Alberto Castellini

Orcid: 0000-0001-8420-0699

According to our database1, Alberto Castellini authored at least 67 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Unsupervised Active Visual Search With Monte Carlo Planning Under Uncertain Detections.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach.
J. Artif. Intell. Res., 2024

Mind the Error! Detection and Localization of Instruction Errors in Vision-and-Language Navigation.
CoRR, 2024

Reinforcement learning applications in environmental sustainability: a review.
Artif. Intell. Rev., 2024

I2EDL: Interactive Instruction Error Detection and Localization.
Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

Developing safe and explainable autonomous agents: from simulation to the real world.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Scalable Safe Policy Improvement for Factored Multi-Agent MDPs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Adversarial Data Augmentation for HMM-Based Anomaly Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Risk-aware shielding of Partially Observable Monte Carlo Planning policies.
Artif. Intell., November, 2023

Safe and Efficient Reinforcement Learning for Environmental Monitoring.
Proceedings of the Italia Intelligenza Artificiale, 2023

Scalable Safe Policy Improvement via Monte Carlo Tree Search.
Proceedings of the International Conference on Machine Learning, 2023

The Post-pandemic Effects on IoT for Safety: The Safe Place Project.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Learning Logic Specifications for Soft Policy Guidance in POMCP.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Tabular Model Learning in Monte Carlo Tree Search.
Proceedings of the the Italian Workshop on Planning and Scheduling, 2023

Monte Carlo Planning for Mobile Robots in Large Action Spaces With Velocity Obstacles (short paper).
Proceedings of the 10th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots.
Frontiers Robotics AI, 2022

Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks.
Appl. Intell., 2022

Learning state-variable relationships for improving POMCP performance.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

IoT Systems for Healthy and Safe Life Environments.
Proceedings of the 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2022

Active Generation of Logical Rules for POMCP Shielding.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

From POMDP Executions to Probabilistic Axioms.
Proceedings of the Short Paper Proceedings of the 4th Workshop on Artificial Intelligence and Formal Verification, 2022

HMM-based Anomaly Interpretation for Intelligent Robots in Industry 4.0 (short paper).
Proceedings of the 9th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 21th International Conference of the Italian Association for Artificial Intelligence, 2022

Monte Carlo Tree Search Planning for Continuous Action and State Spaces (short paper).
Proceedings of the 9th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 21th International Conference of the Italian Association for Artificial Intelligence, 2022

2021
Predictive Model Generation for Load Forecasting in District Heating Networks.
IEEE Intell. Syst., 2021

Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation.
Eng. Appl. Artif. Intell., 2021

POMP++: Pomcp-based Active Visual Search in unknown indoor environments.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Rule-based Shield Synthesis for Partially Observable Monte Carlo Planning.
Proceedings of the 3rd Workshop on Artificial Intelligence and Formal Verification, 2021

Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: A Rule-Based Approach.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Rule-based Shielding for Partially Observable Monte-Carlo Planning.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

Learning Environment Properties in Partially Observable Monte Carlo Planning.
Proceedings of the 8th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), 2021

2020
Waterline and obstacle detection in images from low-cost autonomous boats for environmental monitoring.
Robotics Auton. Syst., 2020

Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework.
Eng. Appl. Artif. Intell., 2020

Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

XM_HeatForecast: Heating Load Forecasting in Smart District Heating Networks.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Explaining the Influence of Prior Knowledge on POMCP Policies.
Proceedings of the Multi-Agent Systems and Agreement Technologies, 2020

POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

HMMs for Anomaly Detection in Autonomous Robots.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Policy Interpretation for Partially Observable Monte-Carlo Planning: a Rule-based Approach.
Proceedings of the 7th Italian Workshop on Artificial Intelligence and Robotics co-located with the 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020), 2020

2019
Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement.
Cybern. Syst., 2019

Subspace clustering for situation assessment in aquatic drones.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Load Forecasting in District Heating Networks: Model Comparison on a Real-World Case Study.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

eXplainable Modeling (XM): Data Analysis for Intelligent Agents.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Online Monte Carlo Planning for Autonomous Robots: Exploiting Prior Knowledge on Task Similarities.
Proceedings of the 6th Italian Workshop on Artificial Intelligence and Robotics co-located with the XVIII International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019), 2019

2018
Unsupervised activity recognition for autonomous water drones.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Bayesian Clustering of Multivariate Immunological Data.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Intelligent Battery Management for aquatic drones based on Task Difficulty driven POMDPs.
Proceedings of the 5th Italian Workshop on Artificial Intelligence and Robotics, 2018

2017
Detection of Age-Related Changes in Networks of B Cells by Multivariate Time-Series Analysis.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017

Age-related relationships among peripheral B lymphocyte subpopulations.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

EXPO-AGRI: Smart automatic greenhouse control.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods.
Proceedings of the 4th Italian Workshop on Artificial Intelligence and Robotics A workshop of the XVI International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017

2015
An evolutionary procedure for inferring MP systems regulation functions of biological networks.
Nat. Comput., 2015

A genome analysis based on repeat sharing gene networks.
Nat. Comput., 2015

MP-GeneticSynth: inferring biological network regulations from time series.
Bioinform., 2015

Towards a Graph-Theoretic Approach to Hybrid Performance Prediction from Large-Scale Phenotypic Data.
Proceedings of the Information Processing in Cells and Tissues, 2015

2014
Towards an MP Model for B Lymphocytes Maturation.
Proceedings of the Unconventional Computation and Natural Computation, 2014

2012
Towards an Evolutionary Procedure for Reverse-Engineering Biological Networks.
Proceedings of the Artificial Immune Systems - 11th International Conference, 2012

A genetic approach for synthesizing metabolic models from time series.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Data analysis pipeline from laboratory to MP models.
Nat. Comput., 2011

2010
Algorithms and Software for Biological MP Modeling by Statistical and Optimization Techniques.
PhD thesis, 2010

Hybrid Functional Petri Nets as MP systems.
Nat. Comput., 2010

2009
Metabolic P System Flux Regulation by Artificial Neural Networks.
Proceedings of the Membrane Computing, 10th International Workshop, 2009

Learning regulation functions of metabolic systems by artificial neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
MetaPlab: A Computational Framework for Metabolic P Systems.
Proceedings of the Membrane Computing - 9th International Workshop, 2008

2007
MP Systems and Hybrid Petri Nets.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 2007

Psim: A Computational Platform for Metabolic P Systems.
Proceedings of the Membrane Computing, 8th International Workshop, 2007

Toward a Representation of Hybrid Functional Petri Nets by MP Systems.
Proceedings of the Natural Computing, 2007


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