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Fredrik D. Johansson
Assistant Professor
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Research Interests
My research is focused on advancing machine learning methods and theory to improve decision making with applications in healthcare. I have also worked on machine learning for use with graph data,
reinforcement learning, algorithmic fairness and natural language processing.
My research is focused on advancing machine learning methods and theory to improve decision making with applications in healthcare. I have also worked on machine learning for use with graph data,
reinforcement learning, algorithmic fairness and natural language processing.
Papers25 papers
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Michael Oberst,Fredrik D. Johansson,Dennis Wei, Tian Gao, Gabriel Brat,David A. Sontag,Kush R. Varshney
AISTATS, pp.788-798, (2020)
EIBibtex
international conference on machine learning, (2020)
Cited by1Bibtex
Applied Network Science, no. 1 (2020): 1-42
Johansson Fredrik D., Wei Dennis, Oberst Michael, Gao Tian, Brat Gabriel,Sontag David,Varshney Kush R.
international conference on artificial intelligence and statistics, pp.788-798, (2019)
Cited by3Bibtex
international conference on artificial intelligence and statistics, (2019): 527-536
Cited by31EIBibtex
Nature medicine, no. 1 (2019): 16-18
Omer Gottesman,Fredrik D. Johansson, Joshua Meier, Jack Dent,Donghun Lee,Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao,Isaac Lage
arXiv: Learning, (2018)
Cited by46EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 3539-3550
Cited by146EIBibtex
arXiv: Applications, (2018)
EIBibtex
arXiv: Machine Learning, (2018)
Cited by26Bibtex
ICML, pp.3076-3085, (2017)
Cited by303EIBibtex
ICML, pp.2769-2777, (2017)
Cited by16EIBibtex
Cited by44Bibtex
arXiv: Machine Learning, (2016)
Cited by1EIBibtex
Annual Conference on Neural Information Processing Systems, (2015)
Cited by6EIBibtex
Discovery Science, (2015)
Cited by6EIBibtex
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