Items where Author is "Chen, Jie"

Article

Chen, Jie and de Hoogh, Kees and Gulliver, John and Hoffmann, Barbara and Hertel, Ole and Ketzel, Matthias and Bauwelinck, Mariska and van Donkelaar, Aaron and Hvidtfeldt, Ulla A. and Katsouyanni, Klea and Janssen, Nicole A. H. and Martin, Randall V. and Samoli, Evangelia and Schwartz, Per E. and Stafoggia, Massimo and Bellander, Tom and Strak, Maciek and Wolf, Kathrin and Vienneau, Danielle and Vermeulen, Roel and Brunekreef, Bert and Hoek, Gerard. (2019) A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide. Environment international, 130. p. 104934.

de Hoogh, Kees and Chen, Jie and Gulliver, John and Hoffmann, Barbara and Hertel, Ole and Ketzel, Matthias and Bauwelinck, Mariska and van Donkelaar, Aaron and Hvidtfeldt, Ulla A. and Katsouyanni, Klea and Klompmaker, Jochem and Martin, Randal V. and Samoli, Evangelia and Schwartz, Per E. and Stafoggia, Massimo and Bellander, Tom and Strak, Maciej and Wolf, Kathrin and Vienneau, Danielle and Brunekreef, Bert and Hoek, Gerard. (2018) Spatial PM2.5, NO2, O3 and BC models for Western Europe - evaluation of spatiotemporal stability. Environment international, 120. pp. 81-92.

Gao, Guanjun and Walser, Jean-Claude and Beaucher, Michelle L. and Morciano, Patrizia and Wesolowska, Natalia and Chen, Jie and Rong, Yikang S.. (2010) HipHop interacts with HOAP and HP1 to protect Drosophila telomeres in a sequence-independent manner. The EMBO journal, Vol. 29, H. 4. pp. 819-829.

Conference or Workshop Item

Ma, Tengfei and Ferber, Patrick and Huo, Siyu and Chen, Jie and Katz, Michael. (2020) Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 34. pp. 5077-5084.

Other

Ferber, Patrick and Ma, Tengfei and Huo, Siyu and Chen, Jie and Katz, Michael. (2019) IPC: A Benchmark Data Set for Learning with Graph-Structured Data. Proceedings in the ICML 2019 Workshop on Learning and Reasoning with Graph-Structured Representations.