Leonardo Vanneschi
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20092023

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  • 2022

    A preliminary study of prediction interval methods with genetic programming

    Rebuli, K. B., Giacobini, M., Tallone, N. & Vanneschi, L., 19 Jul 2022, GECCO’22 Companion : Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM), p. 530-533 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Fighting Over-Indebtedness: An Artificial Intelligence Approach: An Abstract

    Ferreira, M., Pinto, D. C., Herter, M. M., Soro, J., Vanneschi, L., Castelli, M. & Peres, F., 5 Apr 2022, From Micro to Macro: Dealing with Uncertainties in the Global Marketplace: Proceedings of the 2020 Academy of Marketing Science (AMS) Annual Conference. Pantoja, F. & Wu, S. (eds.). Springer Nature, p. 579-580 1 p. (Developments in Marketing Science: Proceedings of the Academy of Marketing Scienc).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Genetic programming for structural similarity design at multiple spatial scales

    Bakurov, I., Buzzelli, M., Castelli, M., Schettini, R. & Vanneschi, L., 1 Jul 2022, GECCO ’22. Proceedings of the 2022 Genetic and Evolutionary Computation Conference. Fieldsend, J. E. (ed.). New York: Association for Computing Machinery (ACM), p. 911-919 9 p. (GECCO 2022 - Proceedings of the 2022 Genetic and Evolutionary Computation Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    12 Downloads (Pure)
  • Reducing the Number of Training Cases in Genetic Programming

    Zoppi, G., Vanneschi, L. & Giacobini, M., 18 Jul 2022, 2022 IEEE Congress on Evolutionary Computation: CEC 2022 - Conference Proceedings. IEEE, p. 1-8 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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  • SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming

    Rodrigues, N. M., Batista, J. E., La Cava, W., Vanneschi, L. & Silva, S., 13 Apr 2022, Genetic Programming: 25th European Conference, EuroGP 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings. Medvet, E., Pappa, G. & Xue, B. (eds.). Springer, p. 68-84 17 p. (Lecture Notes in Computer Science; vol. 13223).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    1 Citation (Scopus)
    8 Downloads (Pure)
  • Vectorial GP for Alzheimer’s Disease Prediction Through Handwriting Analysis

    Azzali, I., Cilia, N. D., De Stefano, C., Fontanella, F., Giacobini, M. & Vanneschi, L., 15 Apr 2022, Applications of Evolutionary Computation: 25th European Conference, EvoApplications 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings. Jiménez LaredoJ, J. L., Hidalgo, J. I. & Babaagba, K. O. (eds.). Springer, p. 517-530 14 p. (Lecture Notes in Computer Science; vol. 13224).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 2021

    Progressive Insular Cooperative GP

    Brotto Rebuli, K. & Vanneschi, L., 25 Mar 2021, Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings. Hu, T., Lourenço, N. & Medvet, E. (eds.). Springer Science and Business Media Deutschland GmbH, p. 19-35 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12691 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    8 Downloads (Pure)
  • The Impact of Self-Regulation on Over-Indebtedness Amid the Pandemic

    El Fassi, Y., Pinto, D. C. & Vanneschi, L., 1 Jun 2021, Proceedings of the European Marketing Academy, 50th. European Marketing Academy (EMAC), p. 1-2 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    7 Downloads (Pure)
  • Tourism in Times of Scarcity: Traveling During the Pandemic (Abstract)

    Castagna, A., El Fassi, Y., Pinto, D. C., Mattila, A. & Vanneschi, L., 1 Jun 2021, Proceedings of the European Marketing Academy, 50th. European Marketing Academy (EMAC), p. 1-2 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    2 Downloads (Pure)
  • 2020

    A GP approach for precision farming

    Abbona, F., Vanneschi, L., Bona, M. & Giacobini, M., Jul 2020, 2020 IEEE Congress on Evolutionary Computation, CEC : 2020 Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-8 8 p. 9185637. (2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    2 Citations (Scopus)
    2 Downloads (Pure)
  • A Greedy Iterative Layered Framework for Training Feed Forward Neural Networks

    Custode, L. L., Tecce, C. L., Bakurov, I., Castelli, M., Cioppa, A. D. & Vanneschi, L., 9 Apr 2020, Applications of Evolutionary Computation - 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Proceedings. Castillo, P. A., Jiménez Laredo, J. L. & Fernández de Vega, F. (eds.). Springer, p. 513-529 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12104 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    8 Downloads (Pure)
  • A Study of Fitness Landscapes for Neuroevolution

    Rodrigues, N. M., Silva, S. & Vanneschi, L., Jul 2020, 2020 IEEE Congress on Evolutionary Computation, CEC 2020: Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 9185783. (2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    File
    7 Citations (Scopus)
    27 Downloads (Pure)
  • Investigating the Use of Geometric Semantic Operators in Vectorial Genetic Programming

    Azzali, I., Vanneschi, L. & Giacobini, M., 1 Jan 2020, Genetic Programming - 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Proceedings. Hu, T., Lourenço, N., Medvet, E. & Divina, F. (eds.). Springer, p. 52-67 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12101 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    2 Downloads (Pure)
  • Is k Nearest Neighbours Regression Better Than GP?

    Vanneschi, L., Castelli, M., Manzoni, L., Silva, S. & Trujillo, L., 9 Apr 2020, Genetic Programming - 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Proceedings. Hu, T., Lourenço, N., Medvet, E. & Divina, F. (eds.). Springer, p. 244-261 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12101 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    1 Citation (Scopus)
  • Parameters optimization of the Structural Similarity Index

    Bakurov, I., Buzzelli, M., Castelli, M., Schettini, R. & Vanneschi, L., 29 Sep 2020, London Imaging Meeting 2020: Future Colour Imaging. 1 ed. Vol. 2020. p. 19-23 (London Imaging Meeting).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    56 Downloads (Pure)
  • Regularization techniques in radiomics: A case study on the prediction of pCR in breast tumours and the axilla

    Carrasquinha, E., Santinha, J., Mongolin, A., Lisitskiya, M., Ribeiro, J., Cardoso, F., Matos, C., Vanneschi, L. & Papanikolaou, N., 10 Dec 2020, Computational Intelligence Methods for Bioinformatics and Biostatistics: 16th International Meeting, CIBB 2019, Revised Selected Papers. Cazzaniga, P., Besozzi, D., Merelli, I. & Manzoni, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 271-281 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12313 LNBI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    3 Downloads (Pure)
  • Unlabeled multi-target regression with genetic programming

    Lopez, U., Trujillo, L., Silva, S., Vanneschi, L. & Legrand, P., 25 Jun 2020, GECCO 2020: Proceedings of the 2020 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 976-984 9 p. (GECCO 2020 - Proceedings of the 2020 Genetic and Evolutionary Computation Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    1 Citation (Scopus)
    1 Downloads (Pure)
  • 2019

    A regression-like classification system for geometric semantic genetic programming

    Bakurov, I., Castelli, M., Fontanella, F. & Vanneschi, L., 1 Jan 2019, Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019). Merelo, J. J., Garibaldi, J., Linares-Barranco, A., Madani, K., Warwick, K. & Warwick, K. (eds.). SciTePress - Science and Technology Publications, Vol. 1. p. 40-48 9 p. (IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    1 Citation (Scopus)
    15 Downloads (Pure)
  • A Vectorial Approach to Genetic Programming

    Azzali, I., Vanneschi, L., Silva, S., Bakurov, I. & Giacobini, M., 1 Jan 2019, Genetic Programming: 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Proceedings. Lourenço, N., Hu, T., Richter, H., Sekanina, L. & García-Sánchez, P. (eds.). Switzerland: Springer Verlag, p. 213-227 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11451 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)
  • Supporting medical decisions for treating rare diseases through genetic programming

    Bakurov, I., Castelli, M., Vanneschi, L. & Freitas, M. J., 1 Jan 2019, Applications of Evolutionary Computation: 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Proceedings. Kaufmann, P. & Castillo, P. A. (eds.). Springer Verlag, p. 187-203 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11454 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    3 Citations (Scopus)
    19 Downloads (Pure)
  • Universal learning machine with genetic programming

    Re, A., Vanneschi, L. & Castelli, M., 1 Jan 2019, Proceedings of the 11th International Joint Conference on Computational Intelligence. Merelo, J. J., Garibaldi, J., Linares-Barranco, A., Madani, K., Warwick, K. & Warwick, K. (eds.). Viena: SciTePress - Science and Technology Publications, Vol. 1. p. 115-122 8 p. (IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    39 Downloads (Pure)
  • 2018

    A multidimensional genetic programming approach for identifying epsistatic gene interactions

    Cava, W. L., Spector, L., Silva, S., Vanneschi, L., Danai, K. & Moore, J. H., 6 Jul 2018, GECCO 2018 Companion: Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 23-24 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
  • A multiple expression alignment framework for genetic programming

    Vanneschi, L., Scott, K. & Castelli, M., 1 Jan 2018, Genetic Programming: 21st European Conference, EuroGP 2018, Proceedings. Castelli, M., Sekanina, L., Zhang, M., Cagnoni, S. & García-Sánchez, P. (eds.). Springer Verlag, Vol. 10781 LNCS. p. 166-183 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10781 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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  • EDDA-V2: an improvement of the evolutionary demes despeciation algorithm

    Bakurov, I., Vanneschi, L., Castelli, M. & Fontanella, F., 1 Jan 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer Verlag, p. 185-196 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11101 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    4 Citations (Scopus)
    50 Downloads (Pure)
  • Evolving PSO algorithm design in vector fields using geometric semantic GP

    Bartashevich, P., Mostaghim, S., Bakurov, I. & Vanneschi, L., 6 Jul 2018, GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 262-263 2 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    6 Citations (Scopus)
    6 Downloads (Pure)
  • Pruning techniques for mixed ensembles of genetic programming models

    Castelli, M., Gonçalves, I., Manzoni, L. & Vanneschi, L., 1 Jan 2018, Genetic Programming : 21st European Conference, EuroGP 2018, Proceedings. Castelli, M., Sekanina, L., Zhang, M., Cagnoni, S. & García-Sánchez, P. (eds.). Springer Verlag, p. 52-67 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10781 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    3 Citations (Scopus)
  • PSO-based search rules for aerial swarms against unexplored vector fields via genetic programming

    Bartashevich, P., Bakurov, I., Mostaghim, S. & Vanneschi, L., 1 Jan 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer Verlag, p. 41-53 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11101 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
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    4 Citations (Scopus)
    1 Downloads (Pure)
  • 2017

    An initialization technique for geometric semantic GP based on demes evolution and despeciation

    Vanneschi, L., Bakurov, I. & Castelli, M., 5 Jul 2017, 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 113-120 8 p. 7969303

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Citations (Scopus)
  • An introduction to geometric semantic genetic programming

    Vanneschi, L., 2017, NEO 2015 : Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. Schütze, O., Trujillo, L., Legrand, P. & Maldonado, Y. (eds.). Vol. 663. p. 3-42 40 p. (Studies in Computational Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    23 Citations (Scopus)
  • A parallel and distributed semantic genetic programming system

    Vanneschi, L. & Galvao, B., 5 Jul 2017, 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 121-128 8 p. 7969304

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
  • Genetic programming representations for multi-dimensional feature learning in biomedical classification

    La Cava, W., Vanneschi, L., Spector, L., Moore, J. & Silva, S., 2017, Applications of Evolutionary Computation - 20th European Conference, EvoApplications 2017, Proceedings. Springer-Verlag, Vol. 10199 LNCS. p. 158-173 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10199 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Citations (Scopus)
  • Geometric semantic genetic programming for biomedical applications: A state of the art upgrade

    Vanneschi, L., Castelli, M., Goncalves, I., Manzoni, L. & Silva, S., 5 Jul 2017, 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 177-184 8 p. 7969311

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)
  • PSXO: Population-wide semantic crossover

    Vanneschi, L., Castelli, M., Moraglio, A., Manzoni, L., Silva, S., Krawiec, K. & Gonçalves, I., 15 Jul 2017, GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 257-258 2 p. (GECCO 2017 - Proceedings of the Genetic and Evolutionary Computation Conference Companion; vol. 2017-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)
  • Towards the development of a complete GP system on an FPGA using geometric semantic operators

    Goribar-Jimenez, C., Maldonado, Y., Trujillo, L., Castelli, M., Goncalves, I. & Vanneschi, L., 5 Jul 2017, 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1932-1939 8 p. 7969537

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
  • 2016

    A comparison between representations for evolving images

    Re, A., Castelli, M. & Vanneschi, L., 2016, Evolutionary and Biologically Inspired Music, Sound, Art and Design - 5th International Conference, EvoMUSART 2016, Proceedings. Springer-Verlag, Vol. 9596. p. 163-185 23 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9596).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)
  • An analysis of geometric semantic crossover: A computational geometry approach

    Castelli, M., Manzoni, L., Gonçalves, I., Vanneschi, L., Trujillo, L. & Silva, S., 2016, ECTA 2016 - 8th International Conference on Evolutionary Computation Theory and Applications. SciTePress - Science and Technology Publications, Vol. 1. p. 201-208 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)
  • 2015

    Electricity demand modelling with genetic programming

    Castelli, M., De Felice, M., Manzoni, L. & Vanneschi, L., 2015, Progress in Artificial Intelligence - 17th Portuguese Conference on Artificial Intelligence, EPIA 2015, Proceedings. Springer-Verlag, Vol. 9273. p. 213-225 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9273).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Geometric semantic genetic programming with local search

    Castelli, M., Silva, S., Trujillo, L., Z-Flores, E., Vanneschi, L. & Legrand, P., 11 Jul 2015, GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, Inc, p. 999-1006 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    35 Citations (Scopus)
  • Improving maritime awareness with semantic genetic programming and linear scaling: Prediction of vessels position based on AIS data

    Vanneschi, L., Castelli, M., Costa, E., Re, A., Vaz, H., Lobo, V. & Urbano, P., 2015, Applications of Evolutionary Computation - 18th European Conference, EvoApplications 2015, Proceedings. Springer-Verlag, Vol. 9028. p. 732-744 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9028).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    10 Citations (Scopus)
  • 2014

    A hybrid Harmony search algorithm with variable neighbourhood search for the bin-packing problem

    Castelli, M. & Vanneschi, L., 12 Oct 2014, 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014. Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. 6921849. (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • A multi-dimensional genetic programming approach for multi-class classification problems

    Ingalalli, V., Silva, S., Castelli, M. & Vanneschi, L., 1 Jan 2014, Genetic Programming - 17th European Conference, EuroGP 2014, Revised Selected Papers. García-Sánchez, P., Merelo, J. J., Rivas Santos, V. M., Nicolau, M., Krawiec, K., Heywood, M. I., Castelli, M. & Sim, K. (eds.). Springer Verlag, p. 48-60 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8599).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    24 Citations (Scopus)
  • ESAGP – A semantic GP framework based on alignment in the error space

    Ruberto, S., Vanneschi, L., Castelli, M. & Silva, S., 1 Jan 2014, Genetic Programming - 17th European Conference, EuroGP 2014, Revised Selected Papers. García-Sánchez, P., Merelo, J. J., Rivas Santos, V. M., Nicolau, M., Krawiec, K., Heywood, M. I., Castelli, M. & Sim, K. (eds.). Springer Verlag, p. 150-161 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8599).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    22 Citations (Scopus)
  • 2013

    An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics

    Castelli, M., Castaldi, D., Giordani, I., Silva, S., Vanneschi, L., Archetti, F. & Maccagnola, D., 3 Oct 2013, Progress in Artificial Intelligence - 16th Portuguese Conference on Artificial Intelligence, EPIA 2013, Proceedings. p. 78-89 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8154 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    22 Citations (Scopus)
  • An efficient implementation of geometric semantic genetic programming for anticoagulation level prediction in pharmacogenetics

    Castelli, M., Castaldi, D., Vanneschi, L., Giordani, I., Archetti, F. & Maccagnola, D., 26 Aug 2013, GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion. p. 137-138 2 p. (GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • A new implementation of geometric semantic GP and its application to problems in pharmacokinetics

    Vanneschi, L., Castelli, M., Manzoni, L. & Silva, S., 22 Mar 2013, Genetic Programming - 16th European Conference, EuroGP 2013, Proceedings. p. 205-216 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7831 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    88 Citations (Scopus)
  • Land cover/land use multiclass classification using GP with geometric semantic operators

    Castelli, M., Silva, S., Vanneschi, L., Cabral, A., Vasconcelos, M. J., Catarino, L. & Carreiras, J. M. B., 5 Apr 2013, Applications of Evolutionary Computation - 16th European Conference, EvoApplications 2013, Proceedings. p. 334-343 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7835 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Citations (Scopus)
  • Prediction of forest aboveground biomass: An exercise on avoiding overfitting

    Silva, S., Ingalalli, V., Vinga, S., Carreiras, J. M. B., Melo, J. B., Castelli, M., Vanneschi, L., Gonçalves, I. & Caldas, J., 5 Apr 2013, Applications of Evolutionary Computation - 16th European Conference, EvoApplications 2013, Proceedings. p. 407-417 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7835 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Citations (Scopus)
  • 2012

    Evolutionary reaction systems

    Manzoni, L., Castelli, M. & Vanneschi, L., 3 Apr 2012, Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 10th European Conference, EvoBIO 2012, Proceedings. p. 13-25 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7246 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)
  • GeNet: A graph-based genetic programming framework for the reverse engineering of gene regulatory networks

    Vanneschi, L., Mondini, M., Bertoni, M., Ronchi, A. & Stefano, M., 2012, Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 10th European Conference, EvoBIO 2012, Proceedings. p. 97-109 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7246 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)
  • Genetic programming needs better benchmarks

    McDermott, J., White, D. R., Luke, S., Manzoni, L., Castelli, M., Vanneschi, L., Jaśkowski, W., Krawiec, K., Harper, R., De Jong, K. & O'Reilly, U. M., 13 Aug 2012, GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation. p. 791-798 8 p. (GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    204 Citations (Scopus)
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