Genetic Programming Bibliography entries for Umberto Scafuri

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GP coauthors/coeditors: Ivanoe De Falco, Antonio Della Cioppa, Domenico Maisto, Ernesto Tarantino, A Giugliano, Tomas Koutny, Michal Krcma, Angelo Marcelli, Martin Ubl, 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, Anna Esparcia-Alcazar, 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 Umberto Scafuri

• 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

• 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

Genetic Programming Conference proceedings edited by Umberto Scafuri

• 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

Genetic Programming conference papers by Umberto Scafuri

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. 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