Genetic Programming Bibliography entries for Andrea G B Tettamanzi

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GP coauthors/coeditors: Antonia Azzini, Stefania Baglioni, Celia da Costa Pereira, Dario Sorbello, Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund Burke, Paul Darwen, Dipankar Dasgupta, Dario Floreano, James A Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Dirk Thierens, Andrew M Tyrrell, Massimiliano Erba, Roberto Rossi, Valentino Liberali, Remi Felin, Pierre Monnin, Catherine Faron, Maarten Keijzer, Pierre Collet, Jano I van Hemert, Marco Tomassini, Evelyne Lutton, Julian F Miller, Conor Ryan, William B Langdon, Thu Huong Nguyen, Massimo Santini, Minh Duc Tran, Claudia d'Amato, Binh Thanh Nguyen,

Genetic Programming Articles by Andrea G B Tettamanzi

Genetic Programming Conference proceedings edited by Andrea G B Tettamanzi

  1. Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming. Volume 3447 of Lecture Notes in Computer Science, Lausanne, Switzerland, Springer, 2005. details

  2. Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part II. Volume 3103 of Lecture Notes in Computer Science, Seattle, WA, USA, Springer-Verlag, 2004. details

  3. Kalyanmoy Deb and Riccardo Poli and Wolfgang Banzhaf and Hans-Georg Beyer and Edmund Burke and Paul Darwen and Dipankar Dasgupta and Dario Floreano and James Foster and Mark Harman and Owen Holland and Pier Luca Lanzi and Lee Spector and Andrea Tettamanzi and Dirk Thierens and Andy Tyrrell editors, Genetic and Evolutionary Computation -- GECCO-2004, Part I. Volume 3102 of Lecture Notes in Computer Science, Seattle, WA, USA, Springer-Verlag, 2004. details

  4. James A. Foster and Evelyne Lutton and Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi editors, Genetic Programming, Proceedings of the 5th European Conference, EuroGP 2002. Volume 2278 of LNCS, Kinsale, Ireland, Springer-Verlag, 2002. details

  5. Julian Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon editors, Genetic Programming, Proceedings of EuroGP'2001. Volume 2038 of LNCS, Lake Como, Italy, Springer-Verlag, 2001. details

Genetic Programming conference papers by Andrea G B Tettamanzi

  1. Remi Felin and Pierre Monnin and Catherine Faron and Andrea G. B. Tettamanzi. An Algorithm Based on Grammatical Evolution for Discovering SHACL Constraints. In Mario Giacobini and Bing Xue and Luca Manzoni editors, EuroGP 2024: Proceedings of the 27th European Conference on Genetic Programming, volume 14631, pages 176-191, Aberystwyth, 2024. Springer. details

  2. Remi Felin and Andrea G. B. Tettamanzi. Using Grammar-Based Genetic Programming for Mining Subsumption Axioms Involving Complex Class Expressions. In Jing He and Rainer Unland and Eugene Santos, Jr. and Xiaohui Tao and Hemant Purohit and Willem-Jan van den Heuvel and John Yearwood and Jie Cao editors, WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14 - 17, 2021, pages 234-240, 2021. ACM. details

  3. Thu Huong Nguyen and Andrea G. B. Tettamanzi. A Multi-Objective Evolutionary Approach to Class Disjointness Axiom Discovery. In 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pages 275-282, 2020. details

  4. Thu Huong Nguyen and Andrea G. B. Tettamanzi. Grammatical Evolution to Mine OWL Disjointness Axioms Involving Complex Concept Expressions. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24405, internet, 2020. IEEE Press. details

  5. Thu Huong Nguyen and Andrea G. B. Tettamanzi. Using Grammar-Based Genetic Programming for Mining Disjointness Axioms Involving Complex Class Expressions. In Mehwish Alam and Tanya Braun and Bruno Yun editors, Ontologies and Concepts in Mind and Machine - 25th International Conference on Conceptual Structures, ICCS 2020, Bolzano, Italy, September 18-20, 2020, Proceedings, volume 12277, pages 18-32, 2020. Springer. details

  6. Thu Huong Nguyen and Andrea G. B. Tettamanzi. An Evolutionary Approach to Class Disjointness Axiom Discovery. In IEEE/WIC/ACM International Conference on Web Intelligence, pages 68-75, Thessaloniki, Greece, 2019. Association for Computing Machinery. details

  7. Thu Huong Nguyen and Andrea G. B. Tettamanzi. Learning Class Disjointness Axioms Using Grammatical Evolution. In Lukas Sekanina and Ting Hu and Nuno Lourenco editors, EuroGP 2019: Proceedings of the 22nd European Conference on Genetic Programming, volume 11451, pages 278-294, Leipzig, Germany, 2019. Springer Verlag. details

  8. Minh Duc Tran and Claudia d'Amato and Binh Thanh Nguyen and Andrea G. B. Tettamanzi. Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-Relational Association Rules in the Semantic Web. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 289-305, Parma, Italy, 2018. Springer Verlag. details

  9. Massimo Santini and Andrea Tettamanzi. Genetic Programming for Financial Time Series Prediction. In Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon editors, Genetic Programming, Proceedings of EuroGP'2001, volume 2038, pages 361-370, Lake Como, Italy, 2001. Springer-Verlag. details

  10. Roberto Rossi and Valentino Liberali and Andrea G. B. Tettamanzi. An Application of Genetic Programming to Electronic Design Automation: from Frequency Specifications to VHDL Code. In Rajkumar Roy and Mario K\"oppen and Seppo Ovaska and Takeshi Furuhashi and Frank Hoffmann editors, Soft Computing and Industry Recent Applications, pages 809-820, 2001. Springer-Verlag. Published 2002. details

  11. Massimiliano Erba and Roberto Rossi and Valentino Liberali and Andrea Tettamanzi. An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters. In Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon editors, Genetic Programming, Proceedings of EuroGP'2001, volume 2038, pages 36-50, Lake Como, Italy, 2001. Springer-Verlag. details

  12. Stefania Baglioni and Celia da Costa Pereira and Dario Sorbello and Andrea G. B. Tettamanzi. An Evolutionary Approach to Multiperiod Asset Allocation. In Riccardo Poli and Wolfgang Banzhaf and William B. Langdon and Julian F. Miller and Peter Nordin and Terence C. Fogarty editors, Genetic Programming, Proceedings of EuroGP'2000, volume 1802, pages 225-236, Edinburgh, 2000. Springer-Verlag. details

  13. Andrea G. B. Tettamanzi. Genetic Programming without Fitness. In John R. Koza editor, Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, pages 193-195, Stanford University, CA, USA, 1996. Stanford Bookstore. details