Genetic Programming Bibliography entries for Ivanoe De Falco

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GP coauthors/coeditors: Antonio Borrelli, Antonio Della Cioppa, Mario Nicodemi, G Trautteur, M Conte, Giuseppe Tautteur, Ernesto Tarantino, A Iazzetta, Francesco R Fontanella, F Gagliardi, A Passaro, Domenico Maisto, Umberto Scafuri, A Giugliano, Tomas Koutny, Michal Krcma, Angelo Marcelli, Martin Ubl, Michael O'Neill, Leonardo Vanneschi, Steven M Gustafson, Anna Esparcia-Alcazar, Giovanna Sannino, Giuseppe De Pietro, Alberto Moraglio, Marc Ebner, Markus Wagner, Julia Handl, Ryan J Urbanowicz, Kuber Karthik, Danilo Vasconcellos Vargas, Silvino Fernandez Alzueta, Pablo Valledor Pellicer, Thomas Stuetzle, John R Woodward, Daniel R Tauritz, Manuel Lopez-Ibanez, Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Tea Tusar, Dejan Tusar, Stephane Doncieux, Joshua E Auerbach, Richard Duro, Harold de Vladar, Jose Santos Reyes, Amarda Shehu, Mostafa M Hashim Ellabaan, Stefan Wagner, Michael Affenzeller, Frank Neumann, Paul Kaufmann, Oliver Kramer, P G M Baltus, Giovanni Iacca, M N Andraud, Vanessa Volz, Boris Naujoks, Frank Moore, Gunes Kayacik, Nur Zincir-Heywood, Westley Weimer, Justyna Petke, David Robert White, William B Langdon, Nadarajen Veerapen, Fabio Daolio, Arnaud Liefooghe, Sebastien Verel, Gabriela Ochoa, Giovanni Squillero, Alberto Tonda, Stephen L Smith, Stefano Cagnoni, Robert M Patton, John A W McCall, Dirk Thierens, William La Cava, Randal Olson, Patryk Orzechowski, Nicolas Bredeche, Evert Haasdijk, Abraham Prieto, Heiko Hamann, Jared Moore, Anthony Clark, David Walker, Richard Everson, Jonathan E Fieldsend, Bogdan Filipic, Alma Rahat, Handing Wang, Yaochu Jin,

Genetic Programming Articles by Ivanoe De Falco

  1. Giovanna Sannino and Ivanoe De Falco and Giuseppe De Pietro. A Continuous Noninvasive Arterial Pressure (CNAP) Approach for Health 4.0 Systems. IEEE Transactions on Industrial Informatics, 15(1):498-506, 2019. details

  2. I. De Falco and A. Della Cioppa and A. Giugliano and A. Marcelli and Tomas Koutny and Michal Krcma and Umberto Scafuri and E. Tarantino. A genetic programming-based regression for extrapolating a blood glucose-dynamics model from interstitial glucose measurements and their first derivatives. Applied Soft Computing, 77:316-328, 2019. details

  3. Ivanoe De Falco and Antonio Della Cioppa and Tomas Koutny and Michal Krcma and Umberto Scafuri and Ernesto Tarantino. Genetic Programming-based induction of a glucose-dynamics model for telemedicine. Journal of Network and Computer Applications, 119:1-13, 2018. details

  4. A. Borrelli and I. De Falco and A. Della Cioppa and M. Nicodemi and G. Trautteur. Performance of genetic programming to extract the trend in noisy data series. Physica A: Statistical and Theoretical Physics, 370(1):104-108, 2006. Econophysics Colloquium - Proceedings of the International Conference "Econophysics Colloquium". details

  5. I. De Falco and A. Della Cioppa and E. Tarantino. Discovering interesting classification rules with genetic programming. Applied Soft Computing, 1(4):257-269, 2001. details

Genetic Programming Conference proceedings edited by Ivanoe De Falco

Genetic Programming conference papers by Ivanoe De Falco

  1. I. De Falco and Antonio Della Cioppa and Tomas Koutny and Umberto Scafuri and Ernesto Tarantino and Martin Ubl. Grammatical Evolution-Based Approach for Extracting Interpretable Glucose-Dynamics Models. In 2021 IEEE Symposium on Computers and Communications (ISCC), Athens, Greece, 2021. IEEE. details

  2. Ivanoe De Falco and Umberto Scafuri and Ernesto Tarantino and Antonio Della Cioppa and Tomas Koutny and Michal Krcma. A Grammatical Evolution Approach for Estimating Blood Glucose Levels. In 2020 IEEE Globecom Workshops (GC Wkshps), Taipei, Taiwan, 2020. IEEE. details

  3. I. De Falco and U. Scafuri and E. Tarantino and A. Della Cioppa and A. Giugliano and Tomas Koutny and Michal Krcma. An evolutionary methodology for estimating blood glucose levels from interstitial glucose measurements and their derivatives. In 2018 IEEE Symposium on Computers and Communications (ISCC), pages 01158-01163, 2018. details

  4. Ivanoe De Falco and Umberto Scafuri and Ernesto Tarantino and Antonio Della Cioppa. Accurate estimate of Blood Glucose through Interstitial Glucose by Genetic Programming. In 2017 IEEE Symposium on Computers and Communications (ISCC), pages 284-289, 2017. details

  5. Giovanna Sannino and Ivanoe De Falco and Giuseppe De Pietro. Easy fall risk assessment by estimating the Mini-BES test score. In 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), Munich, Germany, 2016. details

  6. Giovanna Sannino and Ivanoe De Falco and Giuseppe De Pietro. Genetic Programming for a Wearable Approach to Estimate Blood Pressure Embedded in a Mobile-Based Health System. In 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pages 775-783, 2015. details

  7. Giovanna Sannino and Ivanoe De Falco and Giuseppe De Pietro. Indirect Blood Pressure Evaluation by Means of Genetic Programming. In Alberto Cliquet Jr. and Ana L. N. Fred and Hugo Gamboa and Dirk Elias editors, 8th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2015, pages 75-92, Lisbon, Portugal, 2015. Springer/SciTePress. Revised Selected Papers. details

  8. Ivanoe De Falco and Antonio Della Cioppa and Domenico Maisto and Umberto Scafuri and Ernesto Tarantino. Parsimony doesn't mean Simplicity: Genetic Programming for Inductive Inference on Noisy Data. In Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar editors, Proceedings of the 10th European Conference on Genetic Programming, volume 4445, pages 351-360, Valencia, Spain, 2007. Springer. details

  9. Ivanoe De Falco and Antonio Della Cioppa and Domenico Maisto and Ernesto Tarantino. A Genetic Programming Approach to Solomonoff's Probabilistic Induction. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 24-35, Budapest, Hungary, 2006. Springer. details

  10. Ivan De Falco and Antonio Della Cioppa and A. Passaro and Ernesto Tarantino. Genetic Programming for Inductive Inference of Chaotic Series. In Isabelle Bloch and Alfredo Petrosino and Andrea Tettamanzi editors, Fuzzy Logic and Applications, 6th International Workshop, WILF 2005, Revised Selected Papers, volume 3849, pages 156-163, Crema, Italy, 2005. Springer. details

  11. Ivan De Falco and Ernesto Tarantino and Antonio Della Cioppa and A. Passaro. Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach. In Hisham Haddad and Lorie M. Liebrock and Andrea Omicini and Roger L. Wainwright editors, Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), pages 957-958, Santa Fe, New Mexico, USA, 2005. ACM. details

  12. Ivan De Falco and Ernesto Tarantino and Antonio Della Cioppa and F. Gagliardi. A novel grammar-based genetic programming approach to clustering. In Hisham Haddad and Lorie M. Liebrock and Andrea Omicini and Roger L. Wainwright editors, Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), pages 928-932, Santa Fe, New Mexico, USA, 2005. ACM. details

  13. I. De Falco and A. Della Cioppa and E. Tarantino. A Genetic Programming System for Time Series Prediction and Its Application to El Nino Forecast. In Soft Computing: Methodologies and Applications, 2005. Springer. details

  14. I. De Falco and E. Tarantino and A. Della Cioppa and F. Fontanella. An Innovative Approach to Genetic Programming-based Clustering. In Ajith Abraham and Bernard de Baets and Mario Koeppen and Bertram Nickolay editors, 9th Online World Conference on Soft Computing in Industrial Applications, volume 34, pages 55-64, On the World Wide Web, 2004. Springer-Verlag. details

  15. Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino. Unsupervised Spectral Pattern Recognition for Multispectral Images by means of a Genetic Programming approach. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 231-236, 2002. IEEE Press. details

  16. I. De Falco and A. Iazzetta and E. Tarantino and A. Della Cioppa and G. Trautteur. A Kolmogorov Complexity-based Genetic Programming tool for string compression. In Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), pages 427-434, Las Vegas, Nevada, USA, 2000. Morgan Kaufmann. details

  17. M. Conte and G. Tautteur and I. De Falco and A. Della Cioppa and E. Tarantino. Genetic Programming Estimates of Kolmogorov Complexity. In Thomas Back editor, Genetic Algorithms: Proceedings of the Seventh International Conference, pages 743-750, Michigan State University, East Lansing, MI, USA, 1997. Morgan Kaufmann. details