Finale Doshi-Velez

Harvard University

Associate Professor

Computer Science (SEAS)

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Research Area

#Computer science#Artificial intelligence#Machine learning#Reinforcement learning#Interpretability#Medicine#Health care#Markov decision process#MEDLINE#Inference

SCIE paper information

Papers relevant to ‘Artificial intelligence’: 11

Research performance of SCIE papers matching with ‘Artificial intelligence’

Citations of SCIE papers SCIE papers 08k16k24k32k40k0306090120150180210240

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • A Bayesian framework for learning rule sets for interpretable classification

    2017/01 JOURNAL OF MACHINE LEARNING RESEARCH 2.281 Impact Factor 139 citations

    Tong Wang, Cynthia Rudin, F. Doshi-Velez, Yimin Liu, Erica Klampfl, Perry MacNeille

  • Guidelines for reinforcement learning in healthcare

    2019/01 NATURE MEDICINE 36.13 Impact Factor 126 citations

    Omer Gottesman, Fredrik Johansson, Matthieu Komorowski, Aldo Faisal, David Sontag, F. Doshi-Velez, Leo Anthony Celi

    DOI : 10.1038/S41591-018-0310-5

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Papers for author ‘Finale Doshi-Velez’: 24

Number of published SCIE papers by year

0369122014201520162017201820192020
H-index 10
Number of NCS papers 3

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • Comorbidity Clusters in Autism Spectrum Disorders: An Electronic Health Record Time-Series Analysis

    2014/01 PEDIATRICS 5.473 Impact Factor 325 citations

    F. Doshi-Velez, Yaorong Ge, Isaac Kohane

    DOI : 10.1542/PEDS.2013-0819

  • Do no harm: a roadmap for responsible machine learning for health care.

    2019/01 NATURE MEDICINE 36.13 Impact Factor 142 citations

    Jenna Wiens, Suchi Saria, Mark Sendak, Marzyeh Ghassemi, Vincent X. Liu, F. Doshi-Velez, Kenneth Jung, Katherine Heller, David Kale, Mohammed Saeed, Pilar N. Ossorio, Sonoo Thadaney-Israni, Anna Goldenberg

    DOI : 10.1038/S41591-019-0548-6

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conference information

Papers relevant to ‘Artificial intelligence’: 20

Research performance of Top-tier Conference matching with ‘Artificial intelligence’

Citations of Top-tier Conference Top-tier Conference paper(s) 020k40k60k80k100k020406080100120140160

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients.

    2017/11 AAAI Top-tier Conference 243 citations

    Andrew Slavin Ross, F. Doshi-Velez

  • Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations.

    2017/08 IJCAI Top-tier Conference 227 citations

    Andrew Slavin Ross, Michael Hughes, F. Doshi-Velez

    DOI : 10.24963/IJCAI.2017/371

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Papers for author ‘Finale Doshi-Velez’: 25

Number of published Top-tier Conference by year

024682014201520162017201820192020
Top-tier Conference 25

*Papers published between 2014 and 2020 were selected, and the citation number was determined by bing.com.

  • Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients.

    2017/11 AAAI Top-tier Conference 243 citations

    Andrew Slavin Ross, F. Doshi-Velez

  • Unfolding physiological state: mortality modelling in intensive care units

    2014/08 KDD Top-tier Conference 231 citations

    Marzyeh Ghassemi, T Naumann, F. Doshi-Velez, Nicole Brimmer, Rohit Joshi, A Rumshisky, Peter Szolovits

    DOI : 10.1145/2623330.2623742

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