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  • Explanations based on the Missing: Towards Contrastive . . .
    Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives Amit Dhurandhar y1, Pin-Yu Chen , Ronny Luss1, Chun-Chen Tu2, Paishun Ting2, Karthikeyan Shanmugam 1and Payel Das October 30, 2018 Abstract In this paper we propose a novel method that provides contrastive
  • BOOK REVIEWS - JSTOR
    PHILOSOPHICAL EXPLANATIONS By ROBERT NOZICK Cambridge, Harvard University Press, 1981 Pp xii, 764 $25 00 This already much-noted book is an inventive, often dazzling, array of philosophical ideas, a real philosophical feast The menu comprises six chapters: the identity of the self, why is there something rather than noth-
  • OptiLIME: Optimized LIME Explanations for Diagnostic Computer . . .
    bility - a single prediction may obtain different explanations - is one of the major shortcomings This is due to the randomness in the sampling step, as well as to the flexibility in tuning the weights and determines a lack of reliability in the retrieved explanations, making LIME adoption problematic In Medicine especially, clinical
  • Visual Explanations From Deep 3D Convolutional Neural . . .
    Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer’s Disease Classification Chengliang Yang Department of Computer Information Science Engineering University of Florida Gainesville, Florida ximen14@ufl edu Anand Rangarajan Department of Computer Information Science Engineering University of Florida
  • Generating Variable Explanations via Zero-shot Prompt Learning
    grained explanations could contain detailed information that is complementary to coarse-grained explanations For example, variable-specific refactoring (i e , variable rename) and bug lo-calization can benefit from better variable comprehension [8], [9] However, generating variable explanations can be very challenging
  • LIMESegment: Meaningful, Realistic Time Series Explanations
    to the development of feature importance explanations which identify the most salient parts of the model in-put given an output Of these, Locally Interpretable Model-Agnostic Explanations (LIME) (Ribeiro et al , 2016) has become the most popular Adapting LIME to TSC improves understanding of TS latent repre-





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