Genetic Programming Bibliography entries for Antonio Della Cioppa

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GP coauthors/coeditors: Antonio Borrelli, Ivanoe De Falco, Mario Nicodemi, G Trautteur, Federica Cavaliere, Angelo Marcelli, Antonio Parziale, Rosa Senatore, 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, Martin Ubl, Claudio De Stefano, F Matarazzo, Nicola Femia, Mario Migliaro, Michael O'Neill, Leonardo Vanneschi, Steven M Gustafson, Anna Esparcia-Alcazar, 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 Antonio Della Cioppa

1. A. Parziale and R. Senatore and A. Della Cioppa and A. Marcelli. Cartesian genetic programming for diagnosis of Parkinson disease through handwriting analysis: Performance vs. interpretability issues. Artificial Intelligence in Medicine, 111:101984, 2021. details

2. Rosa Senatore and Antonio Della Cioppa and Angelo Marcelli. Automatic Diagnosis of Neurodegenerative Diseases: An Evolutionary Approach for Facing the Interpretability Problem. Information, 10(30) 2019. Special Issue eHealth and Artificial Intelligence. details

3. 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

4. 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

5. 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

6. C. De Stefano and A. Della Cioppa and A. Marcelli. Character preclassification based on genetic programming. Pattern Recognition Letters, 23(12):1439-1448, 2002. details

7. 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 Antonio Della Cioppa

• Markus Wagner and Julia Handl and Ryan Urbanowicz and Kuber Karthik and Danilo Vasconcellos Vargas and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and John R. Woodward and Daniel R. Tauritz and Manuel Lopez-Ibanez and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Dejan Tusar and Stephane Doncieux and Joshua Auerbach and Richard Duro and Harold de Vladar and Jose Santos and Amarda Shehu and Mostafa Ellabaan and Stefan Wagner and Michael Affenzeller and Frank Neumann and Markus Wagner and Paul Kaufmann and Oliver Kramer and P. G. M. Baltus and Giovanni Iacca and M. N. Andraud and Vanessa Volz and Boris Naujoks and Frank Moore and Gunes Kayacik and Nur Zincir-Heywood and Anna I Esparcia-Alcazar and Westley Weimer and Justyna Petke and David R. White and William B. Langdon and Nadarajen Veerapen and Fabio Daolio and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Giovanni Squillero and Alberto Tonda and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and John McCall and Dirk Thierens and William La Cava and Randal Olson and Patryk Orzechowski and Ernesto Tarantino and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Nicolas Bredeche and Evert Haasdijk and Abraham Prieto and Heiko Hamann and Jared Moore and Anthony Clark and David Walker and Richard Everson and Jonathan Fieldsend and Bogdan Filipic and Alma Rahat and Handing Wang and Yaochu Jin editors, GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Berlin, Germany, ACM, 2017. details

• Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Anna Isabel Esparcia Alcazar and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino editors, Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008. Volume 4971 of Lecture Notes in Computer Science, Naples, Springer, 2008. details

Genetic Programming conference papers by Antonio Della Cioppa

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. Federica Cavaliere and Antonio Della Cioppa and Angelo Marcelli and Antonio Parziale and Rosa Senatore. Parkinson's Disease Diagnosis: Towards Grammar-based Explainable Artificial Intelligence. In Nicolas Montavont and Christos Douligeris editors, IEEE ISCC 2020: IEEE Symposium on Computers and Communications 2020, internet, 2020. EasyChair. details

4. Rosa Senatore and Antonio Della Cioppa and Angelo Marcelli. Automatic Diagnosis of Parkinson Disease through Handwriting Analysis: A Cartesian Genetic Programming Approach. In IEEE 32nd International Symposium on Computer-Based Medical Systems, CBMS 2019, pages 312-317, Cordoba, Spain, 2019. details

5. 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

6. 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

7. Nicola Femia and Mario Migliaro and Antonio Della Cioppa. A Genetic Programming approach to modeling power losses of Insulate Gate Bipolar Transistors. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 4705-4712, Vancouver, 2016. IEEE Press. 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. Claudio De Stefano and A. Della Cioppa and A. Marcelli and F. Matarazzo. Grouping Character Shapes by Means of Genetic Programming. In Visual Form 2001, 2001. Springer. details

17. 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

18. 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