Alberto Castellini
2024
  • D. Meli, A. Castellini and A. Farinelli. Learning logic specifications for policy guidance in POMDPs: an inductive logic programming approach. Journal of Artificial Intelligence Research (JAIR), 79:725-776, 2024. (link)(bibtex).
  • M. Zuccotto, A. Castellini, D. La Torre, L. Mola and A. Farinelli. Reinforcement learning applications in environmental sustainability: a review. Artificial Intelligence Review, 57:88, 1-68, 2024. (link)(bibtex).
2023
  • A. Castellini, D. Bragantini, D. Rossignolo, F. Segala and A. Farinelli. Tabular Model Learning in Monte Carlo Tree Search. IPS-RCRA-SPIRIT 2023: Italian Workshop on Planning and Scheduling, International Conference of the Italian Association for Artificial Intelligence (AI*IA 2023), 2023. (link)(bibtex).
  • F. Bianchi, D. Corsi, L. Marzari, D. Meli, F. Trotti, M. Zuccotto, A. Castellini and A. Farinelli. Safe and Efficient Reinforcement Learning for Environmental Monitoring. Proc. Ital-IA 2023: 3rd National Conference on Artificial Intelligence, CEUR Workshop Proceedings AI*IA Series 3486, 2023. (link)(bibtex).
  • G. Mazzi, A. Castellini and A. Farinelli. Risk-aware shielding of Partially Observable Monte Carlo Planning policies. Artificial Intelligence, Elsevier, 324:103987, 2023. (link)(bibtex).
  • A. Castellini, F. Masillo, D. Azzalini, F. Amigoni and A. Farinelli. Adversarial Data Augmentation for HMM-based Anomaly Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE, 45:12, 2023. (link)(bibtex).
  • A. Castellini, F. Bianchi, E. Zorzi, T. D. Simao, A. Farinelli, M. T. J. Spaan, F. Amigoni and A. Farinelli. Scalable Safe Policy Improvement via Monte Carlo Tree Search. Proc. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, PMLR, 2023. (link)(bibtex).
  • F. Cunico, L. Capogrosso, A. Castellini, F. Setti, P. Pluchino, F. Zordan, V. Santus, A. Spagnolli, S. Cordibella, G. Gennari, M. Borgo, A. Sozza, S. Troiano, R. Flor, A. Zanella, A. Farinelli, L. Gamberini, M. Cristani. The Post-pandemic Effects on IoT for Safety: The Safe Place Project. 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023. (link)(bibtex).
  • A. Castellini, C. Morasso, and A. Farinelli. HMM-based anomaly interpretation for intelligent robots in Industry 4.0. 9th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2022), International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022), 2023. (link)(bibtex).
  • F. Bianchi, L. Bonanni, A. Castellini, and A. Farinelli. Monte Carlo Tree Search Planning for continuous action and state space. 9th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2022), International Conference of the Italian Association for Artificial Intelligence (AI*IA 2022), 2023. (link)(bibtex).
  • G. Mazzi, D. Meli, A. Castellini and A. Farinelli. Learning Logic Specifications for Soft Policy Guidance in POMCP. Proceedings of the 22th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), 2023. (link)(bibtex).
2022
  • A. Castellini, F. Bianchi and A. Farinelli. Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks. Applied Intelligence, Springer Nature, 2022. (link)(bibtex).
  • G. Mazzi, A. Castellini and A. Farinelli. Active Generation of Logical Rules for POMCP Shielding. Proceedings of the 21th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), 9-13 May 2022, pages 1696-1698, Virtual Event Auckland, 2022 (link)(bibtex).
  • M. Zuccotto, A. Castellini, and A. Farinelli. Learning state-variable relationships for improving POMCP performance. SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Association for Computing Machinery, 2022. (link)(bibtex).
  • M. Zuccotto, A. Castellini, M. Piccinelli, Enrico Marchesini and A. Farinelli. Learning environment properties in Partially Observable Monte Carlo Planning. In 8th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2021), International Conference of the Italian Association for Artificial Intelligence (AI*IA 2021), Online, November 30, 2021, pages 50-57, CEUR Workshop Proceedings AI*IA Series 3162, 2022 (link)(bibtex).
  • M. Zuccotto, M. Piccinelli, A. Castellini, E. Marchesini, and A. Farinelli. Learning state-variable relationships in POMCP: A framework for mobile robots. Frontiers in Robotics and AI 9:819107, Online, November 30, 2021, pages 50-57, CEUR Workshop Proceedings AI*IA Series 3162, 2022 (link)(bibtex).
  • M. Capuzzo, A. Zanella, M. Zuccotto, F. Cunico, M. Cristani, A. Castellini, A. Farinelli, L. Gamberini. IoT Systems for Healthy and Safe Life Environments. Research and Technologies for Society and Industry (RTSI 2022), pages 31-37, IEEE, 2022 (link)(bibtex).
  • D. Meli, G. Mazzi, A. Castellini, A. Farinelli. From POMDP executions to policy specifications. 4rd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis (OVERLAY 2022), International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), pages 93-98, CEUR Workshop Proceedings 3311, 2022 (link)(bibtex).
2021
  • G. Mazzi, A. Castellini, A. Farinelli. Rule-based Shield Synthesis for Partially Observable Monte Carlo Planning. Proceedings of the 3rd Workshop on Artificial Intelligence and Formal Verification, Logic, Automata, and Synthesis (OVERLAY 2021), Twelfth International Symposium on Games, Automata, Logics, and Formal Verification (GandALF 2021), Padua, Italy, September 22, 2021, pages 19-23, CEUR Workshop Proceedings 2987, 2021. (link)(bibtex).
  • F. Giuliari, A. Castellini, R. Berra, A. Del Bue, A. Farinelli, M. Cristani, F. Setti and Y. Wang. POMP++: Pomcp-based Active Visual Search in unknown indoor environments. Proceedings of the 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), 27-1 October 2021, pages 1523-1530, Prague, Czech Republic, Online, 2021. (link)(bibtex)
  • A. Castellini, E. Marchesini and A. Farinelli. Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation. Engineering Applications of Artificial Intelligence, Elsevier, 104:104382, 2021. (link)(bibtex)
  • G. Mazzi, A. Castellini, A. Farinelli. Rule-based shielding for Partially Observable Monte-Carlo Planning. Proceedings of the 31st International Conference on Automated Planning and Scheduling (ICAPS 2021), 7-12 June 2021, pages 243-251, Guangzhou, Cina, 2021. (link)(bibtex).
  • G. Mazzi, A. Castellini, A. Farinelli. Identification of unexpected decisions in Partially Observable Monte Carlo Planning: a rule-based approach. Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), 3-7 May 2021, pages -, London, UK, 2021. (link)(bibtex).
  • G. Mazzi, A. Castellini, A. Farinelli. Policy Interpretation for Partially Observable Monte-Carlo Planning: A Rule-Based Approach. 7th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2020), International Conference of the Italian Association for Artificial Intelligence (AI*IA 2020), Online, November 26, 2020, pages -, CEUR Workshop Proceedings AI*IA Series --, 2021. (link)(bibtex)
  • A. Castellini, E. Marchesini, G. Mazzi, A. Farinelli. Explaining the influence of prior knowledge on POMCP policies. 17th European Conference on Multi-Agent Systems and 7th International Conference on Agreement Technologies, EUMAS 2020, September 14-15, 2020 - Thessaloniki, Greece, Lecture Notes in Artificial Intelligence, volume 12520, pages -, Springer-Verlag, 2021. (link)(bibtex)
  • Y. Wang, F. Giuliari, R. Berra, A. Castellini, A. Del Bue, A. Farinelli, M. Cristani, F. Setti. POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments. 31st British Machine Vision Conference, BMVC 2020, 7th - 10th September 2020, virtual, pages 1-12, BMVA Press, 2021. (link)(bibtex)
  • F. Bianchi, F. Masillo, A. Castellini, A. Farinelli. XM HeatForecast: Heating Load Forecasting in Smart District Heating Networks. LOD 2020 - The Fifth International Conference on Machine Learning, Optimization, and Data Science, July 19-23, 2020 - Certosa di Pontignano, Siena, Italy, Lecture Notes in Computer Science, volume 12514, pages 581-592, Springer-Verlag, 2021. (link)(bibtex)
  • F. Bianchi, P. Tarocco, A. Castellini, A. Farinelli. Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting. LOD 2020 - The Fifth International Conference on Machine Learning, Optimization, and Data Science, July 19-23, 2020 - Certosa di Pontignano, Siena, Italy, Lecture Notes in Computer Science, volume 12514, pages 235-246, Springer-Verlag, 2021. (link)(bibtex)
2020
  • A. Castellini, F. Bianchi, A. Farinelli. Predictive model generation for load forecasting in district heating networks. IEEE Intelligent Systems, IEEE, 36(4):86-95, 2020. (link)(bibtex).
  • D. Azzalini, A. Castellini, M. Luperto, A. Farinelli, F. Amigoni. HMMs for Anomaly Detection in Autonomous Robots. In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020), 9-13 May 2020, Auckland, New Zealand, pages 105-113, 2020. (link)(bibtex).
  • A. Castellini, D. Bloisi, J. Blum, F. Masillo, A. Farinelli. Multivariate sensor signals collected by aquatic drones involved in water monitoring: A complete dataset. Data in brief, Elsevier, 30:105436 2020. (link)(bibtex).
  • A. Castellini, E. Marchesini, and A. Farinelli. Online Monte Carlo Planning for Autonomous Robots: Exploiting Prior Knowledge on Task Similarities. In 6th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2019), International Conference of the Italian Association for Artificial Intelligence (AI*IA 2019, Rende, Italy, November 19-22, 2019, pages 25-32, CEUR Workshop Proceedings AI*IA Series 2594, 2020. (link)(bibtex).
  • A. Castellini, M. Bicego, F. Masillo, M. Zuccotto, A. Farinelli. Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework. Engineering Applications of Artificial Intelligence, Elsevier, 90:103499 2020. (link)(bibtex).
  • F. Bianchi, A. Castellini, P. Tarocco, A. Farinelli. Load Forecasting in District Heating Networks: Model Comparison on a Real-World Case Study. In LOD 2019 - The Fifth International Conference on Machine Learning, Optimization, and Data Science, September 10-13, 2019 - Certosa di Pontignano, Siena, Italy, Lecture Notes in Computer Science, volume 11943, pages 553-565, Springer-Verlag, 2020. (link)(bibtex).
  • L. Steccanella, D.D. Bloisi, A. Castellini, and A. Farinelli. Waterline and obstacle detection in images from low-cost autonomous boats for environmental monitoring. Robotics and Autonomous Systems, Elsevier, 124:103346, 2020. (link)(bibtex).
2019
  • A. Castellini, M. Bicego, D. Bloisi, J. Blum, F. Masillo, S. Peignier, and A. Farinelli. Subspace clustering for situation assessment in aquatic drones: a sensitivity analysis for state-model improvement. Cybernetics and Systems, Taylor & Francis, 50(8):658-671, 2019. (link)(bibtex).
  • A. Castellini, G. Franco. Bayesian clustering of multivariate immunological data. In LOD 2018 - The Fourth International Conference on Machine Learning, Optimization, and Data Science, September 13-16, 2018 - Volterra, Italy, Lecture Notes in Computer Science, volume 10710, pages 506-519, Springer-Verlag, 2019. (link)(bibtex).
  • A. Castellini, G. Chalkiadakis, and A. Farinelli. Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning. In Proc. 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), Macao, China, August 10-16 2019, pages 5540-5546, 2019. (link)(bibtex).
  • A. Castellini, F. Masillo, R. Sartea, and A. Farinelli. eXplainable Modeling (XM): Data Analysis for Intelligent Agents. In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), Montreal QC, Canada, May 13-17, 2019, pages 2342-2344, 2019. (link)(bibtex).
  • A. Castellini, F. Masillo, M. Bicego, D. Bloisi, J. Blum, A. Farinelli, and S. Peigner. Subspace clustering for situation assessment in aquatic drones. In 34rd ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019, pages 930-93, 2019. (link)(bibtex).
  • A. Castellini, J. Blum, D. Bloisi, and A. Farinelli. Intelligent Battery Management for aquatic drones based on Task Difficulty driven POMDPs. In 5th Italian Workshop on Artificial Intelligence and Robotics (AIRO 2018), Trento, Italy, November 20-23, 2018, pages 2342-2344, CEUR Workshop Proceedings AI*IA Series 2352, 2019. (link)(bibtex).
2018
  • A. Castellini, G. Beltrame, M. Bicego, J. Blum, M. Denitto, A. Farinelli. Unsupervised activity recognition for autonomous water drones. In 33rd ACM/SIGAPP Symposium On Applied Computing (SAC 2018), Pau, France, April 9-13, 2018 , pages 840-842, ACM, 2018. (link)(bibtex).
  • A. Castellini, A. Farinelli, G. Minuto, D. Quaglia, I. Secco, F. Tinivella. EXPO-AGRI: Smart Automatic Greenhouse Control. In FoodCAS 2017 Electronics for Better Quality of Food, IEEE Biomedical Circuits and Systems Conference (BioCAS), Torino, October 20, 2017, pages 476-479, IEEE, 2018. (link)(bibtex).
  • A. Castellini, G. Franco. Detection of age-related changes in networks of B cells by multivariate time-series analysis. In MOD 2017 - The third International Conference on Machine Learning, Optimization and Big Data, Volterra, Italy, September 14-17, 2017, Lecture Notes in Computer Science, volume 10710, pages 586-597, Springer-Verlag, 2018. (link)(bibtex).
  • A. Castellini, G. A. Beltrame, M. Bicego, D. Bloisi, J. J. Blum, M. Denitto, A. Farinelli. Activity recognition for autonomous water drones based on unsupervised learning methods. In 4th Italian Workshop on Artificial Intelligenceand Robotics (AIRO 2017), International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), Bari, Italy, November 14-17, 2017, pages 16-21, CEUR Workshop Proceedings AI*IA Series 2054, 2018. (link)(bibtex).
2017
  • A. Castellini, G. Franco and A. Vella. Age-related relationships among peripheral B lymphocyte subpopulations. In 2017 IEEE Congress on Evolutionary Computation (CEC) , San Sebastian, 2017, pages 1864-1871, IEEE, 2017. (link)(bibtex).
  • A. Castellini, G. Franco. Multivariate time-series segmentation for immunological data analysis. In 6th International Symposium - From Data to Models and Back (DataMod 2017), satellite event of the 15th International Conference on Software Engineering and Formal Methods (SEFM 2017), Trento, Italy, September 4-5, 2017. (link)(bibtex).
2015
  • A. Castellini, D. Paltrinieri, V. Manca. MP-GeneticSynth: Inferring biological network regulations from time series. Bioinformatics, 31(5):785–787, Oxford University Press, 2015 (link)(bibtex).
  • A. Castellini, V. Manca, M. Zucchelli. An evolutionary procedure for inferring MP systems regulation functions of biological networks. Natural Computing, 14(3):375–391, Springer, 2015 (link)(bibtex).
  • A. Castellini, G. Franco, A. Milanese. A genome analysis based on repeat sharing gene networks. Natural Computing, 14(3):403–420, Springer, 2015 (link)(bibtex).
  • A. Castellini, C. Edlich-Muth, M. Muraya, C. Klukas. Towards a graph-theoretic approach to hybrid performance prediction from large-scale phenotypic data. In 10th International Conference on Information Processing in Cells and Tissues, IPCAT 2015 , San Diego, California, USA, September 14-16 2015, Lecture Notes in Computer Science, volume 9303, pages 271-285, Springer-Verlag, 2015. (link)(bibtex).
  • C. Edlich-Muth, A. Castellini, J. Selbig, Z. Nikoloski. Towards genetic and biomarker-assisted predictive breeding of maize hybrids. In PLANT 2030 Status Seminar 2015, Potsdam, Germany, 2015. (link)(bibtex).
2014
  • A. Castellini, G. Franco, V. Manca, R. Ortolani, A. Vella. Towards an MP Model for B lymphocytes maturation. In 13th International Conference on Unconventional Computation and Natural Computation, UCNC 2014 , London, Ontario, Canada, July 14-18, 2014, Lecture Notes in Computer Science, volume 8553, pages 80-92, Springer-Verlag, 2014. (link)(bibtex).
2013
  • A. Castellini, M. Zucchelli, M. Busato, V. Manca. From time series to biological network regulations: an evolutionary approach. Molecular BioSystems, 9(2):225–233, The Royal Society of Chemistry, 2013 (link)(bibtex).
  • V. Manca, A. Castellini, G. Franco, L. Marchetti, R. Pagliarini. Metabolic P Systems: A Discrete Model for Biological Dynamics. Chinese Journal of Electronics, 22(4):717–723, 2013 (link)(bibtex).
2012
  • A. Castellini, G. Franco, V. Manca. A dictionary based informational genome analysis. BMC Genomics, 13(1):485+, 2012. (link)(bibtex).
  • A. Castellini, V. Manca, M. Zucchelli, M. Busato. A genetic approach for synthesizing metabolic models from time series. In T. Soule and J. H. Moore, editors, GECCO ’12: Companion Material Proceedings of the 11th Annual conference on Genetic and evolutionary computation, July 7-11, 2012, Philadelphia, PA, USA, pages 1415-1416, ACM, 2012. (link)(bibtex).
  • A. Castellini, V. Manca, M. Zucchelli. Towards an evolutionary procedure for reverse-engineering biological networks. In the 11th International Conference on Artificial Immune Systems, ICARIS 2012, Taormina, Italy, August 28-31, 2012, Lecture Notes in Computer Science, volume 7597, pages 271-285, Springer-Verlag, 2012 (link)(bibtex).
2011
  • A. Castellini, G. Franco, R. Pagliarini. Data analysis pipeline from laboratory to MP models. Natural Computing, 10(1):55-76, 2011. (link)(bibtex).
  • A. Castellini, V. Manca, M. Bicego, S. Compri, V. Marino, G. Tosadori. Genome classification by dictionary-based indexes. 6th International Conference on Pattern Recognition in Bioinformatics, Delft, The Netherlands, November 2-4, 2011.
  • A. Castellini. Business Intelligence and Data Mining in Biomedical Research Master thesis, Master in Business Intelligence e Knowledge Management, Faculty of Economics, University of Verona, 2011 (winner of the award "Premio Martello" for the best master thesis).
2010
  • A. Castellini, G. Franco, V. Manca. Hybrid functional Petri nets as MP systems. Natural Computing, 9(1):61–81, March 2010 (link)(bibtex).
  • A. Castellini, V. Manca, Y. Suzuki. Metabolic P system flux regulation by artificial neural networks. In 10th International Workshop on Membrane Computing, WMC 2009, Curtea de Arges, Romania, August 24-27, 2009, Revised, Selected and Invited Papers, G. Paun, et al., editors, Lecture Notes in Computer Science, volume 5957, pages 196-209, Springer-Verlag, 2010 (link)(bibtex).
  • A. Castellini. Algorithms and Software for Biological MP Modeling by Statistical and Optimization Techniques, PhD thesis, Department of Computer Science, University of Verona, 2010 (winner of MIMOS award).
2009
  • A. Castellini, V. Manca. Learning regulation functions of metabolic systems by artificial neural networks. In F. Rothlauf, editor, GECCO ’09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, July 8-12, 2009, Montreal Canada, pages 193-200, ACM, New York, NY, USA, 2009. (link)(bibtex).
  • A. Castellini, G. Franco, V. Manca. Toward a representation of hybrid functional Petri nets by MP systems. In 2nd International Workshop on Natural Computing, Nagoya, Japan, December 10-13, 2007, Y. Suzuki, et al., editors, Natural computing, volume 1 of Proceedings in Information and Communications Technology, pages 28-37. Springer Japan, 2009 (link)(bibtex).
  • A. Castellini, V. Manca. MetaPlab: A computational framework for Metabolic P systems. In 9th International Workshop on Membrane Computing, WMC 2008, Edinburgh, UK, July 28-31, 2008, Revised, Selected and Invited Papers, D. W. Corne, et al., editors, Lecture Notes in Computer Science, volume 5391, pages 157-168. Springer-Verlag, 2009 (link)(bibtex).
  • V. Manca, A. Castellini, G. Franco, L. Marchetti, R. Pagliarini. Metaplab 1.1 user guide. MetaPlab website, 2009 (link)(bibtex)(bibtex).
2008
  • A. Castellini, V. Manca, L. Marchetti. MP systems and hybrid Petri nets. In International Workshop on Nature Inspired Cooperative Strategies for Optimization, NICSO 2007, Acireale, Italy, November, 8-10, 2007, N. Krasnogor, et al., editors, Studies in Computational Intelligence 129, pages 53-62, Springer, 2008 (link)(bibtex).
  • A. Castellini, G. Franco. On modelling signal transduction networks. In D. Diaz-Pernil, et al., Proceedings of Sixth Brainstorming Week on Membrane Computing, BWMC6, February 4-8, 2008, Sevilla, Spain, pages 67-77, Fenix Editora, 2008 (link)(bibtex).
2007
  • L. Bianco, A. Castellini. Psim: A computational platform for Metabolic P systems. In 8th International Workshop on Membrane Computing, WMC 2007, Thessaloniki, Greece, June 25-28, 2007, Revised, Selected and Invited Papers, G. Eleftherakis, et al., editors, Lecture Notes in Computer Science, volume 4860, pages 1-20, Springer-Verlag, 2007 (link)(bibtex).
  • A. Castellini. Albero delle Tecnologie. Technical report, Italian Space Agency, Rome, 2007.
2006
  • A. Castellini. Simulazioni computazionali di operazioni del "DNA Computing", Master thesis, Faculty of Computer Science, University of Verona, 2006.
2005
  • A. Castellini. Human body tracking using particle swarm optimization. 2005. Technical report about the the research work developed during the Erasmus project at the Group of Computer Vision, Department of Electrical Electronic and Computer Engineering, Heriot Watt University, Edinburgh, UK, 2005.

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