Papers
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Temporal Databases
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Journals
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Luca Anselma and Paolo Terenziani, Preferences in Temporal Relational Databases, IEEE Access, 12:65418-65427, 2024, doi: 10.1109/ACCESS.2024.3397724
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Luca Anselma, Luca Piovesan and Paolo Terenziani, Dealing with temporal indeterminacy in relational databases: An AI methodology, AI Communications, 32(2019):207-221, IOS Press, 2019, doi: 10.3233/AIC-190619
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Luca Anselma, Luca Piovesan, Bela Stantic and Paolo Terenziani, A comprehensive approach to 'Now' in relational temporal databases: semantics and representation, IEEE Transactions on Knowledge and Data Engineering, 28(10):2538-2551, October 2016, doi: 10.1109/TKDE.2016.2588490
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Luca Anselma, Luca Piovesan and Paolo Terenziani, A 1NF temporal relational model and algebra coping with valid-time temporal indeterminacy, Journal of Intelligent Information Systems, 47(3):345-374, December 2016, doi: 10.1007/s10844-015-0367-2
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Luca Anselma, Bela Stantic, Paolo Terenziani and Abdul Sattar, Querying now-relative data, Journal of Intelligent Information Systems, 41(2):285-311, October 2013.
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Luca Anselma, Paolo Terenziani and Richard T. Snodgrass, Valid-Time Indeterminacy in Temporal Relational Databases: Semantics and Representations, IEEE Transactions on Knowledge and Data Engineering, 25(12):2880-2894, 2013.
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Luca Anselma, Alessio Bottrighi, Stefania Montani and Paolo Terenziani, Extending BCDM to cope with proposals and evaluations of updates, IEEE Transactions on Knowledge and Data Engineering, 25(3):556-570, 2013.
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Books and Conference Proceedings
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Luca Anselma, Antonella Coviello and Paolo Terenziani, Evaluating a Temporal Relational Algebra supporting Preferences in Temporal Relational Databases, Proc. of the 28th European Conference on Advances in Databases and Information Systems (ADBIS 2024), Bayonne, France, In: Tekli, J., Gamper, J., Chbeir, R., Manolopoulos, Y. (eds), Lecture Notes in Computer Science, vol 14918. Springer, Cham, 2024, doi: 10.1007/978-3-031-70626-4_3.
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Luca Anselma, Luca Piovesan and Paolo Terenziani, An AI Approach to Temporal Indeterminacy in Relational Databases, Proc. of 16th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2018), LNCS 11238, pp. 16-28, 2018.
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Luca Anselma, Paolo Terenziani and Richard T. Snodgrass, Valid-Time Indeterminacy in Temporal Relational Databases: A Family of Data Models, Proc. of 17th International Symposium on Temporal Representation and Reasoning (TIME'10), pp. 139-145, © IEEE Computer Society Press, 2010. [pdf of a preprint version]
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Journals
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Artificial Intelligence: Temporal Reasoning
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Journals
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Luca Anselma, Alessandro Mazzei, Luca Piovesan and Paolo Terenziani, Reasoning and Querying Bounds on Differences with Layered Preferences, International Journal of Intelligent Systems, 2021, 36(5):1998-2035, doi: 10.1002/int.22369.
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Luca Anselma, Stefania Montani and Paolo Terenziani, An intensional approach to qualitative and quantitative periodicity-dependent temporal constraint, International Journal of Intelligent Systems 24(8):902-918, August 2009. [pdf of a preprint version]
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Paolo Terenziani and Luca Anselma, A Knowledge Server for Reasoning about Temporal Constraints Between Classes and Instances of Events, International Journal of Intelligent Systems 19(10):919-947, 2004. [pdf]
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Paolo Terenziani and Luca Anselma, Temporal reasoning about composite and/or periodic events, Journal of Experimental and Theoretical Artificial Intelligence 18(1):87-115, March 2006. [pdf of a preprint version]
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Books and Conference Proceedings (and my PhD Thesis)
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Luca Anselma, Alessandro Mazzei, Luca Piovesan and Paolo Terenziani, Temporal Reasoning with Layered Preferences, Proc. of 24th International Symposium on Intelligent Systems (ISMIS 2018), Lecture Notes in Computer Science, vol 11177:367-376. Springer, Cham.
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Luca Anselma, Representing and reasoning with classes and instances of possibly periodic events. Theory, algorithms and applications, PhD Thesis, Department of Computer Science, University of Turin, Italy, 2006. [pdf] [talk slides]
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Luca Anselma, Recursive Representation of Periodicity and Temporal Reasoning, Proc. of 11th International Symposium on Temporal Representation and Reasoning (TIME'04), pp. 52-59, © IEEE Computer Society Press, 2004. [pdf of a preprint version] [talk slides]
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Paolo Terenziani and Luca Anselma, Towards a temporal reasoning approach dealing with inheritance, part-of and periodicity, Proc. of 10th International Symposium on Temporal Representation and Reasoning and 4th International Conference on Temporal Logic (TIME-ICTL'03), © IEEE Computer Society Press, pp. 37-46, 2003. [pdf]
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Paolo Terenziani, Luca Anselma and Stefania Montani, Periodicity-Based Temporal Reasoning, Proc. of 19th International Joint Conference on Artificial Intelligence (IJCAI-05) Workshop on Spatial and Temporal Reasoning, Edinburgh, Scotland, UK, pp. 63-69, 2005. [pdf] [talk slides]
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Paolo Terenziani, Luca Anselma and Stefania Montani, Periodicity-Based Temporal Reasoning, Lecture Notes in Artificial Intelligence, 3673:62-65, © Springer-Verlag, 2005. [pdf of a preprint version]
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Luca Anselma, Paolo Terenziani, Stefania Montani and Alessio Bottrighi Applying AI Temporal Reasoning Techniques to Clinical Guidelines, Proc. of 20th International Joint Conference on Artificial Intelligence (IJCAI-07) Workshop on Spatial and Temporal Reasoning, Hyderabad, India, pp. 1-10, 2007. [pdf]
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Journals
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Natural Language Processing and Natural Language Generation
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Journals
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Alessandro Mazzei, Luca Anselma, Manuela Sanguinetti, Amon Rapp, Dario Mana, Md Murad Hossain, Viviana Patti, Rossana Simeoni, Lucia Longo, Anticipating User Intentions in Customer Care Dialogue Systems, IEEE: Transactions on Human-Machine Systems, 52(5):973-983, Oct. 2022, doi: 10.1109/THMS.2022.3184400.
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Books and Conference Proceedings
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Muhammad Saad Amin, Luca Anselma, and Alessandro Mazzei. Evaluating Structural and Linguistic Quality in Urdu DRS Parsing and Generation through Bidirectional Evaluation. Proc. of the First Workshop on Natural Language Processing for Indo-Aryan and Dravidian Languages, pages 33-43, Abu Dhabi. Association for Computational Linguistics, 2025. [pdf]
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Muhammad Saad Amin, Luca Anselma, and Alessandro Mazzei. Exploiting Task Reversibility of DRS Parsing and Generation: Challenges and Insights from a Multi-lingual Perspective. Proc. of the First Workshop on Language Models for Low-Resource Languages, pages 268-286, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics, 2025. [pdf]
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Muhammad Saad Amin, Luca Anselma, and Alessandro Mazzei, Data Augmentation for Low-Resource Italian NLP: Enhancing Semantic Processing with DRS, Proc. of the Tenth Italian Conference on Computational Linguistics, CLiC-it 2024, Pisa, Italy, CEUR-WS 3878. [pdf]
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M. S. Amin, L. Anselma and A. Mazzei, Improving DRS-to-Text Generation through Delexicalization and Data Augmentation, Proc. of the 29th International Conference on Natural Language & Information Systems (NLDB 2024), Turin, Italy, 2024, Lecture Notes in Computer Science, vol 14762. Springer, Cham, doi: 10.1007/978-3-031-70239-6_9.
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Muhammad Saad Amin, Luca Anselma, and Alessandro Mazzei, Exploring Data Augmentation in Neural DRS-to-Text Generation. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics Volume 1: Long Papers (EACL 2024), pages 2164-2178, St. Julian's, Malta. Association for Computational Linguistics, 2024. [pdf]
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Md. Murad Hossain, Luca Anselma and Alessandro Mazzei, Exploring sentiments in summarization: SentiTextRank, an Emotional Variant of TextRank, Proc. of the Ninth Italian Conference on Computational Linguistics, CLiC-it 2023, Venezia, Italy, CEUR-WS 3596, 2023 [pdf].
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M. S. Amin, L. Anselma and A. Mazzei, The Role of Activation Function in Neural NER for a Large Semantically Annotated Corpus, 2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE), Lahore, Pakistan, 2022, pp. 1-6, doi: 10.1109/ETECTE55893.2022.10007317.
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Muhammad Saad Amin, Alessandro Mazzei and Luca Anselma, Towards Data Augmentation for DRS-to-Text Generation, NL4AI 2022: Sixth Workshop on Natural Language for Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence (AI* IA 2022), November 30, 2022, Udine, Italy, 2022.
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Luca Anselma, Dario Ferrero, Alessandro Mazzei, Query in linguaggio naturale per il dominio della dieta mediterranea (Natural Language Queries for the Mediterranean Diet Domain), Italian Conference on Computational Linguistics (CLIC-IT), 2021. [pdf].
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Mirko Di Lascio, Manuela Sanguinetti, Luca Anselma, Dario Mana, Alessandro Mazzei, Viviana Patti and Rossana Simeoni, Content Selection for Explanation Requests in Customer-Care Domain, 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI), pp. 5-10, 2020, [pdf].
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Mirko Di Lascio, Manuela Sanguinetti, Luca Anselma, Dario Mana, Alessandro Mazzei, Viviana Patti and Rossana Simeoni, Natural Language Generation in Dialogue Systems for Customer Care, Italian Conference on Computational Linguistics (CLIC-IT 2020), pp. 1-6, [pdf].
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Journals
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Health Informatics
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Journals
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Davide Caldo, Silvia Bologna, Luana Conte, Muhammad Saad Amin, Luca Anselma, Valerio Basile, Md. Murad Hossain, Alessandro Mazzei, Paolo Heritier, Riccardo Ferracini, Elizaveta Kon & Giorgio De Nunzio, Machine learning algorithms distinguish discrete digital emotional fingerprints for web pages related to back pain, Nature Scientific Reports, 13, 4654, 2023, doi: 10.1038/s41598-023-31741-2.
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L. Anselma, L. Piovesan, B. Stantic, P. Terenziani, Representing and querying now-relative relational medical data, Artificial Intelligence in Medicine, 86:33-52, March 2018, doi: 10.1016/j.artmed.2018.01.004.
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L. Anselma, L. Piovesan, P. Terenziani, Temporal detection and analysis of guideline interactions, Artificial Intelligence in Medicine, 76:40-62, February 2017, doi: 10.1016/j.artmed.2017.01.001.
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L. Anselma, A. Bottrighi, S. Montani, P. Terenziani, Managing proposals and evaluations of updates to medical knowledge: theory and applications, Journal of Biomedical Informatics, 46(2):363-376, April 2013, ISSN 1532-0464, doi: 10.1016/j.jbi.2012.12.004.
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L. Anselma, A. Bottrighi, G. Molino, S. Montani, P. Terenziani, M. Torchio, Supporting Knowledge-Based Decision Making in the Medical Context: The GLARE Approach, International Journal of Knowledge-Based Organizations 1(1):42-60, IGI Global, 2011.
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Luca Anselma, Paolo Terenziani, Stefania Montani and Alessio Bottrighi, Towards a comprehensive treatment of repetitions, periodicity and temporal constraints in clinical guidelines, Artificial Intelligence in Medicine 38:171-195, Elsevier, October 2006. [pdf]
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Books and Conference Proceedings
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L. Anselma, A. Bottrighi, L. Piovesan, P. Terenziani, META-GLARE's supports to agent coordination, Biomedical Engineering Systems and Technologies CCIS 1024, pp. 464-496, Springer, 2019, doi: 10.1007/978-3-030-29196-9_24.
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Antonella Andolina, Luca Anselma, Luca Piovesan and Paolo Terenziani, Querying probabilistic temporal constraints for guideline interaction analysis: the GLARE's approach, Proc. of 16th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2018), LNCS 11238, pp. 3-15, 2018.
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L. Anselma, L. Piovesan, P. Terenziani, Temporal Clinical Guidelines, chapter in C. Combi, G. Pozzi, P. Veltri (ed.), Process Modeling and Management for Healthcare, CRC Press, ISBN 9781138196650, pp. 217-250, October 2017.
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Luca Anselma, Luca Piovesan, and Paolo Terenziani, Temporal reasoning techniques for the analysis of interactions in the treatment of comorbid patients, in Proceedings of the Symposium on Applied Computing (SAC '17). ACM, New York, NY, USA, 971-976, 2017. doi: 10.1145/3019612.3019713
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Luca Anselma, Alessio Bottrighi, Arjen Hommersom, Paolo Terenziani, Anthony Hunter, Supporting physicians and patients through recommendation: Guidelines and beyond, chapter in A. Hommersom and P. Lucas (ed.), Foundations of Biomedical Knowledge Representation, LNCS volume 9521, pp. 281-286, Springer, 2015.
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Luca Anselma, Alessio Bottrighi, Laura Giordano, Arjen Hommersom, Gianpaolo Molino, Stefania Montani, Paolo Terenziani, Mauro Torchio, A Hybrid Approach to the Verification of Computer Interpretable Guidelines, chapter in A. Hommersom and P. Lucas (ed.), Foundations of Biomedical Knowledge Representation, LNCS volume 9521, pp. 287-315, Springer, 2015.
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Luca Anselma, Luca Piovesan, Abdul Sattar, Bela Stantic, Paolo Terenziani, A general approach to represent and query now-relative medical data in relational databases, 15th Conference on Artificial Intelligence in Medicine (AIME), LNAI 9105, pp. 328-332, 2015.
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Luca Anselma, Luca Piovesan, Paolo Terenziani, Temporal Detection of Guideline Interactions, Proceedings of the International Conference on Health Informatics (HEALTHINF-2015), pp. 40-50, Scitepress, Lisbon, 2015.
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Luca Anselma, Paolo Terenziani, Coping with temporal indeterminacy in medical data, 5th International Workshop on Knowledge Representation for Health Care (KR4HC), 2013.
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Luca Anselma, Stefania Montani, Planning: Supporting and Optimizing Clinical Guidelines Execution, chapter in A. Ten Teije, S. Miksch, P. Lucas (ed.), Computer-based medical guidelines and protocols: A primer and current trends, IOS Press, pp. 101-120, Amsterdam, 2008. [pdf of a preprint version]
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Luca Anselma, Paolo Terenziani, Stefania Montani and Alessio Bottrighi, Automatic Treatment of Temporal Issues in Clinical Guidelines in the GLARE System. In: Klaus A. Kuhn, James R. Warren, Tze-Yun Leong (eds). MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics - Building Sustainable Health Systems. (vol. 129, pp. 935-940). ISBN: 978-1-58603-774-1. AMSTERDAM: IOS Press (NETHERLANDS), 2007. [pdf]
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Paolo Terenziani, Luca Anselma, Alessio Bottrighi, Laura Giordano, Stefania Montani, Automatic Checking of the Correctness of Clinical Guidelines in GLARE. In: Klaus A. Kuhn, James R. Warren, Tze-Yun Leong (eds). MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics - Building Sustainable Health Systems. (vol. 129, pp. 807-811). ISBN: 978-1-58603-774-1. AMSTERDAM: IOS Press (NETHERLANDS), 2007.
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Alessio Bottrighi, Luca Anselma, Stefania Montani, Paolo Terenziani, Gianpaolo Molino, Mauro Torchio, Supporting cooperative updates of clinical guidelines, MEDINFO, 2007 (poster).
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Gianpaolo Molino, Luca Anselma, Alessio Bottrighi, Mauro Torchio, Stefania Montani, Paolo Terenziani, Advantages of computer-based approaches to clinical guidelines: the case of the GLARE approach, MEDINFO, 2007 (poster).
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Paolo Terenziani, Luca Anselma, Alessio Bottrighi and Stefania Montani, Advanced treatment of temporal phenomena in clinical guidelines, Proc. of American Medical Informatics Association AMIA 2006 Annual Symposium, p. 1117, 2006.
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P. Terenziani, L. Anselma, A. Bottrighi, G. Correndo, G. Molino, S. Montani, M. Torchio, Guideline adaptation to cultural/local contexts: towards a computer-assisted approach, Proc. of 3rd Annual Guidelines International Network (G-I-N) Conference, Lyon, France, 2005 (abstract).
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Paolo Terenziani, Stefania Montani, Alessio Bottrighi, Mauro Torchio, Gianpaolo Molino, Luca Anselma, and Gianluca Correndo, Applying Artificial Intelligence to clinical guidelines: the GLARE approach, Lecture Notes in Artificial Intelligence, 2829:536-547, © Springer-Verlag, 2003. [pdf of a preprint version]
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Paolo Terenziani, Stefania Montani, Mauro Torchio, Gianpaolo Molino, and Luca Anselma. Temporal Consistency Checking in Clinical Guidelines Acquisition and Execution: the GLARE's Approach. JAMIA, Special issue on the Fall AMIA Symposium, pp. 659-663, 2003. [pdf]
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Journals
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Food Computing
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Journals
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L. Anselma, A. Mazzei, Building a Persuasive Virtual Dietitian, Informatics, 7(3), 2020, doi: 10.3390/informatics7030027.
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L. Anselma, A. Mazzei, F. De Michieli, An artificial intelligence framework for compensating transgressions and its application to diet management, Journal of Biomedical Informatics, 68:58-70, April 2017, ISSN 1532-0464, doi: 10.1016/j.jbi.2017.02.015.
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Books and Conference Proceedings
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Elena Monfroglio, Luca Anselma, Alessandro Mazzei, Personalizing Weekly Diet Reports, Proceedings of the First Workshop on Natural Language Generation in Healthcare (NLG4Health), Association for Computational Linguistics, Waterville, Maine, USA, pp. 40-45, 2022. [pdf]
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Luca Anselma, Roberto Aringhieri, Carlo Barbano, Guido Boella, Luigi Di Caro, Marco Grangetto, Alessandro Mazzei, Daniele Perlo, Emilio Sulis, Lavinia Tagliabue, Enzo Tartaglione, AI for health and well-being: from biomedical images to healthcare process management passing by virtual dietitian, Proceedings of the Workshop Ital-IA 22 AI per la Medicina e la Salute, Roma, Italy, 2022.
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L. Anselma, M. Di Lascio, A. Lieto, A. Mazzei, Adopting the Mediterranean Diet Score in a diet management system, Proc. of the International Conference on Health Informatics (HEALTHINF-2020), 13th International Joint Conference on Biomedical Engineering Systems and Technologies, pp. 670-676, Scitepress, Valletta, Malta, 2020.
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Luca Anselma, Simone Donetti, Alessandro Mazzei, Andrea Pirone, CheckYourMeal!: diet management with NLG, Proc. of Workshop on Intelligent Interactive Systems and Language Generation (2IS&NLG 2018).
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Luca Anselma and Alessandro Mazzei, Designing and testing the messages produced by a virtual dietitian, Proc. of 11th International Conference on Natural Language Generation (INLG 2018), Association for Computational Linguistics, Tilburg University, The Netherlands, pp. 244-253, 2018. [pdf]
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Alessandro Mazzei, Luca Anselma, Andrea Pirone, Automatic reasoning evaluation in diet management based on an Italian cookbook, 4th International Workshop on Multimedia Assisted Dietary Management (CEA/MADiMa '18), in conjuction with the 27th International Joint Conference on Artificial Intelligence (IJCAI) and the 23rd European Conference on Artificial Intelligence (ECAI), Stockholm, Sweden, ACM, New York, NY, USA, 59-62. doi: 10.1145/3230519.3230595, 2018.
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L. Anselma, A. Mazzei, An approach for explaining reasoning on the diet domain, 1st Workshop on Natural Language for Artificial Intelligence (NL4AI), co-located with 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), Bari, Italy, November 16th to 17th, 2017, CEUR Workshop Proceedings, ISSN 1613-0073, vol. 1983:4-17, 2017.
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Luca Anselma, Alessandro Mazzei, Towards diet management with automatic reasoning and persuasive natural language generation, 17th Portuguese Conference on Artificial Intelligence, LNCS 9273, pp. 79-90, 2015.
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Alessandro Mazzei, Luca Anselma, Franco De Michieli, Andrea Bolioli, Matteo Casu, Jelle Gerbrandy and Ivan Lunardi, Mobile computing and artificial intelligence for diet management, 1st International Workshop on Multimedia Assisted Dietary Management, LNCS 9281, pp. 342-349, 2015.
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Luca Anselma, Alessandro Mazzei, Luca Piovesan, Franco De Michieli, Adopting STP for diet management, IEEE International Conference on Healthcare Informatics (ICHI), 2014.
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Journals
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Assistive Technologies
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Journals
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Pier Felice Balestrucci, Elisa Di Nuovo, Manuela Sanguinetti, Luca Anselma, Cristian Bernareggi, Alessandro Mazzei, An Educational Dialogue System for Visually Impaired People, IEEE Access, vol. 12, pp. 150502-150519, 2024, doi: 10.1109/ACCESS.2024.3479883.
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Muhammad Saad Amin, Syed Tahir Hussain Rizvi, Alessandro Mazzei, Luca Anselma, Designing Cost Effective Assistive Data Glove for Classification of American Sign Language using Neural Networks, Electronics, 12(8), 1904, 2023, doi: 10.3390/electronics12081904.
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Books and Conference Proceedings
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Michael Oliverio, Margherita Piroi, Daniele De Giorgi, Pier Felice Balestrucci, Carola Manolino, Alessandro Mazzei, Luca Anselma, Cristian Bernareggi, Marina Serio, Cristina Sabena, Tiziana Armano, Sandro Coriasco and Anna Capietto, NoVAGraphS: Towards an Accessible Educational-Oriented Dialogue System, Proc. of the 2nd International Workshop on Artificial Intelligence Systems in Education, International Conference of the Italian Association for Artificial Intelligence, Bolzano, Italy, 2024. [pdf]
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Elisa Di Nuovo, Manuela Sanguinetti, Pier Felice Balestrucci, Luca Anselma, Cristian Bernareggi, and Alessandro Mazzei, Educational Dialogue Systems for Visually Impaired Students: Introducing a Task-Oriented User-Agent Corpus, Proc. of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 5507-5519, Torino, Italy. ELRA and ICCL, 2024. [pdf]
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Pier Felice Balestrucci, Luca Anselma, Cristian Bernareggi and Alessandro Mazzei, Building a Spoken Dialogue System for Supporting Blind People in Accessing Mathematical Expressions, Proc. of the Ninth Italian Conference on Computational Linguistics, CLiC-it 2023, Venezia, Italy, CEUR-WS 3596, 2023. [pdf]
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Journals
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Model-Based Diagnosis
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Journals
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Gianluca Torta, Daniele Theseider Dupré and Luca Anselma,Exploiting abstractions in cost-sensitive abductive problem solving with observations and actions, AI Communications 27(3) (July 2014), 245-262.
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Books and Conference Proceedings
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Gianluca Torta, Daniele Theseider Dupré and Luca Anselma,Cost-sensitive Iterative Abductive Reasoning with Abstractions, 18th European Conference on Artificial Intelligence (ECAI2008), Patras, Greece, pp. 803-804, 2008. [pdf of a preprint version, poster]
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Gianluca Torta, Daniele Theseider Dupré and Luca Anselma, Hypothesis Discrimination with Abstractions based on Observation and Action Costs, The 19th International Workshop on Principles of Diagnosis (DX-08), Blue Mountains, Australia, pp. 189-196, 2008. [pdf]
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Journals
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Automatic Configuration
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Luca Anselma and Diego Magro, Configuration, Encyclopedia of Artificial Intelligence, 978-1-59904-849-9, pp. 396-403, Idea Group, 2008.
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Luca Anselma, Diego Magro, and Pietro Torasso, Automatically decomposing configuration problems, Lecture Notes in Artificial Intelligence, 2829:39-52, © Springer-Verlag, 2003. [pdf of a preprint version]
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Luca Anselma, Decomposition strategies to automatically solve configuration problems, AI*IA Notizie, 4:52-56, 2003. [pdf]
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Luca Anselma and Diego Magro, Dynamic problem decomposition in configuration, Proc. of Configuration Workshop, 18th International Joint Conference on Artificial Intelligence (IJCAI-03), Acapulco, Mexico, pp. 21-26, 2003. [pdf]
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Diego Magro, Pietro Torasso, and Luca Anselma, Problem decomposition in configuration, Proc. of Configuration Workshop, 15th European Conference on Artificial Intelligence (ECAI-02), Lyon, France, pp. 50-55, 2002. [pdf]
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Luca Anselma (supervisors prof. Pietro Torasso, dr. Diego Magro), Strategie di Decomposizione per la Risoluzione Automatica di Problemi di Configurazione (Decomposition Strategies for Automatically Decomposing Configuration Problems), Master's Thesis, Corso di Laurea in Informatica, Facoltà di Scienze MM.FF.NN., Università di Torino, 2002, awarded honourable mention for AI*IA (Italian Association for Artificial Intelligence) award for best master's thesis. [pdf (in Italian)]
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Artificial Intelligence for Computer Music
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Daniele P. Radicioni, Luca Anselma, and Vincenzo Lombardo, A segmentation-based prototype to compute string instruments fingering, Proc. of 1st Conference on Interdisciplinary Musicology (CIM04), Graz, Austria, 2004. [pdf]
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Daniele P. Radicioni, Luca Anselma, and Vincenzo Lombardo, An algorithm to compute fingering for string instruments, Proc. of 2nd National Congress of Associazione Italiana di Scienze Cognitive, Ivrea, Italy, 2004. [pdf of the extended abstract]
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Other
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L. Anselma, D. Cavagnino, How to tell the truth without knowing what you are talking about: George Boole and the Boolean algebra, P. de Gennaro (ed), La ricerca della verità, pp. 211-224, Trauben, 2010. [pdf]
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L. Anselma, D. Cavagnino, L. Seroglia, J. Spendel, Automatic transliteration and transcription using a spreadsheet: the case of Russian language into Italian language, P. de Gennaro (ed), Per le vie del mondo, pp. 139-153, Trauben, 2009. [pdf]
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