Genetic Programming Bibliography entries for Weixuan Fu

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GP coauthors/coeditors: Trang T Le, Jason H Moore, Elisabetta Manduchi, Joseph D Romano, Stefano Ruberto, Randal S Olson, Moshe Sipper, William La Cava, Sharon Tartarone, Steven Vitale, Patryk Orzechowski, Ryan J Urbanowicz, John H Holmes, Karuna Ahuja,

Genetic Programming Articles by Weixuan Fu

1. Elisabetta Manduchi and Trang Le and Weixuan Fu and Jason H Moore. Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection. IEEE/ACM transactions on computational biology and bioinformatics, 19(3):1379-1386, 2022. details

2. Joseph D. Romano and Trang T. Le and Weixuan Fu and Jason H. Moore. TPOT-NN: augmenting tree‑based automated machine learning with neural network estimators. Genetic Programming and Evolvable Machines, 22(2):207-227, 2021. details

3. Trang T. Le and Weixuan Fu and Jason H. Moore. Scaling tree-based automated machine learning to biomedical big data with a feature set selector. Bioinformatics, 36(1):250-256, 2020. details

4. Elisabetta Manduchi and Weixuan Fu and Joseph D. Romano and Stefano Ruberto and Jason H. Moore. Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. BMC Bioinformatics, 21:Article number: 430, 2020. details

5. Moshe Sipper and Weixuan Fu and Karuna Ahuja and Jason H. Moore. Investigating the parameter space of evolutionary algorithms. BioData Mining, 11(1) 2018. details

Genetic Programming conference papers by Weixuan Fu

• Trang T. Le and Weixuan Fu and Jason H. Moore. Large Scale Biomedical Data Analysis with Tree-Based Automated Machine Learning. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino 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 Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 21-22, internet, 2020. Association for Computing Machinery. details

• 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

Genetic Programming other entries for Weixuan Fu

• Moshe Sipper and Weixuan Fu and Karuna Ahuja and Jason H. Moore. From MEGATON to RASCAL: Surfing the Parameter Space of Evolutionary Algorithms. 2017. details