Genetic Programming Bibliography entries for Patryk Orzechowski

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GP coauthors/coeditors: William La Cava, Bogdan Burlacu, Fabricio Olivetti de Franca, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H Moore, Randal S Olson, Moshe Sipper, Sharon Tartarone, Steven Vitale, Weixuan Fu, Ryan J Urbanowicz, John H Holmes, Alena Orlenko, Junmei Cairns, Pedro J Caraballo, Richard M Weinshilboum, Liewei Wang, Matthew K Breitenstein, Franciszek Magiera, Markus Wagner, Julia Handl, 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, 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, Randal Olson, Ernesto Tarantino, Ivanoe De Falco, Antonio Della Cioppa, Umberto Scafuri, 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 Conference proceedings edited by Patryk Orzechowski

Genetic Programming conference papers by Patryk Orzechowski

  1. William La Cava and Patryk Orzechowski and Bogdan Burlacu and Fabricio de Franca and Marco Virgolin and Ying Jin and Michael Kommenda and Jason Moore. Contemporary Symbolic Regression Methods and their Relative Performance. In J. Vanschoren and S. Yeung editors, Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, volume 1, 2021. details

  2. Patryk Orzechowski and Franciszek Magiera and Jason Moore. Benchmarking manifold learning methods on a large collection of datasets. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 135-150, Seville, Spain, 2020. Springer Verlag. details

  3. Patryk Orzechowski and Jason H. Moore. EBIC: a scalable biclustering method for large scale data analysis. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 31-32, Prague, Czech Republic, 2019. ACM. details

  4. Alena Orlenko and Jason H. Moore and Patryk Orzechowski and Randal S. Olson and Junmei Cairns and Pedro J. Caraballo and Richard M. Weinshilboum and Liewei Wang and Matthew K. Breitenstein. Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. In Russ B. Altman and A. Keith Dunker and Lawrence Hunter and Marylyn D. Ritchie and Tiffany Murray and Teri E. Klein editors, Pacific Symposium on Biocomputing, pages 460-471, Hawaii, USA, 2018. World Scientific. details

  5. Randal S. Olson and Moshe Sipper and William La Cava and Sharon Tartarone and Steven Vitale and Weixuan Fu and Patryk Orzechowski and Ryan J. Urbanowicz and John H. Holmes and Jason H. Moore. A System for Accessible Artificial Intelligence. In Wolfgang Banzhaf and Randal S. Olson and William Tozier and Rick Riolo editors, Genetic Programming Theory and Practice XV, pages 121-134, University of Michigan in Ann Arbor, USA, 2017. Springer. details