)
Daniele Meli, Alberto Castellini, Alessandro Farinelli
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach. CoRR (2024)
Francesco Taioli, Stefano Rosa, Alberto Castellini, Lorenzo Natale, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Yiming Wang
I2EDL: Interactive Instruction Error Detection and Localization. CoRR (2024)
Maddalena Zuccotto, Alberto Castellini, Davide La Torre, Lapo Mola, Alessandro Farinelli
Reinforcement learning applications in environmental sustainability: a review. Artif. Intell. Rev. 57 (4) (2024)
Alberto Castellini, Davide Bragantini, Davide Rossignolo, Federico Segala, Alessandro Farinelli
Tabular Model Learning in Monte Carlo Tree Search. IPS-RCRA-SPIRIT@AI*IA (2023)
Federico Bianchi, Davide Corsi, Luca Marzari, Daniele Meli, Francesco Trotti, Maddalena Zuccotto, Alberto Castellini, Alessandro Farinelli
Safe and Efficient Reinforcement Learning for Environmental Monitoring. Ital-IA (2023)
Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
Risk-aware shielding of Partially Observable Monte Carlo Planning policies. Artif. Intell. 324 (2023)
Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan
Scalable Safe Policy Improvement via Monte Carlo Tree Search. ICML (2023)
Giulio Mazzi, Daniele Meli, Alberto Castellini, Alessandro Farinelli
Learning Logic Specifications for Soft Policy Guidance in POMCP. CoRR (2023)
Federico Cunico, Luigi Capogrosso, Alberto Castellini, Francesco Setti, Patrik Pluchino, Filippo Zordan, Valeria Santus, Anna Spagnolli, Stefano Cordibella, Giambattista Gennari, Mauro Borgo, Alberto Sozza, Stefano Troiano, Roberto Flor, Andrea Zanella, Alessandro Farinelli, Luciano Gamberini, Marco Cristani
The Post-pandemic Effects on IoT for Safety: The Safe Place Project. DATE (2023)
Lorenzo Bonanni, Daniele Meli, Alberto Castellini, Alessandro Farinelli
Monte Carlo Planning for Mobile Robots in Large Action Spaces With Velocity Obstacles (short paper). AIRO@AI*IA (2023)
Alberto Castellini, Francesco Masillo, Davide Azzalini, Francesco Amigoni, Alessandro Farinelli
Adversarial Data Augmentation for HMM-Based Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Francesco Taioli, Francesco Giuliari, Yiming Wang, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti
Unsupervised Active Visual Search with Monte Carlo planning under Uncertain Detections. CoRR (2023)
Giulio Mazzi, Daniele Meli, Alberto Castellini, Alessandro Farinelli
Learning Logic Specifications for Soft Policy Guidance in POMCP. AAMAS (2023)
Daniele Meli, Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
From POMDP Executions to Probabilistic Axioms. OVERLAY@AI*IA (2022)
Maddalena Zuccotto, Marco Piccinelli, Alberto Castellini, Enrico Marchesini, Alessandro Farinelli
Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots. Frontiers Robotics AI 9 (2022)
Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
Active Generation of Logical Rules for POMCP Shielding. AAMAS (2022)
Alberto Castellini, Federico Bianchi, Alessandro Farinelli
Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks. Appl. Intell. 52 (9) (2022)
Maddalena Zuccotto, Alberto Castellini, Alessandro Farinelli
Learning state-variable relationships for improving POMCP performance. SAC (2022)
Federico Bianchi, Lorenzo Bonanni, Alberto Castellini, Alessandro Farinelli
Monte Carlo Tree Search Planning for Continuous Action and State Spaces (short paper). AIRO@AI*IA (2022)
Alberto Castellini, Cristian Morasso, Alessandro Farinelli
HMM-based Anomaly Interpretation for Intelligent Robots in Industry 4.0 (short paper). AIRO@AI*IA (2022)
Maddalena Zuccotto, Marco Piccinelli, Alberto Castellini, Enrico Marchesini, Alessandro Farinelli
Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots. Future Internet 9 (2022)
Martina Capuzzo, Andrea Zanella, Maddalena Zuccotto, Federico Cunico, Marco Cristani, Alberto Castellini, Alessandro Farinelli, Luciano Gamberini
IoT Systems for Healthy and Safe Life Environments. RTSI (2022)
Alberto Castellini, Enrico Marchesini, Alessandro Farinelli
Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation. Eng. Appl. Artif. Intell. 104 (2021)
Francesco Giuliari, Alberto Castellini, Riccardo Berra, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti, Yiming Wang
POMP++: Pomcp-based Active Visual Search in unknown indoor environments. IROS (2021)
Francesco Giuliari, Alberto Castellini, Riccardo Berra, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti, Yiming Wang
POMP++: Pomcp-based Active Visual Search in unknown indoor environments. CoRR (2021)
Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
Rule-based Shielding for Partially Observable Monte-Carlo Planning. CoRR (2021)
Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: A Rule-Based Approach. AAMAS (2021)
Alberto Castellini, Federico Bianchi, Alessandro Farinelli
Predictive Model Generation for Load Forecasting in District Heating Networks. IEEE Intell. Syst. 36 (4) (2021)
Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
Rule-based Shielding for Partially Observable Monte-Carlo Planning. ICAPS (2021)
Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
Rule-based Shield Synthesis for Partially Observable Monte Carlo Planning. OVERLAY@GandALF (2021)
Maddalena Zuccotto, Alberto Castellini, Marco Piccinelli, Enrico Marchesini, Alessandro Farinelli
Learning Environment Properties in Partially Observable Monte Carlo Planning. AIRO@AI*IA (2021)
Alberto Castellini, Manuele Bicego, Francesco Masillo, Maddalena Zuccotto, Alessandro Farinelli
Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework. Eng. Appl. Artif. Intell. 90 (2020)
Lorenzo Steccanella, Domenico Daniele Bloisi, Alberto Castellini, Alessandro Farinelli
Waterline and obstacle detection in images from low-cost autonomous boats for environmental monitoring. Robotics Auton. Syst. 124 (2020)
Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
Policy Interpretation for Partially Observable Monte-Carlo Planning: a Rule-based Approach. AIRO@AI*IA (2020)
Federico Bianchi, Francesco Masillo, Alberto Castellini, Alessandro Farinelli
XM_HeatForecast: Heating Load Forecasting in Smart District Heating Networks. LOD (1) (2020)
Federico Bianchi, Pietro Tarocco, Alberto Castellini, Alessandro Farinelli
Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting. LOD (1) (2020)
Yiming Wang, Francesco Giuliari, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments. BMVC (2020)
Davide Azzalini, Alberto Castellini, Matteo Luperto, Alessandro Farinelli, Francesco Amigoni
HMMs for Anomaly Detection in Autonomous Robots. AAMAS (2020)
Yiming Wang, Francesco Giuliari, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments. CoRR (2020)
Alberto Castellini, Enrico Marchesini, Giulio Mazzi, Alessandro Farinelli
Explaining the Influence of Prior Knowledge on POMCP Policies. EUMAS/AT (2020)
Giulio Mazzi, Alberto Castellini, Alessandro Farinelli
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach. CoRR (2020)
Alberto Castellini, Francesco Masillo, Manuele Bicego, Domenico Bloisi, Jason Blum, Alessandro Farinelli, Sergio Peignier
Subspace clustering for situation assessment in aquatic drones. SAC (2019)
Federico Bianchi, Alberto Castellini, Pietro Tarocco, Alessandro Farinelli
Load Forecasting in District Heating Networks: Model Comparison on a Real-World Case Study. LOD (2019)
Alberto Castellini, Enrico Marchesini, Alessandro Farinelli
Online Monte Carlo Planning for Autonomous Robots: Exploiting Prior Knowledge on Task Similarities. AIRO@AI*IA (2019)
Alberto Castellini, Manuele Bicego, Domenico Bloisi, Jason Blum, Francesco Masillo, Sergio Peignier, Alessandro Farinelli
Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement. Cybern. Syst. 50 (8) (2019)
Alberto Castellini, Francesco Masillo, Riccardo Sartea, Alessandro Farinelli
eXplainable Modeling (XM): Data Analysis for Intelligent Agents. AAMAS (2019)
Alberto Castellini, Georgios Chalkiadakis, Alessandro Farinelli
Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning. IJCAI (2019)
Alberto Castellini, Giovanni Alberto Beltrame, Manuele Bicego, Jason Blum, Matteo Denitto, Alessandro Farinelli
Unsupervised activity recognition for autonomous water drones. SAC (2018)
Alberto Castellini, Giuditta Franco
Bayesian Clustering of Multivariate Immunological Data. LOD (2018)
Alberto Castellini, Jason Blum, Domenico Bloisi, Alessandro Farinelli
Intelligent Battery Management for aquatic drones based on Task Difficulty driven POMDPs. AIRO@AI*IA (2018)
Alberto Castellini, Giuditta Franco, Antonio Vella
Age-related relationships among peripheral B lymphocyte subpopulations. CEC (2017)
Alberto Castellini, Giovanni Alberto Beltrame, Manuele Bicego, Domenico Bloisi, Jason J. Blum, Matteo Denitto, Alessandro Farinelli
Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods. AIRO@AI*IA (2017)
Alberto Castellini, Giuditta Franco
Detection of Age-Related Changes in Networks of B Cells by Multivariate Time-Series Analysis. MOD (2017)
Alberto Castellini, Alessandro Farinelli, Giovanni Minuto, Davide Quaglia, Iseo Secco, Federico Tinivella
EXPO-AGRI: Smart automatic greenhouse control. BioCAS (2017)
Alberto Castellini, Daniele Paltrinieri, Vincenzo Manca
MP-GeneticSynth: inferring biological network regulations from time series. Bioinform. 31 (5) (2015)
Alberto Castellini, Christian Edlich-Muth, Moses Muraya, Christian Klukas, Thomas Altmann, Joachim Selbig
Towards a Graph-Theoretic Approach to Hybrid Performance Prediction from Large-Scale Phenotypic Data. IPCAT (2015)
Alberto Castellini, Vincenzo Manca, Mauro Zucchelli
An evolutionary procedure for inferring MP systems regulation functions of biological networks. Nat. Comput. 14 (3) (2015)
Alberto Castellini, Giuditta Franco, Alessio Milanese
A genome analysis based on repeat sharing gene networks. Nat. Comput. 14 (3) (2015)
Alberto Castellini, Giuditta Franco, Vincenzo Manca, Riccardo Ortolani, Antonio Vella
Towards an MP Model for B Lymphocytes Maturation. UCNC (2014)
Alberto Castellini, Vincenzo Manca, Mauro Zucchelli, Mirko Busato
A genetic approach for synthesizing metabolic models from time series. GECCO (Companion) (2012)
Alberto Castellini, Vincenzo Manca, Mauro Zucchelli
Towards an Evolutionary Procedure for Reverse-Engineering Biological Networks. ICARIS (2012)
Alberto Castellini, Giuditta Franco, Roberto Pagliarini
Data analysis pipeline from laboratory to MP models. Nat. Comput. 10 (1) (2011)
Alberto Castellini, Giuditta Franco, Vincenzo Manca
Hybrid Functional Petri Nets as MP systems. Nat. Comput. 9 (1) (2010)
Alberto Castellini, Vincenzo Manca
Learning regulation functions of metabolic systems by artificial neural networks. GECCO (2009)
Alberto Castellini, Vincenzo Manca, Yasuhiro Suzuki
Metabolic P System Flux Regulation by Artificial Neural Networks. Workshop on Membrane Computing (2009)
Alberto Castellini, Vincenzo Manca
MetaPlab: A Computational Framework for Metabolic P Systems. Workshop on Membrane Computing (2008)
Alberto Castellini, Giuditta Franco, Vincenzo Manca
Toward a Representation of Hybrid Functional Petri Nets by MP Systems. IWNC (2007)
Luca Bianco, Alberto Castellini
Psim: A Computational Platform for Metabolic P Systems. Workshop on Membrane Computing (2007)