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  • BAMSE
  • Referenced in 1 article [sw38605]
  • mutation read counts as input and can leverage multiple tumor samples accurately and efficiently ... possible clusterings of mutations into subclones are scored and a user defined number are selected...

  • MachSMT
  • Referenced in 1 article [sw40572]
  • formula (mathcal{I}) as input, MachSMT leverages these learnt models to output a ranking ... improvement in PAR-2 score, notably in logics that have broad applications ... tool that enables users to leverage the collective strength of the diverse set of algorithms...

  • SemMT
  • Referenced in 1 article [sw36201]
  • where efficient equivalence/similarity checking algorithms are available. Leveraging the insight, we propose three semantic similarity ... accuracy and F-Score, respectively. We also explore potential improvements that can be achieved when...

  • FEQA
  • Referenced in 1 article [sw42113]
  • based metric for faithfulness, FEQA, which leverages recent advances in reading comprehension. Given question-answer ... significantly higher correlation with human faithfulness scores, especially on highly abstractive summaries...

  • StructBERT
  • Referenced in 1 article [sw42711]
  • sequential order of words and sentences, which leverage language structures at the word and sentence ... outperforming all published models), the F1 score on SQuAD v1.1 question answering...

  • ColBERT
  • Referenced in 1 article [sw37760]
  • neural network to compute a single relevance score. To tackle this, we present ColBERT ... retaining this fine-granular interaction, ColBERT can leverage the expressiveness of deep LMs while simultaneously...

  • TinyMBERT
  • Referenced in 1 article [sw32542]
  • propose a stage-wise optimization scheme leveraging teacher internal representations that is agnostic of teacher ... inference while retaining 95% of its F1-score for NER over 41 languages...

  • DeepScan
  • Referenced in 1 article [sw30721]
  • LBSNs. Different from existing approaches, DeepScan leverages emerging deep learning technologies to learn users’ dynamic ... achieve excellent prediction performance with an F1-score of 0.964. We also find that...

  • MIO-TCD
  • Referenced in 0 articles [sw27581]
  • CVPR MIO-TCD Challenge that leveraged this dataset and compare them with the results ... performing methods achieve both accuracy and Kappa score above 96% on the classification dataset...

  • EvoNet
  • Referenced in 0 articles [sw15492]
  • models from the ancestor networks are then leveraged, along with computational environmental factor models ... achieve state-of-the-art F_beta score (0.872 at second generation, 0.859 at third...

  • LAPACK
  • Referenced in 1713 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...

  • Mathematica
  • Referenced in 6445 articles [sw00554]
  • Almost any workflow involves computing results, and that...

  • Matlab
  • Referenced in 13702 articles [sw00558]
  • MATLAB® is a high-level language and interactive...

  • R
  • Referenced in 10196 articles [sw00771]
  • R is a language and environment for statistical...

  • ROBETH
  • Referenced in 43 articles [sw00811]
  • ROBETH is the program library for robust statistical...

  • MINITAB
  • Referenced in 210 articles [sw02865]
  • Analyze your data and improve your products and...

  • S-PLUS
  • Referenced in 630 articles [sw02892]
  • S-PLUS is a powerful environment for statistical...

  • SAS/IML
  • Referenced in 82 articles [sw03240]
  • The SAS® System provides a powerful and flexible...

  • UCI-ml
  • Referenced in 3444 articles [sw04074]
  • UC Irvine Machine Learning Repository. We currently maintain...

  • SPSS
  • Referenced in 677 articles [sw04269]
  • SPSS is a computer program used for survey...